Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach
Rural distribution systems, especially in developing countries, tend to be less reliable than urban distribution systems because customers are (1) located remotely and (2) connected to weak aerial networks with radial topologies without redundancy. To improve reliability in rural areas, microgrids (...
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9755132/ |
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author | Jose L. Lopez-Prado Jorge W. Gonzalez-Sanchez Jorge I. Velez Guisselle A. Garcia-Llinas |
author_facet | Jose L. Lopez-Prado Jorge W. Gonzalez-Sanchez Jorge I. Velez Guisselle A. Garcia-Llinas |
author_sort | Jose L. Lopez-Prado |
collection | DOAJ |
description | Rural distribution systems, especially in developing countries, tend to be less reliable than urban distribution systems because customers are (1) located remotely and (2) connected to weak aerial networks with radial topologies without redundancy. To improve reliability in rural areas, microgrids (MGs) are being integrated into conventional power systems. This study evaluates the effect on the reliability of rural distribution systems when MGs are introduced considering different penetration levels for renewable and nonrenewable distributed generation, and under rated power of energy storage. Here, we first formulate a reliability model for a rural distribution system with MGs. Based on this model, an interactive method using a sequential Monte Carlo simulation method is proposed and applied to calculate different conventional reliability indices. We show that this approach facilitates the selection of the parameters of the different systems constituting the MGs in order to comply with a predefined reliability objective. For instance, by introducing only photovoltaic distributed generation systems to the rural distribution systems under study, achieving the reliability objective is next to impossible. However, when correctly dimensioned-hybrid MGs are introduced, such an objective is successfully achieved. In the future, our model and the results provided herein could be combined with technical and economic studies to obtain an optimal solution that meets a certain reliability objective. |
first_indexed | 2024-04-14T06:50:28Z |
format | Article |
id | doaj.art-7dc8c0098e7d48308906b517493b416e |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-14T06:50:28Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-7dc8c0098e7d48308906b517493b416e2022-12-22T02:07:03ZengIEEEIEEE Access2169-35362022-01-0110433274334010.1109/ACCESS.2022.31665089755132Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based ApproachJose L. Lopez-Prado0https://orcid.org/0000-0003-3405-1511Jorge W. Gonzalez-Sanchez1https://orcid.org/0000-0003-4702-8492Jorge I. Velez2https://orcid.org/0000-0002-3146-7899Guisselle A. Garcia-Llinas3https://orcid.org/0000-0001-6082-1722Department of Electronic Engineering, Universidad de Sucre, Sincelejo, ColombiaDepartment of Electrical Engineering, Universidad Pontificia Bolivariana, Medellin, ColombiaDepartment of Industrial Engineering, Universidad del Norte, Barranquilla, ColombiaDepartment of Industrial Engineering, Universidad del Norte, Barranquilla, ColombiaRural distribution systems, especially in developing countries, tend to be less reliable than urban distribution systems because customers are (1) located remotely and (2) connected to weak aerial networks with radial topologies without redundancy. To improve reliability in rural areas, microgrids (MGs) are being integrated into conventional power systems. This study evaluates the effect on the reliability of rural distribution systems when MGs are introduced considering different penetration levels for renewable and nonrenewable distributed generation, and under rated power of energy storage. Here, we first formulate a reliability model for a rural distribution system with MGs. Based on this model, an interactive method using a sequential Monte Carlo simulation method is proposed and applied to calculate different conventional reliability indices. We show that this approach facilitates the selection of the parameters of the different systems constituting the MGs in order to comply with a predefined reliability objective. For instance, by introducing only photovoltaic distributed generation systems to the rural distribution systems under study, achieving the reliability objective is next to impossible. However, when correctly dimensioned-hybrid MGs are introduced, such an objective is successfully achieved. In the future, our model and the results provided herein could be combined with technical and economic studies to obtain an optimal solution that meets a certain reliability objective.https://ieeexplore.ieee.org/document/9755132/MicrogridsMonte-Carlo simulationreliability evaluationrural distribution systems |
spellingShingle | Jose L. Lopez-Prado Jorge W. Gonzalez-Sanchez Jorge I. Velez Guisselle A. Garcia-Llinas Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach IEEE Access Microgrids Monte-Carlo simulation reliability evaluation rural distribution systems |
title | Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach |
title_full | Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach |
title_fullStr | Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach |
title_full_unstemmed | Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach |
title_short | Reliability Assessment in Rural Distribution Systems With Microgrids: A Computational- Based Approach |
title_sort | reliability assessment in rural distribution systems with microgrids a computational based approach |
topic | Microgrids Monte-Carlo simulation reliability evaluation rural distribution systems |
url | https://ieeexplore.ieee.org/document/9755132/ |
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