Electricity pool prices: long-term uncertainty characterization for futures-market trading and risk management

Organized trading for electricity includes both the pool and the futures market. Pool prices are volatile while the prices of the futures-market products are comparatively more stable. Thus, futures-market products constitute hedging instruments to reduce the risk suffered by any market agent. Electricity market agents engage in both pool and futures market transactions seeking to maximize their respective profits/utilities for a given risk level on profit variability. To make informed decisions, the market agent must gather as much accurate information as possible on the pool prices covering the whole time horizon spanned by the futures-market product. This paper provides a novel technique to represent conveniently the uncertainty associated with pool prices during long- or medium-term horizons through a set of scenarios, that is, pool price realizations. The proposed technique uses the prices of the futures-market products as long-term explanatory variables and exploits the short-term structure of the pool prices.

[1]  Eduardo S. Schwartz,et al.  Short-Term Variations and Long-Term Dynamics in Commodity Prices , 2000 .

[2]  F. Longstaff,et al.  Electricity Forward Prices: A High-Frequency Empirical Analysis , 2002 .

[3]  Steven C. Hillmer,et al.  Likelihood Function of Stationary Multiple Autoregressive Moving Average Models , 1979 .

[4]  Craig Batty,et al.  Case Study 4 , 2011 .

[5]  Douglas C. Montgomery,et al.  Forecasting and time series analysis , 1976 .

[6]  Lon-Mu Liu,et al.  Joint Estimation of Model Parameters and Outlier Effects in Time Series , 1993 .

[7]  M. Carrion,et al.  Forward Contracting and Selling Price Determination for a Retailer , 2007, IEEE Transactions on Power Systems.

[8]  Víctor M. Guerrero Time‐series analysis supported by power transformations , 1993 .

[9]  John R. Birge,et al.  Introduction to Stochastic programming (2nd edition), Springer verlag, New York , 2011 .

[10]  D. Bunn Modelling prices in competitive electricity markets , 2004 .

[11]  A. Conejo,et al.  Optimal Involvement in Futures Markets of a Power Producer , 2008, IEEE Transactions on Power Systems.

[12]  Eduardo S. Schwartz The stochastic behavior of commodity prices: Implications for valuation and hedging , 1997 .

[13]  Derek W. Bunn,et al.  Forecasting Electricity Prices , 2003 .

[14]  C. L. Anderson,et al.  Development of a Hybrid Model for Electrical Power Spot Prices , 2002, IEEE Power Engineering Review.

[15]  Lon-Mu Liu,et al.  FORECASTING AND TIME SERIES ANALYSIS USING THE SCA STATISTICAL SYSTEM , 1994 .

[16]  A. Conejo,et al.  A Stochastic Programming Approach to Electric Energy Procurement for Large Consumers , 2007, IEEE Transactions on Power Systems.

[17]  John R. Birge,et al.  Introduction to Stochastic Programming , 1997 .