Open AccessQuantitative evaluation method of load side flexibility for industrial park
Author(s) -
Jia Cui,
Chonggang Duan,
Hao Wang,
Xinyue Yan,
Jichao Si,
Zhimin Li,
Mingze Gao
Publication year - 2022
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 - 10.1088/1742-6596/2247/1/012038
Subject(s) - topsis , analytic hierarchy process , flexibility (engineering) , entropy (arrow of time) , computer science , grey relational analysis , ideal solution , reliability engineering , industrial engineering , data mining , mathematics , operations research , engineering , statistics , thermodynamics , physics , quantum mechanics
In view of the researches on the quantitative evaluation methods systems for load side flexibility, the evaluation methods using matter-element extension and setting pair analysis usually qualitative analysis the flexibility of load only. At present, they do not quantify the flexibility of each load. Thus, firstly, according to the factors affecting the load flexibility of industrial parks, this paper selects 10 indicators from four aspects to form an index system to evaluate the load flexibility of industrial parks. Secondly, considering the correlation between indicators, the grey correlation matrix is proposed to improve the entropy weight method for the first time. Thirdly, in order to eliminate the influence of human subjective factors, the coupling method of analytic hierarchy process and improved entropy weight method is used to determine the weight of indicators. Finally, in order to overcome the shortcomings of the traditional TOPSIS method, an improved set pair analysis (SPA) based on grey entropy and TOPSIS coupling method is proposed to quantify the load flexibility of industrial parks.