A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources
This work explores the generation expansion planning (GEP) problem from a multiobjective perspective, estimating the maximum capacity of non-controllable variable renewable energy (VRE) sources to be installed, when investments in flexible technologies are carried out. The problem is formulated as a...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10787007/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850064864797523968 |
|---|---|
| author | Jonathan Munoz Tabora Yoly G. Velasquez Dennis A. Rivera Darwin A. Quijano Ozy D. Melgar-Dominguez |
| author_facet | Jonathan Munoz Tabora Yoly G. Velasquez Dennis A. Rivera Darwin A. Quijano Ozy D. Melgar-Dominguez |
| author_sort | Jonathan Munoz Tabora |
| collection | DOAJ |
| description | This work explores the generation expansion planning (GEP) problem from a multiobjective perspective, estimating the maximum capacity of non-controllable variable renewable energy (VRE) sources to be installed, when investments in flexible technologies are carried out. The problem is formulated as a multiobjective optimization model that seeks to maximize the capacity of VRE-based generation while simultaneously minimizing the investment costs in flexible technologies, system operation costs, and emission taxes. This model takes into account the uncertainty and variability in renewable power production and demand via a multi-period stochastic formulation. The problem solution provides a set of investment plans that allow the system planner to select the option that best satisfies economic, environmental and operational targets and, in addition, provides the necessary reserve capacity to accommodate the expected new VRE sources, addressing the intermittency and variability of renewable power production. Numerical results show that the proposed strategy reveals an interdependence between the VRE installed capacity and investment in flexible technologies to provide balancing services. Furthermore, the results indicate that the installed renewable capacity can increase by up to 44.12%, which correlates with an approximately 60% rise in investment costs for flexible technologies compared to the case where these investments are minimized. |
| format | Article |
| id | doaj-art-1a1f7c509aaf4b5fa317b6df76a9af73 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-1a1f7c509aaf4b5fa317b6df76a9af732025-08-20T02:49:09ZengIEEEIEEE Access2169-35362024-01-011218766518767510.1109/ACCESS.2024.351437310787007A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy SourcesJonathan Munoz Tabora0https://orcid.org/0000-0002-5322-7212Yoly G. Velasquez1Dennis A. Rivera2Darwin A. Quijano3https://orcid.org/0000-0002-7721-5814Ozy D. Melgar-Dominguez4https://orcid.org/0000-0003-3131-6967Electrical Engineering Department, National University Autonomous of Honduras (UNAH), Tegucigalpa, HondurasPower System Planning Department, Electric System Operator (CND), Tegucigalpa, HondurasElectrical Engineering Department, National University Autonomous of Honduras (UNAH), Tegucigalpa, HondurasRegulation Direction, Electric Power Regulatory Commission (CREE), Tegucigalpa, HondurasElectrical Engineering Department, National University Autonomous of Honduras (UNAH), Tegucigalpa, HondurasThis work explores the generation expansion planning (GEP) problem from a multiobjective perspective, estimating the maximum capacity of non-controllable variable renewable energy (VRE) sources to be installed, when investments in flexible technologies are carried out. The problem is formulated as a multiobjective optimization model that seeks to maximize the capacity of VRE-based generation while simultaneously minimizing the investment costs in flexible technologies, system operation costs, and emission taxes. This model takes into account the uncertainty and variability in renewable power production and demand via a multi-period stochastic formulation. The problem solution provides a set of investment plans that allow the system planner to select the option that best satisfies economic, environmental and operational targets and, in addition, provides the necessary reserve capacity to accommodate the expected new VRE sources, addressing the intermittency and variability of renewable power production. Numerical results show that the proposed strategy reveals an interdependence between the VRE installed capacity and investment in flexible technologies to provide balancing services. Furthermore, the results indicate that the installed renewable capacity can increase by up to 44.12%, which correlates with an approximately 60% rise in investment costs for flexible technologies compared to the case where these investments are minimized.https://ieeexplore.ieee.org/document/10787007/Generation expansion planningdynamic reserve requirementsflexibilitymultiobjective analysisvariable renewable generation |
| spellingShingle | Jonathan Munoz Tabora Yoly G. Velasquez Dennis A. Rivera Darwin A. Quijano Ozy D. Melgar-Dominguez A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources IEEE Access Generation expansion planning dynamic reserve requirements flexibility multiobjective analysis variable renewable generation |
| title | A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources |
| title_full | A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources |
| title_fullStr | A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources |
| title_full_unstemmed | A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources |
| title_short | A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources |
| title_sort | multiobjective strategy for generation expansion planning to enable increased penetration of variable renewable energy sources |
| topic | Generation expansion planning dynamic reserve requirements flexibility multiobjective analysis variable renewable generation |
| url | https://ieeexplore.ieee.org/document/10787007/ |
| work_keys_str_mv | AT jonathanmunoztabora amultiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT yolygvelasquez amultiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT dennisarivera amultiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT darwinaquijano amultiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT ozydmelgardominguez amultiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT jonathanmunoztabora multiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT yolygvelasquez multiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT dennisarivera multiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT darwinaquijano multiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources AT ozydmelgardominguez multiobjectivestrategyforgenerationexpansionplanningtoenableincreasedpenetrationofvariablerenewableenergysources |