Relevant bibliographies by topics / IEEE-14 POWER SYSTEM

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'IEEE-14 POWER SYSTEM'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "IEEE-14 POWER SYSTEM"

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Gongada, Sandhya Rani, Muktevi Chakravarthy, and Bhukya Mangu. "Power system contingency classification using machine learning technique." Bulletin of Electrical Engineering and Informatics 11, no. 6 (December 1, 2022): 3091–98. http://dx.doi.org/10.11591/eei.v11i6.4031.

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One of the most effective ways for estimating the impact and severity of line failures on the static security of the power system is contingency analysis. The contingency categorization approach uses the overall performance index to measure the system's severity (OPI). The newton raphson (NR) load flow technique is used to extract network variables in a contingency situation for each transmission line failure. Static security is categorised into five categories in this paper: secure (S), critically secure (CS), insecure (IS), highly insecure (HIS), and most insecure (MIS). The K closest neighbor machine learning strategy is presented to categorize these patterns. The proposed machine learning classifiers are trained on the IEEE 30 bus system before being evaluated on the IEEE 14, IEEE 57, and IEEE 118 bus systems. The suggested k-nearest neighbor (KNN) classifier increases the accuracy of power system security assessments categorization. A fuzzy logic approach was also investigated and implemented for the IEEE 14 bus test system to forecast the aforementioned five classifications.
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Hiwarkar, Dr Chandrashekhar S., Abhay M. Halmare, Anurag A. Belsare, Nitin B. Mohriya, and Roshan Milmile. "Load Flow Analysis on IEEE 14 Bus System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1572–74. http://dx.doi.org/10.22214/ijraset.2022.41590.

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Abstract: This article presents a load flow analysis of an IEEE14 BUS system using the Newton-Raphson method, which simplifies the analysis of load balancing problems. The software used for the programming platform is MATLAB. This paper gives an overview of the electrical performance and power flows (real and reactive) under a steady state. There are various methods for load flow computations. The gauss-seidel method is more popular in smaller systems because of less computational time. In the case of larger systems computation time increases in this condition, the Newton-Raphson method is preferred. This project aims to develop a MATLAB program to calculate voltages and active and reactive power at each bus for IEEE 14 bus systems. The MATLAB program is executed with the input data and results are compared. Keywords: load flow studies, Newton-Raphson method, IEEE 14 bus system.
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Mandava, Srihari, Vanishree J, and Ramesh V. "A Spanning Tree Approach in Placing Multi-channel and Minimum Channel PMU’s for Power System Observability." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 3 (June 1, 2015): 518. http://dx.doi.org/10.11591/ijece.v5i3.pp518-524.

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Synchronized phasor measurements have become the measurement technique of choice for electric power systems. They provide positive sequence voltage and current measurements synchronized to within a microsecond. The objective is to use the spanning tree approach and tree search technique for optimal placement of multichannel and minimum channel synchronized phasor measurement units (PMUs) in order to have full observability of Power System. The novel concept of depth of observability is used and its impact on the number of PMU placements is explained. The spanning tree approach is used for the power system graphs and a tree search technique is used for finding the optimal location of PMUs. This is tested on IEEE-14 and IEEE-30 bus system. The same technique is modified to optimally place minimum channel PMUs on the same IEEE-14 and IEEE-30 bus systems. Matlab tool has been used for fulfilling the objective.
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Chakravorty, J., and J. Saraswat. "Deciding Optimal Location of DPFC in Transmission Line Using Artificial Algae Algorithm." Engineering, Technology & Applied Science Research 9, no. 2 (April 10, 2019): 3978–80. http://dx.doi.org/10.48084/etasr.2667.

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In this paper, the application of artificial algae algorithm (AAA) in optimal placement distributed power flow controller (DPFC) with MCFC in transmission networks has been proposed The proposed method is tested on IEEE 14- bus system and the results are discussed. The biggest advantage of DPFC is that it can control the active and reactive power flow and bus voltages, simultaneously. In this paper, the optimal placement of one DPFC in IEEE-14 bus system and then optimal placement of two DPFCs in IEEE-14 bus system has been proposed. Optimal placement of DPFC in power system by AAA leads to increased stability and capacity of the power transmission in lines. The proposed model has been simulated in Matlab/Simulink and the performance results are tabulated.
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Anuar, Aminudin, M. A. A. Wahab, S. N. M. Arshad, M. I. F. Romli, A. H. A. Bakar, and M. A. A. Bakar. "Transient stability for IEEE 14 bus power system using power world simulator." Journal of Physics: Conference Series 1432 (January 2020): 012009. http://dx.doi.org/10.1088/1742-6596/1432/1/012009.

