基于气象分型改进构造不确定集的多微网低碳鲁棒经济调度

Robust Low-Carbon Economic Dispatch of Multiple Microgrids Based on Improved Uncertainty Set of Meteorological Classification

在新型电力系统背景下,研究计及风电出力不确定性的多微网低碳调度策略,有利于降低风电出力不确定性对调度策略低碳性和经济性的影响。因此,提出一种计及碳交易成本并基于气象聚类分组生成改进风电不确定集的多微网可调鲁棒低碳经济调度模型。首先,利用最小冗余最大相关性特征选择技术、CURE层次聚类算法和条件生成对抗网络建立气象特征聚类下的风电出力生成模型,并结合概率分布模糊集,构建不同气象类型下的风电出力不确定集。其次,为实现微网低碳经济运行,将阶梯式碳交易机制引入微网,同时考虑到风电出力不确定性对微网调度的影响,建立基于改进风电不确定集合的微网间电能互济两阶段可调鲁棒模型。再次,采用交替方向乘子法嵌套列约束生成算法交替迭代,实现对多微网电能互济调度模型求解。最后,通过算例验证所提模型可提升风电出力不确定描述精度,同时提高微网运行经济性和低碳性。

With the background of the new power system,studying the multi-microgrid(MMG)low-carbon scheduling strategy that considers the uncertainty of wind power is conducive to reducing the impact of the uncertainty of wind power on the low-carbon and economic dispatching strategy.Therefore,considering the carbon trading mechanism,an MMG adjustable robust low-carbon economic scheduling model is proposed,which employs meteorological clustering and grouping generation to improve the uncertainty set of wind power.First,the wind power output generation model based on meteorological feature clustering is established by using minimum redundancy and maximum correlation feature selection technology,the CURE algorithm,and a conditional generative adversarial network.Using the fuzzy set of the probability distribution,the uncertainty set of the wind power output under different meteorological types is constructed.Second,to realize the low-carbon economic operation of the microgrid,the stepped carbon trading mechanism is introduced into the microgrid.Meanwhile,considering the impact of wind power uncertainty,a two-stage adjustable robust optimization model based on improved wind power uncertainty is established.Third,the ADMM nested C&CG algorithm is employed to solve the MMG dispatch model.Finally,examples are analyzed to verify that the proposed model can increase the accuracy of wind power uncertainty description and improve the economic and low-carbon performance of microgrid operation.