Application of Intelligent Grey Wolf Optimizer for Transient Stability Constrained Optimal Power Flow

被引:0
|
作者
Soni, Bhanu Pratap [1 ,2 ]
Kumar, Rajesh [2 ]
Gupta, Vikas [2 ]
Saxena, Akash [3 ]
Surana, S. L. [3 ]
机构
[1] Univ Engn & Management, Dept Elect Engn, Jaipur 303807, Rajasthan, India
[2] Malviya Natl Inst Technol, Dept Elect Engn, Jaipur 302017, Rajasthan, India
[3] Swami Keshvanand Inst Technol Management & Gramot, Dept Elect Engn, Jaipur 302017, Rajasthan, India
来源
2018 8TH IEEE INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (IICPE) | 2018年
关键词
Constrained optimization; Dynamic security assessment; Grey wolf optimizer; Multi objective function; Opposition theory; Optimal power flow; Transient stability; SECURITY; ALGORITHM;
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
Due to deregulation in the energy market and rapid increase in the power demand, the power system components are working closely to their permissible limits. Under this environment, the systems' stability and security are the major concern for the system operator. Transient stability and security constrained optimal power flow (TSSCOPF) problem can be developed by employing with OPF line loading and rotor angle trajectory constraints. This paper employs a newly developed variant of GWO named as Intelligent Grey Wolf Optimizer (IGWO) to solve TSSCOPF problem. The application of IGWO has been investigated on TSSCOPF problem for IEEE-30 test bus system. After observing the results and rotor angle trajectories under different severe contingencies, it can be stated that the proposed method is suitable for TSSCOPF problem. Further, the comparison of this variant with some recently published approaches is also presented. The promising results establish the efficacy of IGWO for solving TSSCOPF problem.
引用
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页数:6
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