An improved GSO method for discontinuous non-convex transient stability constrained optimal power flow with complex system model

被引:13
|
作者
Xia, S. W. [1 ]
Zhou, B. [2 ]
Chan, K. W. [1 ]
Guo, Z. Z. [3 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[2] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
[3] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Peoples R China
关键词
Discontinuous; Non-convex; Optimal power flow; Transient stability; Improved group search optimization; Complex system model; DIFFERENTIAL EVOLUTION ALGORITHM; GROUP SEARCH OPTIMIZER; INTERIOR-POINT METHOD;
D O I
10.1016/j.ijepes.2014.07.051
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Transient stability constrained optimal power flow (TSCOPF) is an important tool for power system planning and operation. In the paper, a discontinuous non-convex TSCOPF model with many minima is proposed to fully consider the generation valve-point effects and prohibited operation zones (POZs). Though the model is hard, it is general and flexible not only to accommodate any complex system components and discrete control variables, but also to be solved with any state of the art heuristic solution methods. Furthermore, an improved Group Search Optimization (IGSO) algorithm based on backward searching strategy, Cauchy mutation and inheritance operator is tailored to solve this challenging discontinuous non-convex problem. Four comprehensive case studies on the WSCC 9-bus system, New England 39-bus system, and IEEE 145-bus system have confirmed the validity of proposed discontinuous non-convex TSCOPF model and the outperformance of IGSO solution method compared with seven representative artificial intelligence algorithms. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:483 / 492
页数:10
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