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Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent

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dc.citedby1
dc.contributor.authorRasheed M.A.en_US
dc.contributor.authorVerayiah R.en_US
dc.contributor.authorid57220109803en_US
dc.contributor.authorid26431682500en_US
dc.date.accessioned2023-05-29T09:05:42Z
dc.date.available2023-05-29T09:05:42Z
dc.date.issued2021
dc.descriptionDistributed power generation; Electric power factor; Electric power transmission networks; Location; MATLAB; Photovoltaic cells; Solar energy; Stability; Distributed generation units; Fast voltage stability indices; Line stability factor; Optimisations; Photovoltaics; Power factors; Stability factor; System loss; Voltage profile; Voltage-stability index; Genetic algorithmsen_US
dc.description.abstractElectricity generation from renewable energy sources such as solar energy is an emerging sustainable solution. In the last decade, this sustainable source was not only being used as a source of power generation but also as distributed generation (DG). Many literatures have been published in this field with the objective to minimize losses by optimizing the DG size and location. System losses and voltage profile go hand-in-hand; as a result, when system losses are minimized, eventually the voltage profile improves. With improvement in inverter technologies, PV-DG units do not have to operate at a unity power factor. The majority of proposed algorithms and methods do not consider power factor optimization as a necessary optimization. This article aims to optimize the size, location, and power factor of PV-DG units. The simulations are performed on the IEEE 33 bus radial distribution network and IEEE 14 bus transmission network. The methodologies developed in this article are divided into two sections. The first section aims to optimize the PV-DG size and location. A multi-objective function is developed by using system losses and a voltage deviation index. Genetic algorithm (GA) is used to optimize the multi-objective function. Next, analytical processes are developed for verification. The second section aims to further enhance PV-DG by optimizing the power factor of PV-DG. The simulation is performed for static load in both systems, which are the IEEE 33 bus radial distribution network and IEEE 14 bus transmission network. A mathematical analytical method was developed, and it was found to be sufficient to optimize the power factor of the PV-DG unit. The results obtained show that voltage stability indices help minimize the computation time by determining the optimal locations for DG placement in both networks. In addition, the GA method attained faster convergence than the analytical method and hence is the best optimal sizing for both test systems with minimum computation time. Additionally, the optimization of the power factor for both test systems has demonstrated further improvement in the voltage profile and loss minimization. In conclusion, the proposed methodology has shown promising results for both transmission and distribution networks. � Copyright � 2021 Rasheed and Verayiah.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo695814
dc.identifier.doi10.3389/fenrg.2021.695814
dc.identifier.scopus2-s2.0-85117934254
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85117934254&doi=10.3389%2ffenrg.2021.695814&partnerID=40&md5=d76a27e4f1708907541846cab95e337e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25948
dc.identifier.volume9
dc.publisherFrontiers Media S.A.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleFrontiers in Energy Research
dc.titleInvestigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilenten_US
dc.typeArticleen_US
dspace.entity.typePublication
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