A Two-Stage Optimal Operation Strategy of Distribution Networks Considering Mobile Energy Storage Flexibility
The spatiotemporal energy-shifting and moving flexibility of mobile energy storage (MES) can be explored to effectively support the operation security and resilience of distribution network. With this regard, a discrete multilayer spatiotemporal coupled network is first established to model the power charging/discharging, energy-shifting and moving-trajectory coupling of MESs; then a two-stage optimal operation strategy of distribution network simutaneously considering the operation flexibility of MESs and distributed generators (DGs) is proposed. In the first stage, the optimized connecting points of MES and optimal power output of DGs are optimized to achieve the minimum distribution network load shedding cost during fault; in the second stage, MES moving trajectory and charging/discharging power, as well as the power output of DGs are collaboratively optimized to minimize the comprehensive operation cost of the distribution network in post-fault. Finally, the effectiveness of the proposed two-stage optimal operation strategy considering MES flexibility was verified by the IEEE 33-bus network. Compared to scheme 2 with location-fixed energy storage and scheme 3 with DGs, the proposed approach reduced the load shedding costs by 4.5% and 2.2%, with the distribution network comprehensive operation costs decreased by 3.7% and 10%, respectively.
Authors
- Lei Tao (ORCID: https://orcid.org/0000-0001-6394-2087)
- Zhe Chen (ORCID: https://orcid.org/0000-0001-6469-0037)
- Jiangping Jing
- Shiwei Xia (ORCID: https://orcid.org/0000-0003-1272-210X)
- Chen Li (ORCID: https://orcid.org/0000-0001-7634-7834)
- Yuanyuan Wang (ORCID: https://orcid.org/0000-0002-9729-2040)
- Rui Wang (ORCID: https://orcid.org/0000-0001-9048-2979)
- Peng Wang (ORCID: https://orcid.org/0000-0003-4302-1111)
- Da Lin (ORCID: https://orcid.org/0000-0002-9149-0644)
Institutions
- North China Electric Power University (CN)
Publication Details
- Journal
- IEEE Transactions on Industry Applications
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1109/tia.2025.3574049
- Citations
- 1
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.73