ABOUT THIS VIRTUAL INSTRUCTOR LED TRAINING (VILT)
This Virtual Instructor Led Training (VILT) course presents advanced
methodologies that implement demand response and energy conservation programs in
light of the integration of new technologies, regulatory changes and the
accelerated penetration of renewable energy resources.
This VILT course provides examples and case studies from North American and
European jurisdictions covering the operational flexibilities on the demand side
including requirements for new building codes to achieve zero net energy. The
course describes a public agency's goals and objectives for conserving and
otherwise reducing energy consumption and managing its demand for energy. This
course presents the demand response implemented for economics and system
security such as system balancing and relieving transmission congestion, or for
system adequacy. The course also presents the principal attributes of
conservation programs and the associated success criteria. In a system with
increased penetration of renewable resources, demand response provides
flexibility to system operators, helping them to maintain the reliability and
the security of supply.
Demand response is presented as a competitive alternative to additional power
sources, enhancing competition and liquidity in electricity markets. The unique
characteristics are discussed from a local, consumer centric and also from a
system perspective bringing to life the ever changing paradigm for delivery
energy to customers. Interoperability aspects and standards are discussed, as
well as the consumer centric paradigm of Transactive Energy with IOT enabled
flexibilities at system level, distribution networks and microgrids.
The VILT course introduces the blockchain as a new line of defense against cyber
threats and its increasing application in P2P transactions and renewable
certificates. Our trainer's industry experience spans three decades with one of
the largest Canadian utilities where she led or contributed to large operational
studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our
key expert also approaches to the cross sectional, interdisciplinary state of
the art methodologies brings real life experience of recent industry
developments.
Training Objectives
* Innovative Digital Technologies
* How systems Facilitate Operational Flexibility on the Demand Side
* The Ecosystem of Demand Side Management Programs
* Advanced Machine Learning techniques with examples from CAISO
* Regulatory Policy Context and how to reduce regulatory barriers
* Industry Examples from NERC and ENTSO
* Relevant Industry standards: IEEE and IEC
* Manage Congestion with Distributed Operational Flexibilities: Grid to
Distribution Controls; examples from NERC (NA) and ENTSO (Europe)
* Grid solutions with IEC 61850 communication protocols
* Decentralized grid controls
* The New Grid with accelerated V2G and Microgrids
* How DSM is and will be applied in Your System: Examples and discussions
Target Audience
* Regulators and government agencies advising on public energy conservation
programs
* All professionals interested in expanding their expertise, or advancing their
career, or take on management and leadership roles in the rapidly evolving
energy sector
* Energy professionals implementing demand side management, particularly in
power systems with increased renewable penetration, to allow the much needed
operational flexibility paramount to maintaining the reliability and
stability of the power system and in the same time offering all classes of
customers flexible and economical choices
* Any utility professional interested in understanding the new developments in
the power industry
Course Level
* Basic or Foundation
Training Methods
The VILT course will be delivered online in 5 half-day sessions comprising 4
hours per day, with 2 x 10 minutes break per day, including time for lectures,
discussion, quizzes and short classroom exercises.
Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total).
Trainer
Your first expert course leader is a Utility Executive with extensive global
experience in power system operation and planning, energy markets, enterprise
risk and regulatory oversight. She consults on energy markets integrating
renewable resources from planning to operation. She led complex projects in
operations and conducted long term planning studies to support planning and
operational reliability standards. Specializing in Smart Grids, Operational
flexibilities, Renewable generation, Reliability, Financial Engineering, Energy
Markets and Power System Integration, she was recently engaged by the
Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in
the regulatory assessment in Oman. She is a registered member of the
Professional Engineers of Ontario, Canada. She is also a contributing member to
the IEEE Standards Association, WG Blockchain P2418.5.
With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S
16 GW), she served as Canadian representative in CIGRE, committee member in
NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior
Member IEEE and Elsevier since the 90ties. Our key expert chaired international
conferences, lectured on several continents, published a book on Reliability and
Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in
the Ontario Journal for Public Policy, Canada. She delivered seminars organized
by the Power Engineering Society, IEEE plus seminars to power companies
worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia,
Portugal, South Africa, Japan, Romania, and Guyana.
Your second expert course leader is the co-founder and Director of Research at
Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and
it has been voted as Toronto's Best Tech Startup 2019 and was named one of the
top 10 'Canadian AI Startups to Watch' as well as one of 6th International
finalists for the VW Siemens Startup Challenge, resulting in a partnership. His
latest app Xesto-Fit demonstrates how advanced AI and machine learning is
applied to the e-commerce industry, as a result of which Xesto has been recently
featured in TechCrunch.
He specializes in both applied and theoretical machine learning and has
extensive experience in both industrial and academic research. He is specialized
in Artificial Intelligence with multiple industrial applications. At Xesto, he
leads projects that focus on applying cutting edge research at the intersection
of spatial analysis, differential geometry, optimization of deep neural
networks, and statistics to build scalable rigorous and real time performing
systems that will change the way humans interact with technology. In addition,
he is a Ph.D candidate in the Mathematics department at UofT, focusing on
applied mathematics. His academic research interests are in applying advanced
mathematical methods to the computational and statistical sciences. He earned a
Bachelor's and MSc in Mathematics, both at the University of Toronto.
Having presented at research seminars as well as instructing engineers on
various levels, he has the ability to distill advanced theoretical concept to
diverse audiences on all levels. In addition to research, our key expert is also
an avid traveler and plays the violin.
POST TRAINING COACHING SUPPORT (OPTIONAL)
To further optimise your learning experience from our courses, we also offer
individualized 'One to One' coaching support for 2 hours post training. We can
help improve your competence in your chosen area of interest, based on your
learning needs and available hours. This is a great opportunity to improve your
capability and confidence in a particular area of expertise. It will be
delivered over a secure video conference call by one of our senior trainers.
They will work with you to create a tailor-made coaching program that will help
you achieve your goals faster.
Request for further information about post training coaching support and fees
applicable for this.
Accreditions And Affliations