摘要
针对目前对储能技术综合评估单一、不全面的问题,本文提出一种多应用场景下储能技术的多特性综合评估模型,该模型能够更全面地评估储能技术的综合效益。首先,将单应用场景推广到多应用场景,从可靠性、经济性、环保性方面建立多特性评估指标体系。为更好解决决策者评估不确定性问题,利用云模型改进直觉模糊综合评估方法,改善了传统评价方法受主观偏好影响较大的问题,并以云滴直观表现评估的不确定性。最后,利用改进的IEEE RBTS BUS6测试系统进行综合评估验证。结果表明,本文方法能客观地反映储能技术在多应用场景下的综合效益评分。不限制地理条件下,典型储能技术参与多应用场景时,抽水蓄能的综合评分最高。而对电化学储能的技术参数进行敏感性分析后发现,如果进一步提高电化学储能技术循环次数与日历寿命、降低投资成本,其综合评分要优于抽水蓄能。
The comprehensive evaluation of energy storage technology is either single or incomplete. To comprehensively evaluate the comprehensive benefits of energy storage technology, this paper proposes a multi-characteristic comprehensive evaluation model of energy storage technology in multiple application scenarios. First, to extend a single application scenario to multiple application scenarios, this paper establishes a multi-characteristic evaluation index system from the aspects of reliability, economy, and environmental protection. To better solve the problem of decision makers’ evaluation uncertainty, the cloud model is used to improve the intuitionistic fuzzy comprehensive evaluation method, which alleviates the problem that the traditional evaluation method is greatly affected by subjective preferences, and the evaluation uncertainty is intuitively represented by cloud droplets. Finally, comprehensive evaluation and verification are carried out using the improved IEEE RBTS BUS6 test system. The results show that the proposed method can reflect the comprehensive benefit scores of energy storage technologies in multiple application scenarios. Ignoring geographical conditions, pumped hydro storage has the highest comprehensive score in multiple application scenarios. After the sensitivity analysis of the technical parameters of electrochemical energy storage, it is found that when the cycle times and calendar life of electrochemical energy storage technology are further improved, and the investment cost is reduced, its comprehensive score is better than that of pumped hydro storage.
作者
钱啸
章姝俊
陈楚楚
黎博
章雷其
吴启亮
张雪松
陈民铀
QIAN Xiao;ZHANG Shu-jun;CHEN Chu-chu;LI Bo;ZHANG Lei-qi;WU Qi-liang;ZHANG Xue-song;CHEN Min-you(State Grid Zhejiang Electric Power Company,Hangzhou 310000,China;School of Electrical Engineering,Chongqing University,Chongqing 400030,China;State Grid Zhejiang Electric Power Research Institute,Hangzhou 310000,China)
出处
《电工电能新技术》
CSCD
北大核心
2022年第9期68-80,共13页
Advanced Technology of Electrical Engineering and Energy
基金
国网浙江省电力有限公司科技项目(5211DS19002F)。
关键词
储能技术
多应用场景
直觉模糊层次分析
云模型
综合评估指标体系
energy storage technology
multiple application scenarios
intuitionistic fuzzy analytic hierarchy process
cloud model
comprehensive evaluation index system
