Energy and Utilities Virtual Conference

Abstracts

Integrating Measured Data with Simulations for Automated Model Calibration

Shripad Chandrachood and Graham Dudgeon, MathWorks

As a part of ensuring power system reliability through accurate system simulation, math models of generating stations are periodically recalibrated through comparison with field test data. This is not a trivial task, and the time and cost associated with manually performing such verification can be significant.

The introduction of synchrophasor technology provides an additional layer of insight into system operation. Synchrophasor measurements provide several benefits for enhancing a model calibration effort, including:

  • Additional high accuracy measurements for comparison against simulation
  • Reduced model complexity, and hence simulation time, by allowing model components to be replaced with a data-driven component
  • Model verification of online phenomena that may not be captured with offline field testing

This presentation demonstrates how you can use MATLAB and Simulink to automate the process of model calibration, thereby significantly reducing the resource required to perform these tasks.

About the Speakers

Shripad Chandrachood

Shripad is an applications engineer at MathWorks with a focus on power systems simulation using MATLAB and Simulink. Prior to joining MathWorks in 2007, Shripad worked as an operations and control engineer with the TATA Power Company based in Mumbai, India. He holds a bachelor’s degree in electrical engineering from the University of Pune, India, and a master of science in electrical engineering from the University of Alabama, Birmingham.

Graham Dudgeon

Graham is the energy production industry manager at MathWorks. He joined MathWorks in 2004 and has held positions as senior and principal technical consultant. His focus as an engineer has been primarily on physical modeling and control design, and he has worked with a broad range of customers in the energy, aerospace, defense, marine, automotive, and transport industries. Before joining MathWorks, Graham held senior research fellow positions at the University of Strathclyde in the Centre for Economic Renewable Power Delivery (CERPD) and the Rolls-Royce University Technology Centre in Electrical Power Systems. He began his career with the Defence Evaluation and Research Agency (DERA), an agency of the U.K. Ministry of Defence. He received his M.Eng. (Distinction) in avionics and Ph.D. in multivariable control from the University of Glasgow.

MATLAB and Simulink in the Energy and Utilities Sector

Graham Dudgeon, MathWorks

The energy and utilities sector has a unique blend of traditional and innovative engineering systems and operating methods. This landscape leads to an increasing importance on using software tools that cover a broad range of disciplines and are agile enough to support changing technical and operational requirements. In this presentation, MathWorks Energy Industry Manager Graham Dudgeon discusses the benefits that organizations realize through adopting MATLAB and Simulink in the energy and utilities sector.

About the Speaker

Graham Dudgeon

Graham is the energy production industry manager at MathWorks. He joined MathWorks in 2004 and has held positions as senior and principal technical consultant. His focus as an engineer has been primarily on physical modeling and control design, and he has worked with a broad range of customers in the energy, aerospace, defense, marine, automotive, and transport industries. Before joining MathWorks, Graham held senior research fellow positions at the University of Strathclyde in the Centre for Economic Renewable Power Delivery (CERPD) and the Rolls-Royce University Technology Centre in Electrical Power Systems. He began his career with the Defence Evaluation and Research Agency (DERA), an agency of the U.K. Ministry of Defence. He received his M.Eng. (Distinction) in avionics and Ph.D. in multivariable control from the University of Glasgow.

Working with Time-Series Data in MATLAB

Abhaya Parthy, MathWorks

A key challenge with the growing volume of measured data in the energy sector is the preparation of the data for analysis. This challenge comes from data being stored in multiple locations, in multiple formats, and with multiple sampling rates. This presentation considers the collection of time-series data sets from multiple sources including Excel files, SQL databases, and data historians. Techniques for preprocessing the data sets are shown, including synchronizing the data sets to a common time reference, assessing data quality, and dealing with bad data. We then show how events can be defined in the data sets before statistical analysis is performed.

About the Speaker

Abhaya Parthy

Abhaya is an application engineer at MathWorks Australia, where he applies methods from the fields of mathematical and physical modeling, optimization, signal processing, statistics, and data analysis across a range of industries. Abhaya holds a Ph.D. and a B.E. (software engineering), both from the University of Sydney, Australia. In his research, he focused on array signal processing for audio and acoustics, and he designed, developed, and built a dual concentric spherical microphone array for broadband sound field recording and beam forming.