Pre-configuration Method and Scheduling Strategy of Distribution Network Mobile Energy Storage Vehicle Considering Intermittent Load of Rural Network
Aiming at the problem of heavy overload in the distribution station area during the peak period of energy consumption caused by intermittent loads such as agricultural motor wells, the mobile energy storage technology is considered to meet the agricultural power demand, and a two-stage mobile energy storage vehicle pre configuration and dynamic adjustment strategy of "Rural busy power energization" and "rural idle distributed energy storage" is proposed, taking into account the guarantee of load power demand and the efficiency and economy of energy storage. Firstly, the mathematical model of agricultural motor well load considering the time shift characteristics and the mobile energy storage vehicle model considering the power supply time constraint are established; Secondly, a multi-stage mobile energy storage configuration and scheduling strategy is established. In the Rural busy power generation stage, the mobile energy storage vehicle capacity is configured with the minimum daily power supply cost as the goal, and the power supply path is optimized with the highest charge state consistency at the completion of power supply as the goal; At the stage of distributed energy storage in rural slack, the collaborative optimization of mobile energy storage vehicles participating in multi scenario power services is carried out with the goal of maximizing the annual net income. Finally, the proposed two-stage strategy has certain economic benefits under the premise of meeting the power demand of the load, which is verified by combining the power consumption data of wells in Jilin Province and IEEE 33 bus system simulation.
Authors
- Xin Yin (ORCID: https://orcid.org/0000-0002-2135-4399)
- Xiaoming Lu (ORCID: https://orcid.org/0000-0002-0830-2826)
- Xinhong Wang (ORCID: https://orcid.org/0000-0002-3082-7645)
- Xin Xu (ORCID: https://orcid.org/0000-0002-6710-1055)
- Yiwen Yao (ORCID: https://orcid.org/0000-0002-0826-3249)
- Dingheng Wang (ORCID: https://orcid.org/0009-0002-1189-1876)
- Hao Li (ORCID: https://orcid.org/0009-0006-0463-0722)
Institutions
- North China Electric Power University (CN)
- Northeast Electric Power University (CN)
- Jilin Electric Power Research Institute (China) (CN)
Publication Details
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1109/icedcs64328.2024.00131
- Citations
- 1
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- Science and Technology Project of State Grid