针对风/光/柴/储独立混合微电网中分布式电源容量配置问题，以系统供电可靠性作为约束条件，构建考虑微电网经济性、环保性和能源利用效率的多目标优化模型。引入熵理论确定多目标函数各项指标的权重系数，有效地摆脱权重取值的主观性。采用自适应迭代步长、自适应变异策略和搜索空间缩减等措施来改善仿电磁学算法(Electromagnetism-like mechanism，ELM)的收敛性。基于改进的循环充放(ICC)控制策略，用改进的仿电磁学算法求解配置模型。以广西涠洲岛为背景进行算例分析，验证模型和算法的有效性。结果表明改进的 ELM 算法能有效地解决微电网规划这类多约束、计算量大的组合优化问题，并且在全局最优搜索能力和寻优速度方面具有明显优势。%Aiming at the optimal size of distributed generation in isolated hybrid microgrid that consists of wind/ photovoltaic/diesel/battery, using the reliability of power supply as the constraint condition, this paper constructs a microgrid multi-objective optimal model which takes economy, environmental protection and energy efficiency into consideration. The entropy theory is introduced to determine the weight coefficient of multi-objective function to get rid of the subjectivity of weight value effectively. Moreover, self-adaptive steps, adaptive variation, reduction of search space and other measures are adopted to improve the convergence of the electromagnetism-like mechanism (ELM). Based on improved cycle charge (ICC) control strategy, the improved ELM is used to solve the optimal model. Taking Guangxi Weizhou Island as the background for a case study, the effectiveness of the model and algorithm is verified. The results of simulation show that such optimization problems with a lot of constraints and huge computation, such as microgrid planning, can be solved by this algorithm. In addition, the proposed algorithm has obvious advantages in global optimal capability and the speed of optimization.
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