EN基于混合多属性决策方法的新能源电力系统灵活性资源调节能力综合评价
Comprehensive Evaluation of Flexibility Resource Regulation Capability in New Energy Power Systems Based on Hybrid Multi-attribute Decision-making Methods
- 中国电力 2025年58卷第11期 页码：62-71
- 作者机构：
1. 华北电力大学 经济与管理学院,北京,102206
2. 国家电网有限公司,北京,100031
3. 国网河北省电力有限公司,河北,石家庄,050021
4. 中国电力科学研究院有限公司,北京,100192
5. 国网河北省电力有限公司电力科学研究院,河北,石家庄,050021
- 作者简介：
- 基金信息：国家社会科学基金资助项目（25BJY021）;国家电网有限公司科技项目（5108-202218280A-2-299-XG）。
DOI：10.11930/j.issn.1004-9649.202504063
中图分类号：-
网络出版：2025-12-01，
纸质出版：2025-12-01
- 稿件说明：
移动端阅览
曹书仪, 陶洪铸, 王强, 礼晓飞, 王蕾报, 郭森. 基于混合多属性决策方法的新能源电力系统灵活性资源调节能力综合评价[J]. 中国电力, 2025, 58(11): 62-71, 87.
CAO Shuyi, TAO Hongzhu, WANG Qiang, et al. Comprehensive Evaluation of Flexibility Resource Regulation Capability in New Energy Power Systems Based on Hybrid Multi-attribute Decision-making Methods[J]. 2025, 58(11): 62-71.
曹书仪, 陶洪铸, 王强, 礼晓飞, 王蕾报, 郭森. 基于混合多属性决策方法的新能源电力系统灵活性资源调节能力综合评价[J]. 中国电力, 2025, 58(11): 62-71, 87. DOI： 10.11930/j.issn.1004-9649.202504063.
CAO Shuyi, TAO Hongzhu, WANG Qiang, et al. Comprehensive Evaluation of Flexibility Resource Regulation Capability in New Energy Power Systems Based on Hybrid Multi-attribute Decision-making Methods[J]. 2025, 58(11): 62-71. DOI： 10.11930/j.issn.1004-9649.202504063.
摘要
合理评估灵活性资源的调节能力，对于提升电力系统的灵活性以及建设高比例新能源接入的新型电力系统具有重要意义。从经济性和技术性2个维度，提出了新能源电力系统灵活性资源调节能力评价指标体系，基于熵权法和MARCOS相结合的混合多属性决策方法构建了新能源电力系统灵活性资源调节能力综合评价模型，并对4种典型的灵活性资源进行了评估，结果表明：爬坡速率、时间尺度调节能力、使用年限和机组调节范围是影响灵活性资源调节能力的关键因素；电化学储能的调节能力最优，气电调节能力最差。实证研究与敏感性分析验证了该模型的有效性和可行性。
Abstract
A reasonable assessment of the regulation capability of flexibility resources is of importance for enhancing the flexibility of power systems and constructing new-type power systems with high proportions of renewable energy integration. An evaluation indicator system for the regulation capability of flexibility resources in renewable energy power systems is established from both economic and technical dimensions. Furthermore
a comprehensive evaluation model for the regulation capability of flexibility resources is constructed based on the entropy weight method and the MARCOS method. Finally
four typical flexibility resources are evaluated. The results indicate that ramp rates
timescale regulation capability
service life
and unit regulation range are key factors influencing the flexibility resource regulation capability; electrochemical energy storage demonstrates the best regulation performance
while gas-fired power generation exhibits the poorest. Empirical research and sensitivity analysis validate the effectiveness and feasibility of the proposed model.
关键词
Keywords
references
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