基于灰狼优化算法的动态负载下传动系统中多工况装置的优化布置

Yusuf Samuel Sunday, Okorie Patrick Ubeh, A. Saidu, Alhassan Fahad
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引用次数: 5

摘要

为了通过柔性交流输电系统(FACTS)器件的优化布置来降低系统总损耗和最小化电压偏差,本文将灰狼优化技术应用于多个FACTS的布置。灰狼优化(GWO)技术受到狼的社会等级和狩猎行为的启发,在寻找全局最优的过程中,在探索和开发之间提供了正确的平衡。串联并联FACTS装置;统一潮流控制器(UPFC)被认为是一种强大的设备,它可以为输电线路的灵活可控性和提高输电能力提供替代选择。通过增加网络中UPFC的数量进行分析,以评估在最大负载和应急条件下损失最小的FACTS设备的最佳数量。利用MATLAB环境在尼日利亚国家电网(NNG)的31条母线上验证了该技术的有效性。结果表明,FACTS装置的优化布置以及优化技术为解决困扰尼日利亚国家电网的高功率损耗和电压偏差问题提供了一个很有前途的解决方案。
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GREY WOLF OPTIMIZER BASED OPTIMAL PLACEMENT OF MULTIPLE FACTS DEVICES IN THE TRANSMISSION SYSTEM UNDER DYNAMIC LOADING SYSTEM
The application of grey wolf optimization technique for multiple FACTS placement is presented in this paper for the reduction of total system losses and minimization of voltage deviation via optimal placement of Flexible AC Transmission System (FACTS) device. Grey wolf optimization (GWO) technique is inspired by social hierarchy and hunting behaviour of wolves and offers a right balance between exploration and exploitation during the search for global optimal. Series-shunt FACTS device; unified power flow controller (UPFC) is considered as a formidable device that can provides an alternative option for the flexible controllability and improvement of power transfer capability of a transmission lines. The analyses were conducted by increasing the number of UPFC in the network in order to evaluate the optimal number of FACTS devices that would give the least loss under maximum loading and contingency conditions. The efficacy of this proposed technique is demonstrated on 31-bus, 330 kV Nigeria National Grid (NNG) using MATLAB environment. The results show that optimal placement of FACTS device along with optimization technique provides a promising solution to the high power loss and voltage deviation bedevilling Nigeria National Grid.
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发文量
21
审稿时长
6 weeks
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