Chaos quantum particle swarm optimization for reactive power optimization considering voltage stability
QU Su-han1, Ma Ping2, CAI Xing-guo1
1.School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China;2.School of Automation Engineering,Qingdao University,Qingdao 266071,China
Abstract:
The reactive power optimization considering voltage stability is an effective method to improve voltage stablity margin and decrease network losses,but it is a complex combinatorial optimization problem involving nonlinear functions having multiple local minima and nonlinear and discontinuous constraints. To deal with the problem,quantum particle swarm optimization (QPSO) is firstly introduced in this paper,and according to QPSO,chaotic quantum particle swarm optimization (CQPSO) is presented,which makes use of the randomness,regularity and ergodicity of chaotic variables to improve the quantum particle swarm optimization algorithm. When the swarm is trapped in local minima,a smaller searching space chaos optimization is used to guide the swarm jumping out the local minima. So it can avoid the premature phenomenon and to trap in a local minima of QPSO. The feasibility and efficiency of the proposed algorithm are verified by the results of calculation and simulation for IEEE 14-buses and IEEE 30-buses systems.
Key words: reactive power optimization voltage stability margin quantum particle swarm optimization chaos optimization
DOI：10.11916/j.issn.1005-9113.2010.03.011
Clc Number:TM714.3
Fund:
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Chaos quantum particle swarm optimization for reactive power optimization considering voltage stabil
本站小编 哈尔滨工业大学/2019-10-23
相关话题/Chaos quantum particle swarm optimization
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