Relevant bibliographies by topics / Power operation and distribution

Academic literature on the topic 'Power operation and distribution'

Author: Grafiati
Published: 6 September 2023
Last updated: 7 September 2023

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Journal articles on the topic "Power operation and distribution"

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Yang, M., Y. Shi, and J. Zhang. "Efficient Operation Regions of Power Distribution Transformers." IEEE Transactions on Power Delivery 19, no. 4 (October 2004): 1713–17. http://dx.doi.org/10.1109/tpwrd.2003.822980.

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Silva, Fernando A. "Electric Power: Distribution Emergency Operation [Book News]." IEEE Industrial Electronics Magazine 13, no. 1 (March 2019): 60–61. http://dx.doi.org/10.1109/mie.2019.2893469.

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Dai, Zikuo, Yan Xu, Kejian Shi, Yang You, and Bingxin Li. "Reliability Relation Extraction Technology of Power Distribution Equipment Based on Machine Learning." Journal of Physics: Conference Series 2296, no. 1 (June 1, 2022): 012009. http://dx.doi.org/10.1088/1742-6596/2296/1/012009.

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Abstract As the key link of power transmission in the power distribution system, the distribution transformer is the core of the entire power distribution system and is responsible for the electrical connection between the medium voltage side and the low voltage side, and based on this to further ensure the stable operation of the power distribution system. Data types, sources, selection principles and data processing methods relate to the operating state of distribution transformers; then expound the meaning of operating state indicators, and build a distribution transformer operating state index model; finally, an improved weight method is used to determine the distribution transformers of the weight coefficient of the running status indicator. Therefore, it is appropriate to verify the membership function and membership matrix selected in this paper. It is suitable for the fuzzy comprehensive evaluation calculation of the reliability of distribution transformers, which verifies the accuracy of the reliability evaluation results. The maintenance strategy of distribution transformers based on reliability assessment can be optimized according to the operation status of the equipment so as to improve the operation reliability of distribution transformers and ensure the safe, reliable and economical operation of the equipment. The maintenance strategy of distribution transformers based on reliability assessment can be optimized according to the operation status of the equipment, which is to improve the operation reliability of distribution transformers and ensure the safe, reliable and economical operation of the equipment.
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Srećković, Nevena, Miran Rošer, and Gorazd Štumberger. "Utilization of Active Distribution Network Elements for Optimization of a Distribution Network Operation." Energies 14, no. 12 (June 12, 2021): 3494. http://dx.doi.org/10.3390/en14123494.

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Electricity Distributions Networks (DNs) are changing from a once passive to an active electric power system element. This change, driven by several European Commission Directives and Regulations in the energy sector prompts the proliferated integration of new network elements, which can actively participate in network operations if adequately utilized. This paper addresses the possibility of using these active DN elements for optimization of a time-discrete network operation in terms of minimization of power losses while ensuring other operational constraints (i.e., voltage profiles and line currents). The active elements considered within the proposed optimization procedure are distributed generation units, capable of reactive power provision; remotely controlled switches for changing the network configuration; and an on-load tap changer-equipped substation, supplying the network. The proposed procedure was tested on a model of an actual medium voltage DN. The results showed that simultaneous consideration of these active elements could reduce power losses at a considered point of operation while keeping the voltage profiles within the permitted interval. Furthermore, by performing a series of consecutive optimization procedures at a given time interval, an optimization of network operations for extended periods (e.g., days, months, or years) could also be achieved.
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Sun, Xiaoxin, Hailong Ye, Yan Li, Fenyu Huangfu, and Chenxu Zhao. "Optimal Operation Of Distribution Network With Photovoltaic." Journal of Physics: Conference Series 2186, no. 1 (February 1, 2022): 012001. http://dx.doi.org/10.1088/1742-6596/2186/1/012001.

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Abstract As a clean, renewable and abundant new energy, photovoltaic power generation has gradually gained people’s favor after wind power. Affected by weather, light intensity and temperature, the output of photovoltaic power generation has obvious fluctuation and uncertainty, which seriously threatens the safe and stable operation of power system. Therefore, it is of great practical significance to study the optimal operation of distribution network containing photovoltaic. In this paper, the short-term output characteristics of photovoltaic power generation are studied, and the short-term output model of photovoltaic power generation is established by using the probability distribution of “clear sky index”. On this basis, based on the power flow calculation principle of DistFlow, the operation optimization model of distribution network with photovoltaic power plants is established, and the stochastic characteristics of photovoltaic power generation are flexibly handled by the opportunity constraint method. Using this model, the influence of the stochastic characteristics of photovoltaic power generation on the day-ahead dispatching and reserve capacity of distribution network is calculated and analyzed.
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Krstić, Nikola, Dragan Tasić, and Dardan Klimenta. "Poboljšanje rada distributivne mreže u uslovima velikih opterećenja korišćenjem fotonaponskih i sistema za skladištenje energije." Energija, ekonomija, ekologija XXIV, no. 2 (2022): 19–27. http://dx.doi.org/10.46793/eee22-2.19k.

