基于鲁棒优化的主动配电网分布式电源优化配置方法

为优化配置作为分布式发电的有效管理平台的主动配电网,针对含分布式发电并网的主动配电网优化配置问题,给出一种基于鲁棒优化理论的优化配置模型。首先,以综合配置成本最小为目标函数,计及功率平衡约束、可控微源运行约束、旋转备用约束等必要约束条件,建立主动配电网优化配置模型。针对模型中的不确定性,采用鲁棒优化框架将分布式光伏和风电区间模型中的不确定变量进行消除,再采用线性对偶理论和拉格朗日求导法将其转化为确定性的优化配置模型。仿真算例表明,主动配电网相比于传统配电网具有更高的运行经济性和可靠性。同时,所建立的模型能够计及风光出力不确定性对配置结果的影响,从而适用于主动配电网优化配置方案制定。

Distributed generation optimal configuration method for active distribution networks based on robust optimization

To fulfill the optimal allocation of an active distribution network to act as an effective management platform for distributed generation, an optimal allocation model based on robust optimization theory is established. First, by taking the comprehensive allocation cost as the objective function, and considering power balance constraints, controllable micro-source operation constraints, rotating reserve constraints and other necessary constraints, an active distribution network optimal allocation model is established. In view of the uncertainties in the model, a robust optimization framework is adopted to eliminate the uncertainties based on the distributed photovoltaic and wind power interval models. Linear duality theory and the Lagrange derivative method are used to transform the uncertainties into a deterministic optimal allocation model. The simulation example shows that the active distribution network has higher operational economy and reliability than the traditional distribution network. The model established in this paper can take into account the impact of uncertainties of wind and solar output on the configuration results, and so it can be applied to the formulation of the optimal configuration scheme of an active distribution network.This work is supported by National Key Research and Development Program of China (No. 2018YFB2100100).