Renewable energy inclusion on economic power optimization using thunderstorm algorithm

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

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)377-382
Number of pages6
JournalInternational Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
Volume4
DOIs
Publication statusPublished - 2017 Sep 1

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Thunderstorms
Economics
Costs

Keywords

  • Economic operation
  • Pollutant emission
  • Renewable energy
  • Thunderstorm algorithm

ASJC Scopus subject areas

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

Cite this

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

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

Research output: Contribution to journalArticle

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