Renewable Energy Inclusion on Economic Power Optimization using Thunderstorm Algorithm

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Date

2017

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Publisher

Ieee

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info:eu-repo/semantics/closedAccess

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.

Description

4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) -- SEP 19-21, 2017 -- Univ Ahmad Dahlan, Yogyakarta, INDONESIA
WOS: 000427670800069

Keywords

economic operation, pollutant emission, renewable energy, thunderstorm algorithm

Journal or Series

2017 4Th International Conference On Electrical Engineering, Computer Science And Informatics (Eecsi)

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N/A

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