Modified NSWOA Algorithm-based Optimization of Energy Storage Capacity for Microgrids Containing Wind and PV Generations
In order to reduce comprehensive cost of wind and solar storage microgrids,and further improve consumption rate of new energy and matching degree of source and load,this paper studies the optimization method of energy storage capacity based on a modified whale algorithm.First unlike the traditional algorithm which only searches for a single objec-tive,the algorithm in this paper is modified to search for the three objectives.Second the whale algorithm is combined with the non-dominated algorithm to avoid aggregation of population selection and increase optimization accuracy.Finally logistic chaos mapping is introduced into whale position searching,which is corrected by controlling the parameters in the process of updating position,and accelerates optimization speed and boosts optimization performance.The algorithm has been verified rational and superior by analyzing the actual data of microgrid in a certain place.
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