Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks
The operation characteristics of energy storage can help the distribution network absorb more renewable energy while improving the safety and economy of the power system. Mobile energy storage systems (MESSs) have a broad application market compared with stationary energy storage systems and electri...
| 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/9953927/ |
| _version_ | 1811319136453656576 |
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| author | Weiqing Sun Wei Liu Jie Zhang Kunpeng Tian |
| author_facet | Weiqing Sun Wei Liu Jie Zhang Kunpeng Tian |
| author_sort | Weiqing Sun |
| collection | DOAJ |
| description | The operation characteristics of energy storage can help the distribution network absorb more renewable energy while improving the safety and economy of the power system. Mobile energy storage systems (MESSs) have a broad application market compared with stationary energy storage systems and electric vehicles due to their flexible mobility and good dispatch ability. However, when urban traffic flows rise, the congested traffic environment will prolong the transit time of MESS, which will ultimately affect the operation state of the power networks and the economic benefits of MESS. This paper proposes a bi-level optimization model for the economic operation of MESS in coupled transportation-power networks, considering road congestion and the operation constraints of the power networks. The upper-level model depicts the daily operation scheme of MESS devised by the distribution network operator (DNO) in order to maximize the total revenue of the system. With fuzzy time windows and fuzzy road congestion indexes, the lower-level model optimizes the route for the transit problem of MESS. Therefore, road congestion that affects the transit time of MESS can be fully incorporated in the optimal operation scheme. Both the IEEE 33-bus distribution network and the 29-node transportation network are used to verify and examine the effectiveness of the proposed model. The simulation results demonstrate that the operation scheme of MESS will avoid the congestion period when considering road congestion. Besides, the transit energy consumption and the impact of the traffic environment on the economic benefits of MESS can be reduced. |
| first_indexed | 2024-04-13T12:37:47Z |
| format | Article |
| id | doaj.art-fe7c586076084649ae13dda2d592ff39 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-04-13T12:37:47Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-fe7c586076084649ae13dda2d592ff392022-12-22T02:46:37ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202022-01-011061725173710.35833/MPCE.2020.0007309953927Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power NetworksWeiqing Sun0Wei Liu1Jie Zhang2Kunpeng Tian3School of Mechanical Engineering, University of Shanghai for Science and Technology,Shanghai,China,200093School of Mechanical Engineering, University of Shanghai for Science and Technology,Shanghai,China,200093School of Mechanical Engineering, University of Shanghai for Science and Technology,Shanghai,China,200093School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology,Shanghai,China,200093The operation characteristics of energy storage can help the distribution network absorb more renewable energy while improving the safety and economy of the power system. Mobile energy storage systems (MESSs) have a broad application market compared with stationary energy storage systems and electric vehicles due to their flexible mobility and good dispatch ability. However, when urban traffic flows rise, the congested traffic environment will prolong the transit time of MESS, which will ultimately affect the operation state of the power networks and the economic benefits of MESS. This paper proposes a bi-level optimization model for the economic operation of MESS in coupled transportation-power networks, considering road congestion and the operation constraints of the power networks. The upper-level model depicts the daily operation scheme of MESS devised by the distribution network operator (DNO) in order to maximize the total revenue of the system. With fuzzy time windows and fuzzy road congestion indexes, the lower-level model optimizes the route for the transit problem of MESS. Therefore, road congestion that affects the transit time of MESS can be fully incorporated in the optimal operation scheme. Both the IEEE 33-bus distribution network and the 29-node transportation network are used to verify and examine the effectiveness of the proposed model. The simulation results demonstrate that the operation scheme of MESS will avoid the congestion period when considering road congestion. Besides, the transit energy consumption and the impact of the traffic environment on the economic benefits of MESS can be reduced.https://ieeexplore.ieee.org/document/9953927/Mobile energy storage systemeconomic dispatchbi-level optimization modelroad congestionfuzzy constraint |
| spellingShingle | Weiqing Sun Wei Liu Jie Zhang Kunpeng Tian Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks Journal of Modern Power Systems and Clean Energy Mobile energy storage system economic dispatch bi-level optimization model road congestion fuzzy constraint |
| title | Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks |
| title_full | Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks |
| title_fullStr | Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks |
| title_full_unstemmed | Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks |
| title_short | Bi-level Optimal Operation Model of Mobile Energy Storage System in Coupled Transportation-power Networks |
| title_sort | bi level optimal operation model of mobile energy storage system in coupled transportation power networks |
| topic | Mobile energy storage system economic dispatch bi-level optimization model road congestion fuzzy constraint |
| url | https://ieeexplore.ieee.org/document/9953927/ |
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