1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Electric Power Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410007, China;3.State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310007, China

Electricity retailers face multiple uncertainties such as load, spot price and demand response when participating in market transactions. Comprehensively considering multiple uncertainties and modeling according to their characteristics are conducive to improve the effectiveness of electricity procurement and sale decision-making. First, a response optimization model of transferable load under time of use tariff is proposed, which takes into account the satisfaction with electricity cost and electricity consumption comfort. Then, considering the uncertainty of user response behavior, a reducible load response model based on fuzzy membership function and consumer psychology is established. Next, the probability density function and scenario method are used to simulate the load and spot price respectively. Aiming at maximizing the comprehensive utility of expected profit and conditional risk loss, a comprehensive decision-making and risk assessment model of electricity retailers including power procurement portfolio, power sale pricing, reducible load deployment and compensation is constructed. The model is transformed into a deterministic optimization problem for solution by equivalent transformation of fuzzy chance constraints. The influences of risk preference and uncertainties on the decision-making of electricity retailers are simulated and analyzed, and the effectiveness of the model is verified.