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Optimal reactive power planning of radial distribution systems with distributed generation

Authors: Xiong, J; Ni, Y; Zhong, J; Chen, L; Gan, D; Xia, X;

Optimal reactive power planning of radial distribution systems with distributed generation

Abstract

A method for optimal reactive power planning of radial distribution systems with distributed generation is proposed. The wind power generation units installed in distribution systems may cause reverse power flow and voltage variations due to the random-like output of wind power generation units. To conquer that disturbance, an optimal reactive power planning model is proposed to combine the reactive power support from SVC and distributed diesel units, and the optimal object is consist of power loss cost, SVC installation cost, reactive power production cost of diesel units. With the genetic algorithm as the optimization method and using Monte-Carlo simulation, the location and the output of SVC and distributed diesel units are determined. The proposed model is applied to a sample system.

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Country
China (People's Republic of)
Related Organizations
Keywords

Optimal reactive power planning, SVC, Reactive power production cost, Monte-Carlo simulation, Distributed generation, Wind power generation

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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!
0
Average
Average
Average
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