A feasible region evaluation method of renewable energy accommodation capacity
Power systems operate under energy and climate policies with the targets of carbon neutrality and CO2 emissions reduction in recent years. To mitigate environmental problems, it is important to promote the accommodation of renewable energy with strong fluctuations through hosting capacity evaluation...
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| Vydané v: | Energy reports Ročník 7; s. 1513 - 1520 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.11.2021
Elsevier |
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| ISSN: | 2352-4847, 2352-4847 |
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| Abstract | Power systems operate under energy and climate policies with the targets of carbon neutrality and CO2 emissions reduction in recent years. To mitigate environmental problems, it is important to promote the accommodation of renewable energy with strong fluctuations through hosting capacity evaluation of the distribution network. A feasible region evaluation method is proposed to characterize an accurate region of renewable energy accommodation capacity in the distribution network on short-time scales. The evaluation model based on the optimal power flow model is established with the objective of minimizing the operating cost of the distribution network, satisfying the operational constraints. Through multi-parametric programming, the constraints of the optimal power flow model are projected onto the boundary of the feasible region. Each operation point (the renewable generator output) in the feasible region can be directly obtained, which can serve for real-time dispatch with safety. Simulation results show that the proposed method can accurately obtain the feasible region of renewable energy accommodation capacity and the computational efficiency has been greatly improved compared with the Monte Carlo method. |
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| AbstractList | Power systems operate under energy and climate policies with the targets of carbon neutrality and CO2 emissions reduction in recent years. To mitigate environmental problems, it is important to promote the accommodation of renewable energy with strong fluctuations through hosting capacity evaluation of the distribution network. A feasible region evaluation method is proposed to characterize an accurate region of renewable energy accommodation capacity in the distribution network on short-time scales. The evaluation model based on the optimal power flow model is established with the objective of minimizing the operating cost of the distribution network, satisfying the operational constraints. Through multi-parametric programming, the constraints of the optimal power flow model are projected onto the boundary of the feasible region. Each operation point (the renewable generator output) in the feasible region can be directly obtained, which can serve for real-time dispatch with safety. Simulation results show that the proposed method can accurately obtain the feasible region of renewable energy accommodation capacity and the computational efficiency has been greatly improved compared with the Monte Carlo method. Power systems operate under energy and climate policies with the targets of carbon neutrality and CO2emissions reduction in recent years. To mitigate environmental problems, it is important to promote the accommodation of renewable energy with strong fluctuations through hosting capacity evaluation of the distribution network. A feasible region evaluation method is proposed to characterize an accurate region of renewable energy accommodation capacity in the distribution network on short-time scales. The evaluation model based on the optimal power flow model is established with the objective of minimizing the operating cost of the distribution network, satisfying the operational constraints. Through multi-parametric programming, the constraints of the optimal power flow model are projected onto the boundary of the feasible region. Each operation point (the renewable generator output) in the feasible region can be directly obtained, which can serve for real-time dispatch with safety. Simulation results show that the proposed method can accurately obtain the feasible region of renewable energy accommodation capacity and the computational efficiency has been greatly improved compared with the Monte Carlo method. |
| Author | Shi, Bochen Zhao, Jingyi Zhang, Dongdong Wang, Cheng Wu, Thomas Jian, Jiangyi Dai, Wei |
| Author_xml | – sequence: 1 givenname: Dongdong surname: Zhang fullname: Zhang, Dongdong – sequence: 2 givenname: Jingyi surname: Zhao fullname: Zhao, Jingyi – sequence: 3 givenname: Wei surname: Dai fullname: Dai, Wei email: weidai@gux.edu.cn – sequence: 4 givenname: Cheng surname: Wang fullname: Wang, Cheng – sequence: 5 givenname: Jiangyi surname: Jian fullname: Jian, Jiangyi – sequence: 6 givenname: Bochen surname: Shi fullname: Shi, Bochen – sequence: 7 givenname: Thomas surname: Wu fullname: Wu, Thomas |
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| Cites_doi | 10.1109/TPWRS.2015.2448663 10.1109/TSTE.2014.2347591 10.1049/iet-gtd.2016.0254 10.1109/TPWRS.2020.3015483 10.1109/TPWRS.2021.3101700 10.1016/j.energy.2019.115975 10.1109/TSG.2014.2313724 10.1109/ACPEE48638.2020.9136312 10.1109/TSG.2016.2594814 10.1109/TPWRS.2014.2305757 10.1109/TPWRS.2019.2938618 10.1109/PMAPS.2018.8440410 10.1109/TPWRS.2016.2633299 |
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| Keywords | Real-time dispatch Feasible region Renewable energy accommodation Multi-parametric programming theory |
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| SubjectTerms | Feasible region Multi-parametric programming theory Real-time dispatch Renewable energy accommodation |
| Title | A feasible region evaluation method of renewable energy accommodation capacity |
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