Overview

Explore how to Minimize Time for Testing of new Safety Critical Algorithms and Improves Equipment Uptime in Distributed Power Systems (EMS) and Validate Renewable Energy Models to Address Regulatory requirements

Topic Series #01: Design and Testing of Energy Management Systems (EMS) for Distributed Power Systems

19 Oct 2022 | 10:30 - 11:30 (GMT+8) | Via Zoom

In this webinar, we will perform system-level simulation of a microgrid system to demonstrate system optimization and validation of an industrial-scale distributed control system. The webinar will show how designing with simulation helps minimize time for testing of new safety critical algorithms and improves equipment uptime in the field.

Highlights:

In this webinar, we will demonstrate:

Modeling and optimizing industrial control equipment with Simulink for electrical systems
Using the simulation environment to design supervisory logic for multiple subsystems, such as solar and energy storage systems
Applying Real-time Optimization to perform Energy Storage Dispatch
Testing and verifying supervisory logic under all operating conditions
Generating IEC 61131 Structured Text and Embedded C software from the tested supervisory control algorithm

Missed this webinar? Email us with your organizations email address to request for slides: events@techsource-asia.com.

Topic Series #02: Commissioning and Validating Renewable Energy Systems using MATLAB and Simulink

02 Nov 2022 | 10:30 - 11:30 (GMT+8) | Via Zoom

In this webinar, we will show how MATLAB and Simulink can be used to validate renewable energy models to help address regulatory requirements for commissioning, such as voltage-ride through requirements. As a result of the increasing number of utility-scale solar, wind and energy storage systems, regulatory requirements have recently been expanded to include many renewable energy installations.

Highlights:

Topics of Power Plant Model Validation that will be covered in this session include:

Overview of system-level traditional and inverter-based renewable power plant models
Design and Testing of Power Converter Controllers
Performing replay of field data, such as voltage step tests or grid events, to compare the model against the measurements
Automatic parameter estimation to identify parameters that result in an accurate simulation
Creating a power plant digital twin that can be used for system performance tracking and predictive maintenance

Jonathan LeSage is the Application Engineering Manager at MathWorks Inc. specializing in the Energy Production and Industrial Automation industries and has been with the MathWorks since 2013. His focus at the MathWorks is on building models of multi-physics systems and then leveraging them for control design, hardware-in-the-loop testing and embedded code generation.

Jonathan holds a B.S. and a Ph.D from the University of Texas at Austin specializing in power systems, controls, and machine learning. Prior to MathWorks, Jonathan worked at an oil field services company on downhole tools and at Applied Research Labs on microgrids and ship electrification.

Overview

Highlights:

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Our Speaker

Jonathan LeSage

Application Engineering Manager

Jonathan holds a B.S. and a Ph.D from the University of Texas at Austin specializing in power systems, controls, and machine learning. Prior to MathWorks, Jonathan worked at an oil field services company on downhole tools and at Applied Research Labs on microgrids and ship electrification.