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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Presented by: Poorva Sharma and Ron Melton

Advanced Distribution Management Systems (ADMS) are increasingly necessary to integrate operations across various systems and evaluate distribution applications in an efficient and timely manner. To accelerate the integration, evaluation, and deployment of advanced distribution technologies, it is beneficial to standardize the Application Programming Interface (API) for applications deployed in the ADMS environment. Standardized APIs provide a set of functions enabling developers to access the data and services by making logical references to the data model. These logical references remain the same irrespective of how the data or services are physically implemented.

This approach reduces the duration and high cost associated with application development and makes applications more portable and interoperable. In this presentation, we will show how with DOE sponsorship, researchers at PNNL, in partnership with other national labs and industry, used the Common Information Model (CIM) - a standard to describe the structural model of the electric power system - to develop the standardized data model and interfaces. We will also describe GridAPPS-D, an open-source, reference implementation of the standardized API developed to support this approach.

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Presented by: Jean-Michel Clairand, Universidad de las Américas – Ecuador

The market for electric vehicles (EVs) has grown with each year, and EVs are considered to be a proper solution for the mitigation of urban pollution. However, it is well known that a massive introduction of EVs will lead to grid issues, so significant research has been performed in this area. However, a few research has been devoted to EVs for public transportation, such as taxis and buses. This webinar will focus on new trends, technologies, and challenges for integrating properly electric taxis and buses in power systems.

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Presented in 2 parts by: Alexandre Nassif, Specialist Engineer, ATCO

This presentation addresses topics covering utilities new practices to reduce economic barriers to the expansion of renewable DERs. Increasing DER Hosting Capacity not only can enable more market participants, but primarily improves the economic feasibility of many projects. Traditional utility practices are very restrictive on how DERs can operate. Forms of operational control that were not previously adopted, such as DER voltage control, have recently been considered and accepted by utilities to fulfill modern societal mandates. Another essential feature in the interconnection of DERs is the ability to detect operation under islanded condition. International standards have strict requirements for detection and extinction of islanding conditions, resulting in requirements that may preclude renewable DER projects to become financially viable. The acceptance of inverter native active anti-islanding schemes is a potential low-cost solution but represents a new paradigm for electric utilities. Similarly, employing out-of-the-box solutions to improve performance grounding and protection coordination are needed to streamline interconnection.

Outline Part I:
- Environment conducive to DER proliferation
- Distribution system considerations - Utilities must adapt to high DER penetration scenarios
- DER impacts and review of DER interconnection standards
- DER problem #1 - Steady-State Overvoltage and mitigation
- DER problem #2 - Variability and its impact on distribution system planning

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Outline Part II:
- Intro and review of Part I
- DER problem #3 - Anti-Islanding protection and coping with risk of island
- DER problem #4 - Protection coordination and adopted practices
- DER problem #5 - Performance Grounding and two case studies

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Presented by: Dr. Shashank Vyas, The Energy and Resources Institute

High instantaneous penetration levels of solar PV generation on distribution feeders can lead to anomalous power flows. Such transients often develop from reverse power flows caused by disruption of PV-load balance during brownouts that can trigger the low-voltage side protection devices at the point of common coupling with possibility of unintentional islanding.

The presentation is an attempt to showcase major findings of a 2-year study done on benchmark distribution models and emulated feeders that explored the effect of load models and instantaneous power balances between loads and PV inverters in shaping up transient spikes that could potentially island a section. These ‘islanding precursors’ were used in a machine-learning framework so as to alert the inverter control circuitry. Such preemptive islanding-detection capability can be leveraged to isolate the inverter and switch to a V/f regulation mode to safely continue supply to the islanded section.

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