Comprehensive Evaluation Method for Shared Energy Storage Systems in High-Penetration Renewable Energy Scenarios

A multidimensional evaluation framework for shared energy storage business models in high-penetration renewable energy scenarios is established, integrating economic benefits, environmental performance, market dynamics, and social impacts. The methodology combines the Criteria Importance Through Intercriteria Correlation (CRITIC) method with an enhanced Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). This integrated approach enables horizontal comparisons among alternative schemes and longitudinal gap analysis against target objectives. Empirical validation using operational data from a shared energy storage trading pilot demonstrates effective reflection of operational realities while identifying existing challenges and development trends.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/icceee63357.2025.11156629
Primary Topic
Power Systems and Renewable Energy
Type
article
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Comprehensive Evaluation Method for Shared Energy Storage Systems in High-Penetration Renewable Energy Scenarios

Yingjie Zheng, Lingfeng Mao, Tengfei Lv, Yimeng Zhang et al.
Power Systems and Renewable Energy
article

Comprehensive Evaluation Method for Shared Energy Storage Systems in High-Penetration Renewable Energy Scenarios

Yingjie Zheng, Lingfeng Mao, Tengfei Lv, Yimeng Zhang, Junhui Li, Shuangming Duan, Chun‐Hao Chang, Lin Lei
article en

Abstract

A multidimensional evaluation framework for shared energy storage business models in high-penetration renewable energy scenarios is established, integrating economic benefits, environmental performance, market dynamics, and social impacts. The methodology combines the Criteria Importance Through Intercriteria Correlation (CRITIC) method with an enhanced Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). This integrated approach enables horizontal comparisons among alternative schemes and longitudinal gap analysis against target objectives. Empirical validation using operational data from a shared energy storage trading pilot demonstrates effective reflection of operational realities while identifying existing challenges and development trends.

Electric Power University (VN), Wind Power Engineering (Japan) (JP)
Openalex Percentile: Top 73%
Power Systems and Renewable Energy
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