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Literature Review: Electricity Pricing

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Brown-outs = Too little power to meet demand. FIRST THEORY: FORWARD PRICING ... Back-up energy to avoid brown-outs. Leading American Expert: Dr. William Hogan ... – PowerPoint PPT presentation

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Title: Literature Review: Electricity Pricing


1
Literature Review Electricity Pricing
  • ECON 539
  • 3/11/2009
  • Presented by Paul Aljets

2
Background
  • Electricity markets are Different
  • Must have a steady flow.
  • Electricity cannot be easily stored.
  • Prices are extremely volatile.
  • Power grid must be constantly watched.
  • Overloads (Blackouts) Too much power in the
    grid.
  • Brown-outs Too little power to meet demand.

3
First Theory Forward PricingVehvilainen, Ilvo
(2001).Basics of Electricity Derivative pricing
in Competitive Markets. Applied Mathematical
Finance. 9, 45-60.
  • Dr. Ilvo Velvehilainen
  • Professor in Fortum, Finland.
  • Forward Pricing
  • Observing the changes in a country and regressing
    predicted future prices for the next time period.
  • Dr. V. says the model needs more variables.
  • Adds variables for seasonal demand and for
    wholesale contracts.

4
First Paper Analysis
  • No data presented.
  • So, cant replicate or test robustness.
  • Written for people already knowledgeable in the
    topic.
  • No consideration for regional price differences.
  • No obvious agenda.
  • Widely accepted model theory in Europe.

5
Second Paper Mean reverting Jump
DiffusionCartea, Alvaro, Figueroa, Marcelo G.
(2005). Pricing in Electricity Markets a Mean
Reverting Jump Diffusion Model with Seasonality.
Applied Mathmatical Finance. 12-4, 313-335.
  • By Alvaro Cartea and Marcelo Figueroa.
  • Professors at Birkbeck College, London.
  • Originally from Chile.
  • One of the first countries to privatize
    electrcity.
  • Model accounts from time on a business cycle,
    month and weekly basis.
  • Model accounts for Regional Differences.
  • Demand in London is different than demand in
    Wales.
  • MOST IMPORTANT Control for freak jumps in
    demand.

6
Second Paper Analysis
  • Lots of Data!
  • If I cared, I could replicate the data.
  • More accurate than forward pricing.
  • Total lack of self-evaluation and consideration
    for further research.

7
Third Theory Nodal Bid-based PricingHogan,
William W. (2008). Electricity Market Structure
and Infrastructure. Conference on Acting in Time
on Energy Policy.
  • Nodal Pricing
  • Different prices at every power node.
  • Based on contract bidding.
  • Spinning Reserves.
  • Back-up energy to avoid brown-outs.
  • Leading American Expert Dr. William Hogan
  • Professor at Harvard.
  • Free-market advocate.
  • His paper make recommendations for Federal Energy
    regulatory Commission.
  • More regional regulation.
  • Increase information transparency.

8
Third Paper Analysis
  • Completely Qualitative.
  • No data.
  • FERC was his audience.
  • Very accessible.
  • All American papers seem to have less data
    emphasis.
  • Takes most of the credit.
  • The coauthors are placed in a footnote.

9
Conclusions on the Literature
  • Forward Pricing/ Mean reverting Jump Diffusion.
  • Requires lots of data to calculate price.
  • More prone to brown-outs.
  • Tend to underestimate.
  • Nodal Pricing
  • Bid based, making it easy to price.
  • Chaotic, Confusing
  • Prone to black-outs.
  • Questions?????????
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