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Dhana Sai Sri, M., and P. Srinivasa Varma. "Evaluation and Analysis of Available Transfer Capability in Deregulated Power System Environment." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 188. http://dx.doi.org/10.14419/ijet.v7i1.8.16399.

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Reliability of network is need of the hour in the present power system market and is constrained by capability of the network. The network calculations are performed using accurate and high efficient strategies. In order to perform power transactions in the system, the computation of available transfer capability is essential which a metric of capability of the system. Generally, effect wattless power is not taken into account in the methodologies for computation of linear available transfer capability. In this paper, a methodology which considers the reactive power flows for enhancement of linear ATC is presented. In order to perform analysis theoretically, a standard IEEE 3 bus system is considered. Another case study i.e., 14 bus system available in IEEE test systems is used for simulation analysis. FACTS technology is incorporated in the existing system in order to enhance capability of the network. To facilitate transfer maximum power in the system, an optimal power-flow-based ATC enhancement model is formulated and presented along with simulation results. Studies based on the IEEE 3-bus system and 14-bus systems with TCSC demonstrate the effectiveness of FACTS control on ATC enhancement.
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Liu, Bin, Feng Liu, Bingxu Zhai, and Haibo Lan. "Investigating continuous power flow solutions of IEEE 14‐bus system." IEEJ Transactions on Electrical and Electronic Engineering 14, no. 1 (July 16, 2018): 157–59. http://dx.doi.org/10.1002/tee.22773.

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Araga, Idris A., and A. E. Airoboman. "Enhancement of voltage stability in an interconnected network using unified power flow controller." Journal of Advances in Science and Engineering 4, no. 1 (January 2, 2021): 65–74. http://dx.doi.org/10.37121/jase.v4i1.141.

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In this paper, the optimal placement of Unified Power Flow Controllers (UPFC) in a large-scale transmission network in order to improve the loadability margin was considered. In other to achieve this aim, the Line Stability Factor (LQP) as a technique for the optimal location of UPFC in the IEEE 14-bus network and 56-bus Nigerian national grid was adopted. The power injection model for the UPFC was employed to secure improvements in the loading margin of the IEEE 14-bus network and 56-bus Nigerian national grid system. Continuation power flow was used to assess the effect of UPFC on the loadability margin. Steady-state simulations using Power System Analysis Toolbox (PSAT) on MATLAB was applied to determine the effectiveness of placing UPFC between bus 13 and bus 14 in the IEEE 14-bus network and between bus 44 (Ikot-Ekpene) and bus 56 (Odukpani) in the 56-bus Nigerian national grid system. The results showed that the loadability margin increased by 8.52 % after UPFC was optimally placed in the IEEE 14-bus network and increased by 195.5 % after UPFC was optimally placed in the 56-bus Nigerian national grid system. Thus, these enhance the voltage stability of both network and utilizing the network efficiently.
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Chakravorty, J., and J. Saraswat. "Improving Power Flow Capacity of Transmission Lines Using DPFC with a PEM Fuel Cell." Engineering, Technology & Applied Science Research 9, no. 6 (December 1, 2019): 4883–85. http://dx.doi.org/10.48084/etasr.3155.

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The electrical power system is one complex architecture integrating generation, transmission, distribution, and utilization sections. The exponential increase in power requirements made this system more complex and dynamic. Providing good quality and uninterrupted power has become a challenge. In this respect, FACTS devices are playing a vital role in improving power quality and also in increasing the transmission capacity of lines. In this paper. Distributed Power Flow Controller (DPFC), with a PEM fuel cell, has been used in an IEEE-14 bus system to improve system power flow capacity. The proposed IEEE-14 bus with DPFC has been simulated in MATLAB/SIMULINK. The effects are exhibited and analyzed.
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Adegoke, Samson Ademola, Yanxia Sun, and Zenghui Wang. "Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization." Mathematics 11, no. 17 (August 24, 2023): 3660. http://dx.doi.org/10.3390/math11173660.

