Optimal Placement of FACTS Devices Using Modified Whale Optimization Algorithm for Minimization of Transmission Losses

被引:1
|
作者
Kar, Manoj Kumar [1 ]
Kanungo, Sanjeet [2 ]
Alsaif, Faisal [3 ]
Ustun, Taha Selim [4 ]
机构
[1] Tolani Maritime Inst, Dept Elect & Elect, Pune 410507, Maharashtra, India
[2] Tolani Maritime Inst, Marine Engn Dept, Pune 410507, Maharashtra, India
[3] King Saud Univ, Coll Engn, Dept Elect Engn, Riyadh 11421, Saudi Arabia
[4] AIST FREA, Fukushima Renewable Energy Inst, Koriyama 9630298, Japan
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Optimization; Mathematical models; Power system stability; Reactive power; Whale optimization algorithms; Propagation losses; Thyristors; Active power loss; load flow analysis; modified whale optimization algorithm; optimal placement; SVC; TCSC; REACTIVE POWER DISPATCH;
D O I
10.1109/ACCESS.2024.3458039
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel modified whale optimization algorithm (MWOA) is presented in this study to minimize transmission losses. The proposed method is used to determine the best control variables, such as reactive power generation, transformer tap settings, and reactive power sources. First, the power flow analysis method is used to determine where the flexible AC transmission system (FACTS) devices should be placed. To achieve the intended objectives, the suggested MWOA approach is applied on multiple IEEE standard test bus systems (IEEE-30, -57, and-118) at different active and reactive loading conditions. The shunt compensation was handled by a Static VAR compensator (SVC) while the series compensation was handled by a thyristor-controlled series compensator (TCSC). The results of applying the MWOA approach are shown and contrasted with those of other promising optimization techniques, including the sine cosine algorithm (SCA), whale optimization algorithm (WOA), moth flame optimization (MFO), grey wolf optimization (GWO), and particle swarm optimization (PSO). The proposed method significantly reduces the active power loss, i.e., 11.11 % in IEEE 30, 50.32 % in IEEE 57 and 15.17% in IEEE 118 bus system at base loading. Ultimately, a comprehensive study of the statistical data was conducted to validate the precision and robustness of the suggested methodology.
引用
收藏
页码:130816 / 130831
页数:16
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