Multi-objective Optimization Of Fault Current Limiter Configuration Based On Improved Spider Algorithm

With the rapid development of China's economy and the continuous progress of industrialization,the power consumption level of enterprises and residents is increasing.This causes the fault current of the power system to increase continuously.Rapid increase of fault current in power system,it is easy to cause the rated breaking capacity of the switchgear to be exceeded,even damage the equipment,this seriously threatens the reliability of power system operation.Introduce fault current limiters(FCLs),to reduce the short-circuit current level of the system,is an effective way to solve this problem.However,the additional introduction of a fault current limiter will increase the cost of the system.Therefore,it is of great theoretical and practical significance to carry out research on the optimal configuration of the capacity of the fault current limiter.First,a multi-objective optimal configuration model for the capacity of the fault current limiter is proposed.The model aims at the minimum capacity,network loss and node voltage deviation of the fault current limiter in the power system,equality constraint with power balance,the upper and lower limits of the distributed power output,the maximum allowable reverse fault current,the maximum transmission power of the line,and the node voltage limit are inequality constraints.Under the condition of effectively reducing the level of short circuit current of the power grid,realize the minimum configuration of the fault current limiter capacity and reduce the cost of the system.Secondly,an improved spider multi-objective optimization algorithm based on normal constraints is proposed.Multi-objective optimal configuration model for fault current limiter,first introduce the normal constraint method,turn multi-objective optimization problems into single-objective optimization problems,then use the improved spider algorithm to solve the single-objective optimization problem.Through the normal constraint method,achieve a balance between multiple goals,make resource allocation reach Pareto optimal.Introduce halton initialization to generate uniformly distributed initial solutions,make the traditional social spider algorithm more uniform population distribution and faster convergence.Using fractional calculus with memory characteristics,to update the individual search trajectory,avoid finding the optimal solution falling into the local optimal solution.Finally,the multi-objective optimization configuration model of the capacity of the fault current limiter is simulated and analyzed.Using MATLAB language to write a general program that debugs the multi-objective optimization configuration model of the fault current limiter capacity,simulated calculation and analysis of IEEE39 power system with distributed power.Simulation results show,compared with existing typical fault current limiter configuration methods,the multi-objective optimal configuration method for the capacity of the fault current limiter proposed in this paper can ensure the voltage quality while reducing the system cost more reasonably.The multi-objective optimal configuration model of fault current limiter capacity constructed in this paper,by introducing network loss and node voltage deviation into the objective function,the maximum allowable reverse fault current is introduced into the constraint condition,can effectively reduce the short-circuit current level of the power grid,take into account the protection of system voltage quality and reasonable reduction of system cost.An improved spider multi-objective optimization algorithm based on normal constraints,first introduce normal constraint method,turn multi-objective problems into single-objective optimization problems,based on the fusion of halton initialization and fractional calculus to improve the traditional social spider algorithm,fast search for optimal search.The method in this paper provides an effective tool for ensuring that the power system operates at a reasonable shortcircuit current level.