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Identifying the weak buses in power system networks is crucial for planning and operation since most generators operate close to their operating limits, resulting in generator failures. This work aims to identify the critical/weak node and reduce the system’s power loss. The line stability index (Lmn) and fast voltage stability index (FVSI) were used to identify the critical node and lines close to instability in the power system networks. Enhanced particle swarm optimization (EPSO) was chosen because of its ability to communicate with better individuals, making it more efficient to obtain a prominent solution. EPSO and other PSO variants minimized the system’s actual/real losses. Nodes 8 and 14 were identified as the critical nodes of the IEEE 9 and 14 bus systems, respectively. The power loss of the IEEE 9 bus system was reduced from 9.842 MW to 7.543 MW, and for the IEEE 14 bus system, the loss was reduced from 13.775 MW of the base case to 12.253 MW for EPSO. EPSO gives a better active power loss reduction and improves the node’s voltage profile than other PSO variants and algorithms in the literature. This suggests the feasibility and suitability of EPSO to improve the grid voltage quality.
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Dissertations / Theses on the topic "IEEE-14 POWER SYSTEM"

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Baral, Bishwas. "Directional Comparison Bus Protection Using Superimposed Partial Operating Current Characteristics." ScholarWorks@UNO, 2019. https://scholarworks.uno.edu/td/2584.

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Various directional comparison bus protection methods including widely used superimposed directional element method need to have both voltages and currents from all feeders connected to the zone of protection to find the direction of current for detecting a bus fault or a line fault. The purpose of the thesis is to present a new technique for directional comparison bus protection to discriminate a bus fault from line fault and normal condition. The new technique, which is implementing superimposed directional element method to modify partial operating current characteristics (POC) method to superimposed POC (SPOC) method, does not use voltages from feeders, hence capacitor voltage transformers (CVTs) are no longer needed in the zone of protection. The proposed technique was implemented in 4-bus and IEEE 14-bus test system and was tested using different fault cases including CT saturation and high impedance fault. The proposed technique, SPOC method was compared with POC method with both methods implemented in same test systems and tested with same fault cases. The results show that the proposed technique is successful to detect bus faults with high accuracy and high speed.
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Vijapurapu, Sivarama Karthik. "CONTINGENCY ANALYSIS OF POWER SYSTEMS IN PRESENCE OF GEOMAGNETICALLY INDUCED CURRENTS." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/32.

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Geomagnetically induced currents (GIC) are manifestations of space weather phenomena on the electric power grid. Although not a new phenomenon, they assume great importance in wake of the present, ever expanding power grids. This thesis discusses the cause of GICs, methodology of modeling them into the power system and the ramifications of their presence in the bulk power system. GIC is treated at a micro level considering its effects on the power system assets like Transformers and also at a macro level with respect to issues like Voltage instability. In illustration, several simulations are made on a transformer & the standard IEEE 14 bus system to reproduce the effect of a geomagnetic storm on a power grid. Various software tools like PowerWorld Simulator, SimPower Systems have been utilized in performing these simulations. Contingency analysis involving the weakest elements in the system has been performed to evaluate the impact of their loss on the system. Test results are laid out and discussed in detail to convey the consequences of a geomagnetic phenomenon on the power grid in a holistic manner.
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Munukuntla, Sowmya. "Sensitivity Analysis of Synchronous Generators for Real-Time Simulation." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2172.

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The purpose of this thesis is to validate generator models for dynamic studies of power systems using PSS/E (Power System Simulator for Engineering), EMTP (ElectroMagnetic Transient Program), and Hypersim. To thoroughly evaluate the behavior of a power system in the three specified software packages, it is necessary to have an accurate model for the power system, especially the generator which is of interest. The effect of generator modeling on system response under normal conditions and under faulted conditions is investigated in this work. A methodology based on sensitivity analysis of generator model parameters is proposed aiming to homogenize the behavior of the same power system that is modeled in three software packages. Standard IEEE 14-Bus system is used as a test case for this investigation. Necessary changes in the exciter parameters are made using the proposed methodology so that the system behaves identical across all three software platforms.
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Akeyo, Oluwaseun M. "ANALYSIS AND SIMULATION OF PHOTOVOLTAIC SYSTEMS INCORPORATING BATTERY ENERGY STORAGE." UKnowledge, 2017. http://uknowledge.uky.edu/ece_etds/107.

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Solar energy is an abundant renewable source, which is expected to play an increasing role in the grid's future infrastructure for distributed generation. The research described in the thesis focuses on the analysis of integrating multi-megawatt photovoltaics (PV) systems with battery energy storage into the existing grid and on the theory supporting the electrical operation of components and systems. The PV system is divided into several sections, each having its own DC-DC converter for maximum power point tracking and a two-level grid connected inverter with different control strategies. The functions of the battery are explored by connecting it to the system in order to prevent possible voltage fluctuations and as a buffer storage in order to eliminate the power mismatch between PV array generation and load demand. Computer models of the system are developed and implemented using the PSCADTM/EMTDCTM software.
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SINGH, OMPRAKASH. "IDENTIFICATION OF WEAK BUSES AND IMPROVING VOLTAGE PROFILE UNDER VARING LOAD CONDITIONS USING STATCOM IN IEEE-14 BUS POWER SYSTEM." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19409.

