An uncertainty analysis method for distributed power trading with interval expansion suppression
Conference: ECITech 2022 - The 2022 International Conference on Electrical, Control and Information Technology
03/25/2022 - 03/27/2022 at Kunming, China
Proceedings: ECITech 2022
Pages: 5Language: englishTyp: PDF
Authors:
Lv, Chen; Fan, Menghua; Zhao, Zheng (State Grid Energy Research Institute, Beijing, China)
Abstract:
Uncertainty of load and distributed generation is one of the key problems affecting distributed power trading. The interval expansion of analysis results limits the application of interval analysis methods in the analysis of distributed power trading. In this paper, an affine interval analysis method to suppress interval expansion is proposed. By improving the approximate calculation method of new noise sources in non affine operation, the interval expansion of calculation results can be effectively suppressed.