基于弱鲁棒优化的微能源网调度方法

Dispatching Method of Micro-energy Grid Based on Light Robust Optimization

微能源网中的新能源和负荷存在不确定性,给系统安全运行带来挑战。鲁棒优化常用于处理不确定性问题,能够保证微能源网的安全性,但具有保守性强的缺点。而弱鲁棒优化能够有效改善传统鲁棒优化的保守度。文中对典型的微能源网进行数学建模,并构建了基于弱鲁棒优化的微能源网调度模型。模型计及可再生能源出力和负荷的不确定性,在能源供求关系中引入表征能源功率缺额的松弛变量,以微能源网的综合利润与惩罚项之差最大为目标,并通过对等式转化理论将不确定性约束转化为确定性约束,使其可通过常规优化方法进行求解。最后通过仿真算例进行验算,结果表明所提模型不仅可以改善调度保守性,提高调度经济性,而且可以适应不同决策者的调度要求。

The new energy and load in the micro-energy grid are uncertain,which brings challenges to the system operation security.Robust optimization is often applied to deal with uncertain problems,which can ensure the safety of micro-energy grid,but it has the disadvantage of being strongly conservative.The light robust optimization can effectively reduce the conservativeness of traditional robust optimization.The mathematical model of a typical micro-energy grid is conducted,and a dispatching model of micro-energy grid is constructed based on light robust optimization.Considering the uncertainty of the renewable energy output and load,the dispatching model aims at the maximum difference between comprehensive profit and penalty term after the introduction of slack variables representing energy power shortages in the constraint of energy supply and demand,and transforms the uncertain constraints into deterministic constraints through the theory of counterpart transformation.The model can be solved by conventional optimization methods.Finally,the simulation cases are carried out.The results show that the proposed dispatching method can not only reduce the conservativeness and improve the economy of dispatch schemes,but also meet the dispatching requirements of different decision-makers.