Browsing by Author "Aravinthan, V"

Now showing 1 - 6 of 6

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Demand side management for residential consumers considering distribution system requirements
(IEEE, 2021-04-11) Gomes, T. N; Nandasiri, N; Hettiarachchige Don, A. C. S; Aravinthan, V
One of the focus areas of the smart-grid initiative is the residential level demand response. Recent surveys have analyzed price-responsive demand response optimization, mathematical modeling of demand response, responsive demand forecasting, and communication requirements. This paper identifies the benefit of the demand response programs available in the literature and presents an approach to incorporate utility-focused demand response benefits into distribution system operation. A two-stage demand-side management method is proposed using modified AC optimal power flow to maintain system requirements such as minimal deviations in nodal voltages and maintaining power factor. The results have been analyzed further by categorizing them into two areas; how the rescheduling has benefitted the consumers and the utility.
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Dynamic line parameter estimation using synchrophasor measurements
(IEEE, 2016-12-16) Hettiarachchige-Don, A. C. S; Aravinthan, V; Jewell, W; Westervelt, S
This paper proposes a novel methodology for the calculation and estimation of transmission line impedance with the use of real time data from synchrophasor measurement units. Current synchrophasor standards do not provide impedance data and must therefore be calculated. The algorithms used in this paper include impedance calculation, outlier detection and elimination as well as denoising using regularized least square estimation. The proposed methodology operates using a small sample size and can therefore be applied in real time to provide operators with instantaneous impedance values from transmission lines. The paper also investigates how changing several methodology parameters can affect the accuracy of the output obtained. The overall methodology as well as these parameters have been tested using real synchrophasor data from an American utility provider.
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Estimation of missing transmission line reactance data using multiple linear regression
(IEEE, 2017-09-17) Hettiarachchige-Don, A. C. S; Aravinthan, V
This paper explores the use of Multiple Linear Regression techniques in order to estimate sections of missing line reactance data sometimes found in the data received from synchrophasor measurement units. The high correlation between transmission line reactance and the system frequency is used to predict these estimates. Dynamic predictor coefficients are used to improve accuracy of the estimations and analysis is done to determine the most appropriate parameters to use in the regression model. All model building, analysis and testing is done using multiple sections of real PMU data.
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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
Reliability modeling considerations for emerging cyber-physical power systems
(IEEE, 2018-06-24) Aravinthan, V; Balachandran, T; Ben-Idris, M; Fei, W; Heidari-Kapourchali, M; Hettiarachchige-Don, A. C. S; Jiang, J. N; Lei, H; Lei, C. C; Mitra, J; Ni, M; Papic, M; Parvania, M; Sephary, M; Singh, C; Srivastava, A; Stefanov, A; Sun, H; Tindemans, S
Power system operation considering an increasingly complex cyber infrastructure may be one of the key factors of the next generation power systems. The effective operation of a power system in a massively deployed cyber network environment will be affected by cyber network reliability. Therefore, it is vital not only to understand the operation of a cyber network and its reliability, but also it is critical to integrate the interdependency of cyber and power systems into power system planning and operations. This requires a three-layer approach to reliability modeling and evaluation. The cyber and power layers are interconnected by the information layer. The objective of this paper is to define the three-layer model and report a generalized framework for combined reliability modeling.
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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.