Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi
Hidayat, Taufal
Unknown Affiliation
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm Budiman, Firmansyah Nur; Hidayat, Taufal; Uswarman, Rudi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1290

Abstract

Optimal power flow (OPF) is a critical optimization application in power system planning and operation. Numerous studies employ metaheuristic techniques to address OPF problems of varying complexity. However, these techniques often suffer from slow convergence due to their dependence on the quality of initial solutions. To overcome this limitation, initial solutions must be optimally tuned to achieve good outcomes with faster convergence. This paper proposes an optimally tuned pattern search (OPS) algorithm to solve OPF problems in medium and large power systems. The tuning process, performed using the classical interior point method (IPM), provides optimal initial control variable values for the standard pattern search (PS) algorithm. The proposed technique is applied to three test systems: IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus systems. The OPF problem is formulated to minimize four objectives: total active power loss, total generator fuel cost, total generator emission, and total deviation in load bus voltage magnitude. The performance of the OPS algorithm is evaluated based on objective function values and computation times and is compared with IPM and two popular metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA). Results indicate that the OPS algorithm's performance varies across test systems but generally balances optimization performance with computational efficiency.
Simulation of Fuzzy Logic Controller for Improving the Efficiency of PV Systems Using MATLAB arman, Muhammad Risky; Amalia, Sitti; Hidayat, Taufal; Bandri, Sepannur
Jurnal Ilmiah Telsinas Vol 8 No 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/telsinas.v8i2.6817

Abstract

Solar Power Plants (SPP) are one of the main solutions in the utilisation of renewable energy. However, their efficiency is often hampered by the variability of solar radiation and ambient temperature. To overcome this, Maximum Power Point Tracking (MPPT) technology is required so that solar panels always operate at the maximum power point (MPP). This study develops a Mamdani fuzzy logic-based MPPT system using MATLAB Simulink on a 10 WP PLTS prototype. The fuzzy algorithm is designed with two inputs, namely power and voltage, and one output in the form of a PWM signal to regulate energy conversion efficiency. Five test scenarios were conducted with different input combinations to compare the results of MATLAB simulations and manual calculations using the centroid weighted average method. The results show that the difference between simulation and manual calculations ranges from 1 to 11 PWM units (average <5%), with output classification remaining consistent in the Low, Medium, and High categories. This demonstrates that the Mamdani fuzzy manual method is valid and reliable as an adaptive control solution for PLTS systems. This implementation is expected to significantly improve energy conversion efficiency and support the achievement of national clean energy targets.
Co-Authors arman, Muhammad Risky Firmansyah Nur Budiman, Firmansyah Nur Rudi Uswarman Sepannur Bandri