Research of optimal allocation methods for charging station optimisation with multioperating scenarios collaboration
With the push for carbon neutrality and advances in technology, optimizing photovoltaic-storage configurations in charging stations has become vital for integrated energy-infrastructure development. This review outlines key theories and methods for coordinating PV-storage systems under multiple operating scenarios, including unified PV-storage optimization, dispatch strategies, and scenario-based coordination. It highlights the use of mathematical programming, heuristics, and data-driven forecasting. Practical strategies such as capacity planning and real-time scheduling are summarized, demonstrating the benefits of PV-storage coordination in reducing costs and improving system efficiency and resilience. The review also discusses challenges like balancing cost and performance, handling complex scenarios, and managing forecast uncertainties, while proposing a unified optimization framework for future development.
Authors
- Qingming Lin
- Liming Wang (ORCID: https://orcid.org/0000-0002-5562-8386)
- Tengfei Li (ORCID: https://orcid.org/0000-0002-8378-7130)
- Wenhui Zhang (ORCID: https://orcid.org/0000-0003-1384-6825)
Publication Details
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1117/12.3077077
- Primary Topic
- Wireless Communication Networks Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00