testing the reliability of ferc’s wholesale power market platform:

21
Slide : 1 Testing the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach Testing the reliability of FERC’s Testing the reliability of FERC’s Wholesale Power Market Platform: Wholesale Power Market Platform: An Agent-Based Computational Economics Approach An Agent-Based Computational Economics Approach Leigh Tesfatsion Professor of Economics and Mathematics, ISU and Deddy Koesrindartoto Ph.D. Economics Candidate, ISU in association with Dr. Achla Marathe -- Los Alamos National Lab (Work in Progress) Testing the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach

Upload: teagan-gamble

Post on 30-Dec-2015

15 views

Category:

Documents


2 download

DESCRIPTION

Testing the reliability of FERC’s Wholesale Power Market Platform: An Agent-Based Computational Economics Approach Leigh Tesfatsion Professor of Economics and Mathematics, ISU and Deddy Koesrindartoto Ph.D. Economics Candidate, ISU in association with - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 1

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Testing the reliability of FERC’s Wholesale Power Testing the reliability of FERC’s Wholesale Power Market Platform:Market Platform:

An Agent-Based Computational Economics ApproachAn Agent-Based Computational Economics Approach

Leigh Tesfatsion

Professor of Economics and Mathematics, ISU and

Deddy Koesrindartoto Ph.D. Economics Candidate, ISU

in association with

Dr. Achla Marathe -- Los Alamos National Lab

(Work in Progress)

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Page 2: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 2

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Key Issues for Key Issues for Wholesale Power Markets Wholesale Power Markets

• Short-Run: Efficient production of electricity from existing generation capacity

• Short-Run: Efficient transmission of electricity to existing load-serving entities

• Longer-Run: Efficient planning and investment for new generation and new transmission capacity

Page 3: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 3

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Wholesale Power Market Platform -- WPMP Wholesale Power Market Platform -- WPMP (FERC(FERC, White Paper, April 2003), White Paper, April 2003)

• Customer-based competitive wholesale power markets providing reliable service

• Fair and open access to the transmission grid at reasonable prices

• Good price signals to encourage appropriate investment in new generation and new transmission

• Market power mitigation

WPMP Objectives

Page 4: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 4

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Key WPMP FeaturesKey WPMP Features

Independent operation of the transmission system by RTO/ISO

Day-ahead electricity market (financial contracts)

Real-time electricity market to supplement longer-term contracts

Ancillary services (e.g., reserves adequacy,…)

Congestion management, preferably through Locational Marginal Pricing (LMP) and financial transmission rights

Market monitoring and market power mitigation

Page 5: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 5

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

FERC’s Basic WPMP Proposal Adopted?FERC’s Basic WPMP Proposal Adopted?

• Mid-Atlantic states (PJM) implement similar plan (1998)• New York (NY-ISO) implements similar plan (1999)• New England (NE-ISO) implements similar plan (2003)• California (CAISO) files to adopt similar plan (2003)

• Midwest (MISO) files to adopt similar plan (7/2003) and withdraws filing (10/2003)

• Opposition from states in Southeast and Northwest

Page 6: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 6

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Economic Electricity Research Economic Electricity Research (www.econ.iastate.edu/ tesfatsi/epres.htm)(www.econ.iastate.edu/ tesfatsi/epres.htm)

• Analytical/Empirical:

– Berkeley (Borenstein, Bushnell, Oren,…); Cambridge (Green, Newbery,…); EPRI (Chao, Peck,…); Harvard (Hogan,…); MIT (Joskow,…); U of Oslo (Halseth, von der Fehr,…); Stanford (Wilson, Wolak,…); ...

• Human-Subject Experiments:

– Cornell (Mount,…); George Mason U (Rassenti, Smith, Wilson,…); …

Page 7: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 7

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

DOE’s Quantitative Assessment of WPMP DOE’s Quantitative Assessment of WPMP (DOE/S-0138, 4/03)(DOE/S-0138, 4/03)

• GE’s Multi-Area Production Simulation (MAPS) Model: Transmission issues on a short-run regional basis

• DOE’s Policy Office Electricity Modeling System (POEMS) Model: Mid-term and longer-run projections of usage of generation infrastructure

Page 8: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 8

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Key Aspects of DOE’s Key Aspects of DOE’s Quantitative AssessmentQuantitative Assessment

• Comparison of Non-WPMP case (projected continuation of existing conditions) to WPMP case (seamless U.S. implementation assumed)

• Many cautions about model limitations (e.g., equilibrium assumed, no strategic bidding, demand held constant across tested cases…)

• Estimated average long-run net consumer cost savings (2016-2020) = $225Million/Year (regional variability)

Page 9: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 9

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Potential Contributions of Agent-Based Potential Contributions of Agent-Based Computational Economics (ACE) ApproachComputational Economics (ACE) Approach

