Supplementary automatic generation control using controllable energy storage in electric vehicle battery swapping stations
One of the significant impacts of the growing penetration of intermittent renewable energy sources is upon the frequency response of power system. Compared with the dispersive electric vehicle energy storage, electric vehicle battery swapping station (BSS), as an emerging form of storage, can provid...
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| Published in | IET generation, transmission & distribution Vol. 10; no. 4; pp. 1107 - 1116 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
The Institution of Engineering and Technology
10.03.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1751-8687 1751-8695 |
| DOI | 10.1049/iet-gtd.2015.0167 |
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| Abstract | One of the significant impacts of the growing penetration of intermittent renewable energy sources is upon the frequency response of power system. Compared with the dispersive electric vehicle energy storage, electric vehicle battery swapping station (BSS), as an emerging form of storage, can provide a more reliable supplementary regulation service for frequency control. This study has proposed a new supplementary automatic generation control (AGC) strategy using controllable energy storage in BSSs, referred to as station-to-grid (S2G). A Monte–Carlo stochastic simulation method is utilised to estimate the equivalent controllable capacity (CC) of BSSs, and then the lumped S2G equivalent model subject to SOC limits and CC constrains is presented. A filter-based AGC coordinated strategy is used to allocate the regulation power between generators and BSSs. The proposed AGC strategy is validated in a two-area interconnected power system with significant load and wind power fluctuations. Comparison analysis demonstrates the availability of the proposed models and control methods. |
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| AbstractList | One of the significant impacts of the growing penetration of intermittent renewable energy sources is upon the frequency response of power system. Compared with the dispersive electric vehicle energy storage, electric vehicle battery swapping station (BSS), as an emerging form of storage, can provide a more reliable supplementary regulation service for frequency control. This study has proposed a new supplementary automatic generation control (AGC) strategy using controllable energy storage in BSSs, referred to as station-to-grid (S2G). A Monte-Carlo stochastic simulation method is utilised to estimate the equivalent controllable capacity (CC) of BSSs, and then the lumped S2G equivalent model subject to SOC limits and CC constrains is presented. A filter-based AGC coordinated strategy is used to allocate the regulation power between generators and BSSs. The proposed AGC strategy is validated in a two-area interconnected power system with significant load and wind power fluctuations. Comparison analysis demonstrates the availability of the proposed models and control methods. |
| Author | Shi, Dongyuan Zhu, Lin Duan, Xianzhong Xie, Pingping Li, Yinhong |
| Author_xml | – sequence: 1 givenname: Pingping surname: Xie fullname: Xie, Pingping organization: 1State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China – sequence: 2 givenname: Yinhong surname: Li fullname: Li, Yinhong email: liyinhong@hust.edu.cn organization: 1State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China – sequence: 3 givenname: Lin surname: Zhu fullname: Zhu, Lin organization: 2Department of Electrical Engineering and Computer Science, University of Tennessee at Knoxville, Knoxville, TN, USA – sequence: 4 givenname: Dongyuan surname: Shi fullname: Shi, Dongyuan organization: 1State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China – sequence: 5 givenname: Xianzhong surname: Duan fullname: Duan, Xianzhong organization: 1State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, People's Republic of China |
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| Copyright | The Institution of Engineering and Technology 2016 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | station-to-grid electric vehicles filter-based AGC coordinated strategy two-area interconnected power system power generation control frequency control lumped S2G equivalent model load power fluctuations wind power fluctuations regulation power controllable energy storage Monte Carlo methods wind power energy storage power system interconnection controllable capacity Monte-Carlo stochastic simulation supplementary automatic generation control electric vehicle battery swapping stations |
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| SubjectTerms | Automatic control Computer simulation controllable capacity controllable energy storage Electric batteries electric vehicle battery swapping stations Electric vehicles Energy storage Equivalence filter‐based AGC coordinated strategy frequency control load power fluctuations lumped S2G equivalent model Monte Carlo methods Monte‐Carlo stochastic simulation power generation control power system interconnection regulation power Stations station‐to‐grid Strategy supplementary automatic generation control two‐area interconnected power system wind power wind power fluctuations |
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| Title | Supplementary automatic generation control using controllable energy storage in electric vehicle battery swapping stations |
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