With the development of energy storage application technology in recent years, the installed scale of energy storage has experienced an explosive growth in China's power market. The accurate quantification of commercial value of energy storage projects will help energy storage products or services to participate in the power market competition and promote the sustainable development of energy storage industry. Based on the theory of scope economy and cost benefit, a stochastic model of total factor discharging electricity price is As an efficient integration and management platform for distributed generation, fault section location on an active distribution network is an important issue. Considering the uncertainty of distributed generation output, a fault location model of a distribution network is established based on stochastic chance-constrained programming. The objective function of the model is the evaluation function in the form of probability. This takes into account the constraints of control variable definition domain and fault type limit. A basic imperial competition algorithm is improved to get the binary imperial competition algorithm, and this algorithm is used to design the model problem solving process. The simulation results show that the proposed model is suitable for fault location on an active distribution network with distributed generation and that is grid-connected. The effect of the uncertainty of distributed generation output on location results is taken into account. The improved imperial competition algorithm has better performance in solving the model problem. This work is supported by National Natural Science Foundation of China (No. 61873225), National Key Research Development Program of Hebei Province (No. 20314301D) and Project of State Grid Hebei Electric Power Company Project (No. kj2019-068).