Research On Self-healing Control Reconfiguration Technology Of Intelligent Distribution Network

In promoting a new round of energy transformation,smart grid,as the development trend of future power grid,occupies an important position in the development of power system.Smart distribution network is an important part of smart grid.Because it is directly oriented to users,its power supply quality and operation reliability directly affect people’s daily life.Therefore,it is of great significance to study smart grid,especially smart distribution network.In the smart distribution network,due to the higher requirements for the safe and reliable operation of the power grid and the quality of power supply,the self-healing control technology,as one of the important means of the smart distribution network,can quickly diagnose,isolate and restore power grid faults.It plays an important role in improving the overall quality of the power grid and realizing the intelligentization of the power grid.Distribution network reconfiguration is an important part of realizing self-healing control technology.Using artificial intelligence algorithms to quickly reconfigure distribution network after fault can reduce the active power loss of distribution network,optimize operation quality,and ensure the reliability of system operation.Research the framework system and evaluation index of intelligent distribution network selfhealing control,as well as the mathematical model of distribution network reconfiguration,and analyze the basic process of distribution network reconfiguration.The data calculation and topology structure of the distribution network are analyzed by the forward-backward substitution method,and MATLAB2020a is used in the IEEE33 node distribution system to carry out numerical simulations to calculate the voltage of each node of the distribution network,and the forwardbackward substitution method is used to prove the power flow calculation.validity and rationality.Analyzed particle swarm algorithm and whale algorithm,and made three-step improvements to the traditional whale algorithm.For the problem of uneven initialization of whale swarms,the Sobol sequence is used to generate a uniform distribution of whale swarms;the decreasing inertia weight is added to enhance the search ability of the algorithm;in the processing of the whale outof-bounds mechanism,the updated position of the out-of-bound whales is closer to the current optimal solution near the optimal solution,increasing the number of individuals near the optimal solution,making it easier to obtain the optimal solution.On the IEEE33 node power distribution system,taking the minimization of network loss as the objective function,an example simulation is performed based on MATLAB2020a software.Combined with the evaluation index of self-healing control,a preliminary evaluation was carried out.Through the comprehensive comparison of the three algorithms,the improved whale algorithm has the fastest convergence speed and the most stable voltage fluctuation,thereby improving the overall performance of the distribution network fault recovery and reconstruction,and providing a corresponding reference for the economic operation of the actual power grid.