考虑风电消纳的热电联供型微网日前鲁棒经济调度

针对热电联供型微网中的风电不确定性,文中构建双层鲁棒模型从而得到最恶劣风电出力场景下的微网最优日前调度方案。模型考虑了可控机组运行成本、功率交互成本,并将弃置的风电功率以惩罚的形式引入目标以提高微网对风电的消纳能力。鉴于模型内外层之间是相互影响的,文中将原问题分解为日前计划调度主问题以及计及风电出力不确定性的执行调控子问题从而进行求解。在求解过程中,利用线性优化强对偶理论对max-min结构的子问题进行转化,并引入BigM法将所得对偶模型线性化,然后采用列约束生成算法对主问题和子问题进行交互迭代从而获得最优解。最后,通过算例验证了所提模型的有效性。

Robust Day-ahead Economic Dispatch of Microgrid with Combined Heat and Power System Considering Wind Power Accommodation

To address the uncertainty of wind power in the microgrid with the combined heat and power system, a bi-level robust model is presented to obtain the optimal scheduling scheme in the worst-case scenario. The objective function inside the model is designed by considering the costs of controllable generators and electricity purchasing(selling). To improve the ability of microgrid to accommodate the wind power, the abandoned wind curtailment cost is introduced into the objective function. Considering that the inner and outer layers of model interact with each other, the primal problem is decomposed into the day-ahead scheduling problem and the sub-problem which considers the uncertainty of wind power. In the solving process, the strong duality theorem is employed to transform the sub-problem with max-min structure into an equivalent problem. In addition, the bilinear terms in the dual problem is converted into linear terms by using the Big-M method. Finally, the problem is solved by the column and constraint generation(C&CG)algorithm. Experiment results indicate the effectiveness of the proposed method.