Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55454
Title: A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems
Authors: Niu, M
WAN, C
XU, Z 
Keywords: Constraint optimization
Heuristic optimization algorithm
Multi-objective optimization
Optimal power flow
Issue Date: 2014
Publisher: Springer
Source: Journal of modern power systems and clean energy, 2014, v. 2, no. 4, p. 289-297 How to cite?
Journal: Journal of modern power systems and clean energy 
Abstract: Optimal power flow (OPF) is one of the key tools for optimal operation and planning of modern power systems. Due to the high complexity with continuous and discrete control variables, modern heuristic optimization algorithms (HOAs) have been widely employed for the solution of OPF. This paper provides an overview of the latest applications of advanced HOAs in OPF problems. The most frequently applied HOAs for solving the OPF problem in recent years are covered and briefly introduced, including genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), and evolutionary programming (EP), etc.
URI: http://hdl.handle.net/10397/55454
ISSN: 2196-5625 (print)
2196-5420 (online)
DOI: 10.1007/s40565-014-0089-4
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