Program: 1st Session on Friday (08:20-09:40)

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F1-1Modeling & Computing Methods

08:20 Design of Synchrophasor Estimation Systems with Convex Semi-Infinite Programming

Francisco Messina (Universidad de Buenos Aires, Argentina); Pablo Marchi (CSC-CONICET, Argentina); Leonardo Rey Vega (University of Buenos Aires, Facultad de Ingeniería & CONICET, Argentina); Cecilia Galarza (University of Buenos Aires, Argentina)

In this paper, we present a design methodology for synchrophasor estimation systems based on a convex semi-infinite optimization approach. Concretely, we present a suitable objective function for the problem and show how different performance constraints can be formulated. The advantage of this over most methods is that it allows us to control precisely the behavior of the system on both frequency and time domains. Thus, it gives an optimal and extremely flexible tool for a designer who wishes to obtain a particular desired performance. In particular, we show the advantages of this methodology by comparing it with standard designs on a study case on the basis of the IEEE Std. C37.118.1-2011.

08:40 Recursive Estimation of π-Line Parameters for Electric Power Distribution Grids

Alexander Prostejovsky (Technical University of Denmark, Denmark); Oliver Gehrke (DTU Electrical Engineering, Denmark); Anna Kosek (Technical University of Denmark, Denmark); Thomas Strasser (AIT Austrian Institute of Technology, Austria)

Electrical models of power distribution grids are used in applications such as state estimation and Optimal Power Flow (OPF), the reliability of which depends on the accuracy of the model. This work presents an approach for estimating distribution line parameters from Remote Terminal Unit (RTU) measurements which are subject to measurement device tolerances and random noise. Building upon an earlier work which introduced a measurement tolerance compensation model, we aim to improve a) the robustness towards noisy data and \b) the estimate of the parallel susceptance. For this purpose, we employ an Extended Kalman Filter (EKF) whose measurement noise covariance matrix is modified in order to account for all noisy variables in the overdetermined system. Simulations confirm the advantages of the EKF over the previously used Least-Squares (LSQ) estimator. In the low random noise cases considered in this paper, the EKF yields a four-fold improvement over the LSQ for the parallel susceptance across all quantization ranges. For the highest levels of random and quantization noise, the EKF performs about 1.5 to 3 times better than the LSQ for all line parameters. Furthermore, the EKF shows more consistent behavior when applied to data obtained from a laboratory distribution grid, which exhibits uncertainties that are not accounted for in the models.

09:00 Simulation Platform Developed to Study and Identify Critical Cases in a Future Smart Grid

Lucian Mihet-Popa (Oestfold University College & Politehnica University of Timisoara, Norway); Yi Zong (Technical University of Denmark, Denmark); You Shi (Technical University of Denmark, Denmark); Voicu Groza (University of Ottawa, Canada)

This paper proposes a simulation platform developed to study and identify critical cases in a Smart Grid. A distribution network with different Distributed Energy Resources (DER) Components, connected along the feeders, is analyzed, having the objective to identify limitations of existing simulation and planning tools, with a particular focus on the challenges imposed by the introduction of Smart Grid technologies. Another important issue of the paper is to identify critical load cases, as well as the voltage variations with the highest potential able to implement the grid model and the worst case scenarios developed

09:20 Dynamic Modeling of Diesel Generator Based on Electrical and Mechanical Aspects

Sihem Benhamed (Université du Québec à Rimouski, Canada); Hussein Ibrahim (Wind Energy TechnoCentre, Canada); Karim Belmokhtar (Wind Energy TechnoCentre, Canada); Hatem Hosni (Université du Québec à Rimouski, Canada); Adrian Ilinca (Université du Quebec à Rimouski, Canada); Daniel Rousse (Ecole de Technologie Superieure, University of Quebec, Canada); Ambrish Chandra (Ecola de Technologie, Superieure, Canada); DrishtySingh Ramdenee (ITMI, Canada)

Nowadays the studies of diesel generators are limited to present mechanical dynamic of the process or the electrical one, this is due to the complexity and the high no linearity of the DG. This paper gives a revue of different model which can describe the total dynamic process of the diesel generator. Then a developed model is proposed to study the interaction between the mechanical and electrical aspects in a DG. The validity of the proposed model is verified by an application in a study case. The developed model has been implemented in Matlab/Simulink, and the simulation result confirms the dynamic performances of the system compared with the operational data of the DG of TechnoCentre éolien (TCE).

