In the context of China’s vigorous development of hydrogen energy, the hydrogen energy market is poised to emerge. To address the issue of evaluating the value of micro-energy networks participating in the electricity-hydrogen market, this paper proposes an evaluation method based on an improved cloud model. This method effectively analyzes multiple indicators from aspects such as the electricity-hydrogen market, system operation quality, social effects, and system economics. The traditional cloud model is improved in terms of entropy, balancing the fuzziness and accuracy of grade boundaries. A 90% confidence interval for scores is proposed, which is more meaningful and referential compared to traditional evaluation methods. Through subjective and objective weight assignments, as well as the proposed improved cloud model method, various scenarios are evaluated, and corresponding confidence intervals are given. Comparing the results with those obtained from traditional evaluation methods, the validity and correctness of the proposed evaluation method are demonstrated. Based on the evaluation results, multiple improvement plans are proposed for scenarios with better performance. After calculation, the confidence intervals and evaluation results of the new scenarios are compared internally as well as with those before improvement. After analysis, better improvement plans are selected, demonstrating the referential significance of the confidence intervals for evaluating plans and project improvements.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

An Evaluation Method for Micro-energy Networks Participating in the Electricity-Hydrogen Market Based on Cloud Model

  • Haifeng Liang,
  • Xiaoqi Chen,
  • Lei Tan,
  • Minghao Ran,
  • Kaikai Shi

摘要

In the context of China’s vigorous development of hydrogen energy, the hydrogen energy market is poised to emerge. To address the issue of evaluating the value of micro-energy networks participating in the electricity-hydrogen market, this paper proposes an evaluation method based on an improved cloud model. This method effectively analyzes multiple indicators from aspects such as the electricity-hydrogen market, system operation quality, social effects, and system economics. The traditional cloud model is improved in terms of entropy, balancing the fuzziness and accuracy of grade boundaries. A 90% confidence interval for scores is proposed, which is more meaningful and referential compared to traditional evaluation methods. Through subjective and objective weight assignments, as well as the proposed improved cloud model method, various scenarios are evaluated, and corresponding confidence intervals are given. Comparing the results with those obtained from traditional evaluation methods, the validity and correctness of the proposed evaluation method are demonstrated. Based on the evaluation results, multiple improvement plans are proposed for scenarios with better performance. After calculation, the confidence intervals and evaluation results of the new scenarios are compared internally as well as with those before improvement. After analysis, better improvement plans are selected, demonstrating the referential significance of the confidence intervals for evaluating plans and project improvements.