基于多元目标的储能政策综合评估OA
Comprehensive evaluation of energy storage policies based on multi-objectives
[目的]储能政策体系较为复杂,对储能政策进行科学全面的评估是促进储能产业发展的有效手段.[方法]本文采用熵权Topsis(technique for order preference by similarity to ideal solution)方法以及层次分析法开展不同省份储能政策的综合评估,体现各省份政策对于储能项目的促进水平.考虑政策落地效果并结合储能电站实际应用场景,建立了涵盖经济指标、技术指标以及环境指标等七个指标的多目标综合评估体系.选取青海、浙江、内蒙古及河南四省代表性政策,计算多指标场景分析结果并采用熵权Topsis方法进行客观排序.对于主观评估存在的多目标各有侧重的特点,以层次分析法分别对不同目标下的储能政策进行综合评估.[结果]结果表明,熵权Topsis综合评估方法下浙江省储能政策最优,体现了浙江省政策支持下储能电站运营效益的相对最大化.在分别考虑经济性、技术性以及环境性目标的主观意图下,浙江、河南和浙江储能政策最优,反映了不同省份对于不同目标的支持力度.[结论]对于政策的主观评估需要建立目标优先次序,为后续储能政策评估提供依据.
[Objective]The energy storage policy system is relatively complex and a scientific and comprehensive evaluation is an effective means to promote the development of the energy storage industry.[Methods]This paper uses the entropy weight and Topsis method along with the analytic hierarchy process to conduct comprehensive evaluations of energy storage policies under various provinces and reflect the level of promotion of energy storage projects by policies.Firstly,considering the effectiveness of policy implementation and combined with the actual application scenarios of energy storage power plants,a comprehensive evaluation system of seven indicators covering economic,technical and environmental indicators has been established.Then,the representative policies from Qinghai,Zhejiang,Inner Mongolia,and Henan provinces are selecting and the results of multi-index scenario analysis based on policy content has been evaluated with entropy weight and Topsis method.Besides,the Analytic Hierarchy Process is used to comprehensively evaluate energy storage policies under thinking of different focuses of multiple objectives.[Results]The results indicate that the entropy weight and Topsis method has the optimal energy storage policy in Zhejiang Province,reflecting the relative maximization of operational efficiency of energy storage power stations under the policy support of Zhejiang Province.Under the subjective intentions of considering economic,technical,and environmental goals separately,the energy storage policies in Zhejiang,Henan,and Zhejiang are the most optimal which reflects the level of support for different goals in the three provinces,[Conclusion]indicating the demand to establish a priority order for subjective evaluation of policies.
沈昊天;张华良;徐玉杰;苏旭;门静婧;王尧;陈海生
中科南京未来能源系统研究院,江苏 南京 210000中科南京未来能源系统研究院,江苏 南京 210000||中国科学院工程热物理研究所,北京 100190中科南京未来能源系统研究院,江苏 南京 210000||中国科学院工程热物理研究所,北京 100190中科南京未来能源系统研究院,江苏 南京 210000中科南京未来能源系统研究院,江苏 南京 210000中科南京未来能源系统研究院,江苏 南京 210000中科南京未来能源系统研究院,江苏 南京 210000||中国科学院工程热物理研究所,北京 100190
能源与动力
储能政策熵权法层次分析法评价指标体系
energy storage policyentropy weight methodanalytic hierarchy processevaluation indicator system
《电力科技与环保》 2025 (2)
229-239,11
江苏省碳达峰碳中和科技创新专项重大创新载体建设项目(BM2022001)中国科学院国际合作局对外合作重点项目资助(117GJHZ2023009MI)南京市新型研发机构联合技术攻关项目(202304008)
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