Browsing by Author "Manoharan, A. K"

Now showing 1 - 3 of 3

Embargo
Assessment of System Reliability in Presence of Cyber Attack Risk on PMU Data
(IEEE, 2018-12-21) Hettiarachchige-Don, A. C. S; Manoharan, A. K; Pedaprolu, L. G; Pedaprolu, V
This paper provides an assessment of the effect of Synchrophasor Measurement Units in improving power system reliability. First, an overview of cyber threats to PMU networks is given where the possible vulnerabilities of the network to malicious data manipulation are studied. The addition of PMUs to the power system infrastructure would offer greater observability in the system and thus mitigate the risk of transmission line failure due to thermal overloading. However, the addition of PMUs opens the system to cyber threats that might, in fact, lower system reliability. The analysis in this work looks at the effect of these threats on the overall system reliability of a real system layout based on real PMU data obtained from a utility. The benefit to a utility in including PMUs under the varying levels of cyber threat is also studied.
Embargo
Model For Evaluating the Reliability of Cyber Component in Power Distribution Systems
(IEEE, 2019-10-13) Chakraborty, S; Manoharan, A. K; Hettiarachchige-Don, A; Aravinthan, V; Kapourchali, M. H
The introduction of smart sensors and intelligent electronic devices allow cyber infrastructure to penetrate different levels of power system. Thus, the effective operation of a cyber-physical power system will be affected by cyber network reliability. The focus of this paper is to analyze the reliability of a cyber-physical power system using the concept of three-layered system approach- Power, Communication and Decision. In this work a new method to compute the cyber reliability of the system is proposed by modelling the interdependency between the communication and decision layer. A case study is done using the radial distribution network in the Roy Billinton Test System to show the possible scenarios that should be considered in the reliability evaluation.
Embargo
Uncertainty Mitigation in Feeder Level Power Loss Reduction with Distributed Generation
(IEEE, 2019-04-03) Manoharan, A. K; Hettiarachchige-Don, A. C. S; Aravinthan, V
The grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.