DocumentCode :
1448961
Title :
Bringing Wind Energy to Market
Author :
Bitar, E.Y. ; Rajagopal, Ram ; Khargonekar, Pramod P. ; Poolla, K. ; Varaiya, Pravin
Author_Institution :
Dept. of Mech. Eng., Univ. of California at Berkeley, Berkeley, CA, USA
Volume :
27
Issue :
3
fYear :
2012
Firstpage :
1225
Lastpage :
1235
Abstract :
Wind energy is a rapidly growing source of renewable energy generation. However, the current extra-market approach to its assimilation into the electric grid will not scale at deep penetration levels. In this paper, we investigate how an independent wind power producer might optimally offer its variable power into a competitive electricity market for energy. Starting with a stochastic model for wind power production and a model for a perfectly competitive two-settlement market, we derive explicit formulae for optimal contract offerings and the corresponding optimal expected profit. As wind is an inherently variable source of energy, we explore the sensitivity of optimal expected profit to uncertainty in the underlying wind process. We also examine the role of forecast information and recourse markets in this setting. We quantify the role of reserves in increasing reliability of offered contracts and obtain analytical expressions for marginal profits resulting from investments in improved forecasting and local auxiliary generation. The formulae make explicit the relationship between price signals and the value of such firming strategies.
Keywords :
load forecasting; power generation economics; power generation reliability; power grids; power markets; renewable energy sources; stochastic processes; wind power plants; contract reliability; deep penetration level; electric grid; electricity market; extra-market approach; forecast information; independent wind power production; local auxiliary generation; marginal profit; optimal contract offering; optimal expected profit; renewable energy generation; stochastic model; wind energy; Contracts; Production; Schedules; Uncertainty; Wind energy; Wind forecasting; Wind power generation; Electricity markets; smart grid; wind energy;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2012.2183395
Filename :
6152190
Link To Document :
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