Journal articles: 'Hydrothermal power system'

1

Giles, James E. "Representing Hydropower in Hydrothermal Power System." Journal of Water Resources Planning and Management 114, no. 5 (September 1988): 500–516. http://dx.doi.org/10.1061/(asce)0733-9496(1988)114:5(500).

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Pattanayak, D. N., R. N. Chakrabarti, and M. Basu. "Economic Environmental Scheduling of Hydrothermal Power System." Journal of The Institution of Engineers (India): Series B 95, no. 4 (July 9, 2014): 329–36. http://dx.doi.org/10.1007/s40031-014-0121-0.

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Basu, M. "Economic environmental dispatch of hydrothermal power system." International Journal of Electrical Power & Energy Systems 32, no. 6 (July 2010): 711–20. http://dx.doi.org/10.1016/j.ijepes.2010.01.005.

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Basu, M. "Artificial immune system for fixed head hydrothermal power system." Energy 36, no. 1 (January 2011): 606–12. http://dx.doi.org/10.1016/j.energy.2010.09.057.

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Goshovskyi, S., and O. Zurian. "ENVIRONMENTALLY SAFE USAGE OF HYDROPOWER POTENTIAL BY HYDROTHERMAL POWER SUPPLY SYSTEMS." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 4 (87) (2019): 67–75. http://dx.doi.org/10.17721/1728-2713.87.10.

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The article contains the results of scientific research and design work related to environmentally safe usage of hydropower potential of the small rivers of the Dnieper basin. The innovative design solutions for extraction of low-grade heat energy of water and systems for its transformation into energy convenient for consumption were offered. It was established that use of renewable low-grade energy of soil is widely used in environmentally safe and economically sound power systems. At the same time hydropower potential is not widely used in hydrothermal heat pump systems. It was proved that existing hydrothermal systems are not always adjusted to actual operating conditions and object location. The evidence was provided that the scientific approach to development of appropriate configuration of hydrothermal collector, to methodology of their optimal mounting and to efficiency determination depending on operating conditions is quite topical issue. The scientific novelty of the new process approach is use of special design of water collector that has modular configuration and consists of several functionally related water sondes. The efficiency of hydrothermal system was scientifically proved. The paper describes the results of experimental research of efficiency of hydrothermal heat pump system where the low-grade heat energy of water is used as a renewable primary heating energy source for functioning of the heat pump. The authors have developed experimental hydrothermal and geothermal heat pump systems to conduct the research. Both collector and ground section of the system have mounted sensors of temperature, pressure and coolant flow velocity. The software for archiving and visualization of obtained data was developed. The research procedure was developed. As part of study, observation data were received and performance efficiency of geothermal and hydrothermal systems was calculated. The comparative analysis of energy systems depending on used renewable energy source was carried out. The conclusion was made that use of hydrothermal heat pump systems is environmentally safe. The data obtained as part of study have great scientific and applied significance for engineering of heat pump energy systems using hydropower potential of the small rivers.

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Sutradhar, Suman. "Restructured Hydrothermal System: Slack bus Management." WSEAS TRANSACTIONS ON POWER SYSTEMS 17 (July 4, 2022): 169–76. http://dx.doi.org/10.37394/232016.2022.17.17.

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In order to logically represent the power system, it is necessary to develop a concept to compensate various mathematical imbalances, for which the concept of slack bus came into the picture. But when large system is considered, the overall limit of slack bus is not sufficient to compensate the imbalances. In addition to this, the practical depiction of slack bus does not hold when multiple time intervals are considered in HTS problem. In this research, the concept of slack bus is modified and improved so that it can be used for a large power system in restructured hydrothermal system. Furthermore an improved ABC algorithm, i.e. GOABC is proposed, which provides superior diversity and enhanced convergence compared to ABC algorithm.

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Gayibov, Tulkin, and Bekzod Pulatov. "Optimization of Short-term Modes of Hydrothermal Power System." E3S Web of Conferences 209 (2020): 07014. http://dx.doi.org/10.1051/e3sconf/202020907014.

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Optimal planning of short-term modes of power systems is a complex nonlinear programming problem with many simple, functional and integral constraints in the form of equalities and inequalities. Especially, the presence of integral constraints causes significant difficulties in solving of such problem. Since, under such constraints, the modes of power system in separate time intervals of the considered planning period become dependent on the values of the parameters in other intervals. Accordingly, it becomes impossible to obtain the optimal mode plan as the results of separate optimization for individual time intervals of the period under consideration. And the simultaneous solution of the problem for all time intervals of the planning period in the conditions of large power systems is associated with additional difficulties in ensuring the reliability of convergence of the iterative computational process. In this regard, the issues of improving the methods and algorithms for optimization of short-term modes of power systems containing thermal and large hydroelectric power plants with reservoirs, in which water consumption is regulated in the short-term planning period, remains as an important task. In this paper, we propose the effective algorithm for solving the problem under consideration, which makes it possible to quickly and reliably determine the optimal operating modes of the power system for the planned period. The results of research of effectiveness of this algorithm are presented on the example of optimal planning of daily mode of the power system, which contains two thermal and three hydraulic power plants..

