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 (...

Full description

Bibliographic Details
Main Authors: Jose L. Lopez-Prado, Jorge W. Gonzalez-Sanchez, Jorge I. Velez, Guisselle A. Garcia-Llinas
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9755132/
_version_ 1818014860911312896
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/
work_keys_str_mv AT josellopezprado reliabilityassessmentinruraldistributionsystemswithmicrogridsacomputationalbasedapproach
AT jorgewgonzalezsanchez reliabilityassessmentinruraldistributionsystemswithmicrogridsacomputationalbasedapproach
AT jorgeivelez reliabilityassessmentinruraldistributionsystemswithmicrogridsacomputationalbasedapproach
AT guisselleagarciallinas reliabilityassessmentinruraldistributionsystemswithmicrogridsacomputationalbasedapproach