Page 71 - 水利学报2021年第52卷第6期
P. 71

Stochastic simulation model of forecast errors in the process of reservoir runoff
                                                 based on IGMM-Copula


                           ZHANG Yanke,ZHANG Jiaxin,TAI Yuhang,JI Changming,MA Qiumei
                    (School of Water Resources and Hydropower Engineering,North China Electric Power University,Beijing  102206,China)


                   Abstract: In order to reveal the statistical characteristics and changing laws of forecast errors in the pro⁃
                   cess of inflow runoff,so as to provide more accurate input conditions for the optimal operation of hydropow⁃
                   er stations and reservoirs. The optimal Gaussian mixture number is selected based on the AIC and BIC cri⁃
                   teria, and the K-means++ algorithm in data mining is introduced to determine the initial parameter values
                   of the Gaussian mixture model. The GMM part of the GMM-Copula model is improved, based on which
                   the stochastic simulation model of the forecast error in the reservoir runoff process is established. The mod⁃
                   el not only has more advantageous in the quantitative estimation of the runoff forecast error at a single fore⁃
                   seeable moment,but also can realize the stochastic simulation of the error sequence by establishing a multi⁃
                   dimensional distribution function of the error. The results applied to the reservoir of Jinping I Hydropower
                   Station show that the model in this paper fits the runoff forecast errors at 6h, 12h, 18h, 24h foreseeing
                   moments, and the graphical effect and applicability test results of the fitted curve are better than those of
                   GMM -Copula model,and the statistical parameters of the simulation error of the IGMM-Copula model are
                   closer to the actual error, which verifies the rationality and feasibility of the model, and provides a more
                   accurate and effective method for the estimation and simulation of the forecast error of the reservoir  runoff
                   process method.
                   Keywords: reservoir runoff forecast error; GMM-Copula; IGMM-Copula; stochastic simulation; Jinping I
                   Hydropower Station

                                                                                   (责任编辑:杨         虹)
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