Presented by: Mangal Hemant Dhend

According to Department of Energy (DOE) “Grid 2030” initiatives, grid modernization in to smart grid has become mandatory.  In the deployment of smart grid system current distribution systems are changing in its infrastructure due to addition of renewable distributed generations. Now a days wavelet transform is gaining name as extremely dominant and smart powerful tool in examination of fast momentary signals, analyzing power disturbance and power quality application. Present webinar will focus on demonstrating fault diagnosis using wavelet tool.  

Learning Objectives of webinar:

After attending this webinar learners will be able to:

  1. Understand how fault diagnosis is done by decomposition of fault signal currents.
  2. Grasp implementation of fault signal analysis for evaluating fault type, classify them and find location. 
  3. Compare results obtained with various feature like energy, entropy, and STD extracted from fault signal.

Conclusion- The audience would learn about basics of fault diagnosis in smart grid, application of wavelet transforms for finding fault type, analysis and location.

 

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Presented by: Navid Bayati

The recent years have manifested considerable interest in the novel Microgrids and it increases the challenges related to the protection of these systems. Microgrids are an energy-efficient solution for applications where the majority of electronic loads are local, and the power is produced locally by PV arrays, wind turbines, or fuel cells. Due to the increasing penetration of DC loads and renewable energy sources (RESs) in recent years, utilizing DC systems could provide a more efficient power system due to the lack of skin effect, reduced power conversion stages, and lower line lengths. With the recent developments in power electronic devices, hybrid energy storage, RESs, and smart homes, the DC microgrids have immerged as an essential element for future power systems. However, due to the strict time limits for fault interruption caused by fast high rising fault currents in DC systems, DC microgrid clusters' protection remains a challenging task These developments lead to the integration of Microgrids to the existed networks. This webinar will cover theoretical and experimental progress in the designing of the protection system, fault detection, and location, for DC Microgrids, and analyzing the fault impact on these systems.

 

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Presented by: Benoit (Ben) Marcoux

In this webinar, we offer some fact-based thoughts to fuel utilities’ push toward developing sound Electric Vehicle (EV) charging strategies, focusing here on light-duty passenger vehicles (such as cars and sport-utility vehicles) in North America. The bottom line is that, done right, EVs may prove to be good for utilities and their ratepayers.

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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: Ron Chebra, Jens Schoene, and Brian Smith

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

Objectives:

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

Topics:

  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: Jens Schoene and Muhammad Humayun

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

Objective:

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

Topics:

  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: Kay Stefferud, Neil Placer, and Brian Smith

Objective: Applying Enterprise Architecture to Smart Grid Projects

Topics:

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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