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The whole world faces energy shortages, power scenario in present. There is a deficit between energy demand and energy supplied. The per capita energy consumption indicates the living standard of the society of the country and also it shows the development of the country. Every country is trying to harness the energy obtained from natural resources and maximize it, due to the limited resources of the fossil fuels. The major issue in these problem is the voltage collapse of transmission system which is most suffered by the frequent variations load. In this project, we focus on the detection and identification of weakest busses under variation load. Voltage variation problem increase day-by-day with increasing load demand power. Therefore the efficiency and power quality of power is become poor for consumer service due to increasing load demand, voltage goes down. Thus the system stability or voltage profile is poor at various buses in an interconnected power system under varying load conditions (varying load 0 to 50% increasing). Hence the voltage magnitudes and angles also change which are responsible for voltage instability which have major result in blackout. For the continuation power flow voltage magnitude, angle, real and reactive power should be maintained so that voltage stability improved. Finding the weakest buses during increasing load by Newton-Raphson method with MATLAB programming and compare all results with original results with and without STATCOM in an interconnected in IEEE 14 bus power system. As the results the voltage at the buses goes below to specified voltage profile lower limit 0.98 p.u. during heavy load conditions or voltage may exceed voltage profile upper limit 1.0 p.u. during light load conditions, at there identified weakest buses allocation for the adjusted FACTS controllers to improve voltage profile limit (0.98 p.u or 1.0 p.u ) of IEEE-14 bus power system to maintained reactive power in IEEE-14 power system.
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Books on the topic "IEEE-14 POWER SYSTEM"

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IEEE Workshop on Computers in Power Electronics (5th 1996 Portland, Oregon). 1996 IEEE Workshop on Computers in Power Electronics: 5th IEEE Workshop on Computers in Power Electronics, Portland State University, August 11-14, 1996. [New York]: Institute of Electrical and Electronics Engineers, 1996.

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Singapore), International Conference on Probabilistic Methods Applied to Power Systems (11th 2010. 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2010): Singapore, 14-17 June 2010. Piscataway, NJ: IEEE, 2010.

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TENCON, (2006 Hong Kong China). TENCON 2006: 2006 IEEE Region 10 Conference : Hong Kong, China, 14-17 November 2006. Piscataway, NJ: IEEE, 2006.

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IEEE International Caracas Conference on Devices, Circuits and Systems (1st 1995 Caracas, Venezuela). Proceedings of 1995 First IEEE International Caracas Conference on Devices, Circuits, and Systems: Universidad Simón Bolívar, Caracas, Venezuela, December 12-14, 1995. Piscataway, N.J: Institute of Electrical and Electronics Engineers, 1995.

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Book chapters on the topic "IEEE-14 POWER SYSTEM"

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Bala, Indu, and Anupam Yadav. "Optimizing Reactive Power of IEEE-14 Bus System Using Artificial Electric Field Algorithm." In Third Congress on Intelligent Systems, 651–65. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9379-4_47.

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Bala, Indu, and Anupam Yadav. "Optimal Reactive Power Dispatch Using Gravitational Search Algorithm to Solve IEEE-14 Bus System." In Communication and Intelligent Systems, 463–73. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3325-9_36.

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Gómez, Juan David, Luis Felipe Gaitan, and Edwin Rivas Trujillo. "Particle Swarm Optimization Applied to the Economic Dispatch in a Power System with Distributed Generation, Study Case: IEEE 14 Nodes System." In Communications in Computer and Information Science, 212–22. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66963-2_20.

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Noskov, Robert, Krešimir Fekete, Ružica Kljajić, and Zvonimir Klaić. "Testing the Procedure for Optimization of Cascaded Hydropower Plants and Wind Power Plants Using the IEEE 14 Bus System." In 30th International Conference on Organization and Technology of Maintenance (OTO 2021), 131–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92851-3_10.

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Vo, Dieu Ngoc, and Peter Schegner. "An Improved Particle Swarm Optimization for Optimal Power Flow." In Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance, 1–40. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2086-5.ch001.

