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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

Distributed 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...

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Main Authors: Rasheed M.A., Verayiah R.
Other Authors: 57220109803
Format: Article
Published: Frontiers Media S.A. 2023
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spelling my.uniten.dspace-259482023-05-29T17:05:42Z Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent Rasheed M.A. Verayiah R. 57220109803 26431682500 Distributed 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 algorithms Electricity 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. Final 2023-05-29T09:05:42Z 2023-05-29T09:05:42Z 2021 Article 10.3389/fenrg.2021.695814 2-s2.0-85117934254 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117934254&doi=10.3389%2ffenrg.2021.695814&partnerID=40&md5=d76a27e4f1708907541846cab95e337e https://irepository.uniten.edu.my/handle/123456789/25948 9 695814 All Open Access, Gold Frontiers Media S.A. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Distributed 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 algorithms
author2 57220109803
author_facet 57220109803
Rasheed M.A.
Verayiah R.
format Article
author Rasheed M.A.
Verayiah R.
spellingShingle Rasheed M.A.
Verayiah R.
Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent
author_sort Rasheed M.A.
title Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent
title_short Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent
title_full Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent
title_fullStr Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent
title_full_unstemmed Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent
title_sort investigation of optimal pv allocation to minimize system losses and improve voltage stability for distribution and transmission networks using matlab and digsilent
publisher Frontiers Media S.A.
publishDate 2023
_version_ 1806428079042592768
score 13.223943

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