Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/35961
Title: An improved GSO method for discontinuous non-convex transient stability constrained optimal power flow with complex system model
Authors: Xia, SW
Zhou, B
Chan, KW 
Guo, ZZ
Keywords: Discontinuous
Non-convex
Optimal power flow
Transient stability
Improved group search optimization
Complex system model
Issue Date: 2015
Publisher: Elsevier
Source: International journal of electrical power and energy systems, 2015, v. 64, p. 483-492 How to cite?
Journal: International journal of electrical power and energy systems 
Abstract: 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.
URI: http://hdl.handle.net/10397/35961
ISSN: 0142-0615
DOI: 10.1016/j.ijepes.2014.07.051
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