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Overview of Wholesale and Retail Electricity Markets in the U.S. Bernie Neenan, EPRI Theresa Flaim, ERE, LLC Presentation to Center for Nonlinear Studies Los Alamos, New Mexico April 13, 2010

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Page 1: Overview of Wholesale and Retail Electricity Markets in ...cnls.lanl.gov/~chertkov/SmarterGrids/Talks/NeenanFlaim.pdf · Overview of Wholesale and Retail Electricity Markets in the

Overview of Wholesale and Retail Electricity Markets in the U.S.

Bernie Neenan, EPRITheresa Flaim, ERE, LLCPresentation to Center for Nonlinear StudiesLos Alamos, New MexicoApril 13, 2010

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2© 2009 Electric Power Research Institute, Inc. All rights reserved.

Outline

I. Key events, 1990-2010II. Two basic industry structures

A. Regulated MonopolyB. Wholesale/retail competition

III. Key differencesA. Who decides and who bears risk?B. How are retail prices formed?

IV. Interfaces between wholesale and retail marketsA. Original British ideaB. U.S. adaptationC. Today’s diverse marketsD. Tomorrow’s challenges

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3© 2009 Electric Power Research Institute, Inc. All rights reserved.

Electricity Markets – 20 years of evolution

2000 20051995

Northeast Blackout

CA Energy Crisis

1990

FERC issues SMD NOPR

U.S. EPAct emphasizes reliability and renewables

UK electricity deregulation

U.S. EPAct mandates wholesale open access

EU directive to create a single integrated European electricity market

Retail access begins in some U.S. regions

Sources: Sally Hunt, Making Competition Work in Electricity Work, John Wiley & Sons, Inc., New York, NY, 2002; Georg Gebhardt and Felix Hoffler, “How to Determine Whether Regional Markets are Integrated? Theory and Evidence from European Electricity Markets,” Governance and the Efficiency of Economic Systems, University of Munich, Munich, Germany, May 2008.

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4© 2009 Electric Power Research Institute, Inc. All rights reserved.

Structure 1: Regulated Monopoly Model

Generation

Transmission•System Operations•Reliability Coordination

Distribution*

Customers

A. Vertically Integrated Structure

Generation

Transmission•System Operations•Reliability Coordination

Distribution

Customer

Distribution

Customer

Distribution*

Customers

B. Separate Distribution Function

Integrated functions

*Includes retailing and customer service functions.

Power pool/reliability coordination and trading

agreements among member utilities

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5© 2009 Electric Power Research Institute, Inc. All rights reserved.

Observations on the monopoly model

This structure was predominant in the U.S. prior to restructuring efforts which began in the mid-1990s.

Most of the capacity (~75%) in the U.S. was owned by ~200 investor-owned utilities, most of whom were vertically integrated

Most of the utilities (~3000) were small, distribution municipal or cooperatively owned systems, many of whom who bought their generation and transmission services from cooperatively owned generation and transmission (G&T) suppliers.

Reliability and trading agreements between monopolies were common. In the Northeast, there were a number of “tight” power pools which became PJM, NYISO and

NE-ISO. In other regions, there were reliability and trading agreements, but not central dispatch of

utility-owned systems which characterized the tight power pools.

Both versions of the monopoly structure shown are still common in those regions of the U.S. that have not opened their markets to competition.

5

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6© 2009 Electric Power Research Institute, Inc. All rights reserved.

Structure 2: Wholesale & Retail Competition

Customer Customer

Retailer Retailer Retailer

Customer

GeneratorGeneratorGenerator Generator

Wholesale Spot MarketTransmission/System Operations

Customer

Distribution Wires/ Default Supply

Competitive generators can sell output to the spot market, to retailers under bilateral contracts, or directly to retail customers

Monopoly segments remain regulated

Retail customers can choose their supplier

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7© 2009 Electric Power Research Institute, Inc. All rights reserved.

Observations on wholesale and retail competition

This is the model that was pursued by most states in the U.S. who embraced restructuring (such as California, New York, New Jersey, Pennsylvania, Massachusetts, Illinois, Rhode Island, Maine, New Hampshire, Virginia, etc.)

Wholesale competition is more widespread than retail competition, even in states where retail customers can choose

Structured wholesale markets serve 66% of consumers in the United States, and more than 50% of Canada’s population

There are no credible proposals to eliminate existing ISOs/RTOs. In other regions, further restructuring has stalled

Emphasis in bilateral markets is on improving open access There’s no political support to introduce competition Strong support in the Northwest and Southeast for state regulation over

federally mandated organized markets

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8© 2009 Electric Power Research Institute, Inc. All rights reserved.

