“渔光互补”下的微电网多目标能量优化调度策略

针对“渔光互补”下的微电网系统，为平衡能源“不可能三角”，提出一种多目标优化的能量优化调度方法。首先，基于“渔光互补”背景建立光-蓄-荷微电网系统模型，提出包含经济性、环保性及综合性的多维动态目标函数。其次，考虑麻雀搜索算法存在多样性不足和易陷入局部最优的缺陷，提出基于模拟退火算法及混合策略改进的麻雀搜索算法（SA-ISSA）的微电网能量优化调度策略。最后，针对上海崇明璞叶小镇“渔光互补”工厂化养殖基地进行实例验证，采用SA-ISSA算法对微电网模型求解，获得最优能量调度方案。实验结果表明，SA-ISSA算法在解决微电网能量优化调度问题上具有更好的性能和应用价值，可为“渔光互补”下微电网能量优化调度策略提供参考。

Multi-objective energy optimization scheduling strategy of microgrid under "Fisheries and Light Complementarity"

For the microgrid system under the "fish-light complementarity", a multi-objective optimization energy scheduling method is proposed to balance the "impossible triangle" of energy. Firstly, based on the background of "fish-light complementarity," a light-storage-load microgrid system model is established, and multidimensional dynamic objective functions that include economic, environmental, and comprehensive aspects are proposed. Secondly, considering the shortcomings of the sparrow search algorithm, such as insufficient diversity and easy trapping in local optima, an improved sparrow search algorithm (SA-ISSA) based on simulated annealing algorithm and hybrid strategy is proposed for microgrid energy optimization scheduling. Finally, a case study is conducted on the "fish-light complementarity" factory breeding base in Puyue Town, Chongming, Shanghai, where the SA-ISSA algorithm is applied to solve the microgrid model and obtain the optimal energy scheduling scheme. The experimental results demonstrate that the SA-ISSA algorithm performs better and has higher application value in solving the microgrid energy optimization scheduling problem, providing reference for energy optimization scheduling strategies in microgrid systems under the "fish-light complementarity".