The MVD (medium voltage distribution) network is the link connecting users in the power system. The MVD network has many lines and users, and traditional optimization methods are difficult to ensure the economy of reactive power compensation and reduce distribution network (DN) losses at the same time. This article constructed a MVD system based on wireless networks and optimizes it through multi-objective genetic algorithm (MOGA), considering the compensation economy of the DN and ensuring power supply quality. This article used a large number of wireless sensor devices to collect DN data, and transmits the collected information to the control center through Zigbee wireless technology. MOGA is used for optimization. This article used genetic algorithms to generate initial populations and continuously generate new offspring populations through crossover and mutation, in order to improve the fitness and quality of population reconciliation. This paper tested the IEEE (Institute of Electrical and Electronics Engineers) 33 node DN model. The unit investment benefit and DN loss after multi-objective genetic optimization in the IEEE33 node DN model were 0.67 yuan and 210kW, respectively; the unit investment benefit and DN loss optimized by traditional optimization algorithms were 0.58 yuan and 222kW, respectively. Multi objective genetic optimization of MVD systems based on wireless networks can simultaneously consider the economy of reactive power optimization and DN losses, meeting the optimization requirements of MVD systems.
