Many-objective bi-level energy scheduling method for integrated energy stations based on power allocation strategy

Many-objective bi-level energy scheduling method for integrated energy stations based on power allocation strategy

Blog Article

Summary: The integrated energy station of new energy vehicle hydrogenation/charging/power exchange is proposed, which also includes hydrogen production, hydrogen storage, electricity sales to users and the grid (WPIES).To address the efficiency of renewable energy use, this paper proposes a future value competition strategy for wind and photovoltaic (PV) allocation based on goal optimization Heart Rate Wire Harness (FVCS).In order to better realize the distribution of wind power/PV in the integrated energy station and improve the energy utilization efficiency of the integrated energy station, a two-layer optimization model of FVCS-WPIES is proposed, in which the upper layer model aims to maximize the expected income.The goals of the lower-level model are to maximize total profit, Plush minimize battery losses, and minimize pollutant emissions.The model also considers the hydrogen power constraint and the upper-level model penalty.

The comparison results show that the Pareto solution set is superior to the traditional model.