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Study of the Reactive Power Optimization for Distribution Systems Based on Hybrid Intelligent Algorithm

Author: LiuHuiZuo
Tutor: YangShuYing
School: North China Electric Power University (Hebei)
Course: Proceedings of the
Keywords: hybrid intelligent algorithm reactive power optimization particle swarm algorithm immune
CLC: TM714.3
Type: Master's thesis
Year: 2009
Downloads: 109
Quote: 1
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Abstract


The reactive power optimization is considered effective to guarantee the safety and the economical operation of power system. Making rational optimization to the reactive component not only can improve the voltage level of the systems operation, but also can decrease the active and the reactive network loss of power system and make its operation more effective. This paper has thoroughly studied reactive power optimization algorithm, according to the case of algorithm researching, the hybrid intelligent algorithm—adaptive immune particle swarm optimization algorithm (AIPSO) is advised which combines the particle swarm optimization algorithm and the immune algorithm together, which has solved the problems of prematurity and low convergence speed in the final stage of PSO algorithm.The immune particle swarm optimization algorithm is applied to the reactive power optimization of real cases in a city .The results shows that the hybrid intelligent algorithm in this paper is effective, and possesses excellent value in theory and practice.

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Load analysis > Reduce energy loss and reactive power compensation system
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