基于MOPSO算法的孤岛微电网优化调度

Optimization scheduling of island micro-grid based on MOPSO algorithm

针对微电网微电源和需求侧负荷不确定性,意在使孤岛微电网运行成本最低,同时风光消纳比例最大,建立了孤岛模式的微电网多目标优化调度模型。构建了含风光发电和储能等微电源模型,并采用多目标MOPSO算法对调度模型进行求解。以某地区典型日孤岛微电网24h系统为算例,算例结果表明该调度方案可减少孤岛微电网成本,同时提高可再生能源风光发电的消纳能力。

Because of uncertainty of the source and demanding load in the micro-grid,it aims to maximize the wind-solar consumption and minimize the cost of the micro-grid,and it builds up multi-objective optimization dispatching model of the island micro-grid.Build up series of micro-power models including wind-solar power generation and energy storage and so on.At the same time,use the MOPSO algorithm to solve scheduling model and uses a typical daily micro-grid system in a certain region as an example with a 24hcycle.Finally,the result of the example shows that the scheduling scheme can reduce the cost of the micro-grid,improve the absorption capacity of renewable energy.