基于多属性决策的微电网多目标优化运行

微电网的优化运行能够有效的减少微电网的运行成本,提高能源的利用效率。对微电网多目标能量优化模型的求解大多采用将多目标优化问题转化成单目标优化问题的方法。文中针对并网运行的微电网,考虑了需求侧响应,建立了微电网多目标动态优化模型。对于模型的求解,首先运用层次分析法确定各个目标的权重,然后利用非占主元排序遗传算法(NSGA-Ⅱ)对重要的两个目标函数进行优化,多次优化并取每次优化得到的最优的解作为候选方案,然后对候选方案的目标函数值进行评价,再利用基于证据推理的多属性决策方法确定最终方案。仿真结果验证了文中所提方法的有效性,为微电网多目标优化运行问题的求解提供了一种新的思路。

Multi-objective optimization of microgrid operation based on multiple attribute decision making

The optimal operation of micro-grid can effectively reduce the operating cost and improve the efficiency of energy utilization.Most of the multi-objective energy optimization models of micro-grid are solved by transforming the multi-objective problems into single objective problems.Considering the demand response,the dynamic optimization model was established for the grid connected micro-grid.In order to solve the multi-objective optimization model of micro-grid,the weight of each objective was determined firstly by using analytic hierarchy process.Then,the two important objectives were optimized by using the non-dominant sorting genetic algorithm (NSGA-Ⅱ).The optimal solutions obtained by optimizations were taken as the candidate solutions.Then,the objective function values of the candidate solutions were evaluated.The final solution was determined by the method of multiple attribute decision making based on evidence reasoning.The simulation results show the effectiveness of the proposed method,which provides a new way to solve the problem of multi-objective optimal operation of micro-grid.