Abstract
Network reconfiguration is an important method to optimize the operation of the active distribution system. It can achieve the goal of reducing network loss and improving power quality by changing the state of network switch without requiring additional equipment investment. The randomness of photovoltaic power generation makes the network reconfiguration of the distribution network need to consider the characteristics of photovoltaic power generation for dynamic optimization. In this paper, a photovoltaic power generation prediction method based on the combination of similar day BP neural network is proposed. The dynamic reconfiguration of distribution network is carried out with the minimum network loss and minimum voltage offset as the objective function, which is optimized by genetic algorithm. Finally, the effectiveness of the proposed model is verified by taking the improved IEEE 33 bus system as an example.
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