دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Many-objective bi-level energy scheduling method for integrated energy stations based on power allocation strategy
المؤلفون: Xiang Liao, Jun Ma, Bangli Yin, Beibei Qian, Runjie Lei, Fu B, Chaoshun Li
المصدر: iScience, Vol 27, Iss 3, Pp 109305- (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Science
مصطلحات موضوعية: Energy systems, Energy management, Energy Modelling, Science
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2589-0042
العلاقة: http://www.sciencedirect.com/science/article/pii/S2589004224005261Test; https://doaj.org/toc/2589-0042Test
DOI: 10.1016/j.isci.2024.109305
الوصول الحر: https://doaj.org/article/00e69f772cc74c978ca8144908cad073Test
رقم الانضمام: edsdoj.00e69f772cc74c978ca8144908cad073
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:25890042
DOI:10.1016/j.isci.2024.109305