基于两阶段鲁棒优化的西南地区微电网经济调度

针对西南地区可再生能源储备丰富的特点，考虑微电网中可再生分布式能源出力和负荷的不确定性对微电网运行调度的影响，搭建了两阶段鲁棒优化经济调度模型，求解系统在极端运行场景下的经济性最优解。模型考虑系统功率平衡和输出功率约束、需求响应负荷约束以及微电网与配电网的交互约束，通过不确定性调节参数处理微电网中的不确定性，调节模型的保守度。随后通过Benders分解算法将模型分为主问题和子问题求解，并采用对偶理论对内层模型进行解耦。最终得出的结果验证了所搭建模型的有效性，为微电网接入西南电网后的调度策略提供参考。

Economic Dispatch of Microgrid in Southwest China Based on Two-Stage Robust Optimization

According to the characteristics of abundant renewable energy reserves in southwest China, considering the influence of the uncertainty of renewable energy output and load on the operation scheduling of micro grid, this paper establishes a two-stage robust optimization economic dispatching model to obtain the economic optimal solution of the system under extreme operating scenarios. The model considers system power balance, output power constraints, demand response load constraints, and interaction constraints between microgrid and distribution network. The uncertainty in microgrid is dealt with through uncertain adjustment parameters, and the conservatism of the model is adjusted. Then Benders decomposition algorithm is used to solve the main problem and sub-problem of the model, and duality theory is used to decouple the inner layer model. Finally, the results verify the effectiveness of the proposed model, and provide a reference for the scheduling strategy after the microgrid is connected to the southwest power grid.