关键词: 抽油机井群, 风光储微网, 配置优化, 启发性算法, 消纳率

Abstract: In order to solve the problems of mismatch between the energy supply side and the energy consumption side and the low absorption rate of new energy caused by the uncertainty of wind and solar power generation and well site power consumption, the optimization model of "wind-solar-storage" multi-energy complementary capacity allocation of the pumping unit well group production well site was studied. The output model of wind turbine photovoltaic panels, the charging and discharging model of storage batteries and the production energy consumption model of pumping unit well groups were established. Taking the total investment cost as the objective function and the renewable energy consumption rate as the constraint condition, an optimization model and a heuristic solution algorithm for wind-solar storage capacity allocation were established. Taking a well site as an example, a wind-solar reservoir capacity allocation scheme for the production well site of the pumping unit well group was designed. The research and case analysis show that the proposed capacity allocation optimization model and heuristic algorithm can realize the capacity allocation optimization of each energy source in the multi-energy microgrid of the pumping unit well group, which can effectively improve the new energy absorption rate on the well site on the basis of considering the system economy, and has good robustness to the output of new energy and the fluctuation of periodic energy consumption.

Key words: Pumping unit well group, Wind-solar storage microgrid, Configuration optimization, Heuristic algorithms, Consumption rate