Open AccessDemand-side response Resource Value Evaluation Method based on Entropy-weighted Close Value Method
Author(s) -
Li Kai,
Yu Liu,
Huan He,
Liang Du,
Liaoyi Ning,
Jiao Zhang,
Xinyu Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1827/1/012046
Subject(s) - euclidean distance , entropy (arrow of time) , mathematics , value (mathematics) , evaluation methods , sample (material) , statistics , computer science , mathematical optimization , econometrics , reliability engineering , artificial intelligence , engineering , physics , chemistry , chromatography , quantum mechanics
The main benefits and social welfare of demand response resources participating in the market are mostly based on qualitative evaluation in previous studies, and no more mature evaluation methods have been seen. This paper uses the evaluation model of the entropy-weighted close value method to analyze the advantages and disadvantages of the evaluation units. Advantages, the standard of each evaluation index is used as the sample to participate in the composition of the original environmental matrix, the entropy weight method is used to determine the weight of each evaluation index, the “most advantages” and “the worst points” are determined in a limited sample, and the sum of each sample point is calculated. The Euclidean distance between the above two points is used to determine the close value of the sample point, determine the order of the merits of each evaluation unit according to the close value, and finally determine the optimal solution for the demand side response.