计及云边协同的综合能源系统双层优化

Bi-level Optimization for Integrated Energy System Considering Cloud-Edge Collaboration

多区域互联的综合能源系统具备两大优势:区域内部多能互补与区域之间能量互济。本文针对综合能源系统设计了一种云边协同调控方法以实现这两大优势。首先,本文设计了能量管理云平台-边缘控制器双层架构分别统筹子区域内和子区域间的能量流,子区域以预测控制方法实现边缘控制器内部能量的实时调控。其次,基于所提双层架构设计了包括集中调控层—分布协同层的双层能量优化模型,集中调控层负责区域间能量互济以降低整个系统对外部配电网的能量需求,提高系统运行经济性;分布协同层负责控制区域内可控机组以降低实际运行工况与日前调度计划值的偏差,降低系统运行波动性。然后,研究了交替方向乘子法求解所提双层能量优化模型的具体步骤。最后,仿真验证了所提云边协同能量调控方法对多区域互联综合能源系统经济性与稳定性的改善作用。

Multi-area interconnected integrated energy systems offer two main advantages:intra-regional energy complementarity and inter-regional energy exchange.This paper presents a cloud-edge collaborative control method designed for integrated energy systems to realize these two advantages.Firstly,an energy management cloud platform and edge controllers are designed with a two-tier architecture to coordinate energy flows within and between sub-regions.Within each edge controller,real-time control of energy is achieved using predictive control methods.Secondly,based on this two-tier architecture,a duallayer energy optimization model is proposed,consisting of a centralized control layer and a distributed coordination layer.The centralized control layer is responsible for inter-regional energy exchange to reduce the system's reliance on external power grids and improve overall operational efficiency.The distributed coordination layer is responsible for controlling controllable units within each region to minimize deviations between actual operational conditions and day-ahead scheduling plans,thus reducing system operation volatility.Moreover,the specific steps for solving the proposed dual-layer energy optimization model using the alternating direction multiplier method are studied.Finally,simulation results validate the effectiveness of the proposed cloudedge collaborative energy control method in enhancing the economic and operational stability of multi-area interconnected integrated energy systems.