The Application of Intelligent Algorithm in the Power Balance Method of Power Distribution Network

The application research of the intelligent algorithm in the power battery balance method of the power distribution network is based on the broad-load elastic characteristics, and proposes a power and electricity balance method that combines the average polyol algorithm of the fuzzy C polyol. This method is classified and aggregated by the broad load in the distribution network, and the elastic characteristics of various loads are fully considered, and the efficient distribution and balance of power and electricity are realized. The system simulation module design covers a wide range of load modeling, fuzzy cluster analysis, and optimization of power distribution, and verification under actual operating data. The simulation results show that the proposed method can effectively improve the operation stability and economy of the distribution network during the distribution of power and power, and at the same time reduce the volatility of peak valley load and enhance the flexibility of load response. Specific data analysis shows that compared with the traditional method, this method has a significant advantage in the accuracy of load prediction and power matching efficiency, and can realize the dynamic balance of the distribution network in a variable load environment.