Multiobjective Optimization for DG Planning With Load Models

被引：336

作者：

Singh, Deependra ^{[1
]}

Singh, Devender ^{[2
]}

Verma, K. S. ^{[1
]}

机构：

[1] Kamla Nehru Inst Technol, Dept Elect Engn, Sultanpur, India

[2] Banaras Hindu Univ, Inst Technol, Dept Elect Engn, Varanasi 221005, Uttar Pradesh, India

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2009年 / 24卷 / 01期

关键词：

Distributed generation (DG); distribution systems; genetic algorithms (GA); load models; DISTRIBUTED GENERATION; DISTRIBUTION-SYSTEMS;

D O I：

10.1109/TPWRS.2008.2009483

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：

This paper presents a multiobjective performance index-based size and location determination of distributed generation in distribution systems with different load models. Normally, a constant power (real and reactive) load model is assumed in most of the studies made in the literature. It is shown that load models can significantly affect the optimal location and sizing of distributed generation (DG) resources in distribution systems. The simulation technique based on genetic algorithms is studied. The studies have been carried out on 16-bus and 37-bus distribution systems.

引用

页码：427 / 436

页数：10

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