Clean Energy Integrated Resource Planning

Module-1: Overview of Integrated Resource Planning – Big Picture

Module-2: Emerging technologies in IRPs – Recent trends

Module-3: Recent IRP Case Studies

Module-4: IRP Methods and Modeling Tools

Module-5: IRP Modelling, Calculation, and Simulation Examples

Module-6: IRP Forecasting

Seminar Modules

Module-1: Overview of Integrated Resource Planning – Big Picture

Description

Integrated Resource Plans are not new to the utility industry. What is new is planning for the change in resource mix and capacity needs in the backdrop of a plethora of emerging technologies and state policies. The overview will cover the following

1. Why IRP?
2. Hybrid Resources Capacity Credit
3. Energy Storage Policy
4. Distributed Energy Resources
5. Microgrids
6. Capacity Optimization
7. Production Cost
8. Distribution Integrated Resource Plan
9. Effective Load Carrying Capability
10. Stacked Services Emulation
11. Clean Energy Competitive Auctions
12. Reliability Criteria
13. Renewable Portfolio Standard
14. Least cost planning
15. IRPs in wholesale markets
16. IRPs in States that do not have organized markets
17. Role of State Commissions in IRPs
18. Citizen and Consumer Advocates concerns
19. Role of renewable auctions and PPAs

What Will You Learn

1. Role of IRP in states with and without organized markets
2. Role of state commissions and regulatory staff in IRPs
3. Role of intervenors including consumer advocates
4. How renewable auctions and PPAs are modeled in IRPs

Module-2: Emerging technologies in IRPs – Recent trends

Description

There is no doubt that renewable technologies and other emerging technologies such as energy storage, distributed energy resources are providing capacity needs on the grid. This module will dive deep into technology characteristics and methods to represent emerging technologies in integrated resource plans.

1. Role of energy storage in IRP models
2. Role of DERs in IRPs
3. Hybrid Resources
4. Microgrids
5. Virtual Power Plants
6. Capacity credit for resources
7. ELCC calculations
8. Demand-side options modeling

What Will You Learn

1. How are emerging technologies modeled in the IRPs?
2. What are the key characteristics that need to be modeled in the IRPs?
3. How to calculate capacity credit for Hybrid Resources?
4. How do the models need to change to incorporate characteristics of emerging technologies?

Module-3: Recent IRP Case Studies

Description

There is a lot to learn from current and former IRPs. In this module, we discuss the following IRP key takeaways, as well as a comparison of IRP, approaches:

1. Puerto Rico
2. Xcel – Minnesota
3. Vectren-Indiana
4. Platte River – Colorado
5. Lafayette Utilities
6. Detroit Edison (DTE) Energy
7. Long Island Power Authority
8. Puget Sound Electric
9. Basin Electric
10. Evergy
11. Nebraska Public Power District
12. Pacificorp
13. Northwestern Energy

What Will You Learn

1. What are the general trends of IRPs?
2. Hits and misses of the recent IRPs?
3. How are mini-grids modeled in IRPs?
4. How is reliability handled in IRPs?
5. How were renewable Power Purchase Agreements (PPA) incorporated in IRPs?
6. How to show the rate impacts from meeting 100% renewable goals?
7. How solar advocates voiced their concern with IRPs?

Module-4: IRP Methods and Modeling Tools

Description

With the introduction of renewables and distributed resources, IRP models are also changing with the times. This module extensively discusses the inputs, outputs, and modeling methodologies of IRP framework tools.

1. Reliability Calculations of LOLE, LOLP, EUE
2. Planning Reserve Margin Calculations
3. Least Cost Capacity Optimization
4. Production Cost Simulations
5. Expected Load Carrying Capability (ELCC)
6. Stacked Services Emulator
7. Net Present Value
8. Forecasting Fuels, Demand, and Renewables
9. Critical inputs to IRP models
10. Typical input data sources
11. Scenarios, Cases, and Sensitivities
12. Key outputs from IRP models
13. Key Assumptions
14. IRP Metrics
15. All the IRP tools on one slide

What Will You Learn

1. What are the major IRP modeling frameworks?
2. What are all the typical inputs into IRP models?
3. What outputs should we expect?
4. What are the challenges with these software models?
5. How to represent emerging technologies in the modeling tools?

Module-5: IRP Modelling, Calculation, and Simulation Examples

Description

The integrated resource planning modeling, calculations, and simulations can become detailed and complex, where this module carefully goes through workflow processes with real-world examples of integrated resource plans.

1. Reliability Calculations of LOLE, LOLP, EUE
2. Planning Reserve Margin Calculations
3. Least Cost Capacity Optimization Expansion Cases
4. Production Cost Simulations
5. Expected Load Carrying Capability (ELCC)
6. Stacked Services Emulator
7. Net Present Value
8. Forecasting Fuels, Demand, and Renewables

What Will You Learn

1. What is the workflow process steps for IRP studies?
2. What are the procedures for developing IRP cases?
3. What are the steps in running the simulations of IRP tools?
4. How to interpret the results of IRP models?
5. What are IRP metrics to focus on?

