Thermal unit scheduling for CO2 reduction including wind power and electric vehicles

Daiki Yamashita, Ryuichi Yokoyama, Takahide Niimura

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this paper, we present a method to determine unit commitment schedules, while considering CO2 emissions and costs along with the frequency regulation capability of the units, in order tomitigate fluctuations in wind power. We developed an extended procedure that obtains a trade-off solution of cost versus CO2 emissions, including a significant wind power penetration, and developed Plug-in Electric Vehicles (PEVs) as additional reserves. The proposed method was tested on a 10-unit, 24-hour model system using the estimated wind power curve derived from an actual wind farm. The results, such as shadow prices of CO2 obtained using the trade-off analysis, may provide a basis of evaluating the equivalent cost of wind farms and PEVs, and their contributions to CO2 reduction.

Original languageEnglish
Pages (from-to)109-115
Number of pages7
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Issue number1
Publication statusPublished - 2013 Jan


  • Frequency regulation
  • Plug-in electric vehicle
  • Trade-off analysis
  • Unit commitment
  • Wind power

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction


Dive into the research topics of 'Thermal unit scheduling for CO2 reduction including wind power and electric vehicles'. Together they form a unique fingerprint.

Cite this