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December 4, 2000 © 2000 Fernando L. Alvarado 1 Reliability concepts and market power Fernando L. Alvarado Professor, The University of Wisconsin Invited Seminar at the U. S. Department of Energy December 4, 2000

December 4, 2000© 2000 Fernando L. Alvarado1 Reliability concepts and market power Fernando L. Alvarado Professor, The University of Wisconsin Invited

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December 4, 2000 © 2000 Fernando L. Alvarado 1

Reliability concepts and market power

Fernando L. AlvaradoProfessor, The University of Wisconsin 

Invited Seminar at the U. S. Department of EnergyDecember 4, 2000

December 4, 2000 © 2000 Fernando L. Alvarado 2

Outline

• Reliability basics overview

• Some market power issues

December 4, 2000 © 2000 Fernando L. Alvarado 3

Basics overview (assumptions)

• Exactly two technologies– Each technology has a known price

• No market power

• Inelastic demand

• Reliability event occurs when demand exceeds supply

December 4, 2000 © 2000 Fernando L. Alvarado 4

Quantity (power)

Pri

ce

Dem

and

(ine

last

ic)

Available supply

Clearingprice

Maximumavailable

power

Deterministic Demand and Supply, low demand case

December 4, 2000 © 2000 Fernando L. Alvarado 5

Quantity (power)

Pri

ce

Dem

and

(ine

last

ic)

Available supply

Clearingprice

Maximumavailable

power

Deterministic Demand and Supply, high demand case

December 4, 2000 © 2000 Fernando L. Alvarado 6

Probabilistic Demand, high demand case

Outageprobability

Probability of low prices

December 4, 2000 © 2000 Fernando L. Alvarado 7

The piece-wise nature of the supply curve

Gen

erat

or 1

Gen

erat

or 2

Gen

erat

or 3

Gen

erat

or 4 G

ener

ator

5

Gen

erat

or 6

December 4, 2000 © 2000 Fernando L. Alvarado 8

The effect of a generator outage

Outagedgenerator

Oldsupply

limit

Newsupplylimit

December 4, 2000 © 2000 Fernando L. Alvarado 9

Effect of demand uncertainty and generator outage

n-1 secure

insecure

Probabilityp2

Outage probability is p1*p2

Probability p1

December 4, 2000 © 2000 Fernando L. Alvarado 10

System B

System A

Gen

erat

or 1

A

Gen

erat

or 2

A

Gen

erat

or 3

A

Gen

erat

or 4

A

Gen

erat

or 5

A

Gen

erat

or 6

A

Gen

erat

or 1

B

Gen

erat

or 2

B

Gen

erat

or 3

B

Gen

erat

or 4

B

Gen

erat

or 5

B

High pricen-1 insecureLow price

Secure

December 4, 2000 © 2000 Fernando L. Alvarado 11

System B

System AHigh pricen-1 secureLow price

n-1 secure

December 4, 2000 © 2000 Fernando L. Alvarado 12

System B

System ALow pricen-1 secureLow price

n-1 secure

Flow

December 4, 2000 © 2000 Fernando L. Alvarado 13

Temptation: construct a composite supply curve

+

Low pricen-1 secure

unnecessary

December 4, 2000 © 2000 Fernando L. Alvarado 14

Flow

Normal conditions

System B

System ALow pricen-1 insecureLow price

n-1 secure

Situation with line transmission limits

Maxflow

Maxflow

Outagedgenerator

Unableto clear

December 4, 2000 © 2000 Fernando L. Alvarado 15

System B

System AFlow

Maxflow

Use of distributed reserves

Low pricen-1 secureLow price

n-1 secure

December 4, 2000 © 2000 Fernando L. Alvarado 16

Features of the example

• Only two areas (one flowgate)

• Radial

• Demand is inelastic

• Time delays are not an issue

• Generators have no startup/shutdown costs or restrictions or minimum power levels

December 4, 2000 © 2000 Fernando L. Alvarado 17

Observations

• Demand elasticity is important• Locational aspects of reserves matter

– LMP for reserves

• Ramping rates matter• In deregulated markets only units explicitly

committed to reserves are available– In regulated markets and in PJM all units are

• Reliability requires that we increase supply– Standby charges tend to reduce supply (Tim Mount)

December 4, 2000 © 2000 Fernando L. Alvarado 18

Reality

• Many flowgates• Networked sysyem• Demand can be elastic• Time delays important• Generators have fixed

costs and restrictions• Load is uncertain

• Transmission outages exacerbate problems

• If one firm dominates a technology, market power occurs (next)

• If one firm dominates a location, market power results

December 4, 2000 © 2000 Fernando L. Alvarado 19

Market Power?

• The ability to raise prices significantly above the efficient economic equilibrium

• Disclaimer: the slides that follow are not really a market power study but rather they represent a simplified illustration of how higher prices could result as a result of market concentration.

