MICROGRID ENERGY MANAGEMENT WITH DAY AHEAD AND NOVEL EGWO SOLUTION
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylors Univ Sdn Bhd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Microgrids have emerged as a viable option for enhancing energy dissemination infrastructures' effectiveness, dependability, and eco-friendliness, garnering considerable interest. The optimal utilization of resources and cost reduction are critical factors in microgrid energy management. The present research introduces the Enhanced Gray Wolf Optimization (EGWO) algorithm, which aims to optimize energy management in microgrids subject to uncertain load demands and renewable energy sources. The EGWO algorithm endeavors to reduce total energy expenditure while guaranteeing a dependable and enduring power provision. The utilization of the day ahead strategy is implemented using deep learning techniques to forecast the load demand and generation within the microgrid. Subsequently, the EGWO algorithm is employed to optimize the scheduling of the various components of the microgrid, encompassing renewable energy sources and storage devices, to attain the minimum energy cost amidst conditions of uncertainty. The efficacy and efficiency of the EGWO algorithm in enhancing the energy management of microgrids is demonstrated through a comparative analysis with other optimization algorithms. This research's findings indicate that the enhanced grey wolf optimization algorithm approach yields a significant reduction in operational expenses of up to 7.5%. The implementation of energy management is facilitated by utilizing the EGWO algorithm, which yields a final cost of 841.755 ct/kWh. Obtaining 11% of the electricity from the primary power network was imperative to satisfy the required power load. The cost associated with the referenced power amounted to a nominal 5%, indicating a comparatively modest expenditure.
Açıklama
Anahtar Kelimeler
Day-ahead strategy, EGWO, Energy management, Microgrid
Kaynak
Journal of Engineering Science and Technology
WoS Q Değeri
Q3
Scopus Q Değeri
Cilt
18
Sayı
6
