Autor/Autorin: Khan Enam
Enam Khan completed his graduate studies with a Masters degree in Electrical Power Engineering from The Royal Institute of Technology (KTH), Sweden in 2014 and his undergraduate studies at American International university-Bangladesh in 2008. His research interest is SAS, microgrid,wind power,machines and drives.
Reliability of power system depends on the up to date knowledge of the system state for operation and control. Shifting from large conventional production units to small and/ or renewable DG connected in the distribution network means more control and monitoring system require for the Distributed System operator caused by active generation and reactive power consumption by DG. It is technically impossible to continuously model the distribution grid in real time because of tremendous number of nodes distribution and elements system.Therefore it is interesting to explore concepts in fast and scalable topology processors for monitoring and controlling applications such as state estimation, OPF and static and dynamic stability assessment in electrical distribution network the need is evident to validate with meshed network to analyze the overall performance of the proposed methodology Decentralized Topology Inference of Electrical Distribution Networks. The topology inference processor is require minimal prior knowledge of electrical network structure by taking a series of time-stamped process measurements from each bays of each substation in the network and determine the topology.
Enam Khan completed his graduate studies with a Masters degree in Electrical Power Engineering from The Royal Institute of Technology (KTH), Sweden in 2014 and his undergraduate studies at American International university-Bangladesh in 2008. His research interest is SAS, microgrid,wind power,machines and drives.
Über den Autor
Enam Khan completed his graduate studies with a Masters degree in Electrical Power Engineering from The Royal Institute of Technology (KTH), Sweden in 2014 and his undergraduate studies at American International university-Bangladesh in 2008. His research interest is SAS, microgrid,wind power,machines and drives.
Klappentext
Reliability of power system depends on the up to date knowledge of the system state for operation and control. Shifting from large conventional production units to small and/ or renewable DG connected in the distribution network means more control and monitoring system require for the Distributed System operator caused by active generation and reactive power consumption by DG. It is technically impossible to continuously model the distribution grid in real time because of tremendous number of nodes distribution and elements system.Therefore it is interesting to explore concepts in fast and scalable topology processors for monitoring and controlling applications such as state estimation, OPF and static and dynamic stability assessment in electrical distribution network the need is evident to validate with meshed network to analyze the overall performance of the proposed methodology Decentralized Topology Inference of Electrical Distribution Networks. The topology inference processor is require minimal prior knowledge of electrical network structure by taking a series of time-stamped process measurements from each bays of each substation in the network and determine the topology.
