A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, Colombia
This study presents a comprehensive multi-objective optimisation model for expanding the electrical distribution system of Pamplona, Colombia, a municipality located within the Santurbán páramo. The objective of the optimisation model is to integrate renewable energy resources available in the regio...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2025-07-01
|
| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/15425 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850074485767536640 |
|---|---|
| author | Nicolas Cabrera Ana M. Rosso-Ceron Andres F. Leon Esteban Viatcheslav Kafarov |
| author_facet | Nicolas Cabrera Ana M. Rosso-Ceron Andres F. Leon Esteban Viatcheslav Kafarov |
| author_sort | Nicolas Cabrera |
| collection | DOAJ |
| description | This study presents a comprehensive multi-objective optimisation model for expanding the electrical distribution system of Pamplona, Colombia, a municipality located within the Santurbán páramo. The objective of the optimisation model is to integrate renewable energy resources available in the region, such as solar, wind, and biomass, into the local power grid. Additionally, due to the intermittent nature of renewable energy sources and to ensure a continuous electricity supply, diesel power plants are considered as backup. The proposed optimisation model is a Mixed-Integer Multi-Objective Linear Programming (MOMILP) approach that minimises the total system cost (net present value) and CO2 emissions while accounting for design, operational, and budgetary constraints. Furthermore, the model explores the potential for surplus electricity sales to foster the development of energy communities. The MOMILP promotes the deployment of photovoltaic panels and biomass gasifiers, while including diesel power plants as backup technologies. The Pareto front alternatives indicate that electricity demand can be met exclusively with biomass gasifiers and diesel plants, albeit at the cost of generating the highest CO2 emissions. Conversely, to minimise CO2 emissions, electricity generation relies predominantly on photovoltaic panels, supported by biomass gasifiers, diesel plants, and wind turbines. The proposed methodology can be applied to a wide range of new projects implementing integrated renewable energy systems for the expansion of existing power grids. |
| format | Article |
| id | doaj-art-944861e7f59343f1986ff4679736e646 |
| institution | DOAJ |
| issn | 2283-9216 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj-art-944861e7f59343f1986ff4679736e6462025-08-20T02:46:35ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162025-07-01117A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, ColombiaNicolas CabreraAna M. Rosso-CeronAndres F. Leon EstebanViatcheslav KafarovThis study presents a comprehensive multi-objective optimisation model for expanding the electrical distribution system of Pamplona, Colombia, a municipality located within the Santurbán páramo. The objective of the optimisation model is to integrate renewable energy resources available in the region, such as solar, wind, and biomass, into the local power grid. Additionally, due to the intermittent nature of renewable energy sources and to ensure a continuous electricity supply, diesel power plants are considered as backup. The proposed optimisation model is a Mixed-Integer Multi-Objective Linear Programming (MOMILP) approach that minimises the total system cost (net present value) and CO2 emissions while accounting for design, operational, and budgetary constraints. Furthermore, the model explores the potential for surplus electricity sales to foster the development of energy communities. The MOMILP promotes the deployment of photovoltaic panels and biomass gasifiers, while including diesel power plants as backup technologies. The Pareto front alternatives indicate that electricity demand can be met exclusively with biomass gasifiers and diesel plants, albeit at the cost of generating the highest CO2 emissions. Conversely, to minimise CO2 emissions, electricity generation relies predominantly on photovoltaic panels, supported by biomass gasifiers, diesel plants, and wind turbines. The proposed methodology can be applied to a wide range of new projects implementing integrated renewable energy systems for the expansion of existing power grids.https://www.cetjournal.it/index.php/cet/article/view/15425 |
| spellingShingle | Nicolas Cabrera Ana M. Rosso-Ceron Andres F. Leon Esteban Viatcheslav Kafarov A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, Colombia Chemical Engineering Transactions |
| title | A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, Colombia |
| title_full | A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, Colombia |
| title_fullStr | A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, Colombia |
| title_full_unstemmed | A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, Colombia |
| title_short | A Multi-objective Optimization Model for Integrating Renewable Energy in Distribution System Expansion: a Case Study of Pamplona, Colombia |
| title_sort | multi objective optimization model for integrating renewable energy in distribution system expansion a case study of pamplona colombia |
| url | https://www.cetjournal.it/index.php/cet/article/view/15425 |
| work_keys_str_mv | AT nicolascabrera amultiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia AT anamrossoceron amultiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia AT andresfleonesteban amultiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia AT viatcheslavkafarov amultiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia AT nicolascabrera multiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia AT anamrossoceron multiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia AT andresfleonesteban multiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia AT viatcheslavkafarov multiobjectiveoptimizationmodelforintegratingrenewableenergyindistributionsystemexpansionacasestudyofpamplonacolombia |