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Dynamic Assessment of Photovoltaic-Storage Integrated Energy Stations Health Incorporating Subjective and Objective Characteristics

Author

Listed:
  • Xin Wang

    (National Electric Power Conversion and Control Engineering Technology Research Center, Hunan University, Changsha 410012, China)

  • Fan Xiao

    (National Electric Power Conversion and Control Engineering Technology Research Center, Hunan University, Changsha 410012, China)

  • Chunming Tu

    (National Electric Power Conversion and Control Engineering Technology Research Center, Hunan University, Changsha 410012, China)

  • Qi Guo

    (National Electric Power Conversion and Control Engineering Technology Research Center, Hunan University, Changsha 410012, China)

  • Yuchao Hou

    (National Electric Power Conversion and Control Engineering Technology Research Center, Hunan University, Changsha 410012, China)

  • Zheng Lan

    (National Electric Power Conversion and Control Engineering Technology Research Center, Hunan University, Changsha 410012, China)

Abstract

Photovoltaic-storage integrated systems, which combine distributed photovoltaics with energy storage, play a crucial role in distributed energy systems. Evaluating the health status of photovoltaic-storage integrated energy stations in a reasonable manner is essential for enhancing their safety and stability. To achieve an accurate and continuous assessment of the health status of photovoltaic-storage integrated energy stations, a dynamic evaluation method is proposed in this study. This method integrates both subjective and objective characteristics. Initially, considering the evaluation needs of low-carbon operation and health status for photovoltaic-storage integrated energy stations, a comprehensive health status evaluation system is developed. The significance of each indicator is subjectively analyzed, while also considering objective characteristics and sensitivity of indicators. The integration of subjective and objective characteristics is achieved using principles from game theory. Subsequently, through the establishment of the Grey-TOPSIS evaluation model, both positive and negative correlations of the health status of photovoltaic-storage integrated energy stations are determined, resulting in the derivation of a health status vector. Furthermore, the introduction of time-weight vectors and the incorporation of a time dimension enable dynamic evaluation and the comprehensive observation of health status. Finally, the scientific validity and effectiveness of the proposed evaluation method are demonstrated through practical examples, with comparisons made to traditional evaluation methods. The results clearly indicate that this method offers higher sensitivity when evaluating the health of photovoltaic-storage integrated energy stations.

Suggested Citation

  • Xin Wang & Fan Xiao & Chunming Tu & Qi Guo & Yuchao Hou & Zheng Lan, 2024. "Dynamic Assessment of Photovoltaic-Storage Integrated Energy Stations Health Incorporating Subjective and Objective Characteristics," Sustainability, MDPI, vol. 16(4), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1646-:d:1340115
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    References listed on IDEAS

    as
    1. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).
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    3. Leng, Ya-Jun & Peng, Dan & Zhang, Huan, 2023. "Integrated energy system evaluation method based on dimensionality reduction and indexes updating with incomplete information," Energy, Elsevier, vol. 277(C).
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