Resource Adequacy Methodologies & Toolkit
Modeling ELCC (Effective Load Carrying Capacity)
July 19, 2021 | Online :: 10:30 a.m. – 2:30 p.m Central Time
Ensuring reliability of service is an essential requirement for a utility or power system operator. The standard used to determine what is the appropriate and available capacity needed to minimize reliability risk, however, is a bit less precise than many realize. Many times the traditional loss-of-load metric does not adequately align with the lowest reasonable cost to customers or reflect the physical risks encountered by the power system or gauge the effects of renewable energy resources on system stability.
This workshop will examine the methodology, tools and processes for deriving effective load carrying capacity (ELCC). It will detail the challenges and opportunities that applying ELCC poses to IRP and other power system modelers and analysts. And the workshop will consider ways in which the industry can collaborate to refine the elements and applicability of ELCC “in the real world” of resource adequacy planning.
Attendees will cover content and engage in discussions and exercises that will allow them to:
- Assess when to use ELCC in developing planning reserve margin and resource adequacy assumptions
- Define the methodology to formulate correct ELCC analyses
- Evaluate and address challenges in applying ELCC
- Discuss what is still necessary to resolve before ELCC can be broadly applied as a reserve margin and resource adequacy planning standard
- Identify how and under what circumstances utilities and power system planners can collaborate to further develop and refine the use of ELCC in reserve margin and resource adequacy planning contexts
Monday, July 19, 2021 :: Central Time
10:15 – 10:30 a.m.
10:30 a.m. – 2:30 p.m.
10:30 – 10:45 a.m. :: Overview and Introductions
Methodology, Tools and Processes for Deriving ELCC
Evaluating and Addressing/Resolving Challenges in Applying ELCC
- Marginal ELCC
- Average ELCC
- Diversity benefit allocation
Possible Barriers to Applying ELCC in Varying Power System Contexts
- Competitive markets
- Assigning to each individual resource challenging
- Capturing declining value of storage and DR short duration resources
- Diversity benefit
- Power Systems
- Vertically integrated utilities
- Cooperatives and G&Ts
- Balancing areas
- System operators
Converting ELCC into a Broad Standard
- ELCC credits to individual resources are technology-neutral and can accurately reflect their unique characteristics
- ELCC credits directly reflect the nature of each resource’s interactions with the portfolio, including both diminishing returns and diversity benefits
Industry Collaboration Opportunities and Applicability
2:30 pm. :: Workshop Adjournment
Zach Ming is a Director in E3’s resource planning practice, with an emphasis on the reliability of high renewable electricity systems. He also has extensive expertise in regulatory and rate design issues, distributed resource cost effectiveness, and market design. Mr. Ming has been the lead author on several high-profile resource planning studies including Long-Run Resource Adequacy under Deep Decarbonization Pathways for California and Resource Adequacy in the Pacific Northwest. He teaches a graduate level course at Stanford University titled Electricity Economics that provides a foundation of economic principles on the topics of regulation, planning, and operation of electric utilities. He joined the firm in 2013. His prior experience includes internships at General Electric, Citigroup, Oklahoma Gas & Electric, and MAP Royalty. Mr. Ming obtained BS and MS degrees in engineering from Stanford University.
Huai Jiang is a senior consultant at E3, where he works in the firm’s Distributed Energy Resources (DER) group to assist utilities, state agencies, and grid operators prepare for a high renewables future. Upon joining the firm in 2017, he applied his skills to enhance E3’s renewable energy capacity (RECAP) model in a project for the Los Angeles Department of Water and Power, California’s largest public utility. Mr. Jiang devised a method using neural network regression to simulate historical hourly load, yielding better estimates of grid reliability in high renewable energy scenarios. He received MS and MSE degrees from Johns Hopkins University and a BS in chemistry from Peking University (China).
We will be using Microsoft Teams to facilitate your participation in the upcoming event. You do not need to have an existing Teams account in order to participate in the broadcast – the course will play in your browser and you will have the option of using a microphone to speak with the room and ask questions, or type any questions in via the chat window and our on-site representative will relay your question to the instructor.
- IMPORTANT NOTE: After November 30 you will not be able to join a Teams meeting using Internet Explorer 11. Microsoft recommends downloading and installing the Teams app if possible. You may also use the Edge browser or Chrome.
- You will receive a meeting invitation will include a link to join the meeting.
- Separate meeting invitations will be sent for the morning and afternoon sessions of the course.
- You will need to join the appropriate meeting at the appropriate time.
- If you are using a microphone, please ensure that it is muted until such time as you need to ask a question.
- The remote meeting connection will be open approximately 30 minutes before the start of the course. We encourage you to connect as early as possible in case you experience any unforeseen problems.
REGISTER NOW FOR THIS EVENT:
Resource Adequacy Methodologies & Toolkit
July 19, 2021 | Online
|Individual attendee(s) - $ 495.00 each|
|- OR - I choose to attend remotely|
|Individual remote connections(s) - $ 495.00 each|
Volume pricing also available
Individual attendee tickets can be mixed with ticket packs for complete flexibility
|Pack of 5 connections - $ 1,980.00 (20% discount)|
|Pack of 10 connections - $ 3,465.00 (30% discount)|
|Pack of 20 connections - $ 5,940.00 (40% discount)|
Buy 4 seats and only pay for 3! For this event every fourth attendee is free!
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