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Many-objective bi-level energy scheduling method for integrated energy stations based on power allocation strategy
oleh: Xiang Liao, Jun Ma, Bangli Yin, Beibei Qian, Runjie Lei, Fu B, Chaoshun Li
| Format: | Article |
|---|---|
| Diterbitkan: | Elsevier 2024-03-01 |
Deskripsi
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 (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.