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Optimal Multi-Microgrids Energy Management Through Information Gap Decision Theory and Tunicate Swarm Algorithm

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Název: Optimal Multi-Microgrids Energy Management Through Information Gap Decision Theory and Tunicate Swarm Algorithm
Autoři: Reza Rashidi, Alireza Hatami, Mansour Moradi, Xiaodong Liang
Zdroj: IEEE Access, Vol 12, Pp 114795-114808 (2024)
Informace o vydavateli: Institute of Electrical and Electronics Engineers (IEEE), 2024.
Rok vydání: 2024
Témata: fatigue life, Energy management, 0202 electrical engineering, electronic engineering, information engineering, information gap decision theory, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, tunicate swarm algorithm, tertiary-level control, 7. Clean energy, multi-microgrid, TK1-9971
Popis: A multi-microgrid (MMG) consists of several individual microgrids (MGs) within a distribution system to improve the system’s stability and reliability. A MMG can operate in grid-connected or island mode and requires advanced control techniques and effective energy management. This paper proposes a novel energy management approach for a MMG at the tertiary level control (TLC) using an adaptive optimal control model. Operational costs of the MMG are minimized for short-term planning while satisfying operational constraints of the network; the influential indices, the energy not supplied (ENS) and fatigue life (FL), remain balanced. The information gap decision theory (IGDT) is used to consider uncertainties in power generation and consumptions. MATLAB and DigSilent are used simultaneously to model optimally connected individual MGs within a MMG. The Tunicate Swarm Algorithm (TSA) is used for TLC for cost calculation and forming optimal connection models of individual MGs. The proposed method is validated through several case studies, showing superior performance.
Druh dokumentu: Article
ISSN: 2169-3536
DOI: 10.1109/access.2024.3443471
Přístupová URL adresa: https://doaj.org/article/52cff38669b94740bc2bebac478ad9ea
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....25294f1baceea567fcaada3d3d6ca5a7
Databáze: OpenAIRE
Popis
Abstrakt:A multi-microgrid (MMG) consists of several individual microgrids (MGs) within a distribution system to improve the system’s stability and reliability. A MMG can operate in grid-connected or island mode and requires advanced control techniques and effective energy management. This paper proposes a novel energy management approach for a MMG at the tertiary level control (TLC) using an adaptive optimal control model. Operational costs of the MMG are minimized for short-term planning while satisfying operational constraints of the network; the influential indices, the energy not supplied (ENS) and fatigue life (FL), remain balanced. The information gap decision theory (IGDT) is used to consider uncertainties in power generation and consumptions. MATLAB and DigSilent are used simultaneously to model optimally connected individual MGs within a MMG. The Tunicate Swarm Algorithm (TSA) is used for TLC for cost calculation and forming optimal connection models of individual MGs. The proposed method is validated through several case studies, showing superior performance.
ISSN:21693536
DOI:10.1109/access.2024.3443471