Virtual energy storage sharing based multiple renewable energy stations cooperation to improve relisience of power system
Extreme weather events can result in substantial economic losses to distribution networks. Enhancing the resilience of distribution networks is crucial for swiftly restoring power supply and mitigating economic losses. Consequently, this paper proposes a novel renewable energy station that relies on virtual energy storage (VES) sharing to bolster the resilience strategy of the power grid. Firstly, a peer-to-peer (P2P) transaction framework is devised. Within this framework, users in the distribution system can manage and allocate electrical energy in accordance with load demand, thereby facilitating the coordinated scheduling of power grids through renewable energy stations. Subsequently, a VES sharing model, which integrates mobile energy storage (MES) and flexible load, is introduced. Leveraging the transferable and reducible characteristics of demand-side flexible loads, the system’s resilience is enhanced by optimizing the routing and charging/discharging power of the MES. Through scenario comparisons, the coordinated scheduling impacts to improve the grid resilience of renewable energy stations are analyzed. Moreover, the judicious scheduling of VES is demonstrated to effectively reduce system losses and expedite power restoration. Finally, an illustrative example is presented to validate the efficacy of the new energy station coordination strategy based on VES sharing in enhancing the power grid’s resilience.
Authors
- Qingquan Lv
- Ruixiao Zhang (ORCID: https://orcid.org/0009-0009-1382-6200)
- Zhenzhen Zhang (ORCID: https://orcid.org/0000-0002-9885-7453)
- Jinping Zhang (ORCID: https://orcid.org/0000-0001-9223-643X)
- Pengfei Gao (ORCID: https://orcid.org/0000-0002-8093-5062)
- Long Zhi Zhao
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/icepg63230.2024.10775778
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00