Day-ahead reserve determination in power systems with high renewable penetration
We consider the operation of a power system with high renewable penetration and minimal network bottlenecks and provide a technique to determine the appropriate level of reserve to enforce. Within a daily scheduling framework, we model the production uncertainty of renewable units via scenarios and...
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Elsevier
2024-02-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061523007603 |
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| author | Xuan Liu Antonio J. Conejo |
| author_facet | Xuan Liu Antonio J. Conejo |
| author_sort | Xuan Liu |
| collection | DOAJ |
| description | We consider the operation of a power system with high renewable penetration and minimal network bottlenecks and provide a technique to determine the appropriate level of reserve to enforce. Within a daily scheduling framework, we model the production uncertainty of renewable units via scenarios and include security constraints per scenario to ensure an uneventful operation in case of failure of key thermal units. The rarely constraining network is modeled via areas with limited capacity at their interfaces. The considered decision-making framework results in a two-stage stochastic programming problem whose first stage decides on the commitment of thermal units and whose second stage reproduces, per scenario, the operation of the system with and without the failure of key thermal units. The optimal unit scheduling obtained from the proposed model implicitly identifies a generating reserve pattern that we compare with common rules used in industry for reserve identification, such as 20% or 30% of the demand. We use the Illinois 200-bus system to illustrate and computationally characterize the methodology proposed. |
| format | Article |
| id | doaj-art-b4dbaef448894b51a693b5d266309265 |
| institution | OA Journals |
| issn | 0142-0615 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-b4dbaef448894b51a693b5d2663092652025-08-20T02:33:35ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152024-02-0115610970310.1016/j.ijepes.2023.109703Day-ahead reserve determination in power systems with high renewable penetrationXuan Liu0Antonio J. Conejo1Department of Electrical and Computer Engineering, The Ohio State University, 2015 Neil Avenue, Columbus, OH 43210, United States; Corresponding author.Department of Electrical and Computer Engineering, The Ohio State University, 2015 Neil Avenue, Columbus, OH 43210, United States; Department of Integrated Systems Engineering, The Ohio State University, 1971 Neil Avenue, Columbus, OH 43210, United StatesWe consider the operation of a power system with high renewable penetration and minimal network bottlenecks and provide a technique to determine the appropriate level of reserve to enforce. Within a daily scheduling framework, we model the production uncertainty of renewable units via scenarios and include security constraints per scenario to ensure an uneventful operation in case of failure of key thermal units. The rarely constraining network is modeled via areas with limited capacity at their interfaces. The considered decision-making framework results in a two-stage stochastic programming problem whose first stage decides on the commitment of thermal units and whose second stage reproduces, per scenario, the operation of the system with and without the failure of key thermal units. The optimal unit scheduling obtained from the proposed model implicitly identifies a generating reserve pattern that we compare with common rules used in industry for reserve identification, such as 20% or 30% of the demand. We use the Illinois 200-bus system to illustrate and computationally characterize the methodology proposed.http://www.sciencedirect.com/science/article/pii/S0142061523007603ContingencyReserveSecurity constraintsStochastic unit commitmentUncertainty |
| spellingShingle | Xuan Liu Antonio J. Conejo Day-ahead reserve determination in power systems with high renewable penetration International Journal of Electrical Power & Energy Systems Contingency Reserve Security constraints Stochastic unit commitment Uncertainty |
| title | Day-ahead reserve determination in power systems with high renewable penetration |
| title_full | Day-ahead reserve determination in power systems with high renewable penetration |
| title_fullStr | Day-ahead reserve determination in power systems with high renewable penetration |
| title_full_unstemmed | Day-ahead reserve determination in power systems with high renewable penetration |
| title_short | Day-ahead reserve determination in power systems with high renewable penetration |
| title_sort | day ahead reserve determination in power systems with high renewable penetration |
| topic | Contingency Reserve Security constraints Stochastic unit commitment Uncertainty |
| url | http://www.sciencedirect.com/science/article/pii/S0142061523007603 |
| work_keys_str_mv | AT xuanliu dayaheadreservedeterminationinpowersystemswithhighrenewablepenetration AT antoniojconejo dayaheadreservedeterminationinpowersystemswithhighrenewablepenetration |