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A Fuzzy Bilevel Model and a PSO-Based Algorithm for Day-Ahead Electricity Market Strategy Making

  • Guangquan Zhang
  • Guoli Zhang
  • Ya Gao
  • Jie Lu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5712)

Abstract

This paper applies bilevel optimization techniques and fuzzy set theory to model and support bidding strategy making in electricity markets. By analyzing the strategic bidding behavior of generating companies, we build up a fuzzy bilevel optimization model for day-ahead electricity market strategy making. In this model, each generating company chooses the bids to maximize the individual profit. A market operator solves an optimization problem based on the minimization purchase electricity fare to determine the output power for each unit and uniform marginal price. Then, a particle swarm optimization (PSO)-based algorithm is developed for solving problems defined by this model.

Keywords

nonlinear bilevel optimization fuzzy set electricity market strategic bidding particle swarm algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Guangquan Zhang
    • 1
  • Guoli Zhang
    • 2
  • Ya Gao
    • 1
  • Jie Lu
    • 1
  1. 1.Faculty of Engineering & Information TechnologyUniversity of TechnologySydneyAustralia
  2. 2.Department of Mathematics and PhysicsNorth China Electric Power University, BaodingHebeiP.R. China

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