Dependence among random input variables affects importantly the results of probabilistic load flow(PLF),system economic operation,and system security.To solve this problem,the main objectiveness of the paper is to ana...Dependence among random input variables affects importantly the results of probabilistic load flow(PLF),system economic operation,and system security.To solve this problem,the main objectiveness of the paper is to analyze the performance of several schemes for simulating correlated variables combined with the point estimate method(PEM).Unlike the existing works that considering one single scheme combined with Monte Carlo simulation(MCS) or PEM,by neglecting the correlation among random input variables,four schemes were presented for disposing the dependence of correlated random variables,including Nataf transformation /polynomial normal transformation(PINT) combined with orthogonal transformation(OT) / elementary transformation(ET).Combining with the 2m+1 approach of PEM,a space transformation-based formulation was proposed and adopted for solving the PLF.The proposed approach is applied in the modified IEEE 30-bus system while considering correlated wind generations and load demands.Numerical results show the effectiveness of the proposed approach compared with those obtained from the MCS.Results also show that the scheme of combining Nataf transformation and ET with PEM provides the best performance.展开更多
The nature and transformation of each potential hydroxyl species in a Ce-modified Y zeolite during the calcination process have been investigated via the information of the hydroxyl spectra of the samples monitored in...The nature and transformation of each potential hydroxyl species in a Ce-modified Y zeolite during the calcination process have been investigated via the information of the hydroxyl spectra of the samples monitored in real-time via in situ FTIR spectroscopy technology.A thermogravimetric method was also used to identify the elementary transformation processes of the hydroxyl species during the calcination of the zeolite samples.展开更多
基金National Science Foundation of China(No.61533010)the Science and Technology Commission of Shanghai Municipality,China(No.14ZR1415300)
文摘Dependence among random input variables affects importantly the results of probabilistic load flow(PLF),system economic operation,and system security.To solve this problem,the main objectiveness of the paper is to analyze the performance of several schemes for simulating correlated variables combined with the point estimate method(PEM).Unlike the existing works that considering one single scheme combined with Monte Carlo simulation(MCS) or PEM,by neglecting the correlation among random input variables,four schemes were presented for disposing the dependence of correlated random variables,including Nataf transformation /polynomial normal transformation(PINT) combined with orthogonal transformation(OT) / elementary transformation(ET).Combining with the 2m+1 approach of PEM,a space transformation-based formulation was proposed and adopted for solving the PLF.The proposed approach is applied in the modified IEEE 30-bus system while considering correlated wind generations and load demands.Numerical results show the effectiveness of the proposed approach compared with those obtained from the MCS.Results also show that the scheme of combining Nataf transformation and ET with PEM provides the best performance.
基金supported by the National Natural Science Foundation of China(no.U20A20120 and 21902068)by the China National Petroleum Corporation(2021DJ0701).
文摘The nature and transformation of each potential hydroxyl species in a Ce-modified Y zeolite during the calcination process have been investigated via the information of the hydroxyl spectra of the samples monitored in real-time via in situ FTIR spectroscopy technology.A thermogravimetric method was also used to identify the elementary transformation processes of the hydroxyl species during the calcination of the zeolite samples.
