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Intelligent Load Frequency Control considering Large Scale Photovoltaic Generation. Awan Uji Krismanto; Herlambang Setiadi
International Journal of Smart Grid and Sustainable Energy Technologies Vol 2 No 1 (2018): IJSGSET
Publisher : Department of Electrical Engineering, Institut Teknologi Nasional Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.711 KB) | DOI: 10.36040/ijsgset.v2i1.220

Abstract

Large-scale renewable energy integration involving large scale PV plant is becoming popular in the last decade due to global warming and climate change. PV plant offers clean and environmentally friendly electricity. However, PV plant also provides unwanted impact in term of frequency stability. Hence appropriate, load frequency control due to the integration of PV plant is inevitable. This paper proposed an intelligent approach based on a differential evolutional algorithm (DEA) to optimize the control parameters of load frequency control (LFC) device. Time domain simulation was carried out to analyses, the frequency nadir of the system. The simulation results suggested that a significant enhancement of system dynamic behavior was monitored when the control parameters of LFC were optimized using the proposed DEA. Moreover, the proposed algorithm provided a promising result to improve system dynamic response in the system with high penetration of PV power plant.
Small Signal Stability Analysis of Two Stage PV Generation Rizki Putra Prastio; Muhammad Aldo Setiawan; Rodik Wahyu Indrawan; Herlambang Setiadi
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 2 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.729 KB) | DOI: 10.20473/jatm.v1i2.40339

Abstract

Integration of photovoltaic (PV) based power plant have been increased significantly over the years. The integration of this devices is ranging on the small-scale capacity such as in distribution system and large-scale capacity such as in transmission system. Although, PV generation could provide sustainable and clean energy to the grid, they could also bring new challenge on the system stability. One of the stabilities of power system that can be affected by integration of this devices is small signal stability. Hence, it is important to capture the dynamic model of PV generation. This paper is on investigation of dynamic model of PV generation for small signal stability analysis. The simulation is carried out in MATLAB/SIMULINK environment. From the simulation results, it is found that by capturing the dynamic model of PV generation, the modes of the PV generation can be captured.
Comparison of PSO, DE and Hybrid DE-PSO for LFC of Wind Power Systems rodik wahyu indrawan; herlambang setiadi; muhammmad Aldo Setiawan; Rizki Putra Prastio
Journal of Advanced Technology and Multidiscipline Vol. 1 No. 2 (2022): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (744.192 KB) | DOI: 10.20473/jatm.v1i2.40451

Abstract

Abstract—This paper investigates the performance of particle swarm optimization (PSO), differential evolution (DE), and hybrid particle swarm optimization- differential evolution (HDEPSO) for solving load frequency control (LFC) problems. Wind power systems LFC model is used to compare the performance of PSO, DE and HPSODE for solving LFC problems. All the simulation are carried out in MATLAB/SIMULINK environment. From the simulation results, it is noticeable that by designing LFC of wind power system using HPSODE, the overshoot and settling time of the wind power system can be reduced and accelerated.
DESAIN OPTIMAL CONTROL UNTUK REGULASI FREKUENSI PADA SISTEM TENAGA LISTRIK DENGAN INERTIA RENDAH Pakpahan, Adrian Jonathan; Herlambang Setiadi
Journal of Advanced Technology and Multidiscipline Vol. 3 No. 1 (2024): Journal of Advanced Technology and Multidiscipline
Publisher : Faculty of Advanced Technology and Multidiscipline Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jatm.v3i1.59984

Abstract

Electricity is a very important element in this era because almost all aspects of modern life depend on electricity. Therefore, electricity plays a very important role in improving people's quality of life and maintaining an efficient and productive life. An efficient and reliable electrical system is essential to ensure adequate electricity availability and maintain system reliability. Therefore, planning, designing and operating electrical systems must be carried out carefully to ensure stability, reliability and efficiency. However, a decrease in frequency in the electrical system sometimes occurs when there is a sudden change in load. This can affect system stability. Therefore, Load Frequency Control (LFC) and Linear Quadratic Regulator (LQR) analysis is needed to maintain the stability of the electrical system frequency. The combination of these two techniques, namely LFC with LQR modeling, provides a better solution for maintaining frequency stability and optimizing electrical system performance. LFC analysis regulates power generation settings automatically to compensate for fluctuations in load demand and maintain a stable frequency, while LQR is a control technique used to minimize system errors and optimize system performance. Therefore, LFC with LQR results in system performance increasing very significantly with a faster response, undershoot that can be reduced to 0.001 and a better settling time of 300s in area-1 and 450s in area-2 and rise time reaching 270s in area-1 and 405s in area-2 as well as the use of LQR can maintain the system frequency at its nominal limit and the presence of New Renewable Energy (EBT) has an effect in the form of a greater undershoot level than without EBT.
Design of Bidirectional DC-DC Converter for Photovoltaic Charging System Muhammad Farhan Rizky; Syahril Mubarok, Muhammad; Herlambang Setiadi; Nur Vidia Laksmi B.
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 3 (2024): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i3.35685

Abstract

This paper proposes a bidirectional DC-DC converter designed for photovoltaic charging systems. The converter aims to efficiently charge batteries while maintaining stable DC voltage and current output. It can convert DC power from solar panels to charge the battery and deliver DC power from the battery to the connected DC bus. The control method for the converter utilizes PI control to achieve a constant output current and voltage. The simulations were conducted using MATLAB/Simulink software, optimizing the converter’s topology, parameters, and controls according to the requirements of the PV charging system. Simulations validated the converter’s performance under various conditions, including input power fluctuations caused by changes in sunlight intensity. The results demonstrate that the bidirectional DC-DC converter effectively operates in charging and discharging modes, maintaining a stable 24V voltage in the DC bus and providing optimal charging performance for the battery.