Multi-objective based Optimal Network Reconfiguration using Crow Search Algorithm

被引：0
|
作者：
Salkuti, Surender Reddy [1 ]
机构：
[1] Woosong Univ, Dept Railrd & Elect Engn, Daejeon, South Korea
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2021年 / 12卷 / 03期
关键词：
Battery storage; distributed generation; evolutionary algorithms; network reconfiguration; renewable energy; uncertainty; OPTIMIZATION; INTEGRATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents an optimal network reconfiguration (ONR)/feeder reconfiguration (FRC) approach by considering the total operating cost and system power losses minimizations as objectives. The ONR/FRC is a feasible approach for the enhancement of system performance in distribution systems (DSs). FRC alters the topological structure of feeders by changing the close/open status of the tie and sectionalizing switches in the system. Apart from the power received from the main grid, this paper considers the power from distributed generation (DG) sources such as wind energy generators (WEGs), solar photovoltaic (PV) units, and battery energy storage (BES) units. The proposed multi-objective-based ONR/FRC problem has been solved by using the multi-objective crow search algorithm (MO-CSA). The proposed methodology has been implemented on two (14 bus and 17 bus) distribution systems with three feeders.
引用
收藏
页码：86 / 95
页数：10
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