基于模糊相关机会规划的储能优化控制

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。

Optimal Control of Energy Storage Based on Fuzzy Correlated-chance Programming

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 96 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.