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Organization Organization

Organization - PowerPoint Presentation

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Organization - PPT Presentation

of Electricity Markets Daniel Kirschen Differences between electricity and other commodities Electricity is inextricably linked with a physical delivery system Physical delivery system operates much faster than any market ID: 433751

2011 kirschen washington university kirschen 2011 university washington market trading spot bids price pool bilateral electricity load unit borduria

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Slide1

Organization of Electricity Markets

Daniel

KirschenSlide2

Differences between electricity and other commodities

Electricity is inextricably linked with a physical delivery system

Physical delivery system operates much faster than any market

Generation and load must be balanced at all timesFailure to balance leads to collapse of systemEconomic consequences of collapse are enormousBalance must be maintained at almost any costPhysical balance cannot be left to a market

© 2011 D. Kirschen and the University of Washington

2Slide3

Differences between electricity and other commodities

Electricity produced by different generators is pooled

Generator cannot direct its production to some consumers

Consumer cannot choose which generator produces its loadElectrical energy produced by all generators is indistinguishablePooling is economically desirable

A breakdown of the system affects everybody

© 2011 D. Kirschen and the University of Washington

3Slide4

Differences between electricity and other commodities

Demand for electricity exhibits predictable daily, weekly and seasonal variations

Similar to other commodities (e.g. coffee)

Electricity cannot be stored in large quantitiesMust be consumed when it is producedProduction facilities must be able to meet peak demandVery low price elasticity of the demand in the short runDemand curve is almost vertical

© 2011 D. Kirschen and the University of Washington

4Slide5

Balancing supply and demand

Demand side:

Fluctuations in the needs

Errors in forecastSupply side:Disruption in the productionSpot market:Provides an easy way of bridging the gap between supply and demandSpot market is used for adjustmentsSpot market is the market of last resort

© 2011 D. Kirschen and the University of Washington

5Slide6

Spot market for electrical energy

Demand side:

Errors in load forecast

Supply side: Unpredicted generator outagesGaps between load and generation must be filled quickly

Market mechanismsToo slow

Too expensive

Need fast communication

Need to reach lots of participants

© 2011 D. Kirschen and the University of Washington

6Slide7

“Managed” spot market

Balance load and generation

Run by the system

operator to maintain the security of the systemMust operate on a sound economic basisUse competitive bids for generation adjustmentsShould ideally accept demand-side bids

Determine a cost-reflective spot priceNot a true market because price is not set through interactions of buyers and sellers

Indispensable for treating electricity as a commodity

© 2011 D. Kirschen and the University of Washington

7Slide8

“Managed” spot market

© 2011 D. Kirschen and the University of Washington

8

Managed Spot Market

Bids to

increase

production

Bids to

increase

load

Bids to

decrease

production

Bids to

decrease

load

Generation

surplus

Generation

deficit

Load

surplus

Load

deficit

System operator

Control

actions

Spot

priceSlide9

“Managed” spot market

Also

known

as:Reserve marketBalancing mechanismAs technology and confidence continue to improve, the frequency of these markets keeps increasing1 day to 1 hour to 5 minutes

© 2011 D. Kirschen and the University of Washington

9Slide10

Other markets

Well-functioning spot market is essential

Ensures that imbalances will be settled properly

Makes the development of other markets possibleMost participants want more certainty because the spot price is volatileTrade

ahead of the spot market on forward markets to reduce risks

Forward markets must close before the managed spot market

© 2011 D. Kirschen and the University of Washington

10Slide11

Forward markets

Two approaches:

Centralized

trading – Pool tradingDecentralized trading - Bilateral trading© 2011 D. Kirschen and the University of Washington

11Slide12

Pool trading

All producers submit

bids to the market operator

All consumers submit offers to the market operatorMarket operator determines successful bids and offers and the market priceIn many electricity pools, the demand side is passive. A forecast of demand is used instead.

© 2011 D. Kirschen and the University of Washington

12Slide13

Example of pool trading

Bids and offers in the Electricity Pool of Syldavia for the period from 9:00 till 10:00 on 11 June:

© 2011 D. Kirschen and the University of Washington

13Slide14

Example of pool trading

© 2011 D. Kirschen and the University of Washington

14Slide15

Example of pool trading

© 2011 D. Kirschen and the University of Washington

15

Quantity traded

Market price

Accepted offers

Accepted bidsSlide16

Example of pool trading

Market price: 16.00 $/MWh

Volume traded: 450 MWh

© 2011 D. Kirschen and the University of Washington

16Slide17

Unit commitment-based pool trading

Reasons for not treating each market period separately:

Operating constraints on generating units

Minimum up and down times, ramp ratesSavings achieved through schedulingStart-up and no-load costsReduce risk for generatorsUncertainty on generation schedule leads to higher prices© 2011 D. Kirschen and the University of Washington

17Slide18

Pool Trading using Unit Commitment

© 2011 D. Kirschen and the University of Washington

18

Unit

Commitment

Program

Minimum

Cost

Schedule

Load

Forecast

Generators

Bids

Market

PricesSlide19

Generator Bids

All units are bid separately

Components:

piecewise linear marginal price curvestart-up priceparameters (min MW, max MW, min up, min down,...)Bids do not have to reflect costsBidding very low to “get in the schedule”

is allowed© 2011 D. Kirschen and the University of Washington

19Slide20

Load Forecast

Load is usually treated as a passive market participant

Assume that there is no demand response to prices

© 2011 D. Kirschen and the University of Washington20

MW

TimeSlide21

Generation Schedule

© 2011 D. Kirschen and the University of Washington

21

MW

TimeSlide22

Marginal Units

© 2011 D. Kirschen and the University of Washington

22

MW

Time

Most expensive unit needed to meet the load at each periodSlide23

Market price

Bid from marginal unit sets the market clearing price at each period

System Marginal Price (SMP)

All energy traded through the pool during that period is bought and sold at that price© 2011 D. Kirschen and the University of Washington

23

MW

TimeSlide24

Why trade all energy at the SMP?

