Renewable energy inclusion on economic power optimization using thunderstorm algorithm

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

2017 International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Vol. 4 Conference paper Cited by 1 SDG 7SDG 17 Quartile

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. © 2018, Institute of Advanced Engineering and Science. All rights reserved.

Affiliations

Electrical Engineering Department, Universitas Negeri Malang, Malang, Jawa Timur, Indonesia; Electrical Engineering and Computer Science, Shibaura Institute of Technology, Tokyo, Japan; Department of Math, IKIP Budi Utomo, Malang, Indonesia; Electrical Engineering Department, Duzce University, Duzce, Turkey

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