DocumentCode :
2692234
Title :
Optimal location of FACTS devices by a Bacterial Swarming Algorithm for reactive power planning
Author :
Lu, Z. ; Li, M.S. ; Tang, W.J. ; Wu, Q.H.
Author_Institution :
Univ. of Liverpool, Liverpool
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
2344
Lastpage :
2349
Abstract :
This paper proposes a reactive power planning model, which incorporates flexible AC transmission system (FACTS) devices. The optimal location of multi-type FACTS devices and their control parameters are optimized by a novel bacterial swarming algorithm (BSA) to minimize the real power losses and also to improve voltage profile. The simulation studies have been undertaken on both IEEE 30-bus and 118-bus test systems. Simulation results show that the performance of the power system is improved with multi-type FACTS placed optimally in the reactive power planning model. The advantage of using BSA to determine the location of FACTS devices is demonstrated, in comparison with two other evolutionary algorithms (EAs), i.e., genetic algorithm (GA) and particle swarm optimizer (PSO).
Keywords :
evolutionary computation; flexible AC transmission systems; power transmission planning; reactive power; BSA; FACTS devices; IEEE 118-bus; IEEE 30-bus; bacterial swarming algorithm; evolutionary algorithms; flexible AC transmission system; reactive power planning; Evolutionary computation; Flexible AC transmission systems; Microorganisms; Optimal control; Power system modeling; Power system planning; Power system simulation; Reactive power; System testing; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424764
Filename :
4424764
Link To Document :
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