December 4, 2000 © 2000 Fernando L. Alvarado 20

Market Power: Assumptions

• There are exactly two technologies– Each technology has a fixed marginal price availability of the expensive technology– Limited availability of the cheap technology– Cheap technology has fixed costs to recover

• Demand is inelastic– First deterministic, then probabilistic

• All suppliers but a schedule all their cheap power• Supplier a owns P MW in n1 equal-sized generators

– Supplier a can “withhold” one or more generators– Bidding above marginal cost is not allowed, withholding isBidding above marginal cost is not allowed, withholding is

December 4, 2000 © 2000 Fernando L. Alvarado 21

The piece-wise nature of the supply curve revisited

Oth

er s

uppl

iers

Sup

plie

r a

gene

rato

r 1

Dem

and

Clearingprice

If generators bid marginal price,the generators surplus is zero

Sup

plie

r a

gene

rato

r 2

December 4, 2000 © 2000 Fernando L. Alvarado 22

Red generator decides to withhold one generator

Withheldgenerator

Clearingprice

Sur

plus

for

red

supp

lier

Red supplier nowhas large surplus

Of course blue supplierhas even LARGER surplus!

Sur

plus

for

blue

sup

plie

r

December 4, 2000 © 2000 Fernando L. Alvarado 23

If margins are increased

Clearingprice

Now it is not possible for redsupplier to withhold and gain

Raising priceswould requirecollusion

Question: and how are theexpensive technology units

supposed to recover theirfixed costs if they always

clear at their marginal cost?

Answer: you may endup with less capacitythan you thought

December 4, 2000 © 2000 Fernando L. Alvarado 24

If demand is uncertain

The expected surplusgain is: p*(2-1)*P1

Probability p thatwithholding willresult in surplus

2

P1

price 1

Quantity (power)

Pri

ce

Since 1 is cheap unit’s marginalcost, there is no expected surplus loss

December 4, 2000 © 2000 Fernando L. Alvarado 25

Additional observations

• If the margin to the “knee” is Pm, any supplier with a total ownership above Pm may profit from withholding– If more than one supplier meets this conditions,

chances are that someone will withhold

December 4, 2000 © 2000 Fernando L. Alvarado 26

For two generators, surplusis P*(2-1)/2 for demandabove this level

Effect of “granularity”

With only onegenerator, it isimpossible towithhold andbenefit P

Surplus is P*(2-1) fordemand above this level

December 4, 2000 © 2000 Fernando L. Alvarado 27

Effect of “granularity,” three generator case

Surplus is P*(2-1)/3 fordemand above this level

Surplus is 2P*(2-1)/3 fordemand above this level

December 4, 2000 © 2000 Fernando L. Alvarado 28

Effect of “granularity”

Sur

plus

With n=1, there is no surplus

Surplus with n=2

Surplus with n=3

Surplus with n=4

Surplus with n

Demand level

December 4, 2000 © 2000 Fernando L. Alvarado 29

Observations and assumptions

• For “worst case” effect, assume n=• Assume withholding will occur

– Withholding “softens” the supply curve

• High cost periods needed for fixed cost recovery• Demand is probabilistic• Suggestion: market power occurs if expected

surplus exceeds fixed cost recovery– This is also a signal for system expansion

• This means that in the absence of uncertainty, expansion will occur when expected profits exceed long run marginal costs

December 4, 2000 © 2000 Fernando L. Alvarado 30

Effect of number of suppliers on supply curve

One supplier

2 su

pplie

rs3

supp

liers

10 s

uppl

iers

Demand

Pri

ce

December 4, 2000 © 2000 Fernando L. Alvarado 31

Pri

ce

Demand

Period during whichfixed cost recoverycan take place

Effect of demand uncertainty on fixed cost recovery

Withholding increases the period duringwhich surplus accrues but reduces theamount that accrues

December 4, 2000 © 2000 Fernando L. Alvarado 32

Pri

ce

Demand

Period during whichfixed cost recoverycan take place

The effect of demand uncertainty on fixed cost recovery

December 4, 2000 © 2000 Fernando L. Alvarado 33

Numerical studies

• Demand is 60/70/80/90/95% of “knee”

• for demand varies from 0 to 20%

• Demand probability distribution is normal

• Supplier has equal size units available

• There are 3/6/10/15/ suppliers

We illustrate the fixed costs that can be recoveredfor each of the case combinations above accordingto our earlier withholding assumptions

December 4, 2000 © 2000 Fernando L. Alvarado 34

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.20

50

100

150

200

250

80%

Variance of demand (per unit)

Fixed cost recovery without market power ( suppliers)

Tho

usan

ds p

er y

ear

per

MW

90%

95%

99% Demand level as a percentageof available capacity

December 4, 2000 © 2000 Fernando L. Alvarado 35

0 2 4 6 8 10 12 14 16 18 200

20

40

60

80

100

120

140

160

180

200

Demand Variance (percent)

