An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models
The power system is undergoing significant changes so as to accommodate an increasing amount of renewably generated electricity. In order to facilitate these changes, a shift from the currently employed zonal pricing to nodal pricing is a topic that is receiving increasing interest. To explore alter...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-06-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/12/4233 |
| _version_ | 1797487884664569856 |
|---|---|
| author | Luca Lena Jansen Georg Thomaßen Georgios Antonopoulos Ľuboš Buzna |
| author_facet | Luca Lena Jansen Georg Thomaßen Georgios Antonopoulos Ľuboš Buzna |
| author_sort | Luca Lena Jansen |
| collection | DOAJ |
| description | The power system is undergoing significant changes so as to accommodate an increasing amount of renewably generated electricity. In order to facilitate these changes, a shift from the currently employed zonal pricing to nodal pricing is a topic that is receiving increasing interest. To explore alternative pricing mechanisms for the European electricity market, one needs to solve large-scale nodal optimization problems. These are computationally intensive to solve, and a parallelization or sequencing of the models can become necessary. The seasonality of hydro inflows and the issue of myopic foresight that does not display the value in storing water today and utilizing it in the future is a known problem in power system modeling. This work proposes a heuristic step-wise methodology to obtain state of charge profiles for hydro storage units for large-scale nodal and zonal models. Profiles obtained from solving an aggregated model serve as guidance for a nodal model with high spatial and temporal resolution that is solved in sequences. The sequenced problem is guided through soft constraints that are enforced with different sets of penalty factors. The proposed methodology allows for adjustments to congestions on short timescales and proves to perform well in comparison to other approaches to this issue suggested in the literature. Following the input profile closely on a long timescale renders good results for the nodal model. |
| first_indexed | 2024-03-09T23:54:11Z |
| format | Article |
| id | doaj.art-0974d9e5523f47e9a5e0eac3f668f274 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:54:11Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0974d9e5523f47e9a5e0eac3f668f2742023-11-23T16:27:42ZengMDPI AGEnergies1996-10732022-06-011512423310.3390/en15124233An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing ModelsLuca Lena Jansen0Georg Thomaßen1Georgios Antonopoulos2Ľuboš Buzna3Faculty of Management Science and Informatics, University of Žilina (UNIZA), 010 26 Žilina, SlovakiaJoint Research Centre (JRC), European Commission, 1755 LE Petten, The NetherlandsJoint Research Centre (JRC), European Commission, 1755 LE Petten, The NetherlandsFaculty of Management Science and Informatics, University of Žilina (UNIZA), 010 26 Žilina, SlovakiaThe power system is undergoing significant changes so as to accommodate an increasing amount of renewably generated electricity. In order to facilitate these changes, a shift from the currently employed zonal pricing to nodal pricing is a topic that is receiving increasing interest. To explore alternative pricing mechanisms for the European electricity market, one needs to solve large-scale nodal optimization problems. These are computationally intensive to solve, and a parallelization or sequencing of the models can become necessary. The seasonality of hydro inflows and the issue of myopic foresight that does not display the value in storing water today and utilizing it in the future is a known problem in power system modeling. This work proposes a heuristic step-wise methodology to obtain state of charge profiles for hydro storage units for large-scale nodal and zonal models. Profiles obtained from solving an aggregated model serve as guidance for a nodal model with high spatial and temporal resolution that is solved in sequences. The sequenced problem is guided through soft constraints that are enforced with different sets of penalty factors. The proposed methodology allows for adjustments to congestions on short timescales and proves to perform well in comparison to other approaches to this issue suggested in the literature. Following the input profile closely on a long timescale renders good results for the nodal model.https://www.mdpi.com/1996-1073/15/12/4233energy system modelinghydro modelingheuristicnodal pricing |
| spellingShingle | Luca Lena Jansen Georg Thomaßen Georgios Antonopoulos Ľuboš Buzna An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models Energies energy system modeling hydro modeling heuristic nodal pricing |
| title | An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models |
| title_full | An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models |
| title_fullStr | An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models |
| title_full_unstemmed | An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models |
| title_short | An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models |
| title_sort | efficient framework to estimate the state of charge profiles of hydro units for large scale zonal and nodal pricing models |
| topic | energy system modeling hydro modeling heuristic nodal pricing |
| url | https://www.mdpi.com/1996-1073/15/12/4233 |
| work_keys_str_mv | AT lucalenajansen anefficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels AT georgthomaßen anefficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels AT georgiosantonopoulos anefficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels AT lubosbuzna anefficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels AT lucalenajansen efficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels AT georgthomaßen efficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels AT georgiosantonopoulos efficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels AT lubosbuzna efficientframeworktoestimatethestateofchargeprofilesofhydrounitsforlargescalezonalandnodalpricingmodels |