Modified Grey Wolf Optimization Algorithm for Transmission Network Expansion Planning Problem

被引：41
|
作者：
Khandelwal, Ashish [1 ]
Bhargava, Annapurna [1 ]
Sharma, Ajay [2 ]
Sharma, Harish [1 ]
机构：
[1] Rajasthan Tech Univ, Kota, India
[2] Govt Engn Coll, Jhalawar, India
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2018年 / 43卷 / 06期
关键词：
Grey wolf optimization; Transmission network expansion planning; Graver's six-bus system; Brazilian 46-bus system; SPIDER MONKEY OPTIMIZATION; BOUND ALGORITHM; PROBABILITY;
D O I：
10.1007/s13369-017-2967-3
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Transmission network expansion planning (TNEP) problem is a large-scale, complex mixed integer nonlinear programming problem. The solution of TNEP problem is essential to fulfill the load demand in an economical manner. A grey wolf optimization (GWO) algorithm which is a nature-inspired metaheuristic algorithm is used to solve the TNEP problem. Further, a modified GWO is developed, and to validate its result, it is tested on 20 standard benchmark test functions. The basic and modified version of GWO algorithms is applied to solve TNEP problem for Graver's six-bus and Brazilian 46-bus systems. The obtained results are compared with other state-of-the-art algorithms. The results demonstrate the accuracy as well as proficiency of the proposed algorithm.
引用
收藏
页码：2899 / 2908
页数：10
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