Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable Energies
The high penetration of variable renewable energies requires the flexibility from both the generation and demand sides. This raises the necessity of modeling stochastic and flexible energy resources in power system operation. However, some distributed energy resources have both stochasticity and fle...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9539116/ |
| _version_ | 1811265692794617856 |
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| author | Hai Li Ning Zhang Yue Fan Ling Dong Pengcheng Cai |
| author_facet | Hai Li Ning Zhang Yue Fan Ling Dong Pengcheng Cai |
| author_sort | Hai Li |
| collection | DOAJ |
| description | The high penetration of variable renewable energies requires the flexibility from both the generation and demand sides. This raises the necessity of modeling stochastic and flexible energy resources in power system operation. However, some distributed energy resources have both stochasticity and flexibility, e.g., prosumers with distributed photovoltaics and energy storage, and plug-in electric vehicles with stochastic charging behavior and demand response capability. Such partly controllable participants pose challenges to modeling the aggregate behavior of large numbers of entities in power system operation. This paper proposes a new perspective on the aggregate modeling of such energy resources in power system operation. Specifically, a unified controllability-uncontrollability-decomposed model for various energy resources is established by modeling the controllable and uncontrollable parts of energy resources separately. Such decomposition enables the straightforward aggregate modeling of massive energy resources with different controllabilities by integrating their controllable components with linking constraints and uncontrollable components with dependent discrete convolution. Furthermore, a two-stage stochastic unit commitment model based on the proposed model for power system operation is established. The proposed model is tested using a three-bus system and real Qinghai provincial power grid of China. The result shows that this model is able to characterize at high accuracy the aggregate behavior of massive energy resources with different levels of controllability so that their flexibility can be fully explored. |
| first_indexed | 2024-04-12T20:28:36Z |
| format | Article |
| id | doaj.art-ac683d8315c24b6789dbd23160f2a96a |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-04-12T20:28:36Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-ac683d8315c24b6789dbd23160f2a96a2022-12-22T03:17:48ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202022-01-011051164117310.35833/MPCE.2020.0006749539116Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable EnergiesHai Li0Ning Zhang1Yue Fan2Ling Dong3Pengcheng Cai4State Key Laboratory of Power Systems, Tsinghua University,Department of Electrical Engineering,Beijing,China,100084State Key Laboratory of Power Systems, Tsinghua University,Department of Electrical Engineering,Beijing,China,100084Grid Qinghai Electric Power Co., Ltd.,Xining,ChinaGrid Qinghai Electric Power Co., Ltd.,Xining,ChinaState Grid Xinjiang Electric Power Co., Ltd.,Urumqi,ChinaThe high penetration of variable renewable energies requires the flexibility from both the generation and demand sides. This raises the necessity of modeling stochastic and flexible energy resources in power system operation. However, some distributed energy resources have both stochasticity and flexibility, e.g., prosumers with distributed photovoltaics and energy storage, and plug-in electric vehicles with stochastic charging behavior and demand response capability. Such partly controllable participants pose challenges to modeling the aggregate behavior of large numbers of entities in power system operation. This paper proposes a new perspective on the aggregate modeling of such energy resources in power system operation. Specifically, a unified controllability-uncontrollability-decomposed model for various energy resources is established by modeling the controllable and uncontrollable parts of energy resources separately. Such decomposition enables the straightforward aggregate modeling of massive energy resources with different controllabilities by integrating their controllable components with linking constraints and uncontrollable components with dependent discrete convolution. Furthermore, a two-stage stochastic unit commitment model based on the proposed model for power system operation is established. The proposed model is tested using a three-bus system and real Qinghai provincial power grid of China. The result shows that this model is able to characterize at high accuracy the aggregate behavior of massive energy resources with different levels of controllability so that their flexibility can be fully explored.https://ieeexplore.ieee.org/document/9539116/Aggregationdependent discrete convolutionflexibilitystochastic unit commitmentvirtual power plant |
| spellingShingle | Hai Li Ning Zhang Yue Fan Ling Dong Pengcheng Cai Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable Energies Journal of Modern Power Systems and Clean Energy Aggregation dependent discrete convolution flexibility stochastic unit commitment virtual power plant |
| title | Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable Energies |
| title_full | Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable Energies |
| title_fullStr | Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable Energies |
| title_full_unstemmed | Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable Energies |
| title_short | Decomposed Modeling of Controllable and Uncontrollable Components in Power Systems with High Penetration of Renewable Energies |
| title_sort | decomposed modeling of controllable and uncontrollable components in power systems with high penetration of renewable energies |
| topic | Aggregation dependent discrete convolution flexibility stochastic unit commitment virtual power plant |
| url | https://ieeexplore.ieee.org/document/9539116/ |
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