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Xie, Keren, Tiefeng Li, Yanyan Zhang, Shijun Wu, and Canjun Yang. "Multiphysics Co-Simulation and Experimental Study of Deep-Sea Hydrothermal Energy Generation System." Journal of Marine Science and Engineering 11, no. 5 (May 7, 2023): 994. http://dx.doi.org/10.3390/jmse11050994.

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With the continuous deepening of research on seafloor hydrothermal observations, the demand for a sustainable power supply of observation equipment is increasingly urgent. A kind of device that utilizes the temperature difference near hydrothermal vents to provide power is studied. However, the frequent experiments required for in-depth research on this device contradict the rare opportunities for hydrothermal field experiments and the difficulty in laboratory replication. In response to the above difficulties, a multiphysics co-simulation of the deep-sea hydrothermal energy generation system is studied in this paper. Firstly, the output performance analysis and modeling of the TEG installed in the device under pressure are carried out. An enhanced heat transfer model of the system is proposed for the hydrothermal fluids in the flow channel of the device. Then, the thermoelectric model of TEG and the heat transfer model of the device are jointly simulated by using Fluent and Simulink software. Eventually, the simulation data are compared with the data obtained through experiments. The average absolute of the relative error of the open-circuit voltage is 5.07%, and the maximum one is 6.28%. The corresponding values of the maximum output power are 5.16% and 6.79%, respectively. Therefore, the performance of the hydrothermal thermoelectric power generation system and the correctness of the proposed overall co-simulation model are verified.

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Jena, Chitralekha, and Mousumi Basu. "Group Search Optimization for Fixed Head Hydrothermal Power System." Journal of The Institution of Engineers (India): Series B 98, no. 1 (May 25, 2016): 35–41. http://dx.doi.org/10.1007/s40031-016-0234-8.

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Basu, M. "Quasi-oppositional group search optimization for hydrothermal power system." International Journal of Electrical Power & Energy Systems 81 (October 2016): 324–35. http://dx.doi.org/10.1016/j.ijepes.2016.02.051.

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Anastasiadis, Anestis, Georgios Kondylis, Georgios A. Vokas, and Panagiotis Papageorgas. "Hydrothermal coordination in power systems with large-scale integration of renewable energy sources." Management of Environmental Quality: An International Journal 27, no. 3 (April 11, 2016): 246–58. http://dx.doi.org/10.1108/meq-04-2015-0054.

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Purpose – The purpose of this paper is to examine the feasibility of an ideal power network that combines many different renewable energy technologies such as wind power, concentrated solar power (CSP) and hydroelectric power. This paper emphasizes in finding the benefits arising from hydrothermal coordination compared to the non-regulated integration of the hydroelectric units, as well as the benefits from the integration of wind power and CSP. Design/methodology/approach – Artificial Neural Networks were used to estimate wind power output. As for the CSP system, a three-tier architecture which includes a solar field, a transmission-storage system and a production unit was used. Each one of those separate sections is analyzed and the process is modeled. As for the hydroelectric plant, the knowledge of the water’s flow rated has helped estimating the power output, taking into account the technical restrictions and losses during transmission. Also, the economic dispatch problem was solved by using artificial intelligence methods. Findings – Hydrothermal coordination leads to greater thermal participation reduction and cost reduction than a non-regulated integration of the hydrothermal unit. The latter is independent from the degree of integration of the other renewable sources (wind power, CSP). Originality/value – Hydrothermal coordination in a power system which includes thermal units and CSP for cost and emissions reduction.

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Gupta, Deepak Kumar, Ankit Kumar Soni, Amitkumar V. Jha, Sunil Kumar Mishra, Bhargav Appasani, Avireni Srinivasulu, Nicu Bizon, and Phatiphat Thounthong. "Hybrid Gravitational–Firefly Algorithm-Based Load Frequency Control for Hydrothermal Two-Area System." Mathematics 9, no. 7 (March 25, 2021): 712. http://dx.doi.org/10.3390/math9070712.

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The load frequency control (LFC) and tie-line power are the key deciding factors to evaluate the performance of a multiarea power system. In this paper, the performance analysis of a two-area power system is presented. This analysis is based on two performance metrics: LFC and tie-line power. The power system consists of a thermal plant generation system and a hydro plant generation system. The performance is evaluated by designing a proportional plus integral (PI) controller. The hybrid gravitational search with firefly algorithm (hGFA) has been devised to achieve proper tuning of the controller parameter. The designed algorithm involves integral time absolute error (ITAE) as an objective function. For two-area hydrothermal power systems, the load frequency and tie-line power are correlated with the system generation capacity and the load. Any deviation in the generation and in the load capacity causes variations in the load frequencies, as well as in the tie-line power. Variations from the nominal value may hamper the operation of the power system with adverse consequences. Hence, performance of the hydrothermal power system is analyzed using the simulations based on the step load change. To elucidate the efficacy of the hGFA, the performance is compared with some of the well-known optimization techniques, namely, particle swarm optimization (PSO), genetic algorithm (GA), gravitational search algorithm (GSA) and the firefly algorithm (FA).

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R. G. Al-Shakarchi, H. D. H. Al-Has, M. "Short-Term Hydrothermal Power System Unit Commitment: A Comparative Study." Electric Machines & Power Systems 28, no. 10 (October 2000): 955–68. http://dx.doi.org/10.1080/07313560050129837.