Why not pay the generators what they bid?

Cheaper generators would not want to

“leave money on the table”Would try to guess the SMP and bid close to itOccasional mistakes  get left out of the scheduleIncreased uncertainty

 increase in price

© 2011 D. Kirschen and the University of Washington

24Slide25

Bilateral trading

Bilateral

trading is the classical form of trading

Involves only two parties:SellerBuyerTrading is a private arrangement between these partiesPrice and quantity negotiated directly between these partiesNobody else is involved in the decision

© 2011 D. Kirschen and the University of Washington

25Slide26

Bilateral trading

Unlike pool trading, there is no “official price”

Occasionally facilitated by brokers or electronic market operators

Takes different forms depending on the time scale© 2011 D. Kirschen and the University of Washington26Slide27

Types of bilateral trading

Customized

long-term contracts

Flexible termsNegotiated between the partiesDuration of several months to several yearsAdvantage: Guarantees a fixed price over a long period

Disadvantages:Cost of negotiations is highWorthwhile only for large amounts of energy

© 2011 D. Kirschen and the University of Washington

27Slide28

Types of bilateral trading

“Over the Counter” trading

Smaller amounts of energy

Delivery according to standardized profilesAdvantage:Much lower transaction costUsed to refine position as delivery time approaches© 2011 D. Kirschen and the University of Washington

28Slide29

Types of bilateral trading

Electronic trading

Buyers and sellers enter bids directly into

computerized marketplaceAll participants can observe the prices and quantities offeredAutomatic matching of bids and offersParticipants remain anonymousMarket operator handles the settlement

Advantages:Very fastVery cheapGood source of information about the market

© 2011 D. Kirschen and the University of Washington

29Slide30

Example of bilateral trading

Generating units owned by Borduria Power:

© 2011 D. Kirschen and the University of Washington

30Slide31

Example of bilateral trading

Trades of

Borduria

Power for 11 June from 2:00 pm till 3:00 pm© 2011 D. Kirschen and the University of Washington

31

Net position: Sold 570 MW

Production capacity: 750 MWSlide32

Example of bilateral trading

Pending offers and bids on Borduria Power Exchange at mid-morning on 11 June for the period from 2:00 till 3:00 pm:

© 2011 D. Kirschen and the University of Washington

32Slide33

Example of bilateral trading

Electronic trades made by Borduria Power:

© 2011 D. Kirschen and the University of Washington

33

Net position: Sold 630 MW

Self schedule: Unit A: 500 MW

Unit B: 130 MW

Unit C: 0 MW Slide34

Example of bilateral trading

Unexpected problem: unit B can only generate 80 MW

Options:

- Do nothing and pay the spot price for the missing energy - Make up the deficit with unit C

- Trade on the power exchange

© 2011 D. Kirschen and the University of Washington

34

Buying is cheaper than producing with C

New net position: Sold 580 MW

New schedule: A: 500 MW, B: 80 MW, C: 0 MWSlide35

Pool vs. bilateral trading

Pool

Unusual because administered centrally

Price not transparentFacilitates security functionMakes possible central optimizationHistorical origins in electricity industry

BilateralEconomically purer

Price set by the parties

Hard bargaining possible

Generator assume scheduling risk

Must be coordinated with security function

More opportunities to innovate

© 2011 D. Kirschen and the University of Washington

35

Both forms of trading can coexist to a certain extent

Slide36

Bidding in managed spot market

Borduria Power’s position:

© 2011 D. Kirschen and the University of Washington

36

Borduria Power’s spot market bids:

Spot market assumed imperfectly competitive

Bids/offers can be higher/lower than marginal costSlide37

Settlement process

Pool trading:

Market operator collects from consumers

Market operator pays producersAll energy traded at the pool priceBilateral trading:Bilateral trades settled directly by the parties as if they had been performed exactlyManaged spot market:Produced more or consumed less 

receive spot price

Produced less or consumed more

pay spot price

© 2011 D. Kirschen and the University of Washington

37Slide38

Example of settlement

11 June between 2:00 pm and 3:00 pm

Spot price: 18.25 $/MWh

Unit B of Borduria Power could produce only 10 MWh instead of 80 MWhBorduria Power thus had a deficit of 70 MWh for this hour40 MW of Borduria

Power’s spot market bid of 50 MW at 17.50 $/MWh was called by the operator

© 2011 D. Kirschen and the University of Washington

38Slide39

Borduria Power’s Settlement

© 2011 D. Kirschen and the University of Washington

39