Day-ahead Economic Dispatch of Wind-photovoltaic-HESS-BESS Integrated Energy System

The objective of this paper is to realize the optimal scheduling of wind-photovoltaic-HESS-BESS integrated energy system for real-time tracking of power grid day-ahead generation schedule. Under the peak-valley electricity price mechanism, combined with the spatial-temporal displacement characteristics of the energy storage system, the comprehensive energy system has the highest income from controlled hydrogen production and hydrogen fuel cell power generation. In this paper, we established the mathematical model of subsystems of wind, photovoltaic, HESS and BESS, and proposed a day-ahead optimal scheduling model aiming at the optimal economic benefits of the power system. Comprehensively considering the constraints of system power balance, operation state and safety state, the paper set the weight coefficient corresponding to the priority output of the HESS and the BESS. The intelligent swarm optimization algorithm was used to solve the system objective function iteratively. Finally, according to the wind data ,photovoltaic data, load data and time-of-use price information of a certain place, the proposed optimal scheduling method was analyzed and verified in Matlab, and the power distribution of each subsystem of the wind-photovoltaic-HESS-BESS integrated energy system was obtained to achieve the optimal economy and real-time tracking of the day-ahead dispatching instructions of the power grid.