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This paper considers the improvement of distribution network operation in high load conditions using photovoltaic (PV) and energy storage systems (ESS). Optimal locations and powers of PV systems and ESS, considering the improvement of distribution network operation, are determined by metaheuristic optimization method of genetic algorithm (GA), where losses in distribution network and its voltage profile are used as quality indicators for distribution network operation. Two approaches are used to determine the optimal power of PV system during the day, depending on the ratio of injected power into the network by the PV system and its maximum available power at a given time. Cases with different load distributions in the distribution network are analyzed, as well as the cases with different number of connected PV systems and ESS. Based on the obtained results, in addition to determining the level of distribution network operation improvement, conclusions are given regarding the impact of load diagram on the number, location and size of PV systems and ESS.
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Rana, Md Masud, Akhlaqur Rahman, Moslem Uddin, Md Rasel Sarkar, SK A. Shezan, C. M. F. S. Reza, Md Fatin Ishraque, and Mohammad Belayet Hossain. "Efficient Energy Distribution for Smart Household Applications." Energies 15, no. 6 (March 13, 2022): 2100. http://dx.doi.org/10.3390/en15062100.

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Energy distribution technique is an essential obligation of an intelligent household system to assure optimal and economical operation. This paper considers a small-scale household system detached from the power grids consisting of some electrical components in day-to-day life. Optimal power distribution generated from a photovoltaic system is vital for ensuring economic and uninterrupted power flow. This paper presents an optimal energy distribution technique for a small-scale smart household system to ensure uninterrupted and economical operation. A photovoltaic (PV) system is considered as the primary generation system, and a battery energy storage system (BESS) is viewed as a backup power supply source. The actual load and PV generation data are used to validate the proposed technique collected from the test household system. Two different load profiles and photovoltaic power generation scenarios, namely summer and winter scenarios, are considered for case studies in this research. An actual test household system is designed in MATLAB/Simulink software for analyzing the proposed technique. The result reveals the effectiveness of the proposed technique, which can distribute the generated power and utilize the BESS unit to ensure the optimal operation. An economic analysis is conducted for the household system to determine the economic feasibility. The capital investment of the system can be returned within around 5.67 years, and the net profit of the system is 2.53 times more than the total capital investment of the system. The proposed technique can ensure economical operation, reducing the overall operating cost and ensuring an environment-friendly power system. The developed strategy can be implemented in a small-scale detached interconnected smart household system for practical operation to distribute the generated energy optimally and economically.
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Wang, Chen, Fu Yang, Xiuqiang Chen, Houming Song, and Zhihua Li. "Multi-object optimal configuration of energy storage-photovoltaic capacity in AC/DC active distribution network." Journal of Physics: Conference Series 2260, no. 1 (April 1, 2022): 012041. http://dx.doi.org/10.1088/1742-6596/2260/1/012041.

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Abstract The AC/DC active distribution network is considered as an efficient way to achieve intelligent use of electricity. However, the economical configuration of distributed generation is critical for system economic operation. In the power distribution network, the economic operation mode of the photovoltaic power generation, storage battery and load are established firstly. Considering the cost of equipment installation, replacement, operation and maintenance, power purchase cost, and power sales profit, the use life of battery and security constraint, a multi-object economics evaluation function is then established. By optimizing the install capacity of distributed power generation, the operating economy of the distribution network is significantly improved. Finally, using the operating data of the partner-type intelligent power generation system in Lianyungang, the total cost of the operating state is calculated to determine the optimal capacity allocation scheme of the system, and the effectiveness of the proposed capacity allocation method is verified.
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Chukwu, Uwakwe Christian, and Satish M. Mahajan. "Impact Assessment of V2G on the Power Loss of Unbalanced Radial Distribution Network." International Journal of Emerging Electric Power Systems 14, no. 5 (August 6, 2013): 401–10. http://dx.doi.org/10.1515/ijeeps-2012-0012.

