Research On Fault Recovery Optimization Algorithm Of Distribution Network With Distributed Power Supply

Since distributed power distribution network access,network topology structure is a huge change,from the traditional single power radiation into multiple power supply network,fault recovery also is in the original single joined the island partition steps in the process of network recon Figuration,greatly increases the difficulty to find the most suitable operation scheme.Aimed at this kind of situation puts forward a fault recovery based on improved particle swarm algorithm optimization,by changing the parameters of algorithm and other algorithms in reasonable to increase the speed of searching optimization,parameter modification is mainly of attenuation strategy of inertia weight in particle swarm optimization(pso)changes,combined with other algorithms is mainly introduce the mutation and crossover operation of genetic algorithm.The fault recovery process is divided into island division and distribution network reconstruction respectively,and the main objective function of recovery is determined as load loss,network loss,maximum voltage offset and switching operand.The four electrical physical quantities are successfully expressed through the improved backward and forward generation method for power flow calculation.The weight distribution among the four electrical physical quantities was obtained by AHP.Finally,the experimental model is built in MATLAB,and the distribution network system with different models is simulated according to the loss recovery amount,network loss,maximum voltage offset,switching operand and other objectives.The dynamic model is approximately divided into the fault recovery process of different periods using Kmeans algorithm.The effectiveness and accuracy of the improved algorithm are verified by the fault recovery process under the participation of the algorithm.After the membership function and judgment matrix are constructed for different objective functions,the weight of load loss is 0.5,the weight of network loss is 0.1,and the weight of maximum voltage offset and switching operand is 0.2.In the process of restoring the static model,the improved algorithm finds the optimal solution 58 times,which is obviously faster than the traditional algorithm.The recovery situation of the three stages in the time-segment recovery model is different,and the recovery situation of the third stage is the worst.The maximum voltage offset of the system is 11.32%,and the active network loss after system recovery is 191.6414 k W.Distributed power integrated access and access,in the comparison of the dispersion access model of power system voltage support effect is better,the network loss is smaller,but because the accident divides the island area and cause too much load loss of electricity,so considering the fault may be distributed under the condition of the power supply should not be too scattered access;In the last example simulation model,the final fitness value of the improved algorithm is 6.2447,which is less than the traditional algorithm’s6.8698,and the optimization speed is faster,which verifies the superiority of the improved algorithm.Fig[38] Table[18] Reference[80]...