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14

Contaxis, G. C., and S. D. Kavatza. "Hydrothermal scheduling of a multireservoir power system with stochastic inflows." IEEE Transactions on Power Systems 5, no. 3 (1990): 766–73. http://dx.doi.org/10.1109/59.65904.

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15

Arya, Yogendra, Sushil K. Gupta, and Nisha Singh. "Optimal Power-Frequency Control in Deregulated Thermal, Hydro and Hydrothermal Power Systems with AC-DC Links." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 5 (October 28, 2019): 414–24. http://dx.doi.org/10.2174/2352096511666180705123018.

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Background: A comparative analysis of Automatic Generation Control (AGC) of two-area electric power systems interconnected by AC and AC-DC links under deregulated environment is conducted. Each area has Thermal-Thermal (TT), Thermal-Hydro (TH) and/or Hydro-Hydro (HH) multiple power sources. A maiden attempt is made to study the demeanour of HH power system under restructured mode. Methods: The state space models of the power systems have been developed to simulate all market transactions probable in a deregulated power environment and optimal proportional integral structured controller is applied to improve the dynamic performance. The concept of DISCO participation matrix is harnessed to simulate the transactions. Results: Eigenvalue analysis is carried out to assess the comparative stability analysis of the power systems with/without AC-DC links. Further, the dynamic responses of TT, TH and HH power systems are contrasted in the presence of AC link and AC-DC links. The inclusion of AC-DC links improves the dynamic performance of all the systems remarkably, however, the responses of HH system are sluggish/poor with large undershoots in comparison to TT and TH systems. Also, TH system exhibits degraded dynamic performance compared to TT system. Conclusion: Moreover, optimal controller is found competent to demonstrate the matching of generation with power demand under different market transactions.

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Dong, Jia Rui, Chui Yong Zheng, Guang Yuan Kan, Zhi Jia Li, and Min Zhao. "Application of SCE-UA Approach to Economic Load Dispatch of Hydrothermal Generation System." Applied Mechanics and Materials 448-453 (October 2013): 4296–303. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.4296.

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The practical hydrothermal system is highly complex and possesses nonlinear relationship of the problem variables, cascading nature of hydraulic network and water transport delay, which make the problem of finding global optimum difficult using standard optimization methods. This paper presents a new approach to the solution of optimal power generation to short-term hydrothermal scheduling problem, using shuffled complex evolution (SCE-UA) method. The proposed method introduces the new concept of competitive evolution and complex shuffling, which ensure that the information on the parameter space gained by each of individual complexes is shared throughout the entire population. This conducts an efficient search of the parameter space. In this study, the hydrothermal scheduling is formulated as an objective problem that maximizes the social welfare. Penalty function is proposed to handle the equality, inequality constraints especially active power balance constraint and ramp rate constraints. The simulation results reveal that SCE-UA effectively overcomes the premature phenomenon and improves the global convergence and optimization searching capability. It is a relatively consistent, effective and efficient optimization method in solving the short-term hydrothermal scheduling problem.

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Šulek, P. "A hydro power system operation using Genetic Algorithms and mixed-integer nonlinear programming." Slovak Journal of Civil Engineering 20, no. 1 (March 1, 2012): 1–9. http://dx.doi.org/10.2478/v10189-012-0001-z.

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A hydro power system operation using Genetic Algorithms and mixed-integer nonlinear programmingThis paper proposes a new hybrid optimization method for solving a hydrothermal coordination problem. In general, the problem is decomposed into smaller hydro and thermal sub-problems which are solved separately. The hydro sub-problem is solved by the peak shaving method using the proposed hybrid optimization method. It combines genetic algorithms with the traditional numerical optimization method. The hybrid method has been applied to a real hydrothermal system, i.e., the Slovak power system. The results have proved the efficiency of the proposed method.

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Tan, Zhongfu, Liwei Ju, Huanhuan Li, Chao Qin, and Daoxin Peng. "Multiobjective CVaR Optimization Model and Solving Method for Hydrothermal System Considering Uncertain Load Demand." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/741379.

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In order to solve the influence of load uncertainty on hydrothermal power system operation and achieve the optimal objectives of system power generation consumption, pollutant emissions, and first-stage hydropower station storage capacity, this paper introduced CVaR method and built a multiobjective optimization model and its solving method. In the optimization model, load demand’s actual values and deviation values are regarded as random variables, scheduling objective is redefined to meet confidence level requirement and system operation constraints and loss function constraints are taken into consideration. To solve the proposed model, this paper linearized nonlinear constraints, applied fuzzy satisfaction, fuzzy entropy, and weighted multiobjective function theories to build a fuzzy entropy multiobjective CVaR model. The model is a mixed integer linear programming problem. Then, six thermal power plants and three cascade hydropower stations are taken as the hydrothermal system for numerical simulation. The results verified that multiobjective CVaR method is applicable to solve hydrothermal scheduling problems. It can better reflect risk level of the scheduling result. The fuzzy entropy satisfaction degree solving algorithm can simplify solving difficulty and get the optimum operation scheduling scheme.

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Yu, Xiang, and Xue Qing Zhang. "Multi-Criteria Evaluation of the Scheduling of a Hydrothermal Power System Using Analytic Hierarchy Process." Applied Mechanics and Materials 438-439 (October 2013): 1367–71. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.1367.