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Abstract Electric distribution feeders are inherently unbalanced and therefore have potential for severe power loss. The penetration of vehicle-to-grid (V2G) into the distribution feeders is expected to impact the power losses in the system. This is a pressing issue since power loss affects the operations, economics, and quality of service for the electric power systems. In this article, the impact of V2G parking lots on power losses of a radial distribution network is investigated. Two test networks were used in the study, namely: IEEE 13 and IEEE 123 Node test feeder networks. The test feeders and the V2G facilities were modeled in Radial Distribution Analysis Package (RDAP). Load flow results provided information on the power losses of the network. Results show that for a given penetration level, the impact of 3-phase and system-wide V2G integration on the power loss results in less power losses than 1-phase V2G integration. Results also indicate that operating the entire system such that V2G facilities will not compromise “near-balanced” state of operation and will have an improved impact on the power loss than highly unbalanced operation. The results obtained will be a useful tool for studying the impact of V2G on the power loss of a distribution network.
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Peng, Qingwen, Zhichang Yuan, Bin Ouyang, Peiqian Guo, and Lu Qu. "Research on the Optimal Operation Method of DC Microgrid Base on the New DC Power Distribution Management System." Electronics 9, no. 1 (December 20, 2019): 9. http://dx.doi.org/10.3390/electronics9010009.

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The grid-connected operation of the distributed generation (DG) via the direct current (DC) microgrid is the operation mode of the DC power distribution system in the future. Considering the grid-connected operation of multiple DC microgrids, we have proposed a new type of DC power distribution management system aiming at the lowest operating cost of the entire DC power distribution system. Our proposed DC power distribution management system can be used to carry out the optimized dispatching for the connected DC microgrids, thereby achieving the economic, safe, and stable operation of DC power distribution management systems. At the same time, through the different nodes where the modular multilevel converter (MMC) is connected to the alternating current (AC) distribution network, a DC power distribution management system can control the active and reactive power generated by the MMC, achieving the control of the load flow of the upper-stage AC grids in real time. The example simulation shows that the method proposed in this paper has a great role in reducing the transmission losses of the power distribution network, achieving electric power peak-load shifting, and utilizing renewable energy. Thus, it can not only maximize the use of distributed renewable resources, but also enable mutual support and optimal scheduling between a DC power distribution system and multiple microgrids.
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Dissertations / Theses on the topic "Power operation and distribution"

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Singh, Ravindra. "State estimation in power distribution network operation." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/5468.

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The majority of power distribution networks were planned, designed and built as a passive but reliable link between the bulk power transmission point and the in- dividual customer. Enough latent capacity in cables and lines to accommodate anticipated demand growth was allowed and so the system was left unmonitored. Following the signicant development in business regulation, technology evolutions and various government policies towards low carbon renewable generation, it has become necessary to operate the distribution systems efficiently and in a controlled manner. This obviously needs state estimation for network control functions. State estimation is the core function of any energy management system in transmission networks. However little emphasis have been given to the distribution system state estimation, mainly due to the absence of adequate network measurements and also lack of rigorous methodology and tools that could be applied on restricted measure- ments. The scarcity of measured information offers formidable challenge to the state estimator to provide reasonably meaningful estimates of the system states. This introduces bottlenecks in carrying out a range of substation and feeder automa- tion tasks that rely on the quality of the state estimator and opens up many issues like modelling of demand, identification of suitable estimator and placement of new measurements etc. This thesis attempts to address these issues. Thus, the objec- tives of this research are to model the demand as pseudo measurement, identify the state estimation methodology to suite the distribution scenarios and find the effec- tive locations for placing measurements for improving the quality of the estimated quantities. The thesis discusses in detail the criterion for identifying suitable solvers for the distribution system state estimation and stochastic optimisation methods to model the demand. It also discusses a probabilistic technique for identifying effective locations for measurement placement. The robustness of the state estimation algorithm against changes in network topology has been addressed in a statistical framework. All the concepts have been demonstrated on 12-bus radial and 95-bus UKGDS network models.
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Singh, Manish K. "Optimal Operation of Water and Power Distribution Networks." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/86860.