Organized electricity markets in North America

Ten Independent System Operators (ISOs) and Regional Transmission Organizations (RTOs) serve 66% of consumers in the U.S. and more than 50% of Canada’s population. See the ISO/RTO Council website: www.isorto.org.

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9© 2009 Electric Power Research Institute, Inc. All rights reserved.

Key differences: Who decides and who pays?

Monopoly Model Competitive Model

Who decides:•How much capacity?•What fuel type?•Where to site?

• Regulated utility develops subject to regulatory approval

• G&T Cooperative

• Competitive supplier• Customer• Anyone with the money & inclination

Who builds or acquires supply?

• Utility under rate-base construction• G&T Cooperative

• Same as above• Utility (if default provider)

Who pays?Who bears risk?

• Investor-own Utilities: • Customers pay for prudent

investment• Investors pay for imprudent

investments• G&T Coop – customers pay

• When market prices are low:• Investors absorb costs• Customers benefit

• When market prices are high:• Investors benefit • Customers pay more

9

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10© 2009 Electric Power Research Institute, Inc. All rights reserved.

Key Differences: Market vs. Regulated Pricing

Market Prices Forward-looking, based on marginal cost

Don’t reflect sunk costs

Regulated Prices Based on average, historic costs.

Only reflect marginal costs to the extent they impact the average

Fixed Costs =Depreciation of original investment & maintenance capital, fixed price contracts, financing costs, etc.

RegulatedPrice (¢/kWh)

Fixed Costs

=FuelCosts

O&MCosts++

Energy Sales (kWh)

10

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11© 2009 Electric Power Research Institute, Inc. All rights reserved.

Regulated vs. Market Prices – Mid 1990s

What happens to prices when there is: Regulated monopoly Competitive markets

Excess generating capacity

Declining natural gas costs Depends on capacity mix & fuel contracts

New capacity cheaper than old capacity

or

On the eve of deregulation, average embedded generation costs were 6 ¢/kWh in upstate New York. Average market prices were 2 – 3 ¢/kWh.

11

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12© 2009 Electric Power Research Institute, Inc. All rights reserved.

Regulated vs. Market Prices – 2008

What happens to prices when there is: Regulated monopoly Competitive markets

A shortage of generating capacity

Increasing natural gas costs Depends on capacity & contract mix

New capacity more expensive than old capacity

or

When natural gas prices are $10-15/MMBtu, electricity prices can be in the range of 10-15¢/kWh due to fuel costs alone.

12

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13© 2009 Electric Power Research Institute, Inc. All rights reserved.

Implications for modeling

The particular market structure determines who makes decisions, what costs are incurred, who pays and who bears risk

In both the monopoly and competitive structures, marginal (forward-looking) costs (not historic or sunk costs) will determine real resource savings

13

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14© 2009 Electric Power Research Institute, Inc. All rights reserved.

IV. Interfaces Between Wholesale and Retail Markets

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15© 2009 Electric Power Research Institute, Inc. All rights reserved.

Traditional electricity system operation under a vertically integrated model

Years•System

Planning

Months•Operational

Planning

Day-Ahead•Scheduling

In-day•Dispatch

< 15 minutes•Real-time balancing

Source: USDOE, The Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them, Feb. 2006. 15

RT

Load Forecasting

Unit and Grid Needs and Availability

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16© 2009 Electric Power Research Institute, Inc. All rights reserved.

English GridCo Model

DA Energy

HA EnergyANC

GridCo

RR

RR

LSE

GG

Bi-lateral Energy

Markets

G

Terms: LSE = load serving entity; DA = day ahead; HA = hour ahead; ANC = ancillary; R = retail customer; G = generator.

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17© 2009 Electric Power Research Institute, Inc. All rights reserved.

Electricity market price formation

• All generation bids into pool• Loads are forecasted by pool• Security constrained dispatch

set schedule and price (last price auction)

• Price apply only to spot market transactions

$/MWh

Load

Supply

L1

$/MWh

Load

Supply

L1

LMP1LMP1

Inelastic Demand

L2

LMP1LMP2

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18© 2009 Electric Power Research Institute, Inc. All rights reserved.

GirdCo system interdependencies

Years•System

Planning

Months•Operational

Planning

Day-Ahead•Scheduling

In-day•Dispatch

< 15 minutes•Real-time balancing

18

RT

System and Grid Needs and Availability

Load Forecast

Generators

GridCo

GridCo

LSEs

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19© 2009 Electric Power Research Institute, Inc. All rights reserved.

The U.S. Adaptation

•British experience – Cyclical pattern to locational marginal prices (LMPs) and depth of

bilateral market activity– No investments, excess capacity (dash for gas)

•California calamity

•Capacity requirements and markets added to assuage fears of high prices/price volatility

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20© 2009 Electric Power Research Institute, Inc. All rights reserved.

