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A Systematic Review of Optimal Power Flow Studies with Renewable Energy Sources Penetration Maulana, Ricky; Syafii, Syafii
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 68 No 1 (2024): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v68i1.357

Abstract

The increasing penetration Renewable Energy Source (RES) in electrical power grid, the power system must minimize costs and comply with operational and safety requirements. Optimal power flow (OPF) contributes to this objective by determining the optimal control settings, satisfying system and safety constraints, and enhancing operational efficiency. A systematic review was conducted to assess how OPF studies have been evaluated in the literature. The review analyzed 64 journal articles to identify specific OPF studies from three perspectives: type of RES penetration, objective function, and method of OPF. The results indicate that (a) wind turbines are the most commonly used RES model in OPF studies, (b) cost function is the primary objective that the majority of research has considered, and (c) novel meta-heuristics have often been used in OPF methods under uncertain RES penetration. This systematic review identifies research gaps and topics for further research to study OPF with RES penetration. The findings are expected to benefit researchers in deciding the best OPF method under uncertain RES.
Thrust Roller Control in Kiln using PLC and HMI KUSUMA, ARI; Sardi, Juli; Habibullah; Ricky Maulana
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/05hv5c13

Abstract

The thrust roller control and monitoring system is very important in the cement production process, especially in the cement processing process that occurs in the Kiln equipment. At PT. Semen Padang, the thrust roller control and monitoring process using a potentiometer sensor often experiences problems. Based on this, this study aims to develop a solution to the problem of the thrust roller control and monitoring system to make it more accurate. This study was conducted using an experimental method. With this method, the author took some test data on the ultrasonic sensor as a substitute for the potentiometer sensor and then compared the test data with the actual value to determine the level of feasibility and error in the system. The research instrument used in the test was a meter while the object of the study was the thrust roller prototype that had been made. Based on the test results, the thrust roller control and monitoring system has been successfully carried out where the thrust roller movement is displayed in the form of an HMI screen simulation with a small error rate, namely from 20 trials 18 of them were successful while the remaining two experienced errors  
Solar power forecasting using a SARIMA approach for Indonesia's grid integration Ricky Maulana; Syafii Syafii; Aulia Aulia
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i1.pp293-302

Abstract

Indonesia’s transition toward a renewable energy-dominated power grid is progressing to meet increasing energy demands while reducing dependence on fossil fuels. According to the National Energy General Plan, their goal is to have 23% of the energy mix come from renewables by 2025 and 31% by 2050. Accurate forecasting of photovoltaic (PV) power output is crucial to address the intermittent nature of solar energy and ensure grid stability. A seasonal autoregressive integrated moving average (SARIMA) model was developed to estimate day-ahead photovoltaic power output in Padang City, Indonesia. Using NASA solar irradiance data from March 1-31, 2024, the SARIMA(1,0,1)(4,0,3)24 model achieved high accuracy with an NRMSE of 4.19%. To evaluate its performance, a comparative evaluation was conducted between the SARIMA model and two machine learning methods, namely artificial neural network (ANN) and long short-term memory (LSTM), in which SARIMA achieved the lowest forecasting error. These findings indicate that SARIMA remains an effective and interpretable statistical method for short-term PV forecasting, supporting reliable energy planning and power grid operations towards Indonesia's renewable energy goals.
A framework for multi-interval optimal power flow under solar energy penetration Ricky Maulana; Syafii Syafii; Aulia Aulia
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.11091

Abstract

The increasing penetration of renewable energy introduces variability and uncertainty into power system operations, thus requiring accurate forecasting methods to ensure reliable and economical scheduling. This study presents a multi-interval day-ahead optimal power flow (OPF) analysis integrated with photovoltaic (PV) generation, where hourly PV forecasts are obtained using the seasonal autoregressive integrated moving average (SARIMA) (1,0,1)(4,0,3)24 model. The forecast results achieved low error values (root mean square error (RMSE)=0.354, normalized RMSE (NRMSE)=4.192%, mean absolute error (MAE)=0.202), successfully capturing the daily PV generation pattern and providing sufficiently accurate input for the OPF simulation. The forecasted PV profiles were then integrated into a multi-interval OPF framework using the MATPOWER interior point solver (MIPS) solver. Results show that PV integration reduces system operating costs compared to cases without PV, with cost savings observed at various time intervals (e.g., reduction from $802.22/hour to $780.65/hour during PV peak hours). Compared to the conventional single-interval OPF benchmark based on Weibull distribution assumptions for PV, the proposed framework achieves lower average costs ($790.97/hour vs. $869.70/hour) while also reflecting the real variability of solar dynamics and load. Overall, the integrated forecasting-optimization framework demonstrates that SARIMA-based PV forecasting provides reliable inputs for OPF and offers a practical tool to support future system planning and operation with higher renewable energy penetration.
Community-Based Implementation of a Waterwheel-Based Micro-Hydro Power System through Civil Water Intake Construction in Rural Agam, Indonesia Faisal Ashar; Yaumal Arbi; Ricky Maulana; Risma Apdeni
CIVED Vol. 12 No. 3 (2025): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/a2qnzq58

Abstract

This article reports on a community service program to implement a waterwheel-based micro-hydro power system by constructing a civil water intake in Nagari Kamang Hilia, Agam Regency, West Sumatra. The program aimed to provide renewable electricity for rice milling and community street lighting, while strengthening local capacity for operations and maintenance. The implementation consisted of stakeholder coordination, field surveys, drone-based mapping, preparation of Detailed Engineering Design, civil intake construction, electrical integration, commissioning, and community training. The constructed components included an intake structure, a guide channel, a sluice gate, a trash rack, inlet and outlet channels, and a waterwheel chamber. These components were designed to regulate water flow, minimize disturbance from sediment and debris, and support stable waterwheel operation under low-head conditions. Field measurements indicated an average flow velocity of approximately 2 m/s, supporting an initial system capacity of about 5 kW. The system provides renewable electricity for productive use and street lighting, reducing dependence on costly diesel fuel and improving local energy resilience. The training activities also improved community knowledge of intake cleaning, sediment control, waterwheel inspection, and basic electrical safety. The program demonstrates that integrating civil engineering infrastructure, renewable energy technologies, and community participation can serve as a practical model for sustainable rural development.