Presented by: Doug Houseman and Carmen Garibi

The failure at Colonial Pipeline can happen to anyone who runs a control system and uses modern technology for the user interface, regardless of the underlying control system. Electric utilities are just as vulnerable as Colonial. Understanding Ransomware, how it gets into a system, what it does when it engages, and what you lose if you don’t pay. Ransomware is insidious and hard to stop, a simple firewall is not enough to stop it, nor is a spam filter enough. Ransomware can take many paths into an organization, even a smart phone. Phishing is one of the most common paths into an enterprise. Not all ransomware is restricted to Microsoft platforms, and some can even attack control system platforms. Here are some tips on actively avoiding ransomware, keeping it out of control systems, and finding it before it is too late.


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Presented by: Alan M. Ross

For too long, utility, industrial and commercial facilities have depended upon resiliency or aging principles when looking at the life cycle of grid assets. When we view assets, whose reliability and safety depend upon condition data, under the principles of asset reliability, it is clear we need a different approach to testing, maintenance and life cycle management for a grid to be called “Smart”. This presentation looks at grid assets such as transformers, cable systems, breakers, relays and battery systems from a unique perspective; from that of a reliability professional.


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Presented by: Ioannis Antonopoulos, Benoit Couraud, and Valentin Robu

In the recent years, there has been a growing interest for the use of Distributed Demand-Side-Response (DDSR) to regulate the power system. DDSR consists in the coordination of distributed loads such as industrial, commercial and recently residential end-users to contribute to electricity suppliers’ portfolio balance or frequency regulation. The integration of commercial and residential end-users into DDSR comes with the need for Big Data Analysis and Artificial Intelligence (AI) solutions to optimize the contribution of these distributed assets. In this webinar, we describe what the key challenges of DDSR are, and how AI and Machine Learning (ML) solutions can address these challenges. Based on a recent review of research works and industrial projects, we will detail the principles of the most relevant AI techniques and will explain how they are used in the context of DDSR. Finally, we discuss a number of directions for future research in this area.

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Presented in Two Parts by: 
Dr. Charis Demoulias, Associate Professor, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece & Dr. Milos Cvetkovic, Assistant Professor, Department of Electrical Sustainable Energy, Delft University of Technology, Delft, Netherlands


The high proliferation of inverter-interfaced Distributed Renewable Energy Sources (DRES) at distribution grid level will gradually replace the conventional fuel-driven synchronous generators (SGs) at transmission system level. The inverter-interfaced DRES are mostly driven by variable-output RES such as PV or wind plants and for this reason are considered as non-dispatchable. There are DRES employing SGs directly connected to the grid which are mostly driven by biomass or small-hydro units, thereby considered as dispatchable. Although non-dispatchable, the inverter-interfaced DRES are highly controllable, thus able to provide a number of new services. DRES, particularly the inverter-interfaced ones, must urgently adopt a new more active role in the electricity networks by providing Ancillary Services (AS) similarly to the conventional SGs and even new ones within the distribution grids in order to keep the system stability and robustness. Such AS include: inertial response, active power ramp rate control, operation in frequency sensitive mode, voltage regulation, contribution to fault clearing and harmonic mitigation. This webinar will provide suggestions on (i) how to control the DRES inverters, so that they behave as controllable SGs able to provide the aforementioned AS in a unified way; (ii) methods to aggregate frequency related AS to be offered to the transmission system; (iii) methods on the measurement and quantification of various AS, so that they are transformed from system support functions into tradable AS; (iv) methods for testing the DRES inverters with respect to the new AS. The webinar will also present the obstacles posed by current grid codes, standards or market regulations for the introduction of the new AS and provide suggestions on lifting those obstacles. It is noted that batteries, although not a conventional type of RES, are included in this webinar, since they can provide a number of the aforementioned AS either by themselves or in combination with the non-dispatchable DRES.

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Presented by: Srikanth Chandrasekaran, Senior Director, IEEE SA


IEEE SA is at the forefront of developing standards for the smart grid, starting with the smart grid vision documents in collaboration with the IEEE Smart Grid Initiative that was developed more than 10 years ago focusing on five key aspects of Smart Grid implementation. IEEE-SA has more than 100+ key standards in the area of smart grid and also participated in the development of the "US NIST Framework of Standards and Protocols for the Smart Grid".

