基于层次分析法AHP和TOPSIS的储能参与新能源一次调频选型方案
摘要：储能选型是储能参与新能源一次调频规划和设计的关键内容，涉及到安全性、一次调频适应性、经济性和环保性等多方面指标，是一个复杂的多目标决策问题。提出基于层次分析法（analytic hierarchy process, AHP）和逼近理想解排序方法（technique for order preference by similarity to an ideal solution, TOPSIS）相结合的储能参与新能源一次调频选型方案。分析各个指标特征，构建两层决策体系。根据专家打分和实际应用需求，采用AHP法得到各个决策指标的权重，进一步采用TOPSIS法根据各指标的权重和相关参数对储能进行选型。最后，选取压缩空气、飞轮储能、磷酸铁锂电池和超级电容器等12种储能类型为案例进行分析，结果表明，磷酸铁锂电池在参与新能源一次调频应用场景中占有优势。该选型方案可以为储能参与新能源一次调频规划和设计提供一定的理论支撑。
Abstract:The selection of energy storage is the key content for planning and design of energy storage to participate in the new energy primary frequency regulation. It involves many indicators such as safety, primary frequency regulation adaptability, economy and environmental performance, and is a complex multi-objective decision-making problem. This paper proposed a new energy primary frequency regulation selection scheme based on the combination of analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS). This paper analyzed the characteristics of each index and built a two-tier decision-making system. According to expert scores and practical application requirements, the AHP method was used to obtain the weight of each decision-making index, and the TOPSIS method was further used to select the energy storage according to the weight of each index and related parameters. Finally, this paper selected 12 types of energy storage, such as compressed air, flywheel energy storage, lithium iron phosphate batteries and super capacitors, as cases for analysis. The results show that lithium iron phosphate batteries have advantages in participating in new energy primary frequency regulation. The selection scheme can provide certain theoretical support for energy storage to participate in the planning and design of new energy primary frequency regulation.
标题：基于层次分析法AHP和TOPSIS的储能参与新能源一次调频选型方案
英文标题：Selection Scheme for Energy Storage to Participate in Primary Frequency Regulation of New Energy Based on AHP and TOPSIS Methods
作者：赵松, 张谦, 霍红岩, 党少佳, 杜荣华, 赵炜, 周磊, 辛晓钢, 张国斌, 郭瑞君, 于海存, 殷建华, 李旭, 李荣丽,
关键词：储能选型, 新能源, 一次调频, 层次分析法, TOPSIS法,
发表日期：2024-02-10
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