CAJ | 학술논문

为了最大限度地使风光储联合发电系统的出力与计划出力相匹配，采用提前一日对储能装置进行优化控制的方法。因风光出力具有模糊性，提出了基于模糊相关机会规划的储能优化控制方法。该方法考虑了储能装置的出力和电量约束条件，每个时段的匹配程度用可信度表示，以一日内96个时段总的可信度均值最大为目标，采用基于模糊模拟的遗传算法求解，得到可信度均值最大时不同时段对应的储能充放电功率。算例分析表明，所提出的储能优化控制策略使风光储联合发电系统的总出力可基本跟踪计划出力曲线。
위료최대한도지사풍광저연합발전계통적출력여계화출력상필배，채용제전일일대저능장치진행우화공제적방법。인풍광출력구유모호성，제출료기우모호상관궤회규화적저능우화공제방법。해방법고필료저능장치적출력화전량약속조건，매개시단적필배정도용가신도표시，이일일내96개시단총적가신도균치최대위목표，채용기우모호모의적유전산법구해，득도가신도균치최대시불동시단대응적저능충방전공솔。산례분석표명，소제출적저능우화공제책략사풍광저연합발전계통적총출력가기본근종계화출력곡선。
In order to maximize the match between the output of the hybrid wind/photovoltaic/energy storage system and the scheduling curve,the energy storage device is optimized and controlled one day ahead.Owing to the fuzziness of the wind and photovoltaic output,an optimal control method of energy storage is proposed based on a fuzzy correlated-chance programming theory.This method considers the constraints of the energy storage device including the power output and energy constraints, and the matching degree of each time is represented by the credibility value.So the final goal is to maximize the mean value of the total credibility within a day of 9 6 periods.By using the fuzzy simulation based genetic algorithm,the different periods of energy storage charge and discharge power corresponding to the credibility of the maximum mean value can be obtained. Numerical results analysis shows that the proposed optimal control strategy is valid for maximizing the match between the output of the hybrid wind/photovoltaic/energy storage system and the scheduling curve. <br> This work is supported by Fundamental Research Funds for the Central Universities(No.12MS106).