MULTI-TIME SCALE OPTIMIZATION SCHEDULING OF COMBINED SYSTEM OF NEW ENERGY POWER GENERATION AND PUMPED STORAGE POWER STATION BASED ON NSGA-ⅡSERIAL PATTERN SEARCH
Aiming at the joint power generation system of new energy generation and pumped storage power station,a multi-time scale optimization scheduling strategy and a fast non-dominated sorting genetic algorithm with pattern search(NSGA-Ⅱ-PS)combining NSGA-Ⅱalgorithm and pattern search algorithm are proposed in this paper.The objective function and constraints are set respectively for different time scales,and the advantages and disadvantages of NSGA-Ⅱand NSGA-Ⅱ-PS algorithm in solving the scheduling problem are compared.Optimize the scheduling of the joint system on the day-ahead and intra-day time scales,and make scheduling plans.The results show that the multi-time scale optimization scheduling of the combined system of new energy generation and pumped storage can be realized on the basis of high proportion of new energy consumption in the day-ahead and intra-day scale,and the economic and safe operation of the combined system can be realized.
new energypumped storage power plantsmultiobjective optimizationschedulingfast non-dominated genetic algorithm
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