Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization

被引:205
|
作者
Imran, Mohamed A. [1 ]
Kowsalya, M. [1 ]
机构
[1] VIT Univ, Sch Elect Engn, Vellore 632014, Tamil Nadu, India
关键词
Distributed generation; Bacterial Foraging Optimization Algorithm; Power loss minimization; Voltage stability; Operational cost minimization; PARTICLE SWARM OPTIMIZATION; NETWORK RECONFIGURATION; VOLTAGE STABILITY; PLACEMENT;
D O I
10.1016/j.swevo.2013.12.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Optimal location and size of distributed generation (DG) in the distribution system play a significant role in minimizing power losses, operational cost and improving voltage stability. This paper presents a new approach to find the optimal location and size of DG with an objective of minimizing network power losses, operational costs and improving voltage stability. Loss sensitivity factor is used to identify the optimal locations for installation of DG units. Bacterial Foraging Optimization Algorithm (BFOA) is used to find the optimal size of DG. BFOA is a swarm intelligence technique which models the individual and group foraging policies of the Escherichia coli bacteria as a distributed optimization process. The technical constraints of voltage and branch current carrying capacity are included in the assessment of the objective function. The proposed method has been tested on IEEE 33-bus and 69-bus radial distribution systems with various load models at different load levels to demonstrate the performance and effectiveness of the technique. (C) 2013 Elsevier B.V. All rights reserved.
引用
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页码:58 / 65
页数:8
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