Real-time techno-economical operation of preserving microgrids via optimal NLMPC considering uncertainties

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dc.contributor.authorYaghoubi, E.
dc.contributor.authorYaghoubi, E.
dc.contributor.authorYusupov, Z.
dc.contributor.authorRahebi, J.
dc.date.accessioned2024-09-29T16:21:11Z
dc.date.available2024-09-29T16:21:11Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn the modern era, managing optimal real-time control of microgrids during the operation phase has been a significant challenge, requiring careful consideration of both technical and economic factors. This paper introduces a framework for the real-time control of islanded microgrids using a preserving network. This structure incorporates various distributed generation sources, including rotating and non-rotating resources, along with energy storage systems. The optimization function within model predictive control (MPC) manages essential network parameters, such as frequency and voltage, while addressing real-time economic and technical objectives. To enhance precision and account for uncertainties in generation and consumption parameters, the integration of continuous power flow and the preserving network model is employed. This approach aims to create a model that closely mirrors real-world conditions, ensuring a more accurate representation of microgrid dynamics. The proposed structure demonstrates significant improvements in both technical and economic performance compared to Standard MPC and Adaptive MPC, highlighting its potential for more efficient islanded microgrid management. The proposed framework achieves notable reductions in total voltage deviation of 85.87% and 87.62% compared to Standard MPC and Adaptive MPC, respectively. Additionally, it delivers impressive enhancements in frequency deviation of 99.46% and 96.62% compared to Standard MPC and Adaptive MPC, respectively. Economically, the proposed framework significantly outperforms both, reducing costs by 39.29% compared to Standard MPC and by 28.12% compared to Adaptive MPC. © 2024 THE AUTHORSen_US
dc.identifier.doi10.1016/j.jestch.2024.101823
dc.identifier.issn2215-0986
dc.identifier.scopus2-s2.0-85202581732en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2024.101823
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9578
dc.identifier.volume57en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofEngineering Science and Technology, an International Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectContinuous power flowen_US
dc.subjectNetwork preserving modelen_US
dc.subjectNon-linear model predictive controlen_US
dc.subjectReal-timeen_US
dc.subjectTechno-economical controlen_US
dc.titleReal-time techno-economical operation of preserving microgrids via optimal NLMPC considering uncertaintiesen_US
dc.typeArticleen_US

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