Optimization Methods for Integrating DG and BESS With Time-Varying Loads In The Distribution Networks: A Review

• Published in: IEEE Symposium on Wireless Technology and Applications, ISWTA
• Main Author: Isa S.S.M.; Ibrahim M.N.; Ahmad A.M.; Dahlan N.Y.; Jamahori H.F.B.; Ahmad M.S.
• Format: Conference paper
• Language: English
• Published: IEEE Computer Society 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203792241&doi=10.1109%2fISWTA62130.2024.10651974&partnerID=40&md5=477718acc336c5686e54631bb6f9bfe3

Numerous studies in distributed generation (DG) planning often rely on voltage-dependent or constant load models, yet these may yield suboptimal results due to fluctuating renewable generation and load demand. Integrating DG and Battery Energy Storage Systems (BESS) into distribution networks presents a significant challenge in optimizing energy management, particularly with time-varying loads. This paper fills a gap in existing literature by reviewing optimization methods tailored to address dynamic load demand. Emphasizing the importance of considering time-varying load profiles, it highlights their impact on distribution network efficiency and resilience. Various optimization approaches are analyzed for their effectiveness in reducing power losses, ensuring voltage stability, and managing peak demand. Additionally, the paper discusses the benefits of optimization methodologies, such as improved voltage profiles, reduced energy losses, enhanced renewable energy integration, and better system resilience, providing guidance for researchers and practitioners in developing efficient strategies for DG and BESS integration in distribution networks. © 2024 IEEE.