Frequency Regulation of Hybrid Distributed Power Systems Integrated with Renewable Sources by Optimized Type-2 Fuzzy PID Controller

被引：0
|
作者：
Nayak, Smrutiranjan [1 ]
Dash, Subhransu Sekhar [2 ]
Kar, Sanjeeb Kumar [1 ]
机构：
[1] Siksha O Anusandhan Univ, ITER, Dept Elect Engn, Bhubaneswar, Odisha, India
[2] GCE, Dept Elect Engn, Keonjhar, Odisha, India
来源：
2021 9TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID | 2021年
关键词：
Sunflower Optimization Algorithm (SFO); Improved SFO (ISFO); Distributed Energy Sources; renewable sources; Frequency Control; Adaptive Type-2 Fuzzy PID (AT2FPID) Controller; AUTOMATIC-GENERATION CONTROL; ALGORITHM; AGC;
D O I：
10.1109/ICSMARTGRID52357.2021.9551255
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The uncertain nature of renewable sources and load demand makes modern power systems highly complex and causes the frequency fluctuations. This research presents a maiden application of an Improved Sunflower Optimization Algorithm (ISFO) technique tuned Adaptive Type-2 Fuzzy PID (AT2FPID) structurefor frequency regulation of hybrid distributed power systems integrated with renewable sources. Initially, PID controller is considered and the dominance of ISFO over Sunflower Optimization Algorithm (SFO), Genetic Algorithm (GA) and Differential Evolution (DE) has been established. Performance comparison is carried out by assessing overshoots, undershoots and various integral errors due to Step Load Perturbations (SLPs) in each area. In the next stage, AT2FPID controller is considered and its supremacy to control the system frequency is demonstrated by comparing with Type-2 Fuzzy PID (T2FPID), Type-1 Fuzzy PID (T1FPID) and PID controllers.
引用
收藏
页码：259 / 263
页数：5
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