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The scheduling of a hydrothermal power system needs to take into account multiple economic, social and environmental criteria, such as power production, flood protection and control, water supply for agricultural, industrial and domestic uses, navigation, water quality control, ecological environment protection, fishery, recreation, and pollutant emission control. In addition, determination of the scheduling must involve the participation of various stakeholders. Hence, this paper proposes a framework for multi-criteria evaluation of the scheduling of a hydrothermal power system based on group decision making using analytic hierarchy process (AHP). The AHP is used to select a balanced scheduling scheme out of a number of alternatives through performing pairwise comparisons according to judgments of the decision group members.

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Ren, Ping, and Nan Li. "Short-Term Hydrothermal Scheduling Based on Harmony Search Algorithm." Advanced Materials Research 1044-1045 (October 2014): 1507–10. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1507.

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In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search (HS) algorithm is one of the new heuristic algorithms. The harmony search (HS) optimization algorithm is introduced for the first time in solving the optimal short-term hydrothermal scheduling in power systems. A case on consisting of 9 buses, 11 transmission lines, four thermal plants and three hydro plants in Indian utility system is presented to show the methodology’s feasibility and efficiency. Compared with the optimal short-term hydrothermal scheduling of power systems, the search time of the HS optimization algorithm is shorter and the result is close to the ideal solution.

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Halliburton, T. S. "An optimal hydrothermal planning model for the New Zealand power system." Australian Journal of Electrical and Electronics Engineering 1, no. 3 (January 2004): 193–98. http://dx.doi.org/10.1080/1448837x.2004.11464107.

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Chade Ricosti, Juliana F., and Ildo L. Sauer. "An assessment of wind power prospects in the Brazilian hydrothermal system." Renewable and Sustainable Energy Reviews 19 (March 2013): 742–53. http://dx.doi.org/10.1016/j.rser.2012.11.010.

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Hyman, B. "Optimum integration of solar technologies into an existing hydrothermal power system." Energy 10, no. 9 (September 1985): 1029–41. http://dx.doi.org/10.1016/0360-5442(85)90128-8.

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Oreijah, Mowffaq, Abhijit Date, and Aliakbar Akbarzadaha. "Comparison between Rankine Cycle and Trilateral Cycle in Binary System for Power Generation." Applied Mechanics and Materials 464 (November 2013): 151–55. http://dx.doi.org/10.4028/www.scientific.net/amm.464.151.

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An experimental validation on laboratory scale has been conducted to investigate and to compare two thermodynamic cycles, Trilateral Flash Cycle (TFC) and Organic Rankine Cycle (ORC). The research covers the heat engine utilizing a hydrothermal resource to compare the performance of TFC and ORC. This research would help to analysis the thermal efficiency and power efficiency for both cycles. TFC shows a higher power production than in ORC for the same applied parameters. ORC, however, can be operated at lower rotational speed than for TFC. This project could help, also, to evaluate the current two phase screw expander for both cycles. It is concluded to propose a larger heat exchanger for TFC as the heat recovery can be more reliable in this cycle than in ORC. This research can be applied to generate electrical power from hydrothermal resources such as geothermal energy and solar thermal.

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Trama, Cibelle Pereira, Amaro Olímpio Pereira Júnior, Ana Paula Cardoso Guimarães, André Luiz Diniz, and Leonardo dos Santos Reis Vieira. "Cost–Benefit Analysis of Solar Thermal Plants with Storage in a Hydrothermal System." Energies 14, no. 18 (September 9, 2021): 5662. http://dx.doi.org/10.3390/en14185662.

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Economic feasibility studies of concentrated solar power (CSP) plants with thermal energy storage (TES) systems have been mainly based on the levelized cost of electricity (LCOE), disregarding the economic benefits to the electricity system resulting from the dispatchability of the CSP plants. The analysis of these benefits is essential since the existence of storage can provide greater operating flexibility to the system. Although there are few studies on the benefits of CSP plants in thermoelectric systems, this analysis has not yet been done in a predominantly hydroelectric system. In this paper, CSP plants with TES systems were inserted in a hydrothermal system in order to estimate the economic benefits and the net cost of electricity generated by those plants. The System Advisor Model (SAM) and the hydrothermal scheduling model DESSEM were used in a real case study of inclusion of CSP plants in the Brazilian system. The results indicate that the cost of a CSP plant, previously estimated by the LCOE, can be reduced by at least 37% when considering its benefits to a hydrothermal system, increasing its competitiveness with other technologies. Therefore, we propose the use of the net cost for an appropriate comparison among energy sources.

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Jeyalakshmi, V., and P. Subburaj. "PSO-scaled fuzzy logic to load frequency control in hydrothermal power system." Soft Computing 20, no. 7 (April 3, 2015): 2577–94. http://dx.doi.org/10.1007/s00500-015-1659-8.

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Benavides, Carlos, Ricardo Álvarez, Rigoberto Torres, Rodrigo Moreno, Marcelo Matus, D. Francisco Muñoz, José M. González, Guillermo Jiménez-Estévez, and Rodrigo Palma-Behnke. "Capacity payment allocation in hydrothermal power systems with high shares of renewable energies." E3S Web of Conferences 140 (2019): 11008. http://dx.doi.org/10.1051/e3sconf/201914011008.

