Electric Vehicle Access Reconfiguration Strategy for Active Distribution Grid Based on Improved Fireworks Algorithm

The access of a large number of photovoltaic (PV) power terminals and electric vehicles on the distribution grid side will increase the network loss and affect the power system reliability. To address this phenomenon, this paper proposes an improved fireworks algorithm to cope with the problem of reconfiguring the distribution network. In this paper, the algorithm minimizes the network loss of the distribution network as the objective function, and integrates the Cauchy variational operator and reverse learning to improve the algorithm in order to reduce the number of iterations and improve the algorithm's search efficiency; at the same time, it combines with the optimal fireworks fine-tuning strategy, to avoid a large number of the same sparks produced by the optimal fireworks explosion, and to effectively improve the diversity of the sparks; finally, it takes the IEEE33 node as an example to conduct a simulation and analysis. The simulation results prove that the node voltage curve trend fits well with the pre-access curve, and the average node voltage improvement under PV access after reconfiguration using the IFWA algorithm is 3.93%; at the same time, the proposed improvement algorithm compared with the original algorithm to improve the computational speed of about 38.8%, the algorithm's search efficiency is significantly improved, to validate the effectiveness of this paper's strategy and superiority.