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Under the envisioned smart city paradigm, there is an increasing demand for the coordinated operation of our infrastructure networks. In this context, this thesis puts forth a comprehensive toolbox for the optimization of electric power and water distribution networks. On the analytical front, the toolbox consists of novel mixed-integer (non)-linear program (MINLP) formulations; convex relaxations with optimality guarantees; and the powerful technique of McCormick linearization. On the application side, the developed tools support the operation of each of the infrastructure networks independently, but also towards their joint operation. Starting with water distribution networks, the main difficulty in solving any (optimal-) water flow problem stems from a piecewise quadratic pressure drop law. To efficiently handle these constraints, we have first formulated a novel MINLP, and then proposed a relaxation of the pressure drop constraints to yield a mixed-integer second-order cone program. Further, a novel penalty term is appended to the cost that guarantees optimality and exactness under pre-defined network conditions. This contribution can be used to solve the WF problem; the OWF task of minimizing the pumping cost satisfying operational constraints; and the task of scheduling the operation of tanks to maximize the water service time in an area experiencing electric power outage. Regarding electric power systems, a novel MILP formulation for distribution restoration using binary indicator vectors on graph properties alongside exact McCormick linearization is proposed. This can be used to minimize the restoration time of an electric system under critical operational constraints, and to enable a coordinated response with the water utilities during outages.
Master of Science
The advent of smart cities has promoted research towards interdependent operation of utilities such as water and power systems. While power system analysis is significantly developed due to decades of focused research, water networks have been relying on relatively less sophisticated tools. In this context, this thesis develops Advanced efficient computational tools for the analysis and optimization for water distribution networks. Given the consumer demands, an optimal water flow (OWF) problem for minimizing the pump operation cost is formulated. Developing a rigorous analytical framework, the proposed formulation provides significant computational improvements without compromising on the accuracy. Explicit network conditions are provided that guarantee the optimality and feasibility of the obtained OWF solution. The developed formulation is next used to solve two practical problems: the water flow problem, that solves the complex physical equations yielding nodal pressures and pipeline flows given the demands/injections; and an OWF problem that finds the best operational strategy for water utilities during power outages. The latter helps the water utility to maximize their service time during power outages, and helps power utilities better plan their restoration strategy. While the increased instrumentation and automation has enabled power utilities to better manage restoration during outages, finding an optimal strategy remains a difficult problem. The operational and coordination requirements for the upcoming distributed resources and microgrids further complicate the problem. This thesis develops a computationally fast and reasonably accurate power distribution restoration scheme enabling optimal coordination of different generators with optimal islanding. Numerical tests are conducted on benchmark water and power networks to corroborate the claims of the developed formulations.
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Waseem, Irfan. "Impacts of Distributed Generation on the Residential Distribution Network Operation." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/36394.

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In this research, the impacts of installing DG on a residential distribution circuit are explored. The work is focused on analyzing the impact of DG installation on distribution network operation including voltage analysis, electric losses and reliability of the system. First, various DG penetration levels and the impact of distributing the DG across several locations are explored. Secondly, the impacts of installing DG on any one phase on the voltage profiles of the unbalanced three-phase distribution network are investigated. Thirdly, the losses of the system are analyzed. Next, the reliability analysis (SAIDI, CAIDI, ENS, and AENS) of the system is performed by installing DGs as backup generators. Different DG penetration levels, locations and the impacts of installing one large-scale DG on the main distribution line vs. several small-scale randomly distributed DGs are explored. A residential distribution circuit in Blacksburg, VA was built using its one-line diagram in DEW (Distributed Engineering Workstation) to perform detailed analysis. The research involves several case studies that explore the impacts of installing distributed generation (DG) on residential distribution network operation including the voltage profile, losses, and reliability indices of the system.
Master of Science
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Olivella, Rosell Pol. "Local electricity markets design and operation in distribution power systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669803.

