Mobile Energy Storage Spatio-temporal Dispatch in Low-carbon Distribution Networks
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| Publicado en: | Journal of Physics: Conference Series vol. 3012, no. 1 (Jun 2025), p. 012024 |
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| Autor principal: | |
| Otros Autores: | , , , |
| Publicado: |
IOP Publishing
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3219321200 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1742-6588 | ||
| 022 | |a 1742-6596 | ||
| 024 | 7 | |a 10.1088/1742-6596/3012/1/012024 |2 doi | |
| 035 | |a 3219321200 | ||
| 045 | 2 | |b d20250601 |b d20250630 | |
| 100 | 1 | |a Liu, Jinsong |u State Grid Shanghai Electric Power Research Institute , NO. 171 Handan Rd Shanghai, 200433, P.R.China | |
| 245 | 1 | |a Mobile Energy Storage Spatio-temporal Dispatch in Low-carbon Distribution Networks | |
| 260 | |b IOP Publishing |c Jun 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a As the proportion of new energy generation increases, optimizing the scheduling of energy storage devices to achieve decarbonized grid operation becomes a key issue. This paper proposes a low-carbon joint dispatch optimization model based on mobile energy storage. By constructing a spatio-temporal network model of the energy storage device, the charging and discharging behaviors, mobility characteristics, distribution network current constraints, and carbon emission factors of the energy storage device are considered comprehensively to optimize its operation. With the objective of minimizing the operating cost and carbon emission, the model adopts the mixed integer programming method to optimize the variables such as the movement path, charging and discharging power, and the state of the energy storage device. The model introduces the carbon emission factor of gas turbine and grid power purchase, combines the scheduling of energy storage devices with the low-carbon objective, and ensures the feasibility of the scheme through the tidal current constraints, SOC limits and path continuity constraints. The example results show that the proposed model effectively reduces the grid operation cost and carbon emission, while enhancing the capacity of renewable energy consumption, providing a new idea for the application of mobile energy storage in low-carbon grid scheduling. | |
| 653 | |a Carbon content | ||
| 653 | |a Discharge | ||
| 653 | |a Integer programming | ||
| 653 | |a Scheduling | ||
| 653 | |a Carbon | ||
| 653 | |a Charging | ||
| 653 | |a Emissions | ||
| 653 | |a Energy storage | ||
| 653 | |a Mixed integer | ||
| 653 | |a Operating costs | ||
| 653 | |a Energy consumption | ||
| 653 | |a Constraints | ||
| 653 | |a Tidal currents | ||
| 653 | |a Gas turbines | ||
| 653 | |a Optimization models | ||
| 700 | 1 | |a Huang, Bo |u University of Shanghai for Science and Technology , NO. 516 Jungong Rd, Shanghai, 200093, P.R.China | |
| 700 | 1 | |a Liu, Shu |u State Grid Shanghai Electric Power Research Institute , NO. 171 Handan Rd Shanghai, 200433, P.R.China | |
| 700 | 1 | |a Chen, Fang |u State Grid Shanghai Electric Power Research Institute , NO. 171 Handan Rd Shanghai, 200433, P.R.China | |
| 700 | 1 | |a Xing Lei |u State Grid Shanghai Electric Power Research Institute , NO. 171 Handan Rd Shanghai, 200433, P.R.China | |
| 773 | 0 | |t Journal of Physics: Conference Series |g vol. 3012, no. 1 (Jun 2025), p. 012024 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3219321200/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3219321200/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |