RESEARCH ON WIND STORAGE COORDINATION STRATEGY BASED ON PREDICTIVE CONTROL OF OPTIMIZATION EMPOWERMENT MODEL
There is a problem that it is difficult to coordinate the control between multiple objectives of the wind storage system,the selection of weight coefficient has a significant impact on the control effect of multiple objectives.Firstly,this paper constructs a multi-objective function of the wind storage system with the balance of energy storage charging and discharging,the smallest grid-connected fluctuation and the smallest energy storage output,considers the influence of each sub-target weight coefficient on the wind storage system,and proposes a wind storage coordinated operation method that improves the predictive control(MPC)of the whale algorithm(IWOA)optimization model,and uses the combined membership function for satisfaction evaluation to obtain the optimal total control and weight coefficient of hybrid energy storage.Then,the set empirical mode decomposition(ICEEMDAN)is used to decompose the total control quantity of hybrid energy storage,and the Pearson correlation coefficient is used to reconstruct the decomposition component to realize the distribution of hybrid energy storage power.Finally,the simulation of a wind farm data in Xinjiang verifies the effectiveness of the proposed optimization model and the rationality of the power allocation strategy.
wind storage systemMPChybrid energy storageweight coefficientIWOAcombinatorial fuzzy membership function
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