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In the context of distributed generation growth, local grids could face operational issues. In that sense, smart grid deployment will give information to local grid operators about grid status at medium and low voltage levels for taking operational decisions on daily­ basis. This thesis presents local markets as a potential solution to avoid local grid congestions and over-costs. They mainly increase the negotiation power of end-users with distributed energy resources and allow activation of flexibility at local level. First of all, this thesis analyses electric vehicles as a potential challenge for distribution grids and electricity markets in case of uncontrolled charging as it could cause consumption peaks. At the same time, electric vehicles could be part of the solution thanks to their capability of shifting forward their consumption. The first solution presented in this thesis is a building level electric vehicle management algorithm in order to reduce energy cost and consumption peaks. However, local grid operators need a solution to deal with aggregated level problems like high demand or high generation periods. Such kind of problems vary over time and place, and they could be difficult to integrate in regular grid tariffs. Therefore, the present thesis provides two local market designs for these problems. The first local market presented is designed for taking advantage of renewable energy producers before and after the whole-sale day-ahead market without threatening distribution grids and increasing the local social welfare. However, this market implies significant regulatory changes because the local market operator should take sorne of the current local grid operator regulated activities. Therefore, this thesis presents a second market design for managing portfolios of consumers, producers and prosumers, and it could be operated by retailers, balance responsible parties or aggregators for flexibility provision without regulatory issues. The work includes a description of roles, contracts and interactions of such local flexibility market, and three optimization algorithms depending on the application, complexity and portfolio scale. The first algorithm assumes limited information about each site, the second one includes such information but presents potential scalability limitations, and the last algorithm is based on a decomposition method to optimise the aggregator portfolio in a distributed way reducing the computational burden and time.
En el context d'expansió de generadors d'electricitat renovable i distribuïda, les xarxes de distribució podrien presentar problemes d'operació. A més a més, en un context de desplegament de la xarxa elèctrica intel·ligent, les companyies distribuïdores tindran un millor coneixement de l'estat de la xarxa per prendre decisions d'operació en el dia a dia tant a nivell de mitja com en baixa tensió. Els mercats locals constitueixen una possible solució per a la resolució de congestions a les xarxes de distribució d'electricitat i reduir els sobre costos del sistema elèctric. Aquests mercats també permetrien incrementar el poder de negociació dels consumidors d'electricitat a petita escala amb capacitat de flexibilitat. Primerament s'analitza el potencial perill que poden suposar els vehicles elèctrics per a les xarxes de distribució en cas de no haver-hi gestió intel·ligent dels processos de carrega ja que podrien aparèixer nous pics de consum. Alhora, els vehicles elèctrics podrien ser part de la solució desplaçant el seu consum a la nit. El present treball inclou un algorisme de gestió de vehicles elèctrics a nivell d'edifici per a reduir el cost d'electricitat i els pics de consum. No obstant, les companyies distribuïdores necessiten una solució per als problemes de la xarxa que podrien ser diferents segons la zona o l'època de l'any. Es per això que aquest treball inclou dues propostes de mercat local per a aquests problemes. El primer mercat local esta dissenyat per a aprofitar l'avantatge dels productors d'energia renovable abans i després del mercat diari majorista sense comprometre l'operació de la xarxa de distribució. Tot i aixó, aquesta proposta de mercat local requeriria diversos canvis en matèria de regulació ja que l'operador del mercat local hauria de prendre algunes de les actuals responsabilitats de les companyies distribuïdores. Seguidament, la tesi presenta un segon mercat local per gestionar una cartera de consumidors, productors i prosumidors, com una activitat més dins de les activitats de les companyies comercialitzadores o agregadors de flexibilitat. El present document inclou una descripció dels rols, contractes i interaccions, i tres algorismes d'optimització des del més simple fins al més complex. El primer assumeix una limitació en la informació disponible de cada membre de la cartera, el segon inclou més informació però presenta limitacions d'escalabilitat, i finalment el tercer presenta un algorisme de descomposició per optimitzar la flexibilitat de manera distribuïda i així reduir el temps de computació i la complexitat de càlcul.
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Pregelj, Aleksandar. "Impact of Distributed Generation on Power Network Operation." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5127.

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Tools and algorithms are proposed that are useful for planning, designing, and operating a distribution network with a significant penetration of distributed generation (DG). In Task 1, a PV system simulation program is developed, which incorporates the most rigorous models for the calculation of insolation, module temperature, and DC and AC power output of a PV system. The effect of random inverter failures is incorporated in the model of a PV system, and a novel performance-derating coefficient is introduced. Furthermore, a novel inverter control algorithm is presented for systems with multiple inverters. The algorithm is designed to increase overall DC/AC conversion efficiency by selectively shutting down some of the inverters during periods of low insolation, thus forcing the remaining inverters to operate at higher efficiency. In Task 2, a procedure is developed to incorporate the uncertainties imposed by stochastic, renewable DG into the conventional tools for analysis of distribution systems. A clustering algorithm is proposed to reduce large input data sets that result from the interaction of stochastic processes that drive DG output with field measurements of feeder load profiles. In addition, a procedure is proposed to determine the boundary points of the original data set, which yield feeder extreme operating conditions. Finally, a Monte Carlo analysis using a reduced data set is presented, to determine the effects of deploying a large number of renewable DG systems on a distribution feeder. In Task 3, the reliability model of an asymmetric, three--phase, non-radial distribution feeder equipped with capacity-constrained DGs is developed and used to quantify the potential reliability improvements due to the intentional islanded operation of parts of the feeder. A procedure for finding optimal positions for DG and protection devices is presented using a custom-tailored adaptive genetic algorithm.
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Zubo, Rana H. A. "Distribution Network Operation with High Penetration of Renewable Energy Sources. Joint Active/Reactive Power Procurement: A Market-Based Approach for Operation of Distribution Network." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/18267.

