EV Managed Charging Workshop Series for Utilities

Program Design, Data, Load Shapes, & Analytics
Session 1: June 20 | 10am-11:30am MDT
Session 2: June 27 | 10am-11:30am MDT
Is someone at your utility planning for managing electric vehicle charging, or developing EV load management programs now? If so, this online workshop series taught by industry experts will provide an excellent foundation as well as advanced approaches for the emerging area of managed charging.

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Program design options and choices that match utility and customers’ needs
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The selection of technologies used for EV load management/managed charging
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Behavior-based vs. active managed charging programs
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Rate design interaction with managed charging programs
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Results, data, and case studies from existing managed charging programs
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Detailed data needs and analytics to create accurate programs outcomes
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How managed charging can influence both system level and distribution system costs
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The future of EV managed charging program design for residential and business/fleet applications
WORKSHOPS WILL COVER
Workshop 1
​Program Design: EV Managed Charging and Demand Response

ï‚·Available technologies for connecting and managing EVs. This includes the pros and cons of electric meter data (AMI) disaggregation, vehicle telematics, device-based telematics, charger EVSEs and combinations of technologies.
ï‚·Proven methods for encouraging change in charging behavior. This will include considerations of active control versus behavioral program designs; event-based versus scheduled Load Management; and combination design approaches along with the benefits and limitations of each.
Factors that should be considered in program design: Baseline data for program comparison/evaluation, sample sizes, program adoption rates, customer incentive design, marketing/outreach to gain customer involvement.
Workshop 2
EV Managed Charging In-field Case Studies

​Describe the wide variety of programs along with detailed program parameters being implemented today.
​Showcase the array of designs and their use cases, including behavioral management, scheduled end-state charging, active and behavioral peak demand response, and peak/off-peak pricing.
Describe the variety of incentives provided to EV drivers, including discounted electric rates, one-time up-front payments, ongoing monthly payments, event-based rewards, and various penalties, “strikes”, and warnings.
Program outcomes can be used to benchmark new programs, demonstrate impacts of programs in the field, and create specific EV load shapes under various programs and weather conditions. Demonstrate how this information can be used in transportation electrification plans.

This online workshop series will be held in two sessions.
​We encourage participants to attend both sessions, but it is not essential. The instructional portion of each session will last approximately 60 minutes, followed by 15-30 minutes of questions and open discussion.
WHO SHOULD ATTEND?
​The workshop is designed for utility professionals who are actively working on or planning programs and projects in which electric vehicle charging patterns are influenced for grid optimization and cost efficiency. Course curriculum is broad - in that technology, program design, marketing, behavior change, and data analytics will all be covered. Prior knowledge of utility operations will be helpful, but not essential to the value gained by participation.
This is a utility-only event, and we can expect participants to be from various departments, including:
Electric transportation
Demand-side management programs and marketing
Distribution and system planning
ï‚·Load forecasting
ï‚·Rate design
Additional discussions around data analytics will be included on topics such as: preferences for charging levels/speeds; combining data from multiple sources such as telematics, EVSEs, AMI; translating vehicle data to useful utility information; adopting program designs to difference vehicle situations such as home/work/trip charging.
In summary, this workshop series will explore the new frontier of electric vehicle load management, demand response and managed charging programs. Electricity providers and network managers will need to get in front of these challenges before EV loads begin to impact utility assets. The new role of utilities as providers of transportation fuels will change the relationship between utilities and their customers, and the choices utilities make in developing this relationship will help define future success.
WORKSHOP INSTRUCTORS

Katie Parkinson, MSc.
Vice President of Utility Services, Rolling Energy Resources & Project Director, Apex Analytics
Katie is an expert in designing and executing EV load management programs for investor-owned utilities, municipalities, and G&T power providers all over the country. Her focus on the human behavior elements of program design gives her a different perspective than simply economic and technical evaluation. Katie’s 15 years of experience in demand-side management and demand management intersects with her deep knowledge of EV managed charging programs. She serves as the co-chair of the Peak Load Management Alliance (PLMA) electrification transformation interest group. Katie earned her bachelor’s degree in Economics and Environmental Studies from the University of California Santa Cruz, and a MSc in Behavioral Sciences from the London School of Economics.

Daniel M. Violette, Ph.D.
Director, Apex Analytics & Director, Rolling Energy Resources
Dr. Violette has been a leader in demand-side management and data analytics in the utility industry throughout his career. He is an expert in electric pricing and demand response, and has created innovative methods for data collection and reporting, analyzing and quantifying EV load management impacts, and assessing how changes to programs can affect program impacts.
He has years of experience in the design of demand-response programs spanning direct load control, behavioral programs, and pricing-based programs. He has previously taught training courses at DistribuTech, DSM/DR for EPRI, NARUC, and AESP. He was also the Chair of EPRI’s innovative pricing conference for 3 years.
Dr. Violette has evaluated over 100 demand response programs, and he was a co-author of California’s initial set of Protocols for Estimating Demand Response Impacts across both load control and pricing programs. He was a founder of the Peak Load Management Alliance and served 3 elected terms as Vice Chair. He authored PLMA position papers on DR for presentation at technical conferences at the PJM ISO, ISO NE, and other reliability organizations looking at the potential for DR to become a reliable resource. Dr. Violette received his Ph.D. in Economics from the University of Colorado where he received honors in the fields of Econometrics and Industrial Organization.

Scott Dimetrosky
President, Apex Analytics & Chief Executive Officer at Rolling Energy Resources
Mr. Dimetrosky is an expert in utility-managed charging programs, having built Rolling Energy Resources from the ground up. He brings his decades of expertise in planning and evaluating dozens of utility energy-efficiency, load management, and market transformation programs. As a co-founder of RER, Mr. Dimetrosky helps coordinate all aspects of the business, including utility outreach, software development, and end-use customer MyCharge reporting. He has an M.B.A. in Marketing Research & Quantitative Methods from Cornell University and a B.A. (Magna Cum Laude) in Sociology from the University of Michigan.
In case you encounter any difficulties while signing up, or if you have further questions, our team is here to assist you. Feel free to reach out to Jennifer Stegeman at 303-590-9888, extension 219, or via email at jennifer.stegeman@rollingenergyresources.com. We look forward to having you participate in this workshop series!