A maiden application of modified grey wolf algorithm optimized cascade tilt-integral-derivative controller in load frequency control

被引:0
作者
Guha, Dipaya [1 ]
Roy, Provas Kumar [2 ]
Banerjee, Subrata [3 ]
机构
[1] Motilal Nehru Natl Inst Technol, Elect Engineeting Dept, Allahabad, Uttar Pradesh, India
[2] Kalyany Govt Engn Coll, Elect Engineeting Dept, Kalyani, W Bengal, India
[3] Natl Inst Technol Durgapur, Elect Engineeting Dept, Durgapur, India
来源
2018 20TH NATIONAL POWER SYSTEMS CONFERENCE (NPSC) | 2018年
关键词
Load frequency control; Cascade control; Tilt-integral-derivative control; Grey wolf optimization; Robustness; AUTOMATIC-GENERATION CONTROL; SEARCH ALGORITHM; DESIGN; SYSTEM;
D O I
暂无
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
Retaining area frequency to its steady-state value following load variation is one of the critical concerns in the control and operation of a multi-area interconnected power plant. This study exhibits a maiden application of cascade tilt-integral-derivative (CC-TID) controller in load frequency control (LFC) of a power system. The TID-controller is employed as a slave controller, and conventional proportional-integral (PI) controller is utilized as a master controller while designing CC-TID controller. To reveal the effectiveness of the CC-TID controller, a four-area interconnected power plant is investigated. The controller parameters are simultaneously optimized by implementing modified grey wolf optimization (mGWO) algorithm. The effectiveness of the CC-TID controller is compared with I-, PID-, PI-PD, and TID-controllers for the same test system. The comparison reveals that CC-TID yields better output compared to other controllers concerning peak overshoot, undershoot, and settling time. Moreover, the supremacy of mGWO-algorithm is confirmed over flower pollination algorithm (FPA). The system is investigated with step load and random load disturbances.
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页数:6
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