Optimal reconfiguration of distribution systems with representation of uncertainties through interval analysis

被引：37

作者：

de Oliveira, Leonardo W. ^{[1
]}

Seta, Felipe da S. ^{[1
]}

de Oliveira, Edimar J. ^{[1
]}

机构：

[1] Fed Univ Juiz de Fora UFJF, Dept Elect Engn, Juiz De Fora, MG, Brazil

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2016年 / 83卷

关键词：

Optimal reconfiguration; Distribution system; Artificial immune system; Interval analysis; NETWORK RECONFIGURATION; ALGORITHM;

D O I：

10.1016/j.ijepes.2016.04.020

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The present work presents an approach for optimal reconfiguration of electrical distribution systems (EDS) to minimize energy losses considering uncertainties in the load demand and in the wind based distributed generation (DG). The optimization algorithm applied to solve the reconfiguration problem is based on the bio-inspired metaheuristic Artificial Immune Systems (AIS). An interval power flow model is used to obtain an interval energy loss from the representation of the uncertainties. The interval loss is used. to guide the AIS algorithm through the search space. Network and operational constraints as the radiality and connectivity of the network as well as different load levels are considered, Well-known test systems are used to assess the impact of the uncertainties representation in the reconfiguration problem. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：382 / 391

页数：10

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