A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources
The integration of Distributed Energy Resources (DER) like renewable generation into the power system has increased the need to develop effective strategies for procurement of flexibility services from these distribution network connected resources. In order to realize the flexibility potential of D...
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| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/10599483/ |
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| author | Nikolaos Savvopoulos Nikos Hatziargyriou Hannu Laaksonen |
| author_facet | Nikolaos Savvopoulos Nikos Hatziargyriou Hannu Laaksonen |
| author_sort | Nikolaos Savvopoulos |
| collection | DOAJ |
| description | The integration of Distributed Energy Resources (DER) like renewable generation into the power system has increased the need to develop effective strategies for procurement of flexibility services from these distribution network connected resources. In order to realize the flexibility potential of DERs to support flexibility needs of the system operators, the aggregated available flexibility at the interconnection point between transmission and distribution system needs to be estimated. This paper presents a novel optimization-based method to estimate the time-dependent flexibility at a primary distribution substation while accounting for the uncertainty of renewable generation. The proposed approach integrates the stochasticity of the flexibility resources using a scenario-based robust optimization and incorporates the intertemporal constraints of DER into the estimation process, ensuring a realistic representation of the flexibility capability over time. The scenarios are derived through sampling from a probability distribution of the renewable energy forecasts. This process utilizes a joint probability distribution and copulas to account for the temporal and spatial correlation among the renewable energy sources of the same region. Based on the joint hourly probability of the different scenarios a robust solution is finally obtained according to the assumed confidence level. |
| format | Article |
| id | doaj-art-ea8b525315444bd1ab1300caa99b7924 |
| institution | Kabale University |
| issn | 2687-7910 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-ea8b525315444bd1ab1300caa99b79242025-01-21T00:03:17ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011132533710.1109/OAJPE.2024.342939010599483A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed ResourcesNikolaos Savvopoulos0https://orcid.org/0000-0001-7994-4888Nikos Hatziargyriou1https://orcid.org/0000-0001-5296-191XHannu Laaksonen2https://orcid.org/0000-0001-9378-8500School of Electrical and Computer Engineering, National Technical University of Athens, Athens, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, Athens, GreeceSchool of Technology and Innovations, University of Vaasa, Vaasa, FinlandThe integration of Distributed Energy Resources (DER) like renewable generation into the power system has increased the need to develop effective strategies for procurement of flexibility services from these distribution network connected resources. In order to realize the flexibility potential of DERs to support flexibility needs of the system operators, the aggregated available flexibility at the interconnection point between transmission and distribution system needs to be estimated. This paper presents a novel optimization-based method to estimate the time-dependent flexibility at a primary distribution substation while accounting for the uncertainty of renewable generation. The proposed approach integrates the stochasticity of the flexibility resources using a scenario-based robust optimization and incorporates the intertemporal constraints of DER into the estimation process, ensuring a realistic representation of the flexibility capability over time. The scenarios are derived through sampling from a probability distribution of the renewable energy forecasts. This process utilizes a joint probability distribution and copulas to account for the temporal and spatial correlation among the renewable energy sources of the same region. Based on the joint hourly probability of the different scenarios a robust solution is finally obtained according to the assumed confidence level.https://ieeexplore.ieee.org/document/10599483/Active distribution gridsdistributed energy resourcesoperational flexibilityoptimal power flow (OPF)TSO-DSO coordination |
| spellingShingle | Nikolaos Savvopoulos Nikos Hatziargyriou Hannu Laaksonen A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources IEEE Open Access Journal of Power and Energy Active distribution grids distributed energy resources operational flexibility optimal power flow (OPF) TSO-DSO coordination |
| title | A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources |
| title_full | A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources |
| title_fullStr | A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources |
| title_full_unstemmed | A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources |
| title_short | A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources |
| title_sort | holistic approach to the efficient estimation of operational flexibility from distributed resources |
| topic | Active distribution grids distributed energy resources operational flexibility optimal power flow (OPF) TSO-DSO coordination |
| url | https://ieeexplore.ieee.org/document/10599483/ |
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