دورية أكاديمية
Research on Interval Optimal Scheduling Strategy of Virtual Power Plants with Electric Vehicles
العنوان: | Research on Interval Optimal Scheduling Strategy of Virtual Power Plants with Electric Vehicles |
---|---|
المؤلفون: | Taoyong Li, Jinjin An, Dongmei Zhang, Xiaohong Diao, Changliang Liu, Weiliang Liu |
المصدر: | World Electric Vehicle Journal, Vol 13, Iss 12, p 235 (2022) |
بيانات النشر: | MDPI AG, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Electrical engineering. Electronics. Nuclear engineering LCC:Transportation engineering |
مصطلحات موضوعية: | virtual power plant, electric vehicle, interval optimization, NSGA-II algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280 |
الوصف: | The operation process of a virtual power plant is affected by many uncertainties, and how to ensure its comprehensive operation quality is a pressing challenge. For the virtual power plant incorporating electric vehicles, the interval number is used to describe the stochastic fluctuation of system uncertainties, and the optimization objectives are to (1) improve the operating economy, environmental protection, and grid load smoothing, (2) build a multi-objective interval optimal dispatching model considering the constraints of power balance and equipment operating characteristics, (3) solve the Pareto solution set by adopting the improved NSGA-II algorithm incorporating extreme scenario analysis, and (4) determine the optimal dispatching solution by the hierarchical analysis method. The median values of the determined optimal target intervals are 6456.11 yuan, 9860.01 kg, and 2402.56 kW. The algorithm shows that the proposed optimal dispatching strategy can effectively improve the economy of the virtual power plant and ensure that environmental protection and grid load smoothing requirements are met. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2032-6653 |
Relation: | https://www.mdpi.com/2032-6653/13/12/235; https://doaj.org/toc/2032-6653 |
DOI: | 10.3390/wevj13120235 |
URL الوصول: | https://doaj.org/article/1d6372895dd14d62ab51c60c293e52af |
رقم الأكسشن: | edsdoj.1d6372895dd14d62ab51c60c293e52af |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20326653 |
---|---|
DOI: | 10.3390/wevj13120235 |