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This chapter proposes a newly improved particle swarm optimization (IPSO) method for solving optimal power flow (OPF) problem. The proposed IPSO is the particle swarm optimization with constriction factor and the particle’s velocity guided by a pseudo-gradient. The pseudo-gradient is to determine the direction for the particles so that they can quickly move to optimal solution. The proposed method has been tested on benchmark functions, the IEEE 14-bus, IEEE 30-bus, IEEE 57-bus, and IEEE-118 bus systems, in which the IEEE 30-bus system is tested with different objective functions including quadratic function, valve point effects, and multiple fuels. The test results have shown that the proposed method can efficiently obtain better total costs than the conventional PSO method. Therefore, the proposed IPSO could be a useful method for implementation in the OPF problem.
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Ray, Prakash K., B. K. Panigrahi, P. K. Rout, Asit Mohanty, and Harishchandra Dubey. "Fault detection in an IEEE 14-bus power system with DG penetration using wavelet transform." In Computer, Communication and Electrical Technology, 221–25. CRC Press, 2017. http://dx.doi.org/10.1201/9781315400624-43.

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Sarkar, Dipu, and Joyanta Kumar Roy. "Artificial Neural Network (ANN) in Network Reconfiguration for Improvement of Voltage Stability." In Advances in Computer and Electrical Engineering, 184–206. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9911-3.ch010.

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Issues related to power system voltage levels have become increasingly important issue during last two and half decades. In power networks, low voltage situations may result in the loss of stability, voltage collapse and eventually to cascading power outages. Large number of incidents of voltage collapse has been reported in different countries across the globe. A simple indicator that has the potential in real time, i.e. L indicator has been used to find voltage profile at different switching condition and simulated using ANN in network reconfiguration for the improvement of voltage stability. A method for improving voltage stability in a power network comprising of multiple lines and switches has been suggested in this chapter based on system reconfiguration approach. ANN based fast and efficient methodology has been developed to obtain the optimum switching combination to achieve best voltage stability. The proposed scheme has been tested on an IEEE 14-bus system.
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Sarkar, Dipu, and Joyanta Kumar Roy. "Artificial Neural Network (ANN) in Network Reconfiguration for Improvement of Voltage Stability." In Deep Learning and Neural Networks, 174–98. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch012.

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Issues related to power system voltage levels have become increasingly important issue during last two and half decades. In power networks, low voltage situations may result in the loss of stability, voltage collapse and eventually to cascading power outages. Large number of incidents of voltage collapse has been reported in different countries across the globe. A simple indicator that has the potential in real time, i.e. L indicator has been used to find voltage profile at different switching condition and simulated using ANN in network reconfiguration for the improvement of voltage stability. A method for improving voltage stability in a power network comprising of multiple lines and switches has been suggested in this chapter based on system reconfiguration approach. ANN based fast and efficient methodology has been developed to obtain the optimum switching combination to achieve best voltage stability. The proposed scheme has been tested on an IEEE 14-bus system.
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Bentarzi, Hamid. "PMU Placement Optimization for Fault Observation Using Different Techniques." In Advances in Computer and Electrical Engineering, 196–220. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4027-5.ch009.

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This chapter presents different techniques for obtaining the optimal number of the phasor measurement units (PMUs) that may be installed in a smart power grid to achieve full network observability under fault conditions. These optimization techniques such as binary teaching learning based optimization (BTLBO) technique, particle swarm optimization, the grey wolf optimizer (GWO), the moth-flame optimization (MFO), the cuckoo search (CS), and the wind-driven optimization (WDO) have been developed for the objective function and constraints alike. The IEEE 14-bus benchmark power system has been used for testing these optimization techniques by simulation. A comparative study of the obtained results of previous works in the literature has been conducted taking into count the simplicity of the model and the accuracy of characteristics.
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Made Wartana, I., and Ni Putu Agustini. "Optimal Integration of Series and Shunt FACTS with Wind Energy for Active Power Loss Reduction." In Renewable Energy - Recent Advances [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107296.

