Energy-Harvesting Distributed Energy Management for Port Integrated Energy Systems

Abstract

Energy harvesting supports the energy management process by storing surplus electricity in equipped batteries, thereby reducing energy consumption while satisfying high safety requirements. To mitigate renewable-generation fluctuations and address the dynamic characteristics of energy-harvesting batteries, this paper proposes a distributed prescribed-time energy management algorithm for port integrated energy systems (PIESs) considering the dynamic physical constraints of energy-harvesting batteries (DPCEHBs). First, a dynamic model of energy-harvesting batteries is established by considering their heterogeneous characteristics, so as to ensure safe battery operation. Based on this model and the operational characteristics of port energy equipment, a PIES energy management model integrated with DPCEHBs is constructed. Second, a distributed algorithm combining a prescribed-time convergence mechanism with a projection operator is designed, ensuring that the system states converge within a user-preset time while obtaining the optimal solution. Finally, both theoretical analysis and simulation results demonstrate that the proposed algorithm achieves significant advantages in convergence speed and solution accuracy.