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
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