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作 者:Zhishuo Zhang Xinhui Du Yaoke Shang Jingshu Zhang Wei Zhao Jia Su
机构地区:[1]School of Electrical and Power Engineering,Taiyuan University of Technology,Taiyuan,030000,China
出 处:《Energy Engineering》2024年第6期1577-1605,共29页能源工程(英文)
基 金:the National Natural Science Foundation of China Youth Fund,Research on Security Low Carbon Collaborative Situation Awareness of Comprehensive Energy System from the Perspective of Dynamic Security Domain(52307130).
摘 要:To address the issues of limited demand response data,low generalization of demand response potential evaluation,and poor demand response effect,the article proposes a demand response potential feature extraction and prediction model based on data mining and a demand response potential assessment model for adjustable loads in demand response scenarios based on subjective and objective weight analysis.Firstly,based on the demand response process and demand response behavior,obtain demand response characteristics that characterize the process and behavior.Secondly,establish a feature extraction and prediction model based on data mining,including similar day clustering,time series decomposition,redundancy processing,and data prediction.The predicted values of each demand response feature on the response day are obtained.Thirdly,the predicted data of various characteristics on the response day are used as demand response potential evaluation indicators to represent different demand response scenarios and adjustable loads,and a demand response potential evaluation model based on subjective and objective weight allocation is established to calculate the demand response potential of different adjustable loads in different demand response scenarios.Finally,the effectiveness of the method proposed in the article is verified through examples,providing a reference for load aggregators to formulate demand response schemes.
关 键 词:Demand response potential demand response scenarios data mining adjustable load evaluation system subjective and objective weight allocation
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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