U.S. Capacity Requirements Model

GridCo

DA Energy

HA EnergyANC

G

Bi-lateral Energy

Markets

Bi-lateral Cap

Markets

Spot

CAP

Mkt

GG

RR

RR

LSE

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21© 2009 Electric Power Research Institute, Inc. All rights reserved.

Electricity Market Savings of Price Response

• Customers facing flat-rate tariff (T) would consume at load L1

• Generators meet this level of demand with electricity at a price of LMP1

• Customers facing market prices see LMP1 and respond by reducing load to L2

• Load demands of L2 causes the market to clear at LMP2 < LMP1

• Assuming 100% of load is bought in market, LSEs save & Generators loseB + C + D + E + F + G + K

• Wealth is transferred from producers to consumers

$/MWh

Load

Supply

Elastic Demand

A

B C DEF

GHI

J K

L1L2

T

LMP2

LMP1

DR

Inelastic Demand

$/MWh

Load

Supply

Elastic Demand

A

B C DEF

GHI

J K

L1L2

T

LMP2

LMP1

DR

Inelastic Demand

3.0

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22© 2009 Electric Power Research Institute, Inc. All rights reserved.

Comparison of Demand Response Impacts

10%

20%

30%

40%

50%

60%

% Im

pact

on

Loa

d

TOU

(Source: Faruqui, April 2008)

CPP

PTR

:

TOU with enabling tech

CPP withenabling tech

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23© 2009 Electric Power Research Institute, Inc. All rights reserved.

Energyefficiency

Years

System planning

Months

Operational planning

Day-ahead

Scheduling

In-day

Dispatch

< 5 min

Systemmanagement

action

Time scale

RT balanced and regulated

system

Dispatchable Demand Response

Capacity Displacement

EnergyBidding

Emer-gency

DLCPTR

Integrating EE and DR into electricity markets

Customer Choice and Control

DA-RTP RTP/CPPTOU

Increased granularity of measurement, speed of telemetry

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24© 2009 Electric Power Research Institute, Inc. All rights reserved.

Demand Response Categorization

Demand-Side

Demand Response

Energy Efficiency

Dispatchable Resource

Customer Choice & Control

Reliability Economic

Capacity

Emergency

Ancillary Services

Energy Bids

DynamicPricing

Fully Hedged

UniformPrice

StepRates

Demand & Energy

Time-of-daySchedule

StreamingPrices

Call Options

DayAhead

RealTime

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25© 2009 Electric Power Research Institute, Inc. All rights reserved.

Added complexity with demand as a resource

GG

Bi-lateral Energy

Markets

GridCo

DA Energy

HA EnergyANC

Bi-lateral Energy

Markets

Spot

CAP

Mkt

RR

RR

LSE

G

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26© 2009 Electric Power Research Institute, Inc. All rights reserved.

EPRI Smart Grid DemonstrationsLeveraging Today’s Technology to Advance the Industry

• Deploying the Virtual Power Plant

• Demonstrate Integration and Interoperability

• Leverage information & Communication Technologies

• Integration of Multiple Types of Distributed Energy Resources (DER):

• Storage• Demand Response

• Renewable Generation• Distributed Generation

• Multiple Levels of Integration - Interoperability

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27© 2009 Electric Power Research Institute, Inc. All rights reserved.

Smart Grid adds even more actors

GG

Bi-lateral Energy

Markets

GridCo

DA Energy

HA EnergyANC

Bi-lateral Energy

Markets

Spot

CAP

Mkt

RR

RR

LSE

G

DG

DG S

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28© 2009 Electric Power Research Institute, Inc. All rights reserved.

Transactional demands - electric devices negotiating for power to provide services

• Households– Most devices are equipped with a chip to accept

state-specific instructions– A central hub

• negotiates among devices• Between home and agents• Among agents and the market • executes price response • Fulfills curtailment instruction

• Businesses– Execute forward position to match supply with

needs– Trade on assets to lower costs

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29© 2009 Electric Power Research Institute, Inc. All rights reserved.

R RR

LSE

RH

D1D2

D5

D5D4

D3

RH

D1D2

D5

D5D4

D3

Brokers Markets

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30© 2009 Electric Power Research Institute, Inc. All rights reserved.

Tomorrow’s electricity markets

• Large number of traders (maybe millions)

• Some with a physical position as suppler and consumer

• Making lots of transactions (several times a minute)

• Over the entire supply time scale (long, years-out to real-time)

• Across the entire network (generator bus to end-use device)

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31© 2009 Electric Power Research Institute, Inc. All rights reserved.

Questions

Bernie Neenan

Technical Executive

EPRI

[email protected]

865.218.8133