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Moradi, Alireza, Hashemi, Seyed Mohammad Reza, Mirrezaei, Seyed Masoud. (1401). Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm. نشریه مهندسی عمران امیرکبیر, 54(2), 225-234. doi: 10.22060/eej.2022.21061.5454
Alireza Moradi; Seyed Mohammad Reza Hashemi; Seyed Masoud Mirrezaei. "Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm". نشریه مهندسی عمران امیرکبیر, 54, 2, 1401, 225-234. doi: 10.22060/eej.2022.21061.5454
Moradi, Alireza, Hashemi, Seyed Mohammad Reza, Mirrezaei, Seyed Masoud. (1401). 'Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm', نشریه مهندسی عمران امیرکبیر, 54(2), pp. 225-234. doi: 10.22060/eej.2022.21061.5454
Moradi, Alireza, Hashemi, Seyed Mohammad Reza, Mirrezaei, Seyed Masoud. Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm. نشریه مهندسی عمران امیرکبیر, 1401; 54(2): 225-234. doi: 10.22060/eej.2022.21061.5454

Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm

AUT Journal of Electrical Engineering
مقاله 6، دوره 54، شماره 2، اسفند 2022، صفحه 225-234    اصل مقاله (1.11 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/eej.2022.21061.5454
نویسندگان
Alireza Moradi* 1؛ Seyed Mohammad Reza Hashemi2؛ Seyed Masoud Mirrezaei3
1Department of Electrical Engineering, Mahdishahr Branch, Islamic Azad University, Mahdishahr, Iran.
2Faculty of Computer Engineering, Shahrood University of Technology, Semnan, Iran.
3Faculty of Electrical Engineering, Shahrood University of Technology, Semnan, Iran
چکیده
Flexible AC transmission system devices can function efficiently, powerfully, and economically in congestion management through the control of the lines transmission power and the voltage of the power systems buses. However, the congestion management of power systems may affect the transient stability or network voltage stability, and also reduce the system security. Therefore, constructing congestion management requires the consideration of power system stability. In this paper, a multi-objective Fuzzy structure is employed to obtain the optimal locating and sizing of the Unified Power Quality Conditioner -phase angle control for the congestion management, so that it optimizes total operating cost, voltage, and transient security. In order to achieve the above goals, Unified Power Quality Conditioner-phase angle control placement has been performed using the Fuzzy method. Using Fuzzy inference system, triple objective functions are expressed in terms of a single objective function and optimized with the Harmony Search Algorithm. To illustrate the effectiveness of the proposed approach, this method is implemented in MATLAB software for the congestion management of England's new network with 39 buses. The results indicate that using the proposed method, congestion management is done optimally, which not only does not reduce system security, but also increases its security margin.
کلیدواژه‌ها
Congestion management؛ Fuzzy inference system؛ Harmony Search Algorithm (HSA)؛ Power system stability margin؛ Unified Power Quality Conditioner-phase angle control (UPQC-PAC)
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