1.Jiangsu Electric Power Trading Center Co.， Ltd.； 2.North China Electric Power University， China； 3.Beijing Kedong Electric Power Control System Co.， Ltd.
Abstract： As China’s novel power system construction is continuously accelerating, the reform on the electricity sales side continues to deepen, and the competition in the retail market has become increasingly fierce. As a market entity with a large scale of electricity consumption, large-scale interactive users need to formulate reasonable strategies when making power purchase decisions to maximize benefits. This paper proposes an optimization model for power purchase decisions based on the improved gray wolf optimization algorithm. Firstly, reasonable design of power purchase decisions is carried out from the aspects of green electricity consumption rights and responsibilities, temporary electricity demand, controllable electricity plans, and minimization of total electricity bills. Then, based on the combination of different retail packages, an improved grey wolf optimization algorithm is constructed to iteratively solve the optimal strategy for the power purchase decision model. The results of the example show the effectiveness and rationality of this power purchase strategy, which can effectively release the dividends of power system reform.
Key words : power purchase strategy；retail package；green power consumption；demand response；gray wolf optimization