Fix

ed

co

st r

eco

very

(th

ou

san

ds

per

MW

-yea

r)

suppliers, demand level as a parameter

60%70%80%90%95%

Even for highdemand levels, somedemand varianceis essential forcost recovery

December 4, 2000 © 2000 Fernando L. Alvarado 36

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

Demand Variance (percent)

Fix

ed

co

st r

eco

very

(th

ou

san

ds

per

MW

-yea

r)

15 suppliers, demand level as a parameter

60%70%80%90%95%

For high enough demand levelscost recovery is possibleeven without demand variance

December 4, 2000 © 2000 Fernando L. Alvarado 37

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

300

Demand Variance (percent)

Fix

ed

co

st r

eco

very

(th

ou

san

ds

per

MW

-yea

r)

10 suppliers, demand level as a parameter

60%70%80%90%95%

For high demand levelsdemand variance can becomeirrelevant

December 4, 2000 © 2000 Fernando L. Alvarado 38

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

300

350

400

Demand Variance (percent)

Fix

ed

co

st r

eco

very

(th

ou

san

ds

per

MW

-yea

r)

6 suppliers, demand level as a parameter

60%70%80%90%95%

For low demand levels it isvery difficult to recoverfixed costs

December 4, 2000 © 2000 Fernando L. Alvarado 39

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

300

350

400

450

Demand Variance (percent)

Fix

ed

co

st r

eco

very

(th

ou

san

ds

per

MW

-yea

r)

4 suppliers, demand level as a parameter

60%70%80%90%95%

For high demand levels, high variancecan even be slightly detrimental to profits

December 4, 2000 © 2000 Fernando L. Alvarado 40

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

300

350

400

450

Demand Variance (percent)

Fix

ed

co

st r

eco

very

(th

ou

san

ds

per

MW

-yea

r)

3 suppliers, demand level as a parameter

60%70%80%90%95%

With three or less suppliers, it becomes feasibleat high variances to recover fixed costs bywithholding at low demand

December 4, 2000 © 2000 Fernando L. Alvarado 41

0 2 4 6 8 10 12 14 16 18 200

5

10

15

20

25

30

35

40

45

50

Demand Variance (percent)

Fix

ed

co

st r

eco

very

(th

ou

san

ds

per

MW

-yea

r)

Demand level 60%, number of suppliers as a parameter

suppliers15 suppliers 10 suppliers 6 suppliers 4 suppliers 3 suppliers

At low demand and lowvariance it is impossibleto recover fixed costs

December 4, 2000 © 2000 Fernando L. Alvarado 42

0 2 4 6 8 10 12 14 16 18 200

20

40

60

80

100

120

Demand Variance (percent)

Fix

ed

co

st

rec

ov

ery

(th

ou

sa

nd

s p

er

MW

-ye

ar)

Demand level 70%, number of suppliers as a parameter

suppliers15 suppliers 10 suppliers 6 suppliers 4 suppliers 3 suppliers

At higher demand with 3 suppliersit is possible to recovercosts at low variance

December 4, 2000 © 2000 Fernando L. Alvarado 43

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

Demand Variance (percent)

Fix

ed

co

st

rec

ov

ery

(th

ou

sa

nd

s p

er

MW

-ye

ar)

Demand level 80%, number of suppliers as a parameter

suppliers15 suppliers 10 suppliers 6 suppliers 4 suppliers 3 suppliers

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

300

350

400

Demand Variance (percent)

Fix

ed

co

st

rec

ov

ery

(th

ou

sa

nd

s p

er

MW

-ye

ar)

Demand level 90%, number of suppliers as a parameter

suppliers15 suppliers 10 suppliers 6 suppliers 4 suppliers 3 suppliers

As demand increases, withholding becomesprofitable even when there are many suppliers

December 4, 2000 © 2000 Fernando L. Alvarado 44

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

300

350

400

450

Demand Variance (percent)

Fix

ed

co

st

rec

ov

ery

(th

ou

sa

nd

s p

er

MW

-ye

ar)

Demand level 95%, number of suppliers as a parameter

suppliers15 suppliers 10 suppliers 6 suppliers 4 suppliers 3 suppliers

Only in the caseof infinite suppliers is it

impossible to recover costs

December 4, 2000 © 2000 Fernando L. Alvarado 45

Comments on numeric results• The number of suppliers has a strong influence on cost

recovery– Below a certain number of suppliers, cost recovery by

withholding becomes easier

• There are demand threshold levels beyond which there is a jump in the ability to recover costs

• All studies assume that supplier can adjust level of withholding after learning the demand– Lower returns when this is not true, study underway

• Demand variance has a strong influence on ability to recover costs, sometimes with a threshold level

December 4, 2000 © 2000 Fernando L. Alvarado 46

Final remarks

• Two-technology suppliers can lead to higher than marginal prices as the knee of the supply curve is approached

• Larger number of suppliers reduces this effect• Market power studies should consider fixed

cost recovery issues• We did not even look at congestion or voltage

problems!