标题：Optimization of Grid - Connected Wind - Storage Capacity Based on Adaptive Genetic Algorithm
作者：Me Hongkun; Fu Jun; Jia Chunjuan
作者机构：[Me Hongkun; Jia Chunjuan] Shandong Univ, Sch Elect Engn, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 250061, Shandong, Peop 更多
会议名称：China International Conference on Electricity Distribution (CICED)
会议日期：SEP 17-19, 2018
来源：2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED)
关键词：adaptive genetic algorithm; charge and discharge strategy; the; probability of fluctuation over limit; the wind-storage system; wind; power fluctuation
摘要：Grid-connected wind power will bring a series of interference to the power system. How to allocate the wind-storage capacity reasonably in the grid-connected wind-storage power generation system, so as to reduce the power fluctuation , is the key link in the design of wind -storage power generation system. The wind and storage power are modeled jointly. We adopt the adaptive genetic algorithm ,and the improved charging and discharging strategy of energy storage device. Taking the number of fans and batteries as the decision variables ,and the probability of fluctuation over limit as the objective function, considering of battery charge and discharge as constraint function, we can quickly get the capacity configuration , and a year of real-time wind power data shows that the program feasible.