Module-6: IRP Forecasting

In this module, you will learn about different forecasting techniques and forecasting requirements for clean energy integrated resource planning. There many underlying forecasts that flow into the integrated resource plan process such as fuels prices, demand, renewables, energy, and ancillary services prices, technology costs, and others. The module will go through the sources, shaping, scaling, methods, and outputs of the following forecasts.

1. Demand Forecasts
2. Fuel Price Forecasts
3. Renewables Forecasts
4. Energy and Ancillary Price Forecasts
5. Technology Cost Forecasts
6. Other Forecasts

What Will You Learn

1. What are the methods for forecasting and shaping demand forecasts?
2. What are the typical sources for forecast input data?
3. Where are the underlying forecasts used in integrated resource plans?
4. How do IRP planners rely on forecasts in actual IRP’s?

Dr. Randell Johnson

Dr. Johnson has expertise and experience in the Valuation, Design, Procurement, and Operations of Grid Batteries and Distributed Energy Resources. Dr. Johnson has been involved in the Energy Storage Road Map for the Maldives, New York Energy Storage Road Map, Massachusetts State of Charge Study, MISO Energy Storage Study, and numerous other energy storage studies. Dr. Johnson is inventor of the Acelerex integrated resource planning software and has also developed microgrid control software. He was selected by the World Bank to study 100% carbon-free grids with energy storage and the software is selected by the multiple international agencies for increasing penetration of renewables with storage. He is expert at power markets and valuation of energy storage to maximize utilization of existing transmission systems and co-optimization of other resources. A Harvard Business Case has been written for energy storage that includes methods pioneered by Dr. Johnson.

Dr. Johnson holds a Ph.D. in Power Engineering from Rensselaer Polytechnic Institute and an MS in Economics from Cass Business School, UK, and a Utility Corporate Finance Certificate for Gas and Electric Utilities from UConn Business School. Dr. Johnson has background in strategy, regulatory finance, economic optimizations, quantitative finance, electricity and energy markets, public policy, technical grid design, real-time optimizations, and high-performance computing.

Rao Konidena

Ras has domestic and international experience presenting and writing opinion pieces on distributed energy resource (DER) and energy storage topics. International regulators received the training, including Central America, Colombia, Denmark, East Africa, Mexico, the Philippines, and Vietnam. Most recently, Rao was with Midcontinent Independent System Operator (MISO) as Principal Advisor for Policy Studies, working on energy storage and distributed energy resources. At MISO, Rao worked in management and non-management roles around reliability planning, resource adequacy, resource forecasting, economic planning, compliance, and policy functions. Rao has broad expertise in DER topics, including wholesale market compensation mechanisms for DER services, Value of DER, DER forecasting, DER regulation, and planning for DER. 

Including fifteen years at MISO, Rao has two decades of utility, consulting, and manufacturing industry experience. Rao has an Electrical and Electronics Engineering Bachelors’ degree from Bangalore University. His graduate school thesis was on the economic analysis of photovoltaics and fuel cells from the University of Texas at Arlington. Rao also has a Master of Business Administration (MBA) from the University of Minnesota's Carlson School of Management.

This two-day seminar will be held at the hotels listed below or can be conducted on-site at your facilities. The seminar will start promptly at 8:00 AM and will finish at 4:30 PM on the first day. On the second day, the seminar will resume at 8:00 AM and will finish at 12:00 PM. The program includes continental breakfast, lunch and coffee breaks on the first day and a continental breakfast, and coffee breaks on the second day. Attendees also receive a professionally produced seminar manual that can serve as a valuable office reference. Dress is casual for all seminars.

The price for this comprehensive two-day seminar is $1,895 (USD), plus $45 per attendee for the seminar manual and processing.

Register online or call (843) 212-4038.

• Government and university employees receive a 10% discount (check the box when you register).
• Register 4 or more attendees and receive 20% off. Special pricing is available for groups of 5 or more. Call (843) 212-4038 for assistance.

Payment is due prior to the start of the seminar by Visa, Master Card, American Express, or corporate check. Seminar fees are charged at the time of registration unless other arrangements have been made. Checks payable to “PGS Energy Training,” 26 Teal Lane, Hilton Head Island, SC 29926. Cancellations result in a credit good for 2 years, transferable to a colleague. Substitutions may be made at any time. For more on PGS policies, contact our offices at (843) 212-4038.

This live group seminar is eligible for 12.0 CPE credits in Specialized Knowledge. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit.

As of January 1, 2002, sponsored learning activities are measured by program length, with one 50-minute period equal to one CPE credit. One-half CPE credit increments (equal to 25 minutes) are permitted after the first credit has been earned in a given learning activity. You may want to verify that the state board from which your participants will be receiving credit accepts one-half credits.

PGS is a NASBA-registered CPE sponsor and a GARP-approved CPD provider, so see accreditation details.