Palestra – 23/03/2017 – 15:10 às 17:00 – Sala A210
10/03/2017 17:02
| Palestrante: Dave Thomas The George Green Institute for Electromagnetics Research Department of Electrical and Electronic Engineering The University of Nottingham, UK Email : Dave.thomas@nottingham.ac.uk |
| Sobre o Palestrante: Prof. Dave Thomas is a Professor of Electromagnetics Applications and Director of The George Green Institute for Electromagnetics Research, The University of Nottingham UK. His research interests are in electromagnetic compatibility, electromagnetic simulation, power system transients and power system protection. He is a member of CIGRE and convenor for Joint Working Group C4.31 “EMC between communication circuits and power systems”. He is also Chair for the IEEE EMC Technical committee T7 on Low Frequency EMC, Chair and budget holder of COST Action IC 1407 “Advanced Characterisation and Classification of Radiated Emissions in Densely Integrated Technologies (ACCREDIT)”. He is also member of several conference steering committees including the EMC Europe International Steering Committee and the ESA Workshop on Aerospace EMC. |
| Título: The EUT Method for Stochastic Problems in Power System Analysis |
| Resumo: In many problems in power system analysis there is considerable uncertainty or variability in the operating conditions or the system parameters. It is often more meaningful to treat the problem as stochastic and quantify the uncertainty in terms of the statistical parameters. This is particularly true for distribution systems with a high penetration of renewable generation with is known to have considerable variation in input power. This presentation describes the used of the Enhanced Unscented transforms (EUT) method as an efficient probabilistic load flow method and also for the estimation of other power quality indices such as harmonics and conducted emissions. The performance of the technique is demonstrated and compared with other techniques such as the point estimate method, the cumulant method and the Monte Carlo Simulation method. |
| Data: 23/03/2017 |
| Horário: 15:10 às 17:00 |
| Local: Sala A210 |