Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс:
http://elar.urfu.ru/handle/10995/90412
Название: | A Framework for Profit Maximization in a Grid-Connected Microgrid with Hybrid Resources Using a Novel Rule Base-BAT Algorithm |
Авторы: | Elgamal, M. Korovkin, N. Elmitwally, A. Menaem, A. A. Chen, Z. |
Дата публикации: | 2020 |
Издатель: | Institute of Electrical and Electronics Engineers Inc. |
Библиографическое описание: | A Framework for Profit Maximization in a Grid-Connected Microgrid with Hybrid Resources Using a Novel Rule Base-BAT Algorithm / M. Elgamal, N. Korovkin, A. Elmitwally, A. A. Menaem, et al. . — DOI 10.1109/ACCESS.2020.2987765 // IEEE Access. — 2020. — Iss. 8. — P. 71460-71474. |
Аннотация: | In this paper, an energy management system (EMS) is proposed for optimal operation of a microgrid (MG). Dispersed photovoltaic arrays (PVs) and wind turbine generators (WTs) as renewable energy sources (RES) supply a major part of the network demanded energy. Also, an energy storage system (ESS), a micro-turbine unit (MT), and a fuel cell unit (FC) are integrated. The uncertainty and stochastic nature of the network load and RES data are treated via probabilistic modeling and scenario-selection approach. The predicted day-ahead data of the most diverse hourly scenarios are entered into the proposed EMS to determine the active and reactive power (P-Q) participations of local distributed resources. Likewise, it specifies the discharging/charging power and state of the ESS in addition to the exchanged active/reactive power amounts with the main network. The main goal is to maximize the profit of the secondary grid while satisfying all technical constraints. In the proposed EMS, the day-ahead energy management is developed as a comprehensive optimization problem. Moreover, the paper proposes novel modifications to improve the BAT optimization technique. The optimization problem of the energy management in the microgrid is implemented using a new integrated rule base-improved BAT method. Furthermore, the proposed EMS competence is proven by comparing its performance to recent literature. © 2013 IEEE. |
Ключевые слова: | ENERGY MANAGEMENT GRID-TIED MICROGRID OPTIMIZATION RENEWABLE ENERGY RESOURCES DIGITAL STORAGE ENERGY MANAGEMENT FUEL CELLS FUEL STORAGE MICROGRIDS OPTIMIZATION PHOTOVOLTAIC CELLS PROFITABILITY RENEWABLE ENERGY RESOURCES STOCHASTIC SYSTEMS UNCERTAINTY ANALYSIS ACTIVE AND REACTIVE POWER COMPREHENSIVE OPTIMIZATIONS ENERGY STORAGE SYSTEMS OPTIMIZATION PROBLEMS OPTIMIZATION TECHNIQUES PROBABILISTIC MODELING RENEWABLE ENERGY SOURCE TECHNICAL CONSTRAINTS ENERGY MANAGEMENT SYSTEMS |
URI: | http://elar.urfu.ru/handle/10995/90412 |
Условия доступа: | info:eu-repo/semantics/openAccess |
Идентификатор SCOPUS: | 85084254965 |
Идентификатор WOS: | 000530811900002 |
Идентификатор PURE: | 12928573 |
ISSN: | 2169-3536 |
DOI: | 10.1109/ACCESS.2020.2987765 |
Сведения о поддержке: | Ministry of Higher Education, Egypt, MHE This work was supported by the Ministry of Higher Education, Egypt. |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
10.1109-ACCESS.2020.2987765.pdf | 7,78 MB | Adobe PDF | Просмотреть/Открыть |
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.