Multi Level Coordinated Control Method for Electronic Devices Based on Improved Genetic Algorithm

In response to the problems of abnormal voltage fluctuations and high harmonic distortion rates in the practice of multi-level coordinated control of electronic devices, an improved genetic algorithm based multi-level coordinated control method for electronic devices is proposed. Construct a multi-level coordinated control model with distribution network electronic equipment as the first level and distributed photovoltaic network electronic equipment as the second level. The objective function comprehensively considers system network loss, electronic equipment voltage stability, and operating costs, and takes into account multiple constraint conditions such as electronic equipment voltage, interactive power, and photovoltaic output, forming a high-dimensional nonlinear optimization problem. Aiming at the problem of solving the model, an improved genetic algorithm is designed, which adopts natural number encoding to represent the control strategy, combines heuristic rules to generate high-quality initial population, introduces adaptive mutation probability and interchangeable mutation operator to enhance global search ability, and uses penalty function method to handle complex constraints. Through iterative solution, multi-level coordinated control of electronic devices based on the improved genetic algorithm is achieved. The experiment takes a typical distributed photovoltaic distribution network as the object, and the simulation results show that the proposed method can effectively suppress voltage fluctuations, control harmonic distortion rate below 1%, and verify its effectiveness and superiority in achieving multi-level coordinated precise control of electronic devices.