DocumentCode
3389795
Title
A reactive power optimization solution with max power margin for shipboard power system based on CPSO
Author
Wang, Chuan ; Liu, Yancheng ; Pan, Xinxiang
Author_Institution
Marine Eng. Coll., Dalian Maritime Univ., Dalian, China
Volume
3
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
162
Lastpage
165
Abstract
A formulation of the optimal reactive power flow problem for shipboard power system and results from tests of the chaos particle swarm optimization (CPSO) algorithm are presented in this paper. The objective function of the mathematical model minimizes the real power losses and voltage collapse risk by evaluating linearized reactive power margin index of weak node or nodes. Reactive power margin is the power difference between current running point and voltage collapse point. The proposed methodology evolves a unique version of PSO by adding a chaotic local search (CLS). Numerical example on a test system of a ship´s distribution network demonstrates the introduced methodology succeeds in guaranteeing real power loss minimization and reactive power margin maximization.
Keywords
distribution networks; load flow; particle swarm optimisation; power systems; reactive power; ships; chaos particle swarm optimization; chaotic local search; optimal reactive power flow; power loss minimization; reactive power margin maximization; reactive power optimization; ship distribution network; shipboard power system; voltage collapse risk; Chaos; Educational institutions; Intelligent transportation systems; Particle swarm optimization; Power engineering and energy; Power generation; Power system stability; Power systems; Reactive power; Voltage control; Chaos particle swarm optimization algorithm; Reactive power margin; Reactive power optimization; real power loss; voltage stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-4544-8
Type
conf
DOI
10.1109/PEITS.2009.5406821
Filename
5406821
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