https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Dynamic security assessment and control of modern power systems using intelligent system technologies https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12870 Wed 11 Apr 2018 12:18:10 AEST ]]> Exponential stability and local ISS for DC networks https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37962 Tue 20 Jul 2021 16:09:49 AEST ]]> Real-Time Simulation of a Naval Platform Power and Energy System https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44356 Tue 11 Oct 2022 19:42:37 AEDT ]]> Lyapunov functions for power systems with transfer conductances https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22484 Thu 22 Sep 2016 11:16:41 AEST ]]> Performance comparison of distributed state estimation algorithms for power systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31315 Sat 24 Mar 2018 08:43:35 AEDT ]]> Self-adaptive differential approach for transient stability constrained optimal power flow https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27918 Sat 24 Mar 2018 07:36:08 AEDT ]]> Distributed weighted least-squares estimation for power networks https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26666 Sat 24 Mar 2018 07:26:52 AEDT ]]> Dynamic state estimation for power networks using distributed MAP technique https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28130 a posteriori (MAP) estimation technique, which delivers a globally optimal estimate under certain assumptions. We apply the distributed approach to an IEEE 118-bus system, and compare it with a centralized approach, which provides the optimal state estimate using all the measurements, and with a local state estimation approach, which uses only local measurements to estimate local states. Simulation results show that under different scenarios including normal operation, bad measurements and sudden load change, the distributed approach is clearly more accurate than the local state estimation approach and distributed static state estimation approach. Although the result is a bit less accurate than that by a centralized algorithm, the distributed algorithm enjoys low computational complexity and communication load, and is scalable to large power networks.]]> Sat 24 Mar 2018 07:24:55 AEDT ]]> Real-time prediction of event-driven load shedding for frequency stability enhancement of power systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23781 Sat 24 Mar 2018 07:13:21 AEDT ]]> The application of length dependent external transmission line impedances to power system analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32844 Mon 23 Sep 2019 13:12:48 AEST ]]> Statistical approach to detection of attacks for stochastic cyber-physical systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46240 Mon 14 Nov 2022 13:08:03 AEDT ]]> Generalized FDIA-based cyber topology attack with application to the Australian electricity market trading mechanism https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36041 Mon 03 Feb 2020 12:34:10 AEDT ]]>