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All Journal Journal of Robotics and Control (JRC) International Journal of Robotics and Control Systems
Yaser Ebazadeh
Department of Computer Engineering, Germi Branch, Islamic Azad University, Germi, Iran
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Investigating and Optimizing the Operation of Microgrids with Intelligent Algorithms Ahmed Kadhim Hado; Bashar S. Bashar; Musaddak Maher Abdul Zahra; Reza Alayi; Yaser Ebazadeh; Iswanto Suwarno
Journal of Robotics and Control (JRC) Vol 3, No 3 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i3.14772

Abstract

Microgrids need optimization to reduce economic problems and human losses. Scattered resources in power systems and microgrids have led to many environmental, economic and human, and animal losses. The most important part of these problems is related to voltage and frequency fluctuations when possible occurrences such as extreme load changes or errors in microgrids. These problems lead to microgrid collapse. Therefore, providing optimal solutions that can solve these challenges is essential. For this purpose, the present study has tried to provide a high-performance control structure in the time of internal and external disturbances based on short-term planning. The proposed approach is the use of an evolutionary neuro-fuzzy network. Perhaps the main reason for using this approach can be due to uncertainty in the distribution and distribution of loads in microgrids and power systems. Simulation has been performed in MATLAB and Simulink environments, and the results show that the optimal load distribution has been done evolution in microgrids.
Technical and Economic Evaluation and Optimization of an Off-Grid Wind/Hydropower Hybrid System Reza Alayi; Yaser Ebazadeh; Hossein Monfared; Salamollah Mohammadi-Aykar; Laveet Kumar; Alfian Ma’arif; Eskandar Jamali
International Journal of Robotics and Control Systems Vol 3, No 3 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i3.996

Abstract

Owing to global population growth, more fossil fuels are being used to meet the energy demand, which has led to increases in environmental pollution. Therefore, alternative sources such as renewable energy can be employed to meet some of the needs. Renewable energy has been criticized for its related problems such as downtime and high investment costs. In this study, a system was proposed to address these two problems by integrating wind and hydropower turbines, in Khalkhal, Ardabil, Iran as a case study. To appraise the system, an economic model was generalized, and an Ant Colony Optimization (ACO) method aiming to reduce investment costs was, implemented. The results show that to cover 100% of the required energy demand with a hybrid system of wind and hydropower turbines, the total cost of this system will be $ 202138. Also, the Cost of Energy (COE) per unit of generated power with the hydropower system, wind, and battery storage is gauged at 0.261 $/kWh. For the case study, to supply the required energy demand, 10 wind turbines and 23 kVA batteries, as well as a 14.6 kW hydropower turbine are required.
Co-Authors Ahmed Kadhim Hado Alfian Ma’arif Bashar S. Bashar Eskandar Jamali Hossein Monfared Iswanto Suwarno Laveet Kumar Musaddak Maher Abdul Zahra Reza Alayi Reza Alayi Salamollah Mohammadi-Aykar