uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification

A key component of increasing energy access globally is providing rural electrification using off-grid minigrids. Minigrid developers have specific design and planning needs including: (i) equipment sizing and resource allocation, (ii) distribution network layout, and (iii) reliability cost-benefit...

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Main Authors: Phylicia Cicilio, Matthew Orosz, Amy Mueller, Eduardo Cotilla-Sanchez
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8895953/
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author Phylicia Cicilio
Matthew Orosz
Amy Mueller
Eduardo Cotilla-Sanchez
author_facet Phylicia Cicilio
Matthew Orosz
Amy Mueller
Eduardo Cotilla-Sanchez
author_sort Phylicia Cicilio
collection DOAJ
description A key component of increasing energy access globally is providing rural electrification using off-grid minigrids. Minigrid developers have specific design and planning needs including: (i) equipment sizing and resource allocation, (ii) distribution network layout, and (iii) reliability cost-benefit analysis. Optimization of each aspect is necessary to minimize the cost of electricity for the customer and to maintain a target level of reliability. This work presents an extension of an open-source holistic minigrid design and planning toolset called uGrid, created by the minigrid developer OnePower in Lesotho to perform resource allocation and sizing optimization of energy generation infrastructure based on statistical load estimates. The extension is an improved uGrid with advanced dispatch controls and the newly added uGridNet with distribution network design using Gaussian-mean clustering, network reduction, and N-1 line loss reliability cost-benefit analysis to optimize the network topology considering cost and reliability. A case study is performed using the toolset to design a minigrid for the Ha Makebe village in Lesotho, highlighting pole placement capabilities and changes in network layouts over a range of reliability probabilities. Added costs for reliability range from 18% to 130% for reliability probabilities from 10% to 100%, providing developers with a wide range of options to consider. This combined toolset is designed and packaged to meet the engineering design needs of minigrid developers, with the goal of supporting affordable rural electrification and energy access initiatives worldwide.
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spelling doaj.art-2a9c35dfd6a944be86c39c274355d8c32022-12-21T22:17:00ZengIEEEIEEE Access2169-35362019-01-01716398816399910.1109/ACCESS.2019.29528968895953uGrid: Reliable Minigrid Design and Planning Toolset for Rural ElectrificationPhylicia Cicilio0https://orcid.org/0000-0003-3914-1620Matthew Orosz1Amy Mueller2https://orcid.org/0000-0001-8745-9006Eduardo Cotilla-Sanchez3https://orcid.org/0000-0002-3964-3260School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USAOnePower Africa, Maseru, LesothoDepartment of Civil and Environmental Engineering, Northeastern University, Boston, MA, USASchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USAA key component of increasing energy access globally is providing rural electrification using off-grid minigrids. Minigrid developers have specific design and planning needs including: (i) equipment sizing and resource allocation, (ii) distribution network layout, and (iii) reliability cost-benefit analysis. Optimization of each aspect is necessary to minimize the cost of electricity for the customer and to maintain a target level of reliability. This work presents an extension of an open-source holistic minigrid design and planning toolset called uGrid, created by the minigrid developer OnePower in Lesotho to perform resource allocation and sizing optimization of energy generation infrastructure based on statistical load estimates. The extension is an improved uGrid with advanced dispatch controls and the newly added uGridNet with distribution network design using Gaussian-mean clustering, network reduction, and N-1 line loss reliability cost-benefit analysis to optimize the network topology considering cost and reliability. A case study is performed using the toolset to design a minigrid for the Ha Makebe village in Lesotho, highlighting pole placement capabilities and changes in network layouts over a range of reliability probabilities. Added costs for reliability range from 18% to 130% for reliability probabilities from 10% to 100%, providing developers with a wide range of options to consider. This combined toolset is designed and packaged to meet the engineering design needs of minigrid developers, with the goal of supporting affordable rural electrification and energy access initiatives worldwide.https://ieeexplore.ieee.org/document/8895953/Rural electrificationenergy accessminigridmicrogridpower systems modelingdistribution network
spellingShingle Phylicia Cicilio
Matthew Orosz
Amy Mueller
Eduardo Cotilla-Sanchez
uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification
IEEE Access
Rural electrification
energy access
minigrid
microgrid
power systems modeling
distribution network
title uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification
title_full uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification
title_fullStr uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification
title_full_unstemmed uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification
title_short uGrid: Reliable Minigrid Design and Planning Toolset for Rural Electrification
title_sort ugrid reliable minigrid design and planning toolset for rural electrification
topic Rural electrification
energy access
minigrid
microgrid
power systems modeling
distribution network
url https://ieeexplore.ieee.org/document/8895953/
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AT mattheworosz ugridreliableminigriddesignandplanningtoolsetforruralelectrification
AT amymueller ugridreliableminigriddesignandplanningtoolsetforruralelectrification
AT eduardocotillasanchez ugridreliableminigriddesignandplanningtoolsetforruralelectrification