• Key market participants (generators, load-serving entities, ISO,…) modeled as autonomous interacting agents

• Agent learning can be calibrated to data (empirical, human-subject experimental)

• Behaviors and interaction networks evolve over time

• Easier to include and test detailed structural market features for individual and/or joint effects

Page 10: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 10

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

ACE Electricity Research: ACE Electricity Research:

( www.econ.iastate.edu/ tesfatsi/aelect.htm )( www.econ.iastate.edu/ tesfatsi/aelect.htm )

– Argonne National Lab (Macal, North,…)

– CSIRO-Australia (Batten,…)

– Helsinki University (Hamalainen,…)

– Iowa State University (Sheble, Tesfatsion,…)

– London Business School (Bunn, Day,…)

– Los Alamos National Lab (Barrett, Marathe,…)

– Pacific Northwest National Lab (Roop,…)

– Others (see website above)

Page 11: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 11

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Our ACE Wholesale Power Market ModelOur ACE Wholesale Power Market Model

• Based on Standard Market Design (SMD) implemented by New England (ISO-NE) on March 1, 2003

• SMD meets basic WPMP structural requirements:

- Independent System Operator (ISO)- Day-ahead and real-time electricity markets - Congestion managed via LMP- Financial transmission rights- Planned reserve/capacity markets and enhanced demand response

Page 12: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 12

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Initial Core Model Initial Core Model

Multi-settlement process Day-ahead electricity market Real-time electricity market Supply re-offer period

AC transmission grid Congestion managed via LMP 5-bus demo model (scalable to a more complex grid)

ISO roles Assessment of systems reliability Optimal power flow calculation Settlement procedures

Traders Sellers and Buyers Follow market rules Learning abilities

Page 13: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 13

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

5-Bus Demo Model5-Bus Demo Model

A

B

C

E

D

Generator

LSE

Transmission Line

Bus

Page 14: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 14

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

ACE WPM Model: Class Hierarchy

Traders

Buyers

Sellers

Generators

Load Servin

g Entitie

s

ISO

ReliabilityOPFSettlement

Supply Re-

offers

Real- Time

Day- Ahead

Markets

FTR

Bilateral

World

Transmission Grid

Page 15: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 15

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

ISO Market Operation (Day D)

00:00

10:00

12:00

16:00

18:00

20:00

23:00

Real-Time(Spot)

Market for D

Day-AheadMarketfor D+1

Supply Re-Offers for D+1

ISO evaluates demand bids and supply offers

ISO produces D+1 dispatch schedule for generators and LSEs

Page 16: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 16

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

ACE WPM Model: Activity Flow

End

D+1 Supply Re-OffersH=18

Real Time MarketReal Time Market

D+1 Day Ahead MarketH=12

FTR MarketFTR Market

Start

Initialization

Daily Loop

Monthly Loop

Hourly Loop

Page 17: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 17

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Measures of Market Performance (Economic Reliability)

• Market Efficiency: the ratio of actual profits to maximum possible profits for buyers and sellers

• Market Power: the ability to profitably alter prices away from competitive levels

Page 18: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 18

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Market Performance: Key Considerations

• Learning Effects: “Sellers intend to make as much money as possible and will use all available strategies to achieve this goal.”

(Frank Wolak, Senate Hearing, 5/15/03)

• Role of Demand Responsiveness: “The symmetrical nature of the double auction (electricity market)…appears to prevent either buyers or sellers from successfully learning to gain market power advantages through strategic pricing.”

(Nicolaisen,Petrov,Tesfatsion, IEEE-TEC, 2001)

Page 19: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 19

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Market Performance: Key Considerations …

• Importance of FTR Design for LR Management of Congestion:

“We can make all the reliability standards in the world (but they won’t do much good) if we don’t have people willing to invest in transmission and other technologies.”

(Pat Wood III, FERC Chair, Senate Hearing, 9/10/03)

Page 20: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 20

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Initial Experimental Design: Initial Experimental Design: Treatment Factor RangesTreatment Factor Ranges

• Simple reinforcement learning Learning to learn

• Passive demand Active demand bidding

• No transmission rights Point-to-point financial

transmission rights

Page 21: Testing the reliability of FERC’s Wholesale Power Market Platform:

Slide : 21

Testing the Reliability of FERC's Wholesale Power Market Platform:

An Agent-Based Computational Economics Approach

Longer-Run Research PlansLonger-Run Research Plans

• Collaboration with Los Alamos National Lab energy researchers (Dr. Achla Marathe,…)

• Objectives:

– To scale up ACE wholesale power market model to more realistic dimensions

– To incorporate ACE wholesale power market model into the LANL Marketecture Model for U.S. Energy Infrastructure