基于机会约束的多微网合作调度模型

Cooperative dispatch model of multi-microgrid based on chance constrained programming

考虑微网运行过程中风电和光伏输出功率的不确定性以及经济成本、环境成本等运行指标,文章首先建立基于机会约束规划的微网非合作调度模型。在此基础上,提出了以微网联盟总成本最小为目标的多微网合作调度模型。然后,采用与蒙特卡罗模拟相结合的遗传算法求解模型,并运用Shapley值法对合作收益进行分配。最后通过算例分析了不同置信水平时微网非合作调度方式以及合作调度方式下各微网调度结果。结果表明:与非合作调度方式相比,合作调度方式下各微网成本均有所降低,并且在两种调度方式下,微网的运行成本均会随着置信水平的降低而降低,从而验证了所提出的合作模型的经济性。

Considering the uncertainties of the wind power and photovoltaic power generation in the operation of micro-grid and the operational indicators such as economic costs and environmental costs,the non-cooperative dispatch model is firstly established based on chance constrained programming.On this basis,the cooperative scheduling model of multi-microgrid is proposed,which aims at minimizing the total cost of the micro-grid alliance.Afterwards,a genetic algorithm based on Monte Carlo simulation is used to solve the models,and the Shapley value method is used to distribute the cooperative benefits.Finally,the dispatch results of micro-grid with non-cooperative scheduling and cooperative scheduling are analyzed under different confidence levels through the examples.The results show that the cost of each micro-grid is reduced with cooperative scheduling compared with non-cooperative scheduling,and the operating cost of the micro-grid will all continue to decrease under two kinds of scheduling methods,as the confidence level decreases,which proves the economical benefits of the cooperative model.