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The increasing use of variable generation technologies (VGTs) in power systems, such as wind and photovoltaic generation, has introduced new challenges in the definition of capacity remuneration mechanisms for promoting system reliability. In this context, in this article we propose a novel framework for determining the capacity value of VGTs to contribute to the generation system adequacy, as well as a corresponding method for allocating capacity payments in hydrothermal power systems. We show that the capacity value of VGTs increases with the presence of water reservoirs, since VGTs help relieving hydropower plants from using scarce water resources during off-peak hours thus making more resources available to supply the demand during peak hours.

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Nadakuditi, Gouthamkumar, Harish Pulluri, Preeti Dahiya, K. S. R. Murthy, P. Srinivasa Varma, Mohit Bajaj, Torki Altameem, Walid El-Shafai, and Mostafa M. Fouda. "Non-Dominated Sorting-Based Hybrid Optimization Technique for Multi-Objective Hydrothermal Scheduling." Energies 16, no. 5 (February 28, 2023): 2316. http://dx.doi.org/10.3390/en16052316.

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Short-term hydrothermal scheduling problem plays an important role in maintaining a high degree of economy and reliability in power system operational planning. Since electric power generation from fossil fired plants forms a major part of hydrothermal generation mix, therefore their emission contributions cannot be neglected. Hence, multi-objective short term hydrothermal scheduling is formulated as a bi-objective optimization problem by considering (a) minimizing economical power generation cost, (b) minimizing environmental emission pollution, and (c) simultaneously minimizing both the conflicting objective functions. This paper presents a non-dominated sorting disruption-based oppositional gravitational search algorithm (NSDOGSA) to solve multi-objective short-term hydrothermal scheduling (MSHTS) problems and reveals that (i) the short-term hydrothermal scheduling problem is extended to a multi-objective short-term hydrothermal scheduling problem by considering economical production cost (EPC) and environmental pollution (EEP) simultaneously while satisfying various diverse constraints; (ii) by introducing the concept of non-dominated sorting (NS) in gravitational search algorithm (GSA), it can optimize two considered objectives such as EPC and EEP simultaneously and can also obtain a group of conflicting solutions in one trial simulation; (iii) in NSDOGSA, the objective function in terms fitness for mass calculation has been represented by its rank instead of its EPC & EEP values by using the NS approach; (iv) an elite external archive set is defined to keep the NS solutions with the idea of spread indicator; (v) the optimal schedule value is extracted by using fuzzy decision approach; (vi) a consistent handling strategy has been adopted to handle effectively the system constraints; (vii) finally, the NSDOGSA approach is verified on two test systems with valve point loading effects and transmission loss, and (viii) computational discussion show that the NSDOGSA gives improved optimal results in comparison to other existing methods, which qualifies that the NSDOGSA is an effective and competitive optimization approach for solving complex MSHTS problems.

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Kaliannan, Jagatheesan, Anand Baskaran, and Nilanjan Dey. "Automatic Generation Control of Thermal-Thermal-Hydro Power Systems with PID Controller using Ant Colony Optimization." International Journal of Service Science, Management, Engineering, and Technology 6, no. 2 (April 2015): 18–34. http://dx.doi.org/10.4018/ijssmet.2015040102.

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In this work, Artificial Intelligence (AI) based Ant Colony Optimization (ACO) algorithm is proposed for Load Frequency Control (LFC) of interconnected multi–area hydrothermal power systems. Area 1&2 are thermal power systems and area 3 is a hydro power system, all the areas are interconnected through the appropriate tie-line. Thermal and hydro power plants are applied with reheat turbine and electric governor respectively. Investigated power system initially applied with conventional Proportional-Integral (PI) controller and controller parameters are optimized by using trial and error method considering Integral Time Absolute Error (ITAE) objective function. After that, the system is equipped with Proportional – Integral – Derivative (PID) controller and controller parameters are optimized by using ACO algorithm with ITAE objective function. The superiority of the proposed algorithm has been demonstrated by comparing conventional controller. Finally, The Simulation results of multi-area power system prove the effectiveness of the proposed optimization technique in LFC scheme and show its superiority over conventional PI controller.

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Ã§elik gÃ¼l, GÃ¼lÅŸah, and Figen KurtuluÅŸ. "MILD HYDROTHERMAL SYNTHESIS, CRYSTAL STRUCTURE AND MORPHOLOGY OF LiV2O5." JOURNAL OF ADVANCES IN PHYSICS 9, no. 1 (June 4, 2015): 2299–302. http://dx.doi.org/10.24297/jap.v9i1.1440.

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Anode materials with high storage capacity and high power density attract considerable interest because of recent advances in Li-ion battery used electronic devices. Vanadium based oxides are the one possible group. LiV2O5 was synthesized by hydrothermal method at 3 days (72 hours) and 180 ÂºC. Structural characterization was performed by powder X-ray diffractometer and fourier transform infrared spectroscopy. Morphology was scanned by scanning electron microscopy with energy disperse X-ray analysis. The first time synthesized material is crstallisized in orthorombic system with unit cell parameters a = 11.31, b = 9.552, c = 3.585 Ã… and space group Pmn21 (31).Â

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Abraham, R. J., D. Das, and A. Patra. "Effect of TCPS on oscillations in tie-power and area frequencies in an interconnected hydrothermal power system." IET Generation, Transmission & Distribution 1, no. 4 (2007): 632. http://dx.doi.org/10.1049/iet-gtd:20060361.