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The integration of wind energy (WE) with flexible AC transmission system (FACTS) devices into the grid to improve grid performance is one of the latest advances in renewable energy (RE) technology. This work proposes the optimal placement and size of a WE, a doubly-fed induction generator (DFIG) with two of FACTS controller, viz. thyristor-controlled series compensator (TCSC) static var compensator (SVC). The goal is to maximize system bus load (Max. LBS) and minimize active power loss (Min. Ploss) by satisfying various safety and stability constraints. Newton Raphson\'s power flow study involving TCSC, SVC, and DFIG is a bi-objective that meets multiple constraints: lines, generation, voltage limits, and small signal stability. A variant of the genetic algorithm, non-dominated sorting GA II (NSGA-II), was applied to solve the contradictory bi-objective optimization problem. A modified standard and practical test system, the IEEE 14-bus and the Indonesia Java Bali 24-bus, integrated with DFIG, TCSC, and SVC, were simulated to investigate the efficacy of the suggested technique. The simulation shows that the optimal placement and size of DFIG with both FACTS can improve system performance with all system loading conditions and meet all system constraints.
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Conference papers on the topic "IEEE-14 POWER SYSTEM"

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Salman, Diaa, Mehmet Kusaf, Yonis Khalif Elmi, and Ammar Almasri. "Optimal Power Systems Planning for IEEE-14 Bus Test System Application." In 2022 10th International Conference on Smart Grid (icSmartGrid). IEEE, 2022. http://dx.doi.org/10.1109/icsmartgrid55722.2022.9848574.

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Gaigowal, S. R., and M. M. Renge. "Voltage stability in IEEE-14 bus DSSC compensated system." In 2016 7th India International Conference on Power Electronics (IICPE). IEEE, 2016. http://dx.doi.org/10.1109/iicpe.2016.8079515.

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Mohsin, Md, Proshanto Paul, and Md Shahabuddin. "Active Power Observation through Stability Analysis in IEEE 14 Bus System." In International Conference on Emerging Trends in Engineering and Advanced Science. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.123.10.

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Active power flow through a transmission line is one of the main index for reliable operation of power system. During abnormal condition this power can be observed using stability analysis. In this paper, IEEE 14 bus system has been selected for this time domain simulation. A three phase fault has been considered as an abnormal condition for the power system. In addition, this work also observed the rotor angle of the synchronous generators of the system. Results of these observations would be helpful for an operator to take necessary steps for normal operation of a power system as well as planning to improve the system.
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Monemi, Sean, Travon Dent, and Antonio Nunez. "A Model of System Protection in IEEE 14-bus Power Grid." In 2022 IEEE International Conference in Power Engineering Application (ICPEA). IEEE, 2022. http://dx.doi.org/10.1109/icpea53519.2022.9744697.

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Iyambo, P. K., and R. Tzoneva. "Transient stability analysis of the IEEE 14-bus electric power system." In AFRICON 2007. IEEE, 2007. http://dx.doi.org/10.1109/afrcon.2007.4401510.

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Sah, Suraj Kumar, Rahul Kumar, Soma Biswas, Sonia Ghosh, Rajat Kumar Mandal, Birendra Krishna Ghosh, Mainak Biswas, and Debasis Maji. "Reactive Power Control of Modified IEEE 14 Bus System Using STATCOM." In 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2018. http://dx.doi.org/10.1109/iccons.2018.8663177.

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Jillepalli, Ananth A., Daniel Conte de Leon, Brian K. Johnson, Yacine Chakhchoukh, Ibukun A. Oyewumi, Mohammad Ashrafuzzaman, Frederick T. Sheldon, Jim Alves-Foss, and Michael A. Haney. "METICS: A Holistic Cyber Physical System Model for IEEE 14-bus Power System Security." In 2018 13th International Conference on Malicious and Unwanted Software (MALWARE). IEEE, 2018. http://dx.doi.org/10.1109/malware.2018.8659367.

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Gupta, Sunil, Sachit Garg, Vibhor Babbar, Sajal Saha, and Neha Nagarwal. "Modeling & Performance Investigation of PV Integrated IEEE 14 Bus Test System." In 2018 International Conference on Computing, Power and Communication Technologies (GUCON). IEEE, 2018. http://dx.doi.org/10.1109/gucon.2018.8674923.

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Noor, Mashama, Shariq Shaikh, Muhammad Tayyab Tariq, and Fiza Nasir. "Voltage Profile Enhancement of an IEEE 14 Bus System by using SVC." In 2023 International Conference on Energy, Power, Environment, Control, and Computing (ICEPECC). IEEE, 2023. http://dx.doi.org/10.1109/icepecc57281.2023.10209537.

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10

Pattanaik, Piyush Prakash, and Chinmoy Kumar Panigrahi. "Stability and fault analysis in a power network considering IEEE 14 bus system." In 2018 2nd International Conference on Inventive Systems and Control (ICISC). IEEE, 2018. http://dx.doi.org/10.1109/icisc.2018.8398981.

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