负荷网络系统下基于状态空间协同的异质热控负荷集群管控
摘要：为了最大化调动同一区域变电站下有效电气连接的负荷资源，提出了考虑异质热控负荷集群联合控制的负荷网络系统架构。以相同电气连接的端侧负荷构成网络系统的物理感知层；受区域分散性和参数异质性限制，实际发生有效功率转移的负荷资源有限，引入边缘数据中心，解析异质热控负荷物理设备层级的共性，虚拟聚合同一区域变电站下物理分散的负荷，建立多负荷状态空间协同的联合控制模型；云端电网数据中心综合考量热控负荷可调节容量和工作状态，经过两次分配确定最佳任务参与组和每组任务量；以同质聚合组作为基本控制单元，开发边缘侧面向异质负荷集群的协同管控模型，发布统一控制指令，协调端侧负荷参与能源服务。最后以算例验证所提系统和异质热控负荷联合控制模型的有效性。
Abstract:To perform the maximized scheduling of load resources that were effectively connected in the same regional substation, a framework for the load network system, in which the joint control of heterogeneous thermal control load cluster was considered, was proposed. Firstly, the physical perception layer of the network system was constituted by the end-side loads with the same electrical connection. Secondly, restricted by regional dispersibility and parameter heterogeneity, the load resources, in which the effective power transfer practically occurred, were limited, thus, the edge data centre was brought in to analyze the generality of the equipment layer of heterogeneous thermal control load and the physically dispersed loads of the same regional substation were virtually aggregated, and a joint control model of multi-load state space coordination was established. Thirdly, the adjustable capacity and operating state of the thermal control load were comprehensively considered in cloud-end power grid data centre, and after the secondary distribution the optimal task participating group and the task load of each group were determined. The fourth, taking the homogeneous aggregation group was taken as the basic control unit, and a collaborative control model of heterogeneous loads was developed on the edge side to issue the unified control instructions to coordinated the end load participating in energy services. Finally, by means of computing example, the effectiveness of both the proposed system and the heterogeneous load joint control model are verified.
标题：负荷网络系统下基于状态空间协同的异质热控负荷集群管控
英文标题：Management and Control Heterogeneous Thermal Control Load Cluster Based on State Space Coordination in Load Network System
作者：武昕, 尤兰,
关键词：能源服务, 负荷网络系统, 异质负荷, 管控, 状态空间协同, 联合控制,
发表日期：2023-01-16
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