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Habibollahzadeh, H., and J. A. Bubenko. "Application of Decomposition Techniques to Short-Term Operation Planning of Hydrothermal Power System." IEEE Power Engineering Review PER-6, no. 2 (February 1986): 28–29. http://dx.doi.org/10.1109/mper.1986.5528154.

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PAN, Ching-Tsai, and Hong-Chan Chang. "A Novel Approach for Limit Cycle Analysis of an Interconnected Hydrothermal Power System." Electric Machines & Power Systems 14, no. 3-4 (January 1988): 231–47. http://dx.doi.org/10.1080/07313568808909286.

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Habibollahzadeh, H., and J. A. Bubenko. "Application of Decomposition Techniques to Short-Term Operation Planning of Hydrothermal Power System." IEEE Transactions on Power Systems 1, no. 1 (1986): 41–47. http://dx.doi.org/10.1109/tpwrs.1986.4334842.

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Sutlovic, Elis, Matislav Majstrovic, and Ivan Sarajcev. "A method for the long-term scheduling of hydrothermal power system with multiple user reservoirs." Thermal Science 11, no. 3 (2007): 75–83. http://dx.doi.org/10.2298/tsci0703075s.

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This paper presents an optimization-based method for the long-term scheduling of hydrothermal power system with several multiple-user reservoirs. The proposed method maximizes the profit of various types of water utilization taking into account limited water resources and all accomplishable restrictions. Hydroelectric power plants and other water users are treated like a peer participant in the profit realization. The method has been implemented in a computer program and tested on real system. .

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Duan, Jiefeng, and Zhiqiang Jiang. "Joint Scheduling Optimization of a Short-Term Hydrothermal Power System Based on an Elite Collaborative Search Algorithm." Energies 15, no. 13 (June 24, 2022): 4633. http://dx.doi.org/10.3390/en15134633.

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The joint scheduling optimization of hydrothermal power is one of the most important optimization problems in the power system, which is a non-linear, multi-dimensional, non-convex complex optimization problem, and its difficulty in solving is increasing with the expansion of the grid-connected scale of hydropower systems in recent years. In this paper, three effective improvement strategies are proposed given the shortcomings of the standard collaborative search algorithm, which easily falls into local optimization and weakening of global search ability in later stages. Based on this, an elite collaborative search algorithm (ECSA) coupled with three improvement strategies is established. On this basis, taking the classic joint scheduling problem of a hydrothermal power system as an example, the optimization model with the goal of the least pollutant gas emission is constructed, and the system constraint treatment method is proposed. In addition, five algorithms, i.e., ECSA, CSA, PSO, GWO, and WOA are used to solve the model, respectively. Through the comparison of results, taking the median as an example, the emission of polluting gases of ESCA is reduced by about 1.8%, 13.1%, 38.2%, and 11.2%, respectively, and it can be found that ECSA has obvious advantages in the convergence speed and quality compared with the other four algorithms, and it has a strong ability for global search and jumps out of the local optimal.

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Mohamed, Maha, Abdel-Raheem Youssef, Salah Kamel, Mohamed Ebeed, and Ehab E. Elattar. "Optimal Scheduling of Hydro–Thermal–Wind–Photovoltaic Generation Using Lightning Attachment Procedure Optimizer." Sustainability 13, no. 16 (August 7, 2021): 8846. http://dx.doi.org/10.3390/su13168846.

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This paper presents an effective solution for the short-term hydrothermal generation scheduling (STHS) problem using an integration of wind and photovoltaic power (PV) system. Wind and PV power are integrated into the power system to minimize the total fuel cost of thermal units. In this paper, the lightning attachment procedure optimization algorithm (LAPO) is employed to solve the STHS problem using the wind and PV power integration system. The proposed method is applied for solving five test systems with different characteristics, considering the valve-point loading impact of the thermal unit. The first and third test systems include hydro and thermal units only, and the rest of the systems consist of hydro and thermal units with integrating wind and PV power-generating units to inspect the effect of renewable energy sources in the selected test systems. The simulation results are compared with other studied methods. It is found that the proposed method is superior, and it has the ability to obtain the best solutions with respect to other optimization methods that are implemented to solve the STHS problem.

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Hamodat, Zaid, and Galip Cansever. "Automated Generation Control of Multiple-Area Electrical System with an Availability-Based Tariff Pricing Scheme Regulated by Whale Optimized Fuzzy PID Controller." International Journal of Photoenergy 2021 (June 18, 2021): 1–13. http://dx.doi.org/10.1155/2021/5596527.

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In this research, a whale-optimized fuzzy PID controller was developed to manage automatic generation control in multiple-area electrical energy systems with an availability-based tariff (ABT) pricing scheme. The objective of this work is to minimize the power production costs, area control errors (ACEs), and marginal costs of the multiple-area electrical energy system with real-time load and frequency variation conditions. The generation of power, deviation of power in the tie line, and deviation of frequency of the interconnected three-area electrical energy system, including the hydrothermal steam power plant and gas power plant, will be measured and analyzed rigorously. Based on the output from the whale optimization, the fuzzy PID controller regulates the deviation of power in the tie line and the deviation of frequency of the interconnected three-area electrical energy system. The reliability and suitability of the proposed optimization, i.e., whale-optimized fuzzy PID controller, are investigated against already presented methods such as particle swarm optimization and genetic algorithms.

