Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System
This paper applies a robust optimization technique for coordinating reserve allocations in multiple-cell based power systems. The linear decision rules (LDR)-based policies were implemented to achieve the reserve robustness, and consist of a nominal power schedule with a series of linear modificatio...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-02-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/2/381 |
| _version_ | 1811184715537842176 |
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| author | Junjie Hu Tian Lan Kai Heussen Mattia Marinelli Alexander Prostejovsky Xianzhang Lei |
| author_facet | Junjie Hu Tian Lan Kai Heussen Mattia Marinelli Alexander Prostejovsky Xianzhang Lei |
| author_sort | Junjie Hu |
| collection | DOAJ |
| description | This paper applies a robust optimization technique for coordinating reserve allocations in multiple-cell based power systems. The linear decision rules (LDR)-based policies were implemented to achieve the reserve robustness, and consist of a nominal power schedule with a series of linear modifications. The LDR method can effectively adapt the participation factors of reserve providers to respond to system imbalance signals. The policies considered the covariance of historic system imbalance signals to reduce the overall reserve cost. When applying this method to the cell-based power system for a certain horizon, the influence of different time resolutions on policy-making is also investigated, which presents guidance for its practical application. The main results illustrate that: (a) the LDR-based method shows better performance, by producing smaller reserve costs compared to the costs given by a reference method; and (b) the cost index decreases with increased time intervals, however, longer intervals might result in insufficient reserves, due to low time resolution. On the other hand, shorter time intervals require heavy computational time. Thus, it is important to choose a proper time interval in real time operation to make a trade off. |
| first_indexed | 2024-04-11T13:17:09Z |
| format | Article |
| id | doaj.art-7a4634f7de9346269a02000bdf19c0a1 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:17:09Z |
| publishDate | 2018-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7a4634f7de9346269a02000bdf19c0a12022-12-22T04:22:21ZengMDPI AGEnergies1996-10732018-02-0111238110.3390/en11020381en11020381Robust Allocation of Reserve Policies for a Multiple-Cell Based Power SystemJunjie Hu0Tian Lan1Kai Heussen2Mattia Marinelli3Alexander Prostejovsky4Xianzhang Lei5State Key Laboratory of Alternate Electrical Power Systems with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaGlobal Energy Interconnection Research Institute Europe GmbH, 10117 Berlin, GermanyCenter for Electrical Power and Energy, DK2800 Lyngby, DenmarkCenter for Electrical Power and Energy, DK2800 Lyngby, DenmarkCenter for Electrical Power and Energy, DK2800 Lyngby, DenmarkGlobal Energy Interconnection Research Institute Europe GmbH, 10117 Berlin, GermanyThis paper applies a robust optimization technique for coordinating reserve allocations in multiple-cell based power systems. The linear decision rules (LDR)-based policies were implemented to achieve the reserve robustness, and consist of a nominal power schedule with a series of linear modifications. The LDR method can effectively adapt the participation factors of reserve providers to respond to system imbalance signals. The policies considered the covariance of historic system imbalance signals to reduce the overall reserve cost. When applying this method to the cell-based power system for a certain horizon, the influence of different time resolutions on policy-making is also investigated, which presents guidance for its practical application. The main results illustrate that: (a) the LDR-based method shows better performance, by producing smaller reserve costs compared to the costs given by a reference method; and (b) the cost index decreases with increased time intervals, however, longer intervals might result in insufficient reserves, due to low time resolution. On the other hand, shorter time intervals require heavy computational time. Thus, it is important to choose a proper time interval in real time operation to make a trade off.http://www.mdpi.com/1996-1073/11/2/381linear decision rulesoptimal reserve allocationrobust optimizationweb of cells |
| spellingShingle | Junjie Hu Tian Lan Kai Heussen Mattia Marinelli Alexander Prostejovsky Xianzhang Lei Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System Energies linear decision rules optimal reserve allocation robust optimization web of cells |
| title | Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System |
| title_full | Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System |
| title_fullStr | Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System |
| title_full_unstemmed | Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System |
| title_short | Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System |
| title_sort | robust allocation of reserve policies for a multiple cell based power system |
| topic | linear decision rules optimal reserve allocation robust optimization web of cells |
| url | http://www.mdpi.com/1996-1073/11/2/381 |
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