An Unambiguous Distance-Based MIQP Model to Solve Economic Dispatch Problems with Disjoint Operating Zones

Mahdi Pourakbari-Kasmaei, Marcos J. Rider, Jose Roberto S Mantovani

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)

Abstract

This letter presents an unambiguous distance-based mixed-integer quadratic programming (UDB-MIQP) model to solve economic dispatch problems with disjoint operating zones. By considering the distances among the prohibited zones, the unnecessary variables will be eliminated and, consequently, a significant decrease, both in terms of variables and constraints, is obtained. The results show that the UDB model compared to existing MIQP models in the literature can achieve the global optimal solution with a significantly reduced problem complexity, both in terms of variables and constraints. In addition, the results indicate the superiority of the method in computational time reduction.

Original languageEnglish
Article number7027240
Pages (from-to)825-826
Number of pages2
JournalIEEE Transactions on Power Systems
Volume31
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Distance based method
  • economic dispatch
  • mixed integer quadratic programming (MIQP)
  • prohibited operating zone

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