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Distributed generators (DGs) are proposed as a possible solution to supply economic and reliable electricity to customers. It is adapted to overcome the challenges that are characterized by centralized generation such as transmission and distribution losses, high cost of fossil fuels and environmental damage. This work presents the basic principles of integrating renewable DGs in low voltage distribution networks and particularly focuses on the operation of DG installations and their impacts on active and reactive power. In this thesis, a novel technique that applies the stochastic approach for the operation of distribution networks with considering active network management (ANM) schemes and demand response (DR) within a joint active and reactive distribution market environment is proposed. The projected model is maximized based on social welfare (SW) using market-based joint active and reactive optimal power flow (OPF). The intermittent behaviour of renewable sources (such as solar irradiance and wind speed) and the load demands are modelled through Scenario-Tree technique. The distributed network frame is recast using mixed-integer linear programming (MILP) that is solved by using the GAMS software and then the obtained results are being analysed and discussed. In addition, the impact of wind and solar power penetration on the active and reactive distribution locational prices (D-LMPs) within the distribution market environment is explored in terms of the maximization of SW considering the uncertainty related to solar irradiance, wind speed and load demands. Finally, a realistic case study (16-bus UK generic medium voltage distribution system) is used to demonstrate the effectiveness of the proposed method. Results show that ANM schemes and DR integration lead to an increase in the social welfare and total dispatched active and reactive power and consequently decrease in active and reactive D-LMPs.
Ministry of Higher Education and Scientific Research - Iraq
The selected author's publications, the published versions of which were attached at the end of the thesis, have been removed due to copyright.
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Tong, Shiqiong Miu Karen Nan. "Slack bus modeling for distributed generation and its impacts on distribution system analysis, operation and planning /." Philadelphia, Pa. : Drexel University, 2006. http://hdl.handle.net/1860/1229.

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Agalgaonkar, Yashodhan Prakash. "Control and operation of power distribution system for optimal accommodation of PV generation." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24954.

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The renewable policies in various countries are driving significant growth of grid connected renewable generation sources such as the Photovoltaics (PVs). Typically a PV generation is integrated into power systems at the low and the medium voltage distribution level. The uptake of an intermittent power from the PVs is challenging the power system operation and control. The network voltage control is one of the major challenges during the operation of the distribution connected PVs. The active power injection from a PV plant causes variable voltage rise. This forces the existing voltage control devices such as on-load tap-changer (OLTC) and voltage regulator (VR) to operate continuously. The consequence is the reduction of the operating life of the voltage control mechanism. Also, the conventional non-coordinated reactive power control results in the operation of the VR at its control limit (VR runaway condition). This research focuses on the distribution voltage control in the presence of PV generation and helps to establish detailed insights into the various associated challenges. Firstly, the typical grid integrated PV topologies are discussed. The existing power system operational practices are presented and their limitations are identified. A voltage control methodology to tackle challenges such as over-voltage, excessive tap counts and VR runaway is presented. These challenges are alleviated through the coordinated reactive power control. The reactive power coordination is achieved through the deterministic distribution optimal power flow solved through the interior point technique. The irradiance and the load forecasting errors are another set of challenges from the distribution network operators' perspective. The stochastic optimal voltage control strategy is proposed to tackle the element of randomness associated with the forecast errors. The stochastic operational risks such as an over- voltage and a VR runaway are defined through a chance constrained optimization problem. The simulation study is performed using a realistic 95-bus UK generic distribution network model and a practically measured irradiance to demonstrate the effectiveness of the proposed control strategies. The thesis makes an effort to offer an insight into the operational challenges and propose strategies to achieve a seamless integration of the PVs into the power systems.
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Jones, Gavin Wesley. "Distribution system operation and planning in the presence of distributed generation technology." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.umr.edu/thesis/pdf/Jones_09007dcc803b193d.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 2007.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed November 16, 2007) Includes bibliographical references (p. 71-74).
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Feng, Yixue. "DC fault ride through operation of a full-bridge MMC converter." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/32426/.

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In recent years the growth of renewable energy has encouraged the development of HVDC grids. One challenge of building HVDC grids is the power converter response to DC side faults. The full-bridge Modular Multilevel Converter (MMC) is a desired power converter topology which is used in HVDC grids due to its scalability, modularity and capability of blocking DC side faults. Post fault operation of the full-bridge MMC requires the control of power flow, the energy of each sub-module capacitor and the elimination of circulating harmonic current to reduce power loss while DC line-to-ground or DC line-to-line faults exist. This thesis presents a post fault operation method for a full-bridge MMC in order to transmit partial power after a DC line-to-ground fault and provides reactive power after DC line-to-line fault. Simulated results are provide from a point-to-point HVDC system which consists of two eleven-level full-bridge MMC.
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Books on the topic "Power operation and distribution"

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Bernardon, Daniel Pinheiro, and Vinícius Jacques Garcia, eds. Smart Operation for Power Distribution Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3.

