基于机会约束规划的混合储能优化配置方法

微电源的容量配置问题直接关系微网的电能质量和经济性。考虑到风电的随机性,提出了基于机会约束规划的混合储能容量配置方法。该方法考虑了混合储能装置的功率出力和荷电状态约束,以装置成本最低为目标,采用遗传算法求解,得到风电输出功率波动不超过某一区间的置信度与混合储能最佳配置成本间的关系,从而为配置混合储能容量时为在电能质量和经济性间取得适度折中提供了定量依据。此外,该方法针对风电波动时间特性对混合储能装置进行功率分配,依据荷电状态限制设计了模糊控制策略,修正储能装置的功率参考值,以达到延长使用寿命的效果。仿真结果验证了该方法的有效性。

A Chance Constrained Programming Based Optimal Configuration Method of Hybrid Energy Storage System

The capacity configuration of micro-generation sources is directly related to the power quality of microgrid and its economy.Considering the randomness of wind power generation,a chance-constrained programming based capacity configuration method and a corresponding model for hybrid energy storage system(HESS),in which the constraints of both power output of an HESS and state of charge(SOC) are considered and the minimum cost of HESS is taken as objective,are proposed.The proposed model is solved by genetic algorithm and the relation between the confidence degree of wind power fluctuation that does not overstep a certain interval and the cost of optimal configuration of HESS is obtained,thus a quantitative basis to appropriately compromise between power quality and economy is provided while the capacity of an HESS is configured.Besides,in allusion to the time characteristic of wind power fluctuation the power of the HESS is allocated,and according to the restraint of SOC a fuzzy control strategy is designed to modify the reference value of power of HESS to achieve the purpose of increasing the service life of HESS.The effectiveness of the proposed method is verified by simulation results.