MULTIOBJECTIVE APPROACH FOR POWER FLOW AND UNBALANCE CONTROL IN LOW-VOLTAGE NETWORKS CONSIDERING DISTRIBUTED ENERGY RESOURCES

被引：0

作者：

Ferreira, W. M. ^{[1
,2
]}

Brandao, D. I. ^{[1
]}

Guimaraes, F. G. ^{[1
]}

Tedeschi, E. ^{[3
]}

Marafao, F. P. ^{[4
]}

机构：

[1] Univ Fed Minas Gerais, Grad Program Elect Engn, Belo Horizonte, MG, Brazil

[2] Fed Inst Educ Sci & Technol Minas Gerais, Ipatinga, MG, Brazil

[3] Norwegian Univ Sci & Technol, Dept Elect Power Engn, Trondheim, Norway

[4] Univ Estadual Paulista, Grp Automat & Integrated Syst, Sorocaba, SP, Brazil

来源：

2017 XIV BRAZILIAN POWER ELECTRONICS CONFERENCE (COBEP) | 2017年

基金：

巴西圣保罗研究基金会;

关键词：

Distributed generation; Genetic algorithm; Microgrid; Multiobjective power flow; Unbalance;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes a multiobjective optimization technique that maximizes the active power generation from single-phase distributed generators, and minimizes the unbalance factor at the point of common coupling of the network. Such technique is incorporated into a centralized control strategy for optimal power flow control purpose. The centralized control strategy used herein is the Power-Based Control that coordinates the distributed units to contribute to the network's active and reactive power needs, per phase, in proportion of their power capacity. The simulation results of a simplified network with three single-phase distributed generators validate the proposal in terms of power flow control, voltage regulation and power quality.

引用

页数：6

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