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Power markets & economics: Structure, costs, operation. Chichester, West Sussex, United Kingdom: Wiley, 2009.

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Li, Tianyou, Qiujin Lin, and Genghuang Chen. Live-Line Operation and Maintenance of Power Distribution Networks. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2017. http://dx.doi.org/10.1002/9781119055549.

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Handschin, Edmund. Energy management systems: Operation and control of electric energy transmission systems. Berlin: Springer-Verlag, 1991.

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International Conference on Advances in Power System Control, Operation & Management (1993 Hong Kong). 2nd International Conference on Advances in Power System Control, Operation & Management. Hong Kong: IEE Hong Kong Centre, 1994.

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International Conference on Advances in Power System Control, Operation & Management (4th 1995 Hong Kong, China). Fourth International Conference on Advances in Power System Control, Operation & Management, 11-13 November 1997. Wanchai, Hong Kong: IEE Hong Kong Centre, 1997.

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Institution of Electrical Engineers. Hong Kong Centre, ed. Advances in power system control, operation & management: Fifth International Conference on Advances in Power System Control, Operation & Management : 30 Oct.- 1 Nov., 2000, Sheraton Hong Kong Hotel. Hong Kong: IEE Hong Kong, 2000.

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International Conference on Advances in Power System Control, Operation & Management (4th 1997 Hong Kong). Advances in power system control, operation & management: Fourth International Conference on Advances in Power System Control, Operation & Management : 11-13 November, 1997, Hong Kong Convention and Exhibition Centre. Hong Kong: IEE Hong Kong, 1997.

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Peter, Taylor. White diamonds north: 25 years' operation of the Cook Strait cable, 1965-1990. Wellington: Trans Power, 1990.

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National, Seminar Grid Operation and Management (2002 Madras India). National Seminar, Grid Operation and Management, 29-30 October, 2002, Chennai: Proceedings. New Delhi: Central Board of Irrigation and Power, 2002.

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Book chapters on the topic "Power operation and distribution"

1

Braghirolli, L. F., Vinícius Jacques Garcia, and J. S. Fonini. "Operations Planning." In Smart Operation for Power Distribution Systems, 117–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3_6.

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Pfitscher, L. L., A. R. Abaide, Daniel Pinheiro Bernardon, and Vinícius Jacques Garcia. "Introduction to Smart Operation Centers." In Smart Operation for Power Distribution Systems, 1–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3_1.

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Ramos, M. J. S., M. Resener, P. H. E. Oliveira, and Daniel Pinheiro Bernardon. "Self-Healing in Power Distribution Systems." In Smart Operation for Power Distribution Systems, 37–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3_3.

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Popov, Vladimir, Vadim Tkachenko, Olena Yarmoliuk, and Dmytro Yatsenko. "Actual Trends of Electrical Distribution Systems Automation." In Power Systems Research and Operation, 319–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17554-1_14.

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Schmitz, M., C. H. Barriquello, and Vinícius Jacques Garcia. "The Dispatch Problems in Power Distribution Systems." In Smart Operation for Power Distribution Systems, 133–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3_7.

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Milbradt, R. G., and L. N. Canha. "State Estimation." In Smart Operation for Power Distribution Systems, 15–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3_2.

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Mello, A. P. C., G. S. da Silva, L. N. Canha, and Daniel Pinheiro Bernardon. "Volt/Var Control." In Smart Operation for Power Distribution Systems, 71–92. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3_4.

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Boaski, M. A. F., M. Sperandio, Daniel Pinheiro Bernardon, and W. S. Hokama. "Protection Systems." In Smart Operation for Power Distribution Systems, 93–116. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93922-3_5.

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Ahmadi, Seyed Ehsan, and Navid Rezaei. "Distribution Network Emergency Operation in the Light of Flexibility." In Flexibility in Electric Power Distribution Networks, 147–74. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003122326-7.

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Raja, J., P. Ajay-D-Vimal Raj, and S. Rajasekar. "Best Practices in Operation and Maintenance of Subtransmission and Distribution Lines." In Power Systems, 63–75. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-2972-1_3.

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Conference papers on the topic "Power operation and distribution"

1

Solvik, N. A. "Concept for optimised operation of distribution networks." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970580.

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Bresesti, Paola, and Alberto Cerretti. "SDNO: Smart Distribution Network Operation Project." In 2007 IEEE Power Engineering Society General Meeting. IEEE, 2007. http://dx.doi.org/10.1109/pes.2007.386103.

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Lee, J. W., S. W. Park, and S. W. Son. "Charging station operator-cooperation-based distribution network operation methodology using regional distribution stability index." In CIRED Porto Workshop 2022: E-mobility and power distribution systems. Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.0894.

