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Fakhriddin, Isayev, Tursunov, Olim, Suluv Yangiboevna, Khamidova, Ernazarov, Mirzokhid, Mirzaev, Otabek, Khurramovich Karimov, Fakhriddin, Anvar Nazirjonovich, Khudoyarov. (1404). Load–Frequency Control of a Restructured Multi-Area Power System with DFIG-Based Wind Integration Using Coordinated AVR–PSS–FACTS and Optimized PID Controllers. سامانه مدیریت نشریات علمی, 13(Special Issue), 44-53. doi: 10.22098/joape.2025.18913.2466
Isayev Fakhriddin; Olim Tursunov; Khamidova Suluv Yangiboevna; Mirzokhid Ernazarov; Otabek Mirzaev; Fakhriddin Khurramovich Karimov; Khudoyarov Anvar Nazirjonovich. "Load–Frequency Control of a Restructured Multi-Area Power System with DFIG-Based Wind Integration Using Coordinated AVR–PSS–FACTS and Optimized PID Controllers". سامانه مدیریت نشریات علمی, 13, Special Issue, 1404, 44-53. doi: 10.22098/joape.2025.18913.2466
Fakhriddin, Isayev, Tursunov, Olim, Suluv Yangiboevna, Khamidova, Ernazarov, Mirzokhid, Mirzaev, Otabek, Khurramovich Karimov, Fakhriddin, Anvar Nazirjonovich, Khudoyarov. (1404). 'Load–Frequency Control of a Restructured Multi-Area Power System with DFIG-Based Wind Integration Using Coordinated AVR–PSS–FACTS and Optimized PID Controllers', سامانه مدیریت نشریات علمی, 13(Special Issue), pp. 44-53. doi: 10.22098/joape.2025.18913.2466
Fakhriddin, Isayev, Tursunov, Olim, Suluv Yangiboevna, Khamidova, Ernazarov, Mirzokhid, Mirzaev, Otabek, Khurramovich Karimov, Fakhriddin, Anvar Nazirjonovich, Khudoyarov. Load–Frequency Control of a Restructured Multi-Area Power System with DFIG-Based Wind Integration Using Coordinated AVR–PSS–FACTS and Optimized PID Controllers. سامانه مدیریت نشریات علمی, 1404; 13(Special Issue): 44-53. doi: 10.22098/joape.2025.18913.2466

Load–Frequency Control of a Restructured Multi-Area Power System with DFIG-Based Wind Integration Using Coordinated AVR–PSS–FACTS and Optimized PID Controllers

Journal of Operation and Automation in Power Engineering
دوره 13، Special Issue، 2025، صفحه 44-53    اصل مقاله (1.81 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2025.18913.2466
نویسندگان
Isayev Fakhriddin* 1؛ Olim Tursunov2؛ Khamidova Suluv Yangiboevna3؛ Mirzokhid Ernazarov4؛ Otabek Mirzaev5؛ Fakhriddin Khurramovich Karimov6؛ Khudoyarov Anvar Nazirjonovich7
1Scientific Research Center "Scientific Foundations and Problems of the Development of the Economy of Uzbekistan", under Tashkent State University of Economics, Tashkent, Uzbekistan.
2Alfraganus University, House 2a, Yuqori Qoraqamish Street, Tashkent, 100190, Uzbekistan.
3Termez State University of Engineering and Agrotechnologies, Termez , Uzbekistan.
4Termez University of Economics and Service, Termez, Uzbekistan.
5Urgench State University named after Abu Rayhan Biruni, Urgench, Uzbekistan.
6Tashkent State University of Economics, Tashkent, Uzbekistan.
7Doctor (DSc) of technical sciences, Professor Andijan institute of agriculture and agrotechnology, Andijan, Uzbekistan.
چکیده
This study investigates load–frequency control (LFC) in a restructured multi‑area power system with significant renewable energy integration, where increased stochasticity and reduced inertia intensify frequency deviations. A coordinated control strategy combining automatic voltage regulator (AVR), power system stabilizer (PSS), thyristor‑controlled phase shifter (TCPS), and optimized PID controllers is proposed to improve dynamic performance under competitive market conditions. Metaheuristic optimization techniques are employed to tune controller parameters for robustness across operating scenarios, including high renewable penetration and contractual power transactions. Simulation results demonstrate that the coordinated scheme substantially reduces overshoot, settling time, and frequency oscillations compared with conventional control approaches. The findings confirm that integrating auxiliary damping devices with optimized LFC significantly enhances frequency stability and resilience in modern deregulated power systems.
کلیدواژه‌ها
Restructured power system؛ doubly-fed induction generator؛ optimization algorithms؛ particle swarm optimization؛ iperialist competitive algorithm
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