A multi-period and multi-objective optimization model of a microgrid system investment model

Microgrids are small-scale, low voltage power supply networks designed to supply electrical loads for a small community. This study extends existing mixed-integer linear programming microgrid investment models by considering multi-period and multi-objective investment setups. The optimization of the...

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Main Authors: Siy, Jhoenson, Uy, Lanz Timothy G., Uy, Patric, Sy, Charlle
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/276
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1275/viewcontent/CET1652099.pdf
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-12752024-03-24T23:10:48Z A multi-period and multi-objective optimization model of a microgrid system investment model Siy, Jhoenson Uy, Lanz Timothy G. Uy, Patric Sy, Charlle Microgrids are small-scale, low voltage power supply networks designed to supply electrical loads for a small community. This study extends existing mixed-integer linear programming microgrid investment models by considering multi-period and multi-objective investment setups. The optimization of the microgrid model provides investors a mix of distribution energy sources that maximizes the net present value (NPV) with consideration of the allowable budget and emission constraint under multiple periods. Through the NPV, the return of investment of the investor would be determined for the period that the model was run. Upon the analysis of the model, it was seen that the model chooses to prioritize the use of diesel generators until the emission constraint is maxed out. After which, it moves to the utilization of wind power then photovoltaic power. The use of electricity from the grid only happens when the demand for electricity is greater than the generating capacity of the system. Through the computational experiments performed, it was validated that the model can generate the purchasing pattern given the different parameters. This provides investors the set of equipment that they need to invest on each period based on their limited resources. 2016-01-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/faculty_research/276 info:doi/10.3303/CET1652099 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1275/viewcontent/CET1652099.pdf Faculty Research Work Animo Repository Microgrids (Smart power grids)--Linear programming Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Microgrids (Smart power grids)--Linear programming
Industrial Engineering
spellingShingle Microgrids (Smart power grids)--Linear programming
Industrial Engineering
Siy, Jhoenson
Uy, Lanz Timothy G.
Uy, Patric
Sy, Charlle
A multi-period and multi-objective optimization model of a microgrid system investment model
description Microgrids are small-scale, low voltage power supply networks designed to supply electrical loads for a small community. This study extends existing mixed-integer linear programming microgrid investment models by considering multi-period and multi-objective investment setups. The optimization of the microgrid model provides investors a mix of distribution energy sources that maximizes the net present value (NPV) with consideration of the allowable budget and emission constraint under multiple periods. Through the NPV, the return of investment of the investor would be determined for the period that the model was run. Upon the analysis of the model, it was seen that the model chooses to prioritize the use of diesel generators until the emission constraint is maxed out. After which, it moves to the utilization of wind power then photovoltaic power. The use of electricity from the grid only happens when the demand for electricity is greater than the generating capacity of the system. Through the computational experiments performed, it was validated that the model can generate the purchasing pattern given the different parameters. This provides investors the set of equipment that they need to invest on each period based on their limited resources.
format text
author Siy, Jhoenson
Uy, Lanz Timothy G.
Uy, Patric
Sy, Charlle
author_facet Siy, Jhoenson
Uy, Lanz Timothy G.
Uy, Patric
Sy, Charlle
author_sort Siy, Jhoenson
title A multi-period and multi-objective optimization model of a microgrid system investment model
title_short A multi-period and multi-objective optimization model of a microgrid system investment model
title_full A multi-period and multi-objective optimization model of a microgrid system investment model
title_fullStr A multi-period and multi-objective optimization model of a microgrid system investment model
title_full_unstemmed A multi-period and multi-objective optimization model of a microgrid system investment model
title_sort multi-period and multi-objective optimization model of a microgrid system investment model
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/276
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1275/viewcontent/CET1652099.pdf
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