Renewable energy utilization in demand-side energy management system based on linear programming optimization algorithm

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dc.contributor.authorAlmashhadani, Muna Kamel
dc.contributor.authorÇevik, Mesut
dc.contributor.authorAl-Jumaili, Saif
dc.contributor.authorAlhanaf, Ahmed Sami
dc.contributor.authorAl-Bhadely, Faraj Khlaf
dc.contributor.authorUçan, Osman Nuri
dc.date.accessioned2024-05-30T06:51:10Z
dc.date.available2024-05-30T06:51:10Z
dc.date.issued2024en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractDemand-side management (DSM) is an effectual approach by coordinating utility management and routinely tracking energy usage, the intelligent grid assists in controlling energy demand and promotes its efficiency. However, the paper aims to utilize Linear programming optimization algorithms as an effective tool for managing energy demand and maximizing the use of renewable energy sources. These algorithms are able to estimate which is the best utilization of what resources are accessible and reduce consumption by describing the energy system as a collection of linear equations. The optimization system makes assumptions about the various energy costs when it will be high or low and modifies energy use accordingly. We applied different scenarios to assess the resiliency of the system. The simulation took into account a number of variables, including the weather, energy usage, and pricing fluctuations. MATLAB R2023a and Simulink provide an integrated platform with data analytics to build the proposed system and optimization model to minimize cost in MATLAB. Compared to other methods using various optimization algorithms as the binary orientation search algorithm (BOSA), cockroach swarm optimization (CSO), and the sparrow search algorithm (SSA) were applied to DSM methodology for a residential community with a primary focus on decreasing peak energy consumption results as in previous study was, BOSA has a lower standard deviation (0.8) compared to the other algorithms (1.7 for SSA and 1.3 for CSOA), making it more robust and superior, in addition to minimizing cost (5438.98 cents of USD (mean value) and 16.3% savings), the suggested approach is used for lowering electrical energy costs in a micro-grid system while maintaining their regular load and operating hours.en_US
dc.identifier.citationAlmashhadani, M. K., Çevik, M., Al-Jumaili, S., Alhanaf, A. S., Al-Bhadely, F. K., Uçan, O. N. (2024). Renewable energy utilization in demand-side energy management system based on linear programming optimization algorithm. AIP Conference Proceedings, 3097(1). 10.1063/5.0209541en_US
dc.identifier.issn0094-243X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85193719048
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4713
dc.identifier.volume3097en_US
dc.indekslendigikaynakScopus
dc.institutionauthorAlmashhadani, Muna Kamel
dc.institutionauthorÇevik, Mesut
dc.institutionauthorAl-Jumaili, Saif
dc.institutionauthorUçan, Osman Nuri
dc.language.isoen
dc.publisherAmerican Institute of Physicsen_US
dc.relation.ispartofAIP Conference Proceedings
dc.relation.isversionof10.1063/5.0209541en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDemand-side Managementen_US
dc.subjectLinear Programming Algorithmsen_US
dc.subjectOptimizationen_US
dc.titleRenewable energy utilization in demand-side energy management system based on linear programming optimization algorithm
dc.typeArticle

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