Round-trip information timeliness based energy storage control for cyber-physical integrated multi-energy system

Abstract

The cyber–physical integrated multi-energy system (MES) with energy storage plays an essential supporting role in achieving low-carbon operation of distribution grid. Distributed consensus optimization is the core principle to facilitate cost-efficient operation of MES under the volatility of renewable energy output and load. However, the economic control of cyber–physical integrated MES neglects the close coupling between the physical-domain control stability and cyber-domain information interaction timeliness. Meanwhile, there lacks a timeliness model reflecting the timeliness loss in the round-trip information interaction among multi-energy subsystems, and a consensus optimization method considering the round-trip information timeliness and multi-energy subsystem influences, thereby weaking control stability and convergence performance. Thus, a round-trip timeliness model for cyber-domain MES is developed, and a cyber–physical integrated MES control problem is constructed to minimize the total control cost by jointly optimizing cyber-domain interaction sequence, physical-domain consensus variable weights, and multi-energy subsystem output power. A round-trip timeliness minimization-driven control algorithm for cyber–physical integrated MES is proposed. In the offline phase, K-means and radial basis function are used to fit the influence of MESs. In the online phase, a low-complexity externality matching algorithm is proposed to optimize the interaction sequence and adjust the consensus variable update process to improve information timeliness and control economy. Simulation results demonstrate that the proposed algorithm has superior performances in economic control of MES and convergence speed.