This book delves into modeling, multi-cluster interactive dispatch, and multi-energy coordination in distributed energy grid clusters, focusing on the integrated operation and scheduling of electricity, heating, and gas systems. It introduces innovative methods such as physical information fusion, multi-energy system modeling, and cloud-edge collaborative computing. Through numerous case studies and simulations, it validates strategies like hierarchical control, rolling optimization, and real-time adjustments. The book also explores market trading strategies using game theory and competitive pricing models. It concludes with an analysis of the technological trends and challenges facing distributed energy networks, serving as a reference for researchers, engineers, and graduate students in the energy internet field.
This book delves into modeling, multi-cluster interactive dispatch, and multi-energy coordination in distributed energy grid clusters, focusing on the integrated operation and scheduling of electricity, heating, and gas systems. It introduces innovative methods such as physical information fusion, multi-energy system modeling, and cloud-edge collaborative computing. Through numerous case studies and simulations, it validates strategies like hierarchical control, rolling optimization, and real-time adjustments. The book also explores market trading strategies using game theory and competitive pricing models. It concludes with an analysis of the technological trends and challenges facing distributed energy networks, serving as a reference for researchers, engineers, and graduate students in the energy internet field.
Tianguang Lu
Distributed energy grid clusters Multi-energy collaborative optimization Cooperative regulation Sub-operation modeling Game theory Energy market transaction Hierarchical control Rolling optimization Real-time data processing Cloud-edge computing