Renewable energy inclusion on economic power optimization using thunderstorm algorithm

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

doi:10.11591/eecsi.4.984

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 journal › Article › peer-review

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 language	English
Pages (from-to)	377-382
Number of pages	6
Journal	International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
Volume	4
DOIs	https://doi.org/10.11591/eecsi.4.984
Publication status	Published - 2017 Sept

Keywords

Economic operation
Pollutant emission
Renewable energy
Thunderstorm algorithm

ASJC Scopus subject areas

Computer Science (miscellaneous)
Information Systems
Electrical and Electronic Engineering

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10.11591/eecsi.4.984

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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.",

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AU - Afandi, A. N.

AU - Fujita, Goro

AU - Khai, Nguyen Phuc

AU - Sulistyorini, Yunis

AU - Tutkun, Nedim

PY - 2017/9

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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

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ER -

Renewable energy inclusion on economic power optimization using thunderstorm algorithm

Abstract

Keywords

ASJC Scopus subject areas

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