基于分布鲁棒优化的分布式配-微协同日前调度方法

Distributed Coordinated Day-ahead Scheduling Method for Distribution Network and Microgrid Based on Distributionally Robust Optimization

微网是消纳新能源和提高配电网可靠性的重要形态,通常有独立的能量管理系统。含多微网的配电网需要协同各个微网,满足安全经济运行的约束。在进行配-微协同调度的过程中,需要采用考虑新能源不确定性、离散调节设备特性的分布式协同方法。针对以上需求,采用分布鲁棒优化建模的思想对新能源的不确定性进行建模,并基于单纯分解方法-非线性分块高斯-赛德尔方法-增广拉格朗日方法(SDM-GS-ALM)对离散调节设备进行处理。该算法通过凸包对整数变量进行逼近,理论上保证了每次计算问题都是凸问题。在凸问题的基础上,将列与约束生成(C&CG)作为外层算法、SDM-GS-ALM作为内层算法内嵌在C&CG的各阶段,实现配-微协同分布式计算框架的构建。最后,基于北美240节点实际工程系统,采用线路运行状态的聚合等值方法验证所提方法的有效性。

Microgrid is an important form to accommodate renewable energy and improve the reliability of distribution network,which usually has an independent energy management system.Distribution networks with multiple microgrids need to cooperate with each microgrid to meet the constraints of safe and economic operation.It is necessary to adopt the distributed coordinated method considering the uncertainty of renewable energy and the characteristics of discrete adjusting equipment in the coordinated scheduling process between distribution networks and microgrids.To meet the above requirements,the renewable energy uncertainty is modeled by using the idea of the distributionally robust optimization modeling.And the discrete adjusting equipment is processed based on the simplicial decomposition method-nonlinear block Gauss-Seidel method-augmented Lagrange method(SDM-GS-ALM).The algorithm approximates integer variables by convex hull,and theoretically ensures that every computation problem is convex.On the basis of convex problem,column-and-constraint generation(C&CG)as the outer algorithm and SDMGS-ALM as the inner algorithm are embedded in each stage of C&CG,which realizes the construction of distributed coordinated computing framework for distribution networks and microgrids.Finally,based on a real 240-bus engineering system in North America,the aggregate equivalent method of line operation state is used to verify the effectiveness of the proposed method.