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Jiyuan Fan, Hua Fan, P. Backscheider, and J. D. McDonald. "Coordinated optimization in distribution operation." In 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6345092.

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Yibin Sun, Taotao Ma, Bingfei Huang, Wei Xu, Bin Yu, and Yingwei Zhu. "Risk assessment of power system secondary devices for power grid operation." In 2012 China International Conference on Electricity Distribution (CICED). IEEE, 2012. http://dx.doi.org/10.1109/ciced.2012.6508499.

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Ramirez, J. M., J. V. Marin, and R. E. C. Gutierrez. "A tendency in large power systems operation." In 2012 IEEE/PES Transmission & Distribution Conference & Exposition: Latin America. IEEE, 2012. http://dx.doi.org/10.1109/tdc-la.2012.6319057.

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Drholec, Jiri, and Radomir Gono. "Operation of industrial local distribution system." In 2015 16th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2015. http://dx.doi.org/10.1109/epe.2015.7161112.

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Mohammadian, Mostafa, Omidreza Mashhadi, Pouria Ahmadi, and Seyed Hossein Hosseinian. "Optimal Operation of Microgrid with freshwater, thermal and electric demand." In 2021 25th Electrical Power Distribution Conference (EPDC). IEEE, 2021. http://dx.doi.org/10.1109/epdc53015.2021.9610748.

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Nyende-Byakika, Stephen, and Julius M. Ndambuki. "Decision Support System for Operation of Malfunctioning Water Distribution." In Power and Energy Systems. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.762-003.

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Liuli, Zhaoyi, Yepeng, Wanggang, and Luxiaoxu. "Influence on power quality by wind turbine's isolating operation." In 2014 China International Conference on Electricity Distribution (CICED). IEEE, 2014. http://dx.doi.org/10.1109/ciced.2014.6991898.

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Reports on the topic "Power operation and distribution"

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Little, Charles, and David Biedenharn. Technical assessment of the Old, Mississippi, Atchafalaya, and Red (OMAR) Rivers : channel geometry analysis. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/45147.

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Abstract:
The Old River Control Complex (ORCC) consists of the Low Sill, Auxiliary, and Overbank structures as features of the Old River Control Structure (ORCS) and the privately owned hydro-electric power plant. Operations of the ORCC manage the hydrologic connectivity between the Mississippi River and the Atchafalaya River/Red River systems. The morphology of the Old, the Mississippi, the Atchafalaya, and the Red Rivers (OMAR) has been influenced by the flow distribution at the ORCC, as well as the accompanying bed sediments. A geomorphic assessment of the OMAR is underway to understand the morphological changes associated with operation of the ORCC. Supporting the geomorphic assessment, a channel geometry analysis herein documents observed adjustments of the affected river channels. Historical hydrographic survey data were used in the Geographic Information System to create river channel geometric models, which inform the analysis. Geometric parameters for cross sections and volume polygons were computed for each survey and evaluated for morphological trends which may be ascribed to the influence of the ORCC. Additionally, the geometric parameters for the Atchafalaya River were used to extend the geometry analyses from the 1951 Mississippi River Commission report on the Atchafalaya River, which was the primary catalyst for the initial development of the ORCS.
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Skone, Timothy J. Nuclear Power, Generation II Reactor Operation. Office of Scientific and Technical Information (OSTI), November 2010. http://dx.doi.org/10.2172/1509421.

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Skone, Timothy J. Nuclear Power, Generation III Reactor Operation. Office of Scientific and Technical Information (OSTI), November 2010. http://dx.doi.org/10.2172/1509422.

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Vold, E. L., T. K. Mau, and R. W. Conn. Tokamak power reactor ignition and time dependent fractional power operation. Office of Scientific and Technical Information (OSTI), June 1986. http://dx.doi.org/10.2172/5793381.

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Deka, Deepjyoti, Michael Chertkov, and Scott N. Backhaus. Structure Learning in Power Distribution Networks. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1167238.

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Ivanov, V. SIMULATING ACCELERATOR STRUCTURE OPERATION AT HIGH POWER. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/833068.

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Skone, Timothy J. Operation of Existing Pulverized Coal Power Plant. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1509432.

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Skone, Timothy J. Operation of NETL Baseline NGCC Power Plant. Office of Scientific and Technical Information (OSTI), March 2014. http://dx.doi.org/10.2172/1509433.

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Skone, Timothy J. Operation of NETL Baseline SCPC Power Plant. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1509434.

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Bernstein, Robert. Efficient Utility Equipment: Power Distribution Systems and Power Conditioning Equipment. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada585154.

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