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A Non-Parametric Structural Hybrid Modeling Approach for Electricity Prices

Somayeh Moazeni (somayeh***at***princeton.edu)
Michael Coulon (M.Coulon***at***sussex.ac.uk)
Ismael Arciniegas Rueda (Ismael.ArciniegasRueda***at***pseg.com)
Boyang Song (boyangs***at***princeton.edu)
Warren B. Powell (powell***at***princeton.edu)

Abstract: We develop a stochastic model of zonal/regional electricity prices, designed to reflect information in fuel forward curves and aggregated capacity and load as well as zonal or regional price spreads. We use a nonparametric model of the supply stack that captures heat rates and fuel prices for all generators in the market operator territory, combined with an adjustment term to approximate congestion and other zone-specific behavior. The approach requires minimal calibration effort, is readily adaptable to changing market conditions and regulations, and retains sufficient tractability for the purpose of forward price calibration. The model is illustrated for the spot and forward electricity prices of the PS zone in the PJM market, and the set of time-dependent risk premiums are inferred and analyzed.

Keywords: Electricity market; Electricity price modeling; Energy trading; Supply stack

Category 1: Applications -- OR and Management Sciences (Finance and Economics )

Category 2: Stochastic Programming

Category 3: Optimization Software and Modeling Systems

Citation:

Download: [PDF]

Entry Submitted: 06/30/2014
Entry Accepted: 06/30/2014
Entry Last Modified: 07/14/2015

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