COMPREHENSIVE EVALUATION OF GRID-CONNECTED COMPRESSED AIR ENERGY STORAGE BENEFITS BASED ON MULTI-DIMENSIONAL METRICS AND MULTI-TIME-SCALE COUPLED SCHEDULING

Zhang Xiuqi, Li Hui, Lai Wei, Liao Qinglong, Li Yongfu

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (7) : 306-317.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (7) : 306-317. DOI: 10.19912/j.0254-0096.tynxb.2025-0339

COMPREHENSIVE EVALUATION OF GRID-CONNECTED COMPRESSED AIR ENERGY STORAGE BENEFITS BASED ON MULTI-DIMENSIONAL METRICS AND MULTI-TIME-SCALE COUPLED SCHEDULING

  • Zhang Xiuqi1, Li Hui1, Lai Wei1, Liao Qinglong2, Li Yongfu2
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Abstract

In response to the issue of one-sided assessment results caused by the disconnection between optimization scheduling objectives and evaluation indicators in the current comprehensive evaluation system for energy storage, this study focuses on compressed air energy storage (CAES), a key flexible resource in the new power system. It proposes a comprehensive quantitative evaluation method for the grid-connected benefits of CAES based on multi-dimensional indicators and multi-time scale coupled collaborative optimization scheduling. First, a multi-dimensional evaluation indicator system is constructed, which includes economic, low-carbon, and stability indicators. Next, these indicators are separately set as objectives for day-ahead, intraday, and real-time scheduling, establishing a collaborative optimization scheduling model that couples multi-dimensional indicators with multi-time scales. Furthermore, a quantitative analysis model for each evaluation indicator of CAES is developed based on scenario comparison methods, and a comprehensive evaluation model is constructed using the Analytic Hierarchy Process, entropy weight method, and Technique for Order Preference by Similarity to Ideal Solution. Finally, a comprehensive evaluation study is conducted on the grid-connected operational benefits of CAES under different operating scenarios. The results indicate that, compared to traditional comprehensive evaluation methods that focus solely on economic optimization scheduling based on day-ahead considerations, the proposed evaluation method achieves a higher comprehensive evaluation score and effectively addresses the issue of excessively high scores in the economic benefit dimension found in traditional evaluation methods, achieving a balanced consideration of multi-dimensional evaluation indicators.

Key words

compressed air energy storage / renewable energy / scheduling algorithms / evaluation indicator system / multi-time scale / comprehensive evaluation

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Zhang Xiuqi, Li Hui, Lai Wei, Liao Qinglong, Li Yongfu. COMPREHENSIVE EVALUATION OF GRID-CONNECTED COMPRESSED AIR ENERGY STORAGE BENEFITS BASED ON MULTI-DIMENSIONAL METRICS AND MULTI-TIME-SCALE COUPLED SCHEDULING[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 306-317 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0339

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