Renewable energy inclusion on economic power optimization using thunderstorm algorithm

A. N. Afandi, Goro Fujita, Nguyen Phuc Khai, Yunis Sulistyorini, Nedim Tutkun

研究成果: Article

抄録

This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.

元の言語English
ページ(範囲)377-382
ページ数6
ジャーナルInternational Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
4
DOI
出版物ステータスPublished - 2017 9 1

Fingerprint

Thunderstorms
Economics
Costs

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems
  • Electrical and Electronic Engineering

これを引用

Renewable energy inclusion on economic power optimization using thunderstorm algorithm. / Afandi, A. N.; Fujita, Goro; Khai, Nguyen Phuc; Sulistyorini, Yunis; Tutkun, Nedim.

:: International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 巻 4, 01.09.2017, p. 377-382.

研究成果: Article

@article{68b6e54f0c784cd69bb03941d3da6866,
title = "Renewable energy inclusion on economic power optimization using thunderstorm algorithm",
abstract = "This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.",
keywords = "Economic operation, Pollutant emission, Renewable energy, Thunderstorm algorithm",
author = "Afandi, {A. N.} and Goro Fujita and Khai, {Nguyen Phuc} and Yunis Sulistyorini and Nedim Tutkun",
year = "2017",
month = "9",
day = "1",
doi = "10.11591/eecsi.4.984",
language = "English",
volume = "4",
pages = "377--382",
journal = "International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)",
issn = "2407-439X",

}

TY - JOUR

T1 - Renewable energy inclusion on economic power optimization using thunderstorm algorithm

AU - Afandi, A. N.

AU - Fujita, Goro

AU - Khai, Nguyen Phuc

AU - Sulistyorini, Yunis

AU - Tutkun, Nedim

PY - 2017/9/1

Y1 - 2017/9/1

N2 - This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.

AB - This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.

KW - Economic operation

KW - Pollutant emission

KW - Renewable energy

KW - Thunderstorm algorithm

UR - http://www.scopus.com/inward/record.url?scp=85044849777&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044849777&partnerID=8YFLogxK

U2 - 10.11591/eecsi.4.984

DO - 10.11591/eecsi.4.984

M3 - Article

AN - SCOPUS:85044849777

VL - 4

SP - 377

EP - 382

JO - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

JF - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

SN - 2407-439X

ER -