| 引用本文: | 魏于凯,贺 春,陈 卓,等.基于熵权-TOPSIS模型的构网型储能性能评估系统的开发测试[J].电力系统保护与控制,2025,53(16):159-168.[点击复制] |
| WEI Yukai,HE Chun,CHEN Zhuo,et al.Development and testing of grid forming energy storage performance evaluation system based on entropy-weight TOPSIS model[J].Power System Protection and Control,2025,53(16):159-168[点击复制] |
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| 摘要: |
| 针对构网型储能(grid-forming energy storage, GFES)市场的快速发展和产品质量的不均衡性，提出了一种基于熵权-TOPSIS (technique for order preference by similarity to an ideal solution)模型的GFES系统性能评估方法，设计并开发了融合产品性能测试与多维度评价的GFES评估系统平台。首先，选取惯量支撑、一次调频、低电压穿越和能量转换4项关键性指标作为GFES性能评估体系，并给出了相应的测试方法和量化指标。然后，详细介绍了测试评估系统的硬件环境和软件平台，通过简化传统的人工测试方法提高检测效率。最后，利用GFES的实测波形作为样本数据对评估系统平台进行实验验证，并通过对不同类型和功率等级的GFES进行量化对比分析，证明了评估系统检测的准确性和评价体系模型的有效性，为推动GFES技术的应用和发展提供了有力的支撑。 |
| 关键词: 熵权-TOPSIS模型 构网型储能 指标体系 性能检测 评估系统 |
| DOI：10.19783/j.cnki.pspc.241009 |
| 投稿时间：2024-07-30修订日期：2024-10-29 |
| 基金项目:河南省科技攻关项目资助(232102240102) |
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| Development and testing of grid forming energy storage performance evaluation system based on entropy-weight TOPSIS model |
| WEI Yukai,HE Chun,CHEN Zhuo,LI Zongyuan,GUO Yinyuan |
| (Xuchang KETOP Testing Research Institute Co., Ltd., Xuchang 461000, China) |
| Abstract: |
| In response to the rapid development of the grid forming energy storage (GFES) market and the inconsistency in product quality, this paper proposes a performance evaluation method for GFES based on the entropy-weight TOPSIS (technique for order preference by similarity to an ideal solution) model. A GFES evaluation system platform that integrates product testing and multi-dimensional evaluation is designed and developed. First, four key indicators are selected to construct the performance evaluation system for GFES, including inertia support, primary frequency regulation, low-voltage ride through, and energy conversion. Corresponding testing methods and quantitative indicators are provided. Then, the hardware environment and software platform of the testing and evaluation system are introduced in detail, and the detection efficiency is improved by simplifying traditional manual testing methods. Finally, real waveform from GFES are used as sample data to experimentally verify the evaluation system platform, and a quantitative comparative analysis is conducted across different GFES types and power levels, demonstrating the accuracy of the evaluation system and the effectiveness of the evaluation model. The system provides strong support for the advancement and adoption of GFES technologies. |
| Key words: entropy-weight TOPSIS model GFES indicator system performance testing evaluation system |
