Wind storage system lithium iron phosphate battery pack energy storage capacity configuration design method with multi-objective optimization

Abstract

The invention relates to a wind storage system lithium iron phosphate battery pack energy storage capacity configuration design method with multi-objective optimization. Compared with the prior art, the problem that reasonable configuration of the energy storage capacity of a lithium iron phosphate battery pack in a wind storage system is difficult to achieve is solved. The method comprises the following steps: acquiring and preprocessing basic data of the wind storage system; establishing a target function of energy storage capacity configuration of the lithium iron phosphate battery pack; performing multi-objective optimization on the established energy storage capacity configuration mathematical model of the lithium iron phosphate battery pack; and obtaining an energy storage capacity configuration result of the lithium iron phosphate battery pack. According to the method, a weight factor does not need to be set, multiple objective functions such as energy storage capacity investment cost, operation and maintenance cost, wind curtailment cost and standby power generation loss cost are comprehensively considered, an optimal solution is searched for on the Pareto leading edge, and the purpose of reasonable capacity configuration design of the lithium iron phosphate battery pack of the wind storage system is achieved; and the method has the technical characteristics of being scientific, reasonable, good in effect, high in convergence speed, high in applicability and the like.

Description

technical field [0001] The invention relates to the technical field of electric power big data processing, in particular to a design method for energy storage capacity configuration of a lithium iron phosphate battery pack in a wind storage system with multi-objective optimization. Background technique [0002] Wind energy is one of the renewable energy sources with the most commercial potential and vitality, but the random nature of wind power generation poses great challenges to the orderly scheduling and reliable operation of the power grid. With the widespread application of wind power generation systems in AC / DC hybrid microgrids, the intermittent and random characteristics of wind power have gradually intensified the impact on the safe and economical operation of power systems, and it is difficult to achieve this by only relying on energy management on the power generation side or the grid side. Real-time balance of load and power and efficient utilization of renewable...

AI Technical Summary

Problems solved by technology

Although the weight coefficient method can transform complex multi-objective optimization problems into single-objective optimization problems, the physical concept is clear and easy to implement, but its convergence effect is easily affected by the selection of weight coefficients. Once the weight coefficients are selected improperly, the optimization results will fall into the In addition, the reasonable selection of weight factors among multiple optimization objectives is still an open research problem

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