1.国网江苏省电力有限公司镇江供电分公司,江苏省 镇江市 212002
2.国网江苏省电力有限公司,江苏省 南京市 210019
3.东南大学电气工程学院,江苏省 南京市 210096
郑杨(1982),男,硕士,高级经济师,研究方向为电力需求侧管理、节能减碳、新能源发展应用,9249526@qq.com;
王雨薇(1993),女,硕士,工程师,研究方向为综合能源技术,本文通信作者,15262967080@163.com;
杨慧敏(1998),女,硕士,助理工程师,研究方向为低压配网、负荷辨识,1456629706@qq.com。
收稿:2024-03-07,
修回:2024-05-10,
纸质出版:2025-04-30
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郑杨,任禹丞,王雨薇等.基于改进云模型的区域电网电能替代综合效益评价[J].发电技术,2025,46(02):399-408.
ZHENG Yang,REN Yucheng,WANG Yuwei,et al.Evaluation of Comprehensive Benefits of Electric Energy Substitution in Regional Power Grids Based on Improved Cloud Model[J].Power Generation Technology,2025,46(02):399-408.
郑杨,任禹丞,王雨薇等.基于改进云模型的区域电网电能替代综合效益评价[J].发电技术,2025,46(02):399-408. DOI: 10.12096/j.2096-4528.pgt.23142.
ZHENG Yang,REN Yucheng,WANG Yuwei,et al.Evaluation of Comprehensive Benefits of Electric Energy Substitution in Regional Power Grids Based on Improved Cloud Model[J].Power Generation Technology,2025,46(02):399-408. DOI: 10.12096/j.2096-4528.pgt.23142.
目的
2
针对区域电网电能替代效益评估中多维度协同性不足、环境效益量化不完善及动态反馈缺失等问题,提出一种多源数据融合的动态评价方法,以提升电能替代工程决策精度。
方法
2
构建涵盖“供给侧优化-需求侧转型-环境减排协同”的三维评价指标体系,明确跨区消纳能力、电替代渗透率及污染物减排等21个指标,形成多层级量化评估框架;设计基于熵权法与改进序关系法的耦合赋权策略,通过线性加权平衡主客观权重偏差;提出贝叶斯动态云模型,结合贝叶斯反馈机制优化云模型超熵参数,实现评估结果的动态修正。
结果
2
所提模型能有效量化电能替代综合效益,精准识别跨区消纳与终端替代短板,并通过动态反馈机制提升评估精准性,增强与工程实际的匹配度。
结论
2
该评估方法突破了传统效益评估中指标维度单一、权重分配失准及静态偏差显著等瓶颈,可为提高电能替代效益评价准确性提供参考。
Objectives
2
To address issues such as insufficient multi-dimensional coordination
incomplete quantification of environmental benefits
and the lack of dynamic feedback in evaluating the benefits of electric energy substitution in regional power grids
a dynamic evaluation method based on multi-source data fusion is proposed to enhance the decision-making accuracy of electric energy substitution projects.
Methods
2
A three-dimensional evaluation index system covering “supply-side optimization
demand-side transformation
and environmental emission reduction synergy” is established
identifying 21 indicators including cross-regional consumption capacity
electric substitution penetration rate
and pollutant reduction
thereby forming a multi-level quantitative evaluation framework. A coupling weighting strategy based on the entropy weight method and an improved rank correlation method is developed to balance subjective and objective weight deviations through linear weighting. A Bayesian dynamic cloud model is proposed
optimizing the hyper-entropy parameters of the cloud model by incorporating a Bayesian feedback mechanism to achieve dynamic correction of evaluation results.
Results
2
The proposed model can effectively quantify the comprehensive benefits of electric energy substitution
accurately identify shortcomings in cross-regional consumption and terminal substitution
and improve evaluation accuracy through the dynamic feedback mechanism
enhancing alignment with practical engineering.
Conclusions
2
This evaluation method overcomes the bottlenecks in traditional benefit evaluation
such as single-dimensional indicators
inaccurate weight allocation
and significant static deviations
providing a reference for improving the accuracy of electric energy substitution benefit evaluation.
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