F1-2Transmission Apparatus

08:20 Efficient Rectenna with Wide Dynamic Input Power Range for 900 MHz Wireless Power Transfer Applications

Abdullah Almohaimeed (University of Ottawa, Canada); Mustapha Yagoub (University of Ottawa, Canada); Rony Amaya (Carleton University, Canada)

This work demonstrates the design of a rectenna to operate over wide dynamic input power range. It utilizes an adaptive reconfigurable rectifier to overcome the issue of early breakdown voltage in conventional rectifiers. A depletion-mode field-effect transistor has been introduced to operate as a switch and compensate at low and high input power levels for the rectifier. In addition, a meandered monopole antenna has been exploited to collect RF energy. The rectifier design achieves 40% of RF-DC power conversion efficiency over a wide dynamic input power range from -17 dBm to 27 dBm and the antenna exhibits a directivity of 1.92 dBi as well as a return loss of -33 dB. The rectenna is designed to operate in the 900 MHz ISM band and suitable for Wireless Power Transfer (WPT) applications.

08:40 Assessment of a Self-Sustaining Fuel Cycle Option for a Pressure-Tube Heavy Water Nuclear Reactor

Sourena Golesorkhi (Canadian Nuclear Laboratories, Canada); Blair Bromley (Canadian Nuclear Laboratories, Canada); Ashlea Colton (Canadian Nuclear Laboratories, Canada); Matthew Kaye (University of Ontario Institute of Technology, Canada)

Nuclear power is an efficient, low-carbon foundation for baseload electricity generation. The pressure tube heavy water reactor (PT-HWR) is a proven design with extensive operational experience and has great fuel cycle flexibility. Thorium is an abundant fuel source which has not yet been commercially exploited. This work aims to develop reactor physics models of PT-HWR cores on self-sustaining thorium fuel cycles, in which as much fuel is produced as consumed. While the final result is not entirely self-sustaining, it produces 99.06% of the fuel consumed. In addition, this concept can produce 10% more power than standard reactors of this type, while maintaining adherence with regulatory safety limits. Options for future work, including makeup fuel from a coupled reactor, are discussed.

09:00 Uncertainty Modeling in Transmission Underground Cable Asset Renewal Projects

Kings Wong (Hydro One Networks Inc., Canada)

In many power transmission utility companies in North America, there is a large number of underground transmission circuits that are approaching their physical end-of life and will require significant refurbishment work or their outright replacement within the next five to ten years. The evaluation and prioritization of these asset renewal projects is a complex task and involves the consideration of many different areas such as current asset conditions, risk analysis, financial evaluations, system reliability, etc. [1] The implementation of these underground transmission asset renewal projects also contains many uncertainties and risks related to the financial costs, project timing, real estate and environmental issues which are often difficult to assess in the utility company at the project’s initiation stage. This paper discusses the common risks and uncertainties associated in particular with underground transmission cable asset renewal projects. The use of the possibility method for modeling the uncertainties associated with transmission cable asset renewal projects to aid in the assessment and prioritization of the asset renewal projects is also discussed.

09:20 Optimal Harmonic Filter Topology Applied in HV and EHV Networks Using Particle Swarm Optimization

Reynaldo Ramos (The University of Alabama at Birmingham, USA); Gregory Franklin (The University of Alabama at Birmingham, USA)

Passive shunt harmonic filter banks have proven to be an effective method for reducing harmonic distortion in HV and EHV networks, while providing the necessary volt-ampere-reactive power support and voltage support. Previous work in this area has provided information regarding the design and application of harmonic filters as well as discussion of the different filter topologies that are typically employed. However, there is a lack of information in the area of optimal filter sizing and topology selection when the power system is networked. In this paper, a novel approach is presented to optimally solve the filter sizing and topology selection problem using the Particle Swarm Optimization algorithm. The proposed approach is based on the minimization of a multi-objective optimization function while considering the effects of existing shunt capacitor banks and network topology changes. The effectiveness of the proposed method is shown via a numerical example. Simulation results demonstrate the superior performance of the C-Type harmonic filter bank.