Teaching Learning Based Optimization algorithm for reactive power planning

被引：39
|
作者：
Bhattacharyya, Biplab [1 ]
Babu, Rohit [1 ]
机构：
[1] Indian Sch Mines, Dept Elect Engn, Dhanbad 826004, Jharkhand, India
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2016年 / 81卷
关键词：
Operating cost; Active power loss; TLBO algorithm; Reactive power optimization; DISTRIBUTION-SYSTEMS; VOLTAGE;
D O I：
10.1016/j.ijepes.2016.02.042
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：
Reactive power planning is one of the most challenging problem for efficient and source operation of an interconnected power network. It requires effective and optimum co-ordination of all the reactive power sources present in the network. Recently, Teaching Learning Based Optimization (TLBO) algorithm is evolved and finds its application in the field of engineering optimization. In the proposed work TLBO based optimization algorithm is used for reactive power planning and applied in IEEE 30 and IEEE 57 bus system. The results obtained by this method are compared with the results obtained by other optimization techniques like PSO (Particle swarm optimization), Krill heard, HSA (Harmony search algorithm) and BB-BC (Big Bang-Big Crunch). At the end, TLBO appears as the most effective method for reactive power planning among all the methods discussed and can be considered as one of the standard method for reactive power optimization. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：248 / 253
页数：6
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