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

Daiki Yamashita, Ryuichi Yokoyama, Takahide Niimura

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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
Volume17
Issue number1
Publication statusPublished - 2013 Jan

Fingerprint

Electric vehicles
Wind power
Scheduling
Farms
Costs
Hot Temperature
Plug-in electric vehicles

Keywords

  • 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

Cite this

Thermal unit scheduling for CO2 reduction including wind power and electric vehicles. / Yamashita, Daiki; Yokoyama, Ryuichi; Niimura, Takahide.

In: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 17, No. 1, 01.2013, p. 109-115.

Research output: Contribution to journalArticle

@article{18e3fd5f2a694ba4baf7048b91636dd7,
title = "Thermal unit scheduling for CO2 reduction including wind power and electric vehicles",
abstract = "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.",
keywords = "Frequency regulation, Plug-in electric vehicle, Trade-off analysis, Unit commitment, Wind power",
author = "Daiki Yamashita and Ryuichi Yokoyama and Takahide Niimura",
year = "2013",
month = "1",
language = "English",
volume = "17",
pages = "109--115",
journal = "Journal of Advanced Computational Intelligence and Intelligent Informatics",
issn = "1343-0130",
publisher = "Fuji Technology Press",
number = "1",

}

TY - JOUR

T1 - Thermal unit scheduling for CO2 reduction including wind power and electric vehicles

AU - Yamashita, Daiki

AU - Yokoyama, Ryuichi

AU - Niimura, Takahide

PY - 2013/1

Y1 - 2013/1

N2 - 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.

AB - 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.

KW - Frequency regulation

KW - Plug-in electric vehicle

KW - Trade-off analysis

KW - Unit commitment

KW - Wind power

UR - http://www.scopus.com/inward/record.url?scp=84879435552&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879435552&partnerID=8YFLogxK

M3 - Article

VL - 17

SP - 109

EP - 115

JO - Journal of Advanced Computational Intelligence and Intelligent Informatics

JF - Journal of Advanced Computational Intelligence and Intelligent Informatics

SN - 1343-0130

IS - 1

ER -