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.

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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
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Research of optimal allocation methods for charging station optimisation with multioperating scenarios collaboration

Qingming Lin, Liming Wang, Tengfei Li, Wenhui Zhang
Wireless Communication Networks Research
article

Research of optimal allocation methods for charging station optimisation with multioperating scenarios collaboration

Qingming Lin, Liming Wang, Tengfei Li, Wenhui Zhang
article en

Abstract

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.

Openalex Percentile: Top 66%
Wireless Communication Networks Research
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