Abstract:Abstract: In order to optimize the network fault management measures, improve the reliability of distribution network power supply, optimize the problem of distribution network fault management measures, take the fault, complaint, and measure implementation space as the constraint conditions, and comprehensive benefit optimization as the objective function, based on the Prato optimal principle and The Well-bing model proposes a governance measure for distribution network optimization equipment based on equipment importance ranking and life cycle. Based on the Well-bing model, the ranking of the importance of the distribution network equipment takes into account the harshness of the environment, the complexity of the network and the importance of the equipment. Unlike the state maintenance, the evaluation of the importance of the equipment based on big data evaluates the underlying basic data of the input. More abundant, the evaluation results are more reasonable and reliable. Based on Prato''s optimal principle, aiming at the comprehensive economical optimality in the whole life cycle of equipment, the differentiated control measures are optimized according to the order of equipment importance, and the control measures are more precise. Based on the above method, the control measures of a heavy overload distribution and its area are optimized. The practical application results verify the effectiveness of the method.