Presented by: Dr M V Chilukuri

Subsynchronous Oscillations/Resonance (SSO/SSR) is a very important phenomenon in Wind Energy Integration to Smart Grid. Since 2009, there were several SSO events causing damage to the wind turbines across the world. The increase in integration of wind energy system to electric grid with series compensation leads to SSO with Type-3/4 Wind Turbines. In addition, it may also occur due to low SCR (weak grid), inverter controls connected to series capacitor, HVDC/STATCOM system. Recently, IEEE PES Task Force on SSO published TR-80 Report focusing on modeling and analysis of SSO. Study of SSO phenomenon in the Smart Grid requires advanced signal processing methods both for measurement and analysis. This webinar will discuss the modeling, detection and analysis of SSO in the Smart Grid. The application of Time-Frequency Signal Processing and Machine Learning for the study of SSO/SSR phenomenon under flicker and noise. Design of protection for the Wind Turbines as well as the system. It will also help in revision of IEEE Distributed Generation Standard 1547.

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Presented by: Jens Schoene and Muhammad Humayun

Part 1 in 2 Part Series: Leveraging Sensors for Greater Situational Awareness


To provide a real world example of a problem solution approach for improving Distribution System State Estimation (DSSE) for ADMS applications.


  1. Current status of DSSE
  2. Limitations of current modeling schemes
  3. Identification of improvements that can be achieved by properly locating sensors and defining the key data acquisition requirements
  4. Development of a Sensor Strategy Plan

Learning Goals:

  1. Understanding the limitations of current approaches
  2. How to define requirements for sensors including optimal location, type and information requirements
  3. Creating of a standard approach for sensor deployment.


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Presented by: Ron Chebra, Jens Schoene, and Brian Smith

Part 2 in 2 Part Series: Leveraging Sensors for Greater Situational Awareness


To provide an example of sensor selection, location optimization, data transport and handling for effective use in the enterprise.


  1. Selecting the proper sensors for the application and enterprise use
  2. Placing the sensors at the optimal locations for greatest efficacy 
  3. Determining the communications requirements (e.g. peak data rate, latency and coverage)
  4. Applying appropriate cyber requirements for data assurance and threat prevention
  5. Data ingestion approaches, validation and alignment
  6. Enterprise data distribution

Learning Goals:

  1. Develop proper rigor around sensor implementations including communication and data treatment
  2. Applying appropriate data trust levels to ensure proper cybersecurity measures


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Presented by: Kay Stefferud, Neil Placer, and Brian Smith

Objective: Applying Enterprise Architecture to Smart Grid Projects


1.       Why Enterprise Architecture is key to smart grid success

2.       Introducing Architecture Frameworks including The Open Group Framework Architecture (TOGAF®)

3.       Smart Grid Architecture Models

4.       Step-By-Step Architecture Process

5.       Architecture Artifact Formatting Hints

Learning Goals:


1.       Understand enterprise architecture’s application to Smart Grid projects

2.       Understand basics of producing enterprise architectures


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Presented by: Pallab Ganguly

With the increasingly intensifying integration of smart devices in the Smart Grid infrastructure with other interconnected applications and the communication backbone is compelling both the energy users and the energy utilities to thoroughly look into the privacy and security issues of the Smart Grid. In this webinar we would present challenges of the existing security mechanisms deployed in the Smart Grid framework and we will try to project the unresolved problems thru ‘this webinar that would highlight the security aspects of Smart Grid as a challenging area of research and development in the future.

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Presented by: M V Chilukuri

Power quality (PQ) is very important to ICT industry, Data Centres and Digital Transformation. Recently, there is an increase Renewable Energy  (RE) penetration into the grid, Electrification of Transportation sector through increase in use of Electric Vehicles (EV) and EV Charging stations in the distribution system to reduce carbon emission. This requires more attention to Power Quality as RE and EV integration in distribution brings more PQ issues such as Supraharmonics, Voltage Flicker and Voltage Distortion. Study of the power quality phenomenon in the Smart Grid requires advanced signal processing methods both for measurement and analysis. The application of Time-Frequency Analysis and Machine Learning for the study of power quality and diagnostics will become more essential than ever. This webinar will discuss the future of Power Quality in Smart Grid and revision of IEEE PQ standard 1159.

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Presented by: Stuart Laval, Larry Lackey & Zhihua Qu

New technologies being introduced onto the electric grid are not only affecting the speed and volume of data being measured and communicated, but also the operational behavior of the power system. In order to address the current limitations with centralized data management, a federated interoperability approach, known as the Open Field Message Bus (OpenFMB) framework, was developed and standardized in an effort to improve the situational awareness, resilience, and flexibility of tomorrow’s two-way grid that is embracing distributed energy resources. By pushing distributed intelligence closer to the grid edge, coordinated decisions can be quickly orchestrated, communicating devices can be easily secured, and information systems can efficiently scale to meet the evolving needs of the utility operational infrastructure. This session will introduce the fundamental details of the OpenFMB standard, the business drivers, and its underlying technology architecture.

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Presented by: Benoit (Ben) Marcoux

In this presentation, we will offer some fact-based thoughts to fuel utilities’ push toward developing sound EV strategies. Our suggestions are inspired by the actions of some of North America’s leading utilities, which we have had the privilege of assisting with data and strategic advice over the last few years. Done right, EVs prove to be good for utilities and their ratepayers.

Essentially, three value streams exist to support the case for utilities to support public EV charging. First, research has shown that light-duty EVs put downward pressure on electricity rates through increased demand requiring little incremental investment. Second, EV drivers are prime targets for other utility programs, because they are the most digitally engaged of all customers. Finally, leading utilities see new business opportunities from home, public, and workplace charging.


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Presented by: Sahand Ghaseminejad Liasi

Electric vehicles (EVs) are getting more popular and this means that conventional internal combustion vehicles will be replaced by EVs soon. While EVs can bring various benefits in different aspects (such as higher efficiency, less urban air pollution, etc.), exploiting a huge number of EVs without preparing a proper infrastructure would lead to different undesirable consequences. The challenges and consequences include, but not limited to the followings:

  • Power system reliability problems
  • Serious problems in power generation and meeting electricity power demand
  • Charging infrastructure

To cope with these problems, different solutions have been suggested. In this presentation, the challenges and some of the main solutions will be discussed. After the webinar, you will find the answer of the following questions:

  • What are the main challenges of EVs penetration?
  • What are the main EVs charging challenges and the possible solutions?
  • How to place charging stations optimally considering both electrical and traffic considerations?
  • How to use EVs to perform a flexible demand response program?
  • How to enhance power system reliability using EV?
  • How the existence of EVs can effect traffic?

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Presented by: Sai Akhil Reddy Konakalla

Recent growth in deployment of distributed energy resources (DERs), energy storage systems, and advanced grid control schemes have increased the levels of variability in generation and load conditions over the transmission and distribution system. Large scale decentralization of electricity production and rise in the adoption of independently operable (micro-) grids has made it even more difficult to control load or generation perturbations caused by production or consumption variability. Complementary to the traditional Supervisory Control and Data Acquisition (SCADA) based control, modern grid control based on much faster measurements such as time-synchronized phasor data has proved to be promising to provide additional robustness. Two unique use cases will be used to present the modern grid challenges and discuss solutions. The first is the issue of spinning reserve due to variations in renewable energy, mainly PV cloud events. The second is the issue of sudden reverse power flow into the power station in systems with high renewable penetration and unprecedented sudden load loss.

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