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基于改进灰狼算法的配电网反时限过电流保护定值优化

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随着分布式电源接入配电网,改变了电网结构,导致故障电流特征越发复杂.本文针对配电网反时限过电流保护定值优化问题,提出一种基于改进灰狼算法的反时限过电流保护(ITOCP)定值优化算法.首先,针对反时限过电流保护参数约束复杂、关联性强的特点,引入静态惩罚函数对约束项进行处理,建立一个含静态惩罚函数和保护动作总时间的新颖的配电网ITOCP优化模型;其次,为了避免参数寻优陷入局部最优,引入比例调节因子改变全局搜索和局部搜索的比例,浮动因子优化灰狼个体的活动范围.提出一种改进的灰狼算法对ITOCP的时间系数和启动电流进行优化整定,缩短配电网故障保护动作时间,实现故障的快速有效切除.最后,以含分布式电源的IEEE 15节点配电网的两相短路电流故障和三相短路电流故障为例,验证所提方法的有效性和优越性.
Setting Value Optimization of Inverse Time Overcurrent Protection in Distribution Network Based on Improved Grey Wolf Algorithm
With the access of distributed generations into the distribution network,the structure of the power grid has been changed,and fault current characteristics are getting more complex.A setting opti-mization algorithm based on an improved grey wolf algorithm to solve the problem of inverse time over-current protection is proposed.First,in view of the characteristics of complex constraint and strong cor-relation of inverse time overcurrent protection parameters,a static penalty function is introduced to deal with the constraint items,and a novel inverse time overcurrent protection optimisation model with static penalty function and the total time of protection action is established for the distribution network.Then, to avoid parameters optimization from falling into the local optimum,this paper introduces a proportional tuning factor to change the proportion of global search and local search and a floating factor to optimize the activity of grey wolf individuals,an improved grey wolf algorithm is proposed to optimise time coeffi-cients and starting currents of inverse time overcurrent protection,so as to shorten the action time of fault protection in a distribution network and realize rapid and effective removal of faults.Finally,two-phase and three-phase short-circuit current fault cases of the IEEE 15-bus distribution network with dis-tributed generations are taken as examples to verify its effectiveness and superiority.

distribution networkinverse time overcurrent protectionstatic penalty functiontotal time of the protection actionimproved grey wolf algorithm

危志强、张艳、娄柯

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安徽工程大学 电气传动与控制安徽普通高校重点实验室,安徽 芜湖 241000

配电网 反时限过电流保护 静态惩罚函数 保护动作总时间 改进的灰狼算法

安徽省高校优秀青年骨干人才海外访问研究项目安徽省重点研究与开发计划项目安徽工程大学横向项目(智能吊系统开发)

gxgwfx2019042202004a05020014KH10001122

2024

安徽工程大学学报
安徽工程大学

安徽工程大学学报

影响因子:0.289
ISSN:2095-0977
年,卷(期):2024.39(1)
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