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

• DOI: 10.1016/j.isci.2024.109305
• Publication Date: 2024-02-23T18:03:40Z
• Authors: Xiang Liao; Jun Ma; Bangli Yin; Beibei Qian; Runjie Lei; Fu B; Chaoshun Li
• Keywords: Energy systems; Science; Q; Energy management; 0211 other engineering and technologies; 02 engineering and technology; Energy Modelling; Article

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 (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, 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.