Hierarchical Agglomerative Clustering Algorithm method for distributed generation planning

被引：16

作者：

Vinothkumar, K. ^{[1
]}

Selvan, M. P. ^{[2
]}

机构：

[1] ABB Global Ind & Serv Ltd, Madras 600089, Tamil Nadu, India

[2] Natl Inst Technol, Dept Elect & Elect Engn, Tiruchirappalli 620015, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2014年 / 56卷

关键词：

Distributed generator (DG) planning; Performance indices; Multi-objective function; Hierarchical Agglomerative Clustering; Algorithm (HACA); GENETIC ALGORITHM; OPTIMIZATION; PLACEMENT; POWER;

D O I：

10.1016/j.ijepes.2013.11.021

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：

Planning of distributed generator (DG) units in the distribution system employing Hierarchical Agglomerative Clustering Algorithm (HACA) is proposed in this paper. The proposed method overcomes the dependency of existing methods of DG placement, either on the entire global preference information or on the experience of the distribution system planner. The proposed method is validated with weighted sum method and its effectiveness is tested using two distribution systems of different size and configuration. The results of the simulation study demonstrate the suitability of proposed method in solving the problem involving multiple objectives in DG planning studies. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：259 / 269

页数：11

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