Probabilistic Energy Flow Calculation for Integrated Energy Systems Based on Radial Basis Function-stochastic Response Surface Method

被引:0
|
作者
Chen Q. [1 ]
Zhang S. [1 ]
Cheng H. [1 ]
Wang S. [1 ]
Yuan K. [2 ]
Song Y. [2 ]
Han F. [2 ]
机构
[1] Key Laboratory of Control of Power Transmission and Transformation, Ministry of Education, Department of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai
[2] State Grid Economic and Technological Research Institute Co., Ltd., Changping District, Beijing
基金
中国国家自然科学基金;
关键词
integrated energy systems; node temperatures of heat network; probabilistic energy flow calculation; radial basis functions; stochastic response surface method;
D O I
10.13334/j.0258-8013.pcsee.211965
中图分类号
学科分类号
摘要
A probabilistic energy flow calculation method for integrated energy systems based on the radial basis function stochastic response surface method was proposed. First, the node temperature equation of heat network was derived, and the limitations of the chaotic polynomial stochastic response surface method and sparse chaotic polynomial stochastic response surface method in calculating the node temperatures of heat network were verified and analyzed. Then, the radial basis function stochastic response surface model was established and extended by using linear polynomials, and its way of configuration points was improved. Based on this, the radial basis function stochastic response surface method applicable to the probabilistic energy flow calculation of integrated energy systems was proposed and a detailed computational procedure was given. Finally, the validity and performance of the proposed method were verified and evaluated by standard and practical cases. The results show that the proposed method has good computational accuracy and efficiency in calculating the probabilistic energy flow of integrated energy systems with heat network. ©2022 Chin.Soc.for Elec.Eng. 8075.
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页码:8075 / 8088
页数:13
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