Distribution Network Reconfiguration Using an Approximate Optimization Approach

被引：0
|
作者：
Rong, Haina [1 ]
Qin, Yanhui [1 ]
机构：
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
来源：
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷
关键词：
power system; distribution network reconfiguration; optimization; quantum-inspired evolutionary algorithm;
D O I：
10.4028/www.scientific.net/AMM.303-306.1276
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Power network reconfiguration is an important process in the improvement of operating conditions of a power system and in planning studies, service restoration and distribution automation when remote-controlled switches are employed. This paper presents the use of a quantum-inspired evolutionary algorithm to solve the distribution network reconfiguration problem. The quantum-inspired evolutionary algorithm is the combination product of quantum computing and evolutionary computation and is suitable for a class of integer programming problems such as the distribution network reconfiguration problem. After the analysis and formulation of the distribution network reconfiguration problem, the effectiveness and feasibility of the introduced method is verified by a large number of experiments.
引用
收藏
页码：1276 / 1279
页数：4
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