Chance-constrained energy-reserve co-optimization scheduling of wind-photovoltaic-hydrogen integrated energy systems
An optimal energy-reserve scheduling model of wind-photovoltaic-hydrogen integrated energy systems (WPH-IES) with multi-type energy storage devices including electric, thermal and hydrogen is presented in this paper. The chance-constrained programming (CCP) theory is utilized to model the impact of...
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| Published in: | International journal of hydrogen energy Vol. 48; no. 19; pp. 6892 - 6905 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.03.2023
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| ISSN: | 0360-3199, 1879-3487 |
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| Abstract | An optimal energy-reserve scheduling model of wind-photovoltaic-hydrogen integrated energy systems (WPH-IES) with multi-type energy storage devices including electric, thermal and hydrogen is presented in this paper. The chance-constrained programming (CCP) theory is utilized to model the impact of renewable and load uncertainties on reserve constraints. Considering the non-convex of proposed CCP model, an improved discretized step transformation (DST) method is proposed to transform the CCP problem into a solvable mixed integer linear programming (MILP) formulation. In addition, a critical threshold value selection approach is developed to reduce the number of constraints and improve solution efficiency. Case studies demonstrate that the proposed energy-reserve model can reduce the total operating cost on the premise of ensuring the safety of system operation. The combined improved DST and critical threshold value selection method can reduce computational burden and improve the accuracy of scheduling results.
•An optimal energy-reserve scheduling model of WPH-IES is proposed.•The multi-type energy storage devices are considered.•An improved discretized step transformation method is proposed. |
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| AbstractList | An optimal energy-reserve scheduling model of wind-photovoltaic-hydrogen integrated energy systems (WPH-IES) with multi-type energy storage devices including electric, thermal and hydrogen is presented in this paper. The chance-constrained programming (CCP) theory is utilized to model the impact of renewable and load uncertainties on reserve constraints. Considering the non-convex of proposed CCP model, an improved discretized step transformation (DST) method is proposed to transform the CCP problem into a solvable mixed integer linear programming (MILP) formulation. In addition, a critical threshold value selection approach is developed to reduce the number of constraints and improve solution efficiency. Case studies demonstrate that the proposed energy-reserve model can reduce the total operating cost on the premise of ensuring the safety of system operation. The combined improved DST and critical threshold value selection method can reduce computational burden and improve the accuracy of scheduling results.
•An optimal energy-reserve scheduling model of WPH-IES is proposed.•The multi-type energy storage devices are considered.•An improved discretized step transformation method is proposed. |
| Author | Su, Yunche Xiang, Yue Xu, Weiting Liu, Jiawei Li, Ting Wu, Gang Liu, Fang |
| Author_xml | – sequence: 1 givenname: Gang surname: Wu fullname: Wu, Gang email: scu_gw@163.com organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 2 givenname: Ting surname: Li fullname: Li, Ting organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 3 givenname: Weiting surname: Xu fullname: Xu, Weiting organization: Sichuan New Electric Power System Research Institute, Chendgdu, 610041, China – sequence: 4 givenname: Yue orcidid: 0000-0001-8456-1195 surname: Xiang fullname: Xiang, Yue email: xiang@scu.edu.cn organization: College of Electrical Engineering, Sichuan University, Chengdu, 610065, China – sequence: 5 givenname: Yunche surname: Su fullname: Su, Yunche organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 6 givenname: Jiawei surname: Liu fullname: Liu, Jiawei organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China – sequence: 7 givenname: Fang surname: Liu fullname: Liu, Fang organization: State Grid Sichuan Economic Research Institute, Chengdu, 610041, China |
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| Keywords | Reserve scheduling Discretized step transformation (DST) Uncertainties Wind-photovoltaic-hydrogen integrated energy system (WPH-IES) Chance-constrained programming (CCP) |
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| SubjectTerms | Chance-constrained programming (CCP) Discretized step transformation (DST) Reserve scheduling Uncertainties Wind-photovoltaic-hydrogen integrated energy system (WPH-IES) |
| Title | Chance-constrained energy-reserve co-optimization scheduling of wind-photovoltaic-hydrogen integrated energy systems |
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