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Optimal Reactive Power Planning Using Genetic Algorithm

Authors: Chao-Rong Chen; Hang-Sheng Lee; Wenta Tsai;

Optimal Reactive Power Planning Using Genetic Algorithm

Abstract

This paper is proposed an optimal shunt capacitor planning of a transmission system using genetic algorithm. The genetic algorithm is used to find optimal shunt capacitor single unit capacity of various voltages rank and the install positions for peak power system and control the bus voltage to the reasonable range. The genetic algorithm has the advantages of simply, easy to access, and fast. In reactive power dispatch, the goal we defined is the 1.0 p.u. of bus voltage. In order to reach the goal, the penalty factors are used for fitness function. Simulation results show that the proposed algorithm obtains the good performances on the power system reactive dispatch and planning.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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