The talk will focus standards from IEEE focus that range across the spectrum from Substation Automation, Renewable Energy, Energy Efficiency, IoT/Communication Protocols, and Advanced Metering Infrastructure to name a few and encompasses the end-to-end implementation that includes power and energy generation and transmission, communications and information technology. IEEE SA is also focused on standards implementation through the IEEE Conformity Assessment Program (ICAP) and that talk will cover some of the key certification programs focused around Smart Grid.

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Presented by: Doug Houseman, Grid Modernization Lead, Burns & McDonnell

If we assume that The Green New Deal and Transactive Energy are will happen, we need to realize that no one is ready for what will happen in the next decade.

In a project to determine how many devices will play in the future grid, the numbers were staggering. This presentation will go thru what will be contributing to big data going forward and what that means from an aggregate number of data points, and requirements for processing, and the required system latency if we move to electrification, transactive energy, and 100% renewables. Simply staggering gaps exist between what happens today and what needs to happen.

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Presented by: Abedalsalam "Salam" Bani-Ahmed, Lead Engineer, Power Systems Cybersecurity at Eaton Corporation


With the increasing communication agents and the massive deployment of cyber devices over a wide area of electrical power components, cybersecurity challenge elevates to a higher level as the susceptibility of attack increases. Cybersecurity by design dictates the preparedness of the critical infrastructure in response to a cyber-attack. This webinar introduces the state of the art and best practices in cyber incident management and system resilience against potential cyber-attacks, and highlighting the concept of cyber resilience and the principle of cybersecurity by design.

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Presented by: Prof. Amro M. Farid, Associate Professor of Engineering at the Thayer School of Engineering at Dartmouth, Dakota Thompson, LIINES Ph.D Candidate in Systems Engineering, and Wester C.H. Schoonenberg, Doctoral Research Assistant in the Laboratory for Intelligent Integrated Networks of Engineering Systems (LIINES), at the Thayer School of Engineering at Dartmouth.


Modern life has grown to be extremely dependent on electric power. As the world’s services increasingly electrify, the resilience of the electric power grid is more important than ever. Current methods of studying electric power grid resilience generally fall in one of two categories: (1) N-1 type contingency analysis, and (2) network science methods based upon graph connectedness. The latter use “lightweight” graph models while the former is particularly computationally intensive. Though these methods provide valuable complementary insights, there is a new need for analytical tools that balance analytical insight with computational complexity.
This webinar discusses a set of new resilience measures based upon the application of hetero-functional graph theory to electric power systems. These measures are of particular relevant to the grid’s architectural transformation as it comes to accommodate distributed generation at the grid periphery. Furthermore, the webinar will discuss some of the key differences between existing resilience measures and the newly introduced measures.

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Presented by: Prabir Barooah, Associate Professor, Mechanical & Aerospace Engineer, University of Florida 

Energy storage is needed to help the power grid of the future in balancing the highs and lows caused by intermittent renewables such as solar and wind. Flexible demand – such as air conditioning – can provide the same service as batteries by manipulating their demand around a nominal baseline so that the increase and decrease of demand appears like charging and discharging of a battery. The advantage of these “virtual batteries” over real batteries is their low cost, since only a change in software is needed. A challenge in the effective use of both real and virtual batteries is coordination: a large number of them need to be coordinated so that together they supply what the grid needs. At the same time, the Quality of Service (QoS) of each consumer – on whose premises a flexible load or a battery resides - must be maintained within strict, pre-negotiated, bounds. In this webinar, we will describe methods for coordinating a large number of energy storage and flexible demand resources, and discuss the pros and cons of these methods. ile maintaining and enhancing grid reliability with high penetrations of renewable energy resources.

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Presented by: Junbo Zhao, Ph.D, Assistant Professor (Research) at Virginia Tech University

With the increasing penetration of intermittent renewable energy, responsive loads, and microgrids, the power system has been subject to different types of dynamics. Consequently, the static state estimation (SSE) used in today’s energy management systems may be unable to capture these dynamics in an operational environment. As a result, new monitoring tools need to be developed, such as dynamic state estimation (DSE). The capability of DSE to accurately capture rapid dynamic changes in system states plays an important role in power system control and protection. Thanks to the widespread deployment of phasor measurement units, the development of a fast and robust DSE becomes possible. This webinar will present a comprehensive view of the DSE, in terms of its motivations, concepts, implementation and utilization. The similarities and differences between DSE and other existing estimation methods will be clarified as well.

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