Voltage stability constrained transmission network expansion planning using fast convergent grey wolf optimization algorithm

被引：0
作者：
Ashish Khandelwal
Annapurna Bhargava
Ajay Sharma
机构：
[1] Rajasthan Technical University,
[2] Government Engineering College,undefined
来源：
Evolutionary Intelligence | 2021年 / 14卷
关键词：
Swarm intelligence; Grey wolf optimization; Voltage stability indicator; IEEE 24 bus test system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Transmission network expansion planning problem (TNEP) is of utmost importance in power system now a days. In this paper, a voltage stability indicator (L-index) is applied to limit the voltage of buses. Hence TNEP is formulated incorporating this voltage stability feature. Thus formulated TNEP is termed as voltage stability constrained TNEP (VSC-TNEP). TNEP has been solved using various conventional and non-conventional strategies by various researchers in these days. Here, TNEP and VSC-TNEP for IEEE-24 bus test system is solved using grey wolf optimization technique (GWO) and modified GWO. The modified GWO algorithm namely, fast convergent GWO (FCGWO) is validated over 25 standard benchmark test functions and compared with other techniques.
引用
收藏
页码：1261 / 1270
页数：9
相关论文
共 48 条
[1]  
Kessel P(1986)Estimating the voltage stability of a power system IEEE Trans Power Deliv 1 346-354
[2]  
Glavitsch H(2008)Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm Int J Electr Power Energy Syst 30 525-532
[3]  
Zhang Wen(2010)Genetic algorithm based reactive power dispatch for voltage stability improvement Int J Electr Power Energy Syst 32 1151-1156
[4]  
Liu Yutian(2014)Grey wolf optimizer Adv Eng Softw 69 46-61
[5]  
Devaraj D(2016)Optimal placement and sizing of capacitor using limaçon inspired spider monkey optimization algorithm Memet Comput 9 1-21
[6]  
Roselyn J Preetha(2017)Power law-based local search in spider monkey optimisation for lower order system modelling Int J Syst Sci 48 150-160
[7]  
Seyedali M(2015)Grey wolf optimization for multi input multi output system Univ J Commun Netw 3 1-6
[8]  
Mirjalili SM(2016)Load frequency control of interconnected power system using grey wolf optimization Swarm Evol Comput 27 97-115
[9]  
Andrew L(2016)Binary grey wolf optimization approaches for feature selection Neurocomputing 172 371-381
[10]  
Sharma A(1996)Transmission system expansion planning by simulated annealing IEEE Trans Power Syst 11 364-369
12345