含热电联产机组的分布式能源集群动态划分方法

集群划分是实现分布式能源网络优化调控的基础环节。文中提出含热电联产机组的分布式能源网络集群划分方法。首先,提出综合考虑结构性与功能性的集群划分指标体系:结构上采用计及电热网络特性的模块度指标,用以刻画不同网络节点间的联系强度;功能上引入供需匹配度指标和热电耦合度指标,反映单一能源网络集群内部供应和实际需求间、源侧耦合出力和实际用能间的平衡程度。其次,依托集群划分指标体系设计电网和热网2个层面的优化目标作为集群划分的依据,采用Louvain社区检测算法生成以热电联产为中心的电热双重集群。最后,通过实际算例验证了所提方法的有效性。

Dynamic Partition Method for Distributed Energy Cluster with Combined Heat and Power Unit

The cluster partition is the basic part of realizing the optimal dispatching of distributed energy networks. A cluster partition method for distributed energy networks with combined heat and power unit is proposed in this paper. Firstly, a cluster partition index system considering the structural and functional properties is proposed. The modular index that takes into account the characteristics of electric and heat network is used on the structural property to describe the connection strength between different network nodes. On the functional property, the indices of supply-demand matching degree and heat-electricity coupling degree are introduced to reflect the balance degree between the internal supply and actual demand as well as source-side coupling output and actual consumption in a single energy network cluster. Secondly, based on the cluster partition index system, the optimization objectives at the two levels of the power grid and heat network are designed as the basis for cluster partition. Thus, an electricity-heat cluster centered on combined heat and power generation is formed by Louvain community detection algorithm. Finally, the effectiveness of the proposed method is verified through the case study.