Published December 2011 | Version v1
Journal article

Evaluating alternative offering strategies for wind producers in a pool

  • 1. Department of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood (Iran, Islamic Republic of)
  • 2. Institute of Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 305, 2800 Kgs. Lyngby (Denmark)
  • 3. Department of Electrical Engineering, Univ. of Castilla-La Mancha, Campus Universitario, 13071 Ciudad Real (Spain)

Description

Highlights: → Out-of-sample analysis allows comparing diverse offers using real-world data. → Offering the best production forecast is not optimal for a wind producer. → Stochastic programming offers lead to maximum expected profit. → Offering the best production forecast is not generally optimal for risk control. → Stochastic programming offers lead to the best tradeoff profit versus risk. -- Abstract: As wind power technology matures and reaches break-even cost, wind producers find it increasingly attractive to participate in pool markets instead of being paid feed-in tariffs. The key issue is then how a wind producer should offer in the pool markets to achieve maximum profit while controlling the variability of such profit. This paper compares two families of offering strategies based, respectively, on a naive use of wind production forecasts and on stochastic programming models. These strategies are compared through a comprehensive out-of-sample chronological analysis based on real-world data. A number of relevant conclusions are then duly drawn.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apenergy.2011.06.038

Additional details

Identifiers

DOI
10.1016/j.apenergy.2011.06.038;
PII
S0306-2619(11)00427-2;

Publishing Information

Journal Title
Applied Energy
Journal Volume
88
Journal Issue
12
Journal Page Range
p. 4918-4926
ISSN
0306-2619
CODEN
APENDX

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45018321
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
AUGMENTATION; COMPARATIVE EVALUATIONS; CONTROL; COST; EARTH PLANET; GLOBAL ASPECTS; HAZARDS; LEAD; MARKET; PONDS; PROGRAMMING; STOCHASTIC PROCESSES; TARIFFS; WIND; WIND POWER
Descriptors DEC
ELEMENTS; ENERGY SOURCES; EVALUATION; METALS; PLANETS; POWER; RENEWABLE ENERGY SOURCES; SURFACE WATERS

Optional Information

Copyright
Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.