A Novel Improved Particle Swarm Optimization Frame Work for Reconfiguration of Radial Distribution System

被引:0
|
作者
Sunil, Dusharla Venkata [1 ]
Yadaiah, Narri [1 ]
机构
[1] Jawaharlal Nehru Technol Univ Hyderabad, Dept Elect & Elect Engn, Hyderabad 500085, Andhra Pradesh, India
来源
2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE) | 2017年
关键词
IPSO; 33 Bus Radial Distribution Systems; Reconfiguration; NETWORK RECONFIGURATION; ALGORITHM;
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
Electrical feeder reconfiguration performs a crucial task in operating the topological formation of distribution feeders by varying the open/close condition of the switches in each normal and abnormal working environments. In the present paper an Improved Particle Swarm Optimization (IPSO) strategy are developed for distribution reconfiguration problem. The network reconfiguration has been carried out by employing a 33 bus radial distribution system for normal standard situations and condition in the occurrence of the fault. The Improved Particle Swarm Optimization (IPSO) approach has conveyed considerable minimization of real power losses in the time of normal situation of operation. During occurrence of fault the reconfiguration process could enhance the quantity of load centers provided and thus the whole load. It could be clearly determined that the proposed approach conveys an enhanced performance.
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页数:5
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