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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Syahirah Abd Halim
Universiti Kebangsaan Malaysia

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Economic-emission load dispatch for power system operation using enhanced sunflower optimization Hazwani Mohd Rosli; Syahirah Abd Halim; Lilik Jamilatul Awalin; Seri Mastura Mustaza
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 1: July 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i1.pp1-10

Abstract

Conventional thermal power plant uses limited sources of gas, fuel or coal which contributes to the rise of air pollution. Thus, it is crucial to efficiently use the natural sources and minimize the emissions of greenhouse gases and other pollutants. This paper presents an optimal economic dispatch considering three factors which are cost of generation, loss of power transmission and amount of emission for an efficient operation of power generation. Enhanced sunflower optimization (ESFO) algorithm is applied to determine the solution for three different cases: economic load dispatch, emission load dispatch and economic-emission load dispatch. The optimal solution based on the minimum generation cost and emission is obtained for the IEEE 6-unit test system using MATLAB software
Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression Lilik Jamilatul Awalin; Syahirah Abd Halim; Nor Azuana Ramli; Jafferi Bin Jamaludin; Mohd Syukri Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 2: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i2.pp780-792

Abstract

The wide area monitoring system (WAMS) records and monitors every fault or disturbance that occurs in a power system network using phasor measuring units (PMUs). Extensive monitoring of the condition of the electrical power system can ensure the sustainability of reliable energy. The accuracy of the PMUs placement can be determined using the least square support vector regression (LS-SVR) technique. The primary goal of this study is to assess the level of accuracy of the PMUs placement using mean square error (MSE). First, the IEEE-14 bus system equipped with PMUs was built in Matlab software using Simulink. The MSE of the PMUs was then calculated using the LS-SVR. The results revealed that the lower the MSE, the better the PMUs placement. It was also observed that placing the PMUs on bus 2, bus 6, and bus 9 produced the lowest value of MSE.
Co-Authors Awalin, Lilik Jamilatul Hazwani Mohd Rosli Jafferi Bin Jamaludin Mohd Syukri Ali Nor Azuana Ramli Seri Mastura Mustaza