Strategic Generation Investment Under Uncertainty Via Benders Decomposition

Jalal Kazempour, Antonio J. Conejo

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

We address the generation investment problem faced by a strategic power producer and consider a detailed description of the uncertain parameters involved, namely, rival producer investment and market offering, and demand growth. To identify optimal investment decisions, we consider a target year and propose a bilevel model whose upper-level problem determines investment and offering decisions to maximize expected profit, and whose many lower-level problems represent market clearing conditions per demand block and scenario. Since the producer total expected profit is sufficiently convex with respect to investment decisions, a Benders' decomposition approach is proposed that results in a tractable formulation even if hundred of scenarios are used to describe uncertain parameters. Extensive numerical simulations based on realistic case studies show the good performance of the proposed decomposition approach.
Original languageEnglish
JournalIEEE Transactions on Power Systems
Volume27
Issue number1
Pages (from-to)424-432
Number of pages9
ISSN0885-8950
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Benders' decomposition
  • generation investment
  • mathematical programs with equilibrium constraints (MPEC)
  • strategic producer
  • uncertainty
  • Benders decomposition
  • Bilevel
  • Decomposition approach
  • Demand growth
  • Expected profits
  • Generation investment
  • Investment decisions
  • Market clearing
  • Mathematical programs with equilibrium constraints
  • Optimal investment decision
  • Power producer
  • Uncertain parameters
  • Profitability
  • Uncertainty analysis
  • Investments
  • power markets
  • investment
  • numerical analysis
  • power generation economics
  • numerical simulations
  • strategic generation investment problem
  • strategic power producer
  • producer investment
  • market offering
  • upper-level problem
  • lower-level problems
  • Bender decomposition approach
  • tractable formulation
  • Uncertainty
  • Computational modeling
  • Sensitivity
  • Mathematical model
  • Indexes
  • Optimization
  • ENGINEERING,
  • ELECTRICITY
  • MARKETS
  • Generating stations and plants
  • Power system management, operation and economics
  • Other numerical methods

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