基于改进的人工蜂群算法的微电网储能系统容量优化配置

由于风光能源具有间歇性和波动性的特点，对电网的电能质量造成了不良影响，因此提出了一种微电网的储能容量优化配置方法。首先，建立以用户用电费用最低、储能能量损失最小及风光能源的波动性最小为目标的微电网系统模型；然后，提出了一种改进的人工蜂群算法求解模型，通过不同的算法对无储能、单储能及混合储能3种储能方案模型进行求解分析；最后，采用熵权法找出适用于微电网的最佳储能方案。实验结果表明，改进的人工蜂群算法能够求解微电网模型且不易陷入局部最优，并通过熵权法得出了蓄电池和超级电容的组合适合作为微电网储能系统的结论。

Optimization of Microgrid Energy Storage System Capacity Based on Improved Artifical Bee Colony Algorithm

The intermittent and fluctuating characteristics of wind and solar energy causes adverse effects on the power quality of the power grid,so this paper proposes a method for the optimal configuration of the energy storage capacity of the micro grid.Firstly,a microgrid system model with the lowest user electricity cost,the smallest energy loss from energy storage,and the smallest volatility of wind and solar energy is established.Then an improved artificial bee colony algorithm solution model is proposed.Three energy storage scheme models of no energy storage,single energy storage and hybrid energy storage are solved and analyzed.Finally,the entropy weight method is used to find the best energy storage scheme for the microgrid.The experimental results show that the improved artificial bee colony algorithm can solve the microgrid model and is not easy to fall into the local optimum,and the combination of battery and supercapacitor is obtained through the entropy weight method as the microgrid energy storage system.