A Stochastic Resource Management Scheme for Multi-Energy Group Control System

The interaction between various energy supply systems (cold, heat, electricity, gas, etc.) is becoming more tightly coupled as social economy and technology advance. Multi-energy systems are ineffective because different types of energy systems run independently. In order to protect the data privacy of each sub-system, this research suggests an ideal resource management framework for a multi-energy group control system. The energy hub (EH) paradigm is first suggested. When deploying EHs, the physical constraints of various energy systems are taken into account. Through scenario-based stochastic programming, the uncertainties of renewable energy are considered. According to the leader-follower relationship between multi-energy group control system operators and energy hub operators (EHOs), Benders decomposition is applied to decentralize the decision-making process. Finally, an example is given to illustrate the effectiveness of the proposed model and algorithm.