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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Seyed Mohsen Mousavi Khormandichali
Islamic Azad University
Computer Science & IT Electrical & Electronics Engineering

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Optimal placement of wind generation units in order to increase revenues and reduce the imposed costs in the distribution system considering uncertainty Seyed Mohsen Mousavi Khormandichali; Mehrdad Ahmadi Kamarposhti
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 6: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.95 KB)

Abstract

Recent advances in the field of new energies such as wind turbines, solar power plants, fuel cells, micro-turbines, etc., and also the great benefits of these power plants for the power network, attract the attention of distribution companies towards them. As, today, many distribution companies are examining options for changing the distribution network structure in order to exploit new energies. In the meantime, wind energy is one of the most widely used types of distributed generation in the power network. In addition, wind power generation has the most changes to other types of renewable energy. Distribution network planning is one of the major concerns of system designers, especially when wind generation units by their random and variable nature are in system development. Since the proper placement of wind units in the network plays an essential role in improving the performance of the distribution network, providing a comprehensive and appropriate solution for placement