Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework

被引:11
作者
Zamani, Meysam [1 ]
Shahgholian, Ghazanfar [1 ]
Fathollahi, Arman [2 ]
Mosavi, Amir [3 ,4 ]
Felde, Imre [5 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Najafabad Branch, Najafabad 8543131, Iran
[2] Aarhus Univ, Dept Elect & Comp Engn, DK-8200 Aarhus, Denmark
[3] Ludovika Univ Publ Serv, Inst Informat Soc, H-1083 Budapest, Hungary
[4] Abylkas Saginov Karaganda Tech Univ, Dept Informat Comp Syst, Karaganda 100027, Kazakhstan
[5] Obuda Univ, John Von Neumann Fac Informat, H-1034 Budapest, Hungary
关键词
power system analysis; sustainable energy; power system; flexible AC transmission system; inter-area modes; optimization; power system stabilizer; soft computing; data science; mathematics; artificial intelligence; applied artificial intelligence; POWER-SYSTEM; TRANSIENT STABILITY; TCSC; PERFORMANCE; MANAGEMENT; DEVICES; DESIGN; SSSC; SVC;
D O I
10.3390/su152216070
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Power system stability is of paramount importance in the context of energy sustainability. The reliable and efficient operation of power systems is crucial for supporting modern societies, economies, and the growing demand for electricity while minimizing environmental impact and increasing sustainability. Due to the insufficient effect of power system stabilizers (PSSs) on damping the inter-area mode oscillations, Flexible AC Transmission System (FACTS) devices are utilized for damping this mode and stabilizing power systems. In the present study, a novel optimization framework considering different and variable weight coefficients based on eigenvalue locations is presented, and the parameters of PSS and variable impedance devices, including static Volt-Ampere Reactive (VAR) compensator (SVC) and Thyristor-Controlled Series Compensator (TCSC) (comprising amplifying gain factor and time constants of phase-compensating blocks), are optimized in a coordinated manner using the proposed optimization framework built based on genetic algorithm (GA). Moreover, in the suggested optimization framework, the locations of FACTS devices and control signals are considered optimization parameters. Numerical results for the IEEE 69-bus power system demonstrated an effective improvement in the damping of inter-area modes utilizing the offered approach.
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页数:17
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