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Chiang, Chao Lung. "Hybrid Differential Evolution Based Multi-Objective Approach for Hydrothermal Power Systems." Applied Mechanics and Materials 212-213 (October 2012): 1009–14. http://dx.doi.org/10.4028/www.scientific.net/amm.212-213.1009.

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This paper develops a hybrid differential evolution based multi-objective approach for the optimal economic emission dispatch (EED) of the hydrothermal power system (HPS), considering non-smooth fuel cost and emission level functions. The hybrid differential evolution (HDE) equipped with an accelerated operation and a migration operation can efficiently search and actively explore solutions. The multiplier updating (MU) is introduced to handle the equality and inequality constraints of the HPS, and the ε-constraint technique is employed to manage the multi-objective problem. To show the advantages of the proposed algorithm, one example addressing the best compromise is applied to test the EED problem of the HPS. The proposed approach integrates the HDE, the MU and the ε-constraint technique, revealing that the proposed approach has the following merits - ease of implementation; applicability to non-smooth fuel cost and emission level functions; better effectiveness than the previous method; better efficiency than differential evolution (DE) with the MU (DE-MU), and the requirement for only a small population in applying the optimal EED problem of the HPS.

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Yadav, Deepika, R. Naresh, and Veena Sharma. "Improved Particle Swarm Optimization Algorithm for Hydrothermal Generation Scheduling." Hydro Nepal: Journal of Water, Energy and Environment 15 (October 22, 2014): 65–72. http://dx.doi.org/10.3126/hn.v15i0.11298.

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The short term hydrothermal scheduling (STHTS) problem is a complicated nonlinear dynamic constrained optimization problem, which plays an important role in the economic operation of electric power systems. The objective of hydro thermal generation scheduling is to minimize the overall operation cost and to satisfy the given constraints by scheduling optimally the power outputs of all hydro and thermal units under study periods, given electrical load and limited water resource. This paper presents an improved particle swarm optimization (IPSO) algorithm for solving the STHTS problem considering valve point loading for fixed head hydro-thermal system. Various other heuristic algorithms such as basic PSO, modified PSO, differential evolution, real variable genetic algorithm (RVGA) are also implemented on the same problem. The programs for these algorithms have been developed in Matlab software. From the simulation results, it is found that the IPSO based approach is able to provide a better solution at a lesser computational effort.DOI: http://dx.doi.org/10.3126/hn.v15i0.11298HYDRO Nepal JournalJournal of Water, Energy and EnvironmentVolume: 15, 2014, JulyPage: 65-72

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Laik, Shanchari, Shatabdi Dey, Puja Das, Sneha Sultana, Sourav Paul, and Provas Kumar Roy. "Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm." International Journal of Energy Optimization and Engineering 4, no. 2 (April 2015): 22–35. http://dx.doi.org/10.4018/ijeoe.2015040102.

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Automatic generation control (AGC) is added in power system to ensure constancy in frequency and tie-line power of an interconnected multi-area power system. In this article, proportional integral (PI) controlled based AGC of two-area hydrothermal system is solved by cuckoo optimization algorithm (COA). It is one of the most powerful stochastic real parameter optimization in current use. The design objective is to improve the dynamic performance of the interconnected system following a disturbance. System performance is examined considering 1% step load perturbation in thermal area with generation rate constraints. The results are compared with BBO, GA and DE to show the effectiveness of the proposed method. Computed results shows that the proposed method effectively improve the performance of the objective function with corresponding minimization of the overshoot, undershoot and settling time to reach steady state.

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Ebert, P. S., and Mauricio Sperandio. "Influence of Integration of Wind Power in Planning the Operation of a Hydrothermal System Using Dynamic Systems." IEEE Latin America Transactions 16, no. 5 (May 2018): 1432–38. http://dx.doi.org/10.1109/tla.2018.8408438.

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Mamaev, Dmitry. "Estimation of the thermo-hydrodynamic parameters of the coolant in the Koshelev geothermal system." E3S Web of Conferences 56 (2018): 01021. http://dx.doi.org/10.1051/e3sconf/20185601021.

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The Koshelev geothermal system is located in the southern part of the Kamchatka Peninsula. On the surface, the system manifests itself by steam-hydrotherms at two thermal fields. Estimates of the predicted power from different data sources vary significantly, because the parameters of the coolant at great depths are not currently known and are presumable. Based on the available geological and geophysical data, a numerical threedimensional thermo-hydrodynamic model of the geothermal system has been developed. The model was calibrated according to thermometry data in exploratory wells. The calibrated model adequately describes the distribution of thermo-hydrodynamic parameters of the coolant in the system. It can be used to evaluate the coolant parameters during the development of the thermal resources of the Koshelev geothermal system. In the course of computational experiments, the developed model is used to obtain the distribution of the thermo-hydrodynamic parameters of the hydrothermal coolant in the geothermal system in the natural state and during the development of thermal resources.

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Luo, Chao, Jun Zhao, Yongzhen Wang, Hongmei Yin, Qingsong An, and Yulie Gong. "Design and experimental research on the combined flash-binary geothermal power generation system driven by low-medium temperature geothermal system." Thermal Science 24, no. 2 Part A (2020): 831–42. http://dx.doi.org/10.2298/tsci181112013l.

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To match for the different temperature of the geothermal resource and strengthen the flexibility of organic Rankine cycle, a variable capacity power generation superstructure based on flash and organic Rankine cycle for geothermal energy was proposed. A combined flash-binary experimental prototype is newly established to investigate thermodynamic performance both on system and equipment in this paper. Pressured hot water is adopted as the extensive worldwide existed hydrothermal geothermal resource, eliminating the influence of the used heat transfer oil on evaporating process. The experimental results show that there is an optimal mass-flow rate of R245fa under the condition of different heat source temperature. Flash and binary power subsystem dominate the flash-binary power system, respectively, when the heat source temperature is 120? and 130?. The isotropic efficiency of modified compressor just between 0.2 and 0.25. The power output of per ton geofluid are 0.78 kWh/t and 1.31 kWh/t, respectively, when the heat source temperature are 120? and 130?. These results will predict the operation data of flash-binary power plant driven by the low-medium temperature geothermal water for construction in western of China.

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Sherkat, V. R., R. Campo, K. Moslehi, and E. o. Lo. "Stochastic Long-Term Hydrothermal Optimization for a Multireservoir System." IEEE Transactions on Power Apparatus and Systems PAS-104, no. 8 (August 1985): 2040–50. http://dx.doi.org/10.1109/tpas.1985.318779.

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WANG, SHUN-YUAN, CHIN-MING HONG, WEI-TZEN YANG, and CHUN-CHANG LIU. "Constructing a sliding regime for load-frequency control of an interconnected hydrothermal power system." International Journal of Systems Science 26, no. 3 (March 1995): 467–80. http://dx.doi.org/10.1080/00207729508929046.

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Abraham, Rajesh Joseph, D. Das, and Amit Patra. "Automatic generation control of an interconnected hydrothermal power system considering superconducting magnetic energy storage." International Journal of Electrical Power & Energy Systems 29, no. 8 (October 2007): 571–79. http://dx.doi.org/10.1016/j.ijepes.2007.01.004.

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Ren, Kun, and Qu Jihong. "A Multiobjective Interval Programming Model for Wind-Hydrothermal Power System Dispatching Using 2-Step Optimization Algorithm." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/825216.

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Wind-hydrothermal power system dispatching has received intensive attention in recent years because it can help develop various reasonable plans to schedule the power generation efficiency. But future data such as wind power output and power load would not be accurately predicted and the nonlinear nature involved in the complex multiobjective scheduling model; therefore, to achieve accurate solution to such complex problem is a very difficult task. This paper presents an interval programming model with 2-step optimization algorithm to solve multiobjective dispatching. Initially, we represented the future data into interval numbers and simplified the object function to a linear programming problem to search the feasible and preliminary solutions to construct the Pareto set. Then the simulated annealing method was used to search the optimal solution of initial model. Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision.

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Sutradhar, Suman, Nalin B. Dev Choudhury, and Nidul Sinha. "Modelling of Hydrothermal Unit Commitment Coordination Using Efficient Metaheuristic Algorithm: A Hybridized Approach." Journal of Optimization 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/4529836.

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In this paper, a novel approach of hybridization of two efficient metaheuristic algorithms is proposed for energy system analysis and modelling based on a hydro and thermal based power system in both single and multiobjective environment. The scheduling of hydro and thermal power is modelled descriptively including the handling method of various practical nonlinear constraints. The main goal for the proposed modelling is to minimize the total production cost (which is highly nonlinear and nonconvex problem) and emission while satisfying involved hydro and thermal unit commitment limitations. The cascaded hydro reservoirs of hydro subsystem and intertemporal constraints regarding thermal units along with nonlinear nonconvex, mixed-integer mixed-binary objective function make the search space highly complex. To solve such a complicated system, a hybridization of Gray Wolf Optimization and Artificial Bee Colony algorithm, that is, h-ABC/GWO, is used for better exploration and exploitation in the multidimensional search space. Two different test systems are used for modelling and analysis. Experimental results demonstrate the superior performance of the proposed algorithm as compared to other recently reported ones in terms of convergence and better quality of solutions.

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Khalyasmaa, Alexandra, Stanislav Eroshenko, Sergey Mitrofanov, Anastasia Rusina, Anna Arestova, and Alena Sidorova. "Development of a simulation model of HPPs chain operation." E3S Web of Conferences 191 (2020): 02004. http://dx.doi.org/10.1051/e3sconf/202019102004.

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The paper presents a simulation model of a hydroelectric power plants chain. The model allows solving the problem of hydro power plants (HPPs) operation mode planning in a unified power system, taking into account the optimization of water resources. The optimal filling and decrease of storage was performed in MATLAB Simulink software. The hydraulic properties of the river flow between the stations and the corresponding time lags in the functioning of the down-river station are taken into account. The model allows continuously monitoring changes in water pressure at hydropower plants and, as a result, uses the family of flow characteristics for various water pressures. The issues of optimizing the participation of hydroelectric power stations in the regimes of large hydrothermal power systems were also raised.

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Journal articles on the topic 'Hydrothermal power system'

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