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.
关键词
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
Key words
distribution network/inverse time overcurrent protection/static penalty function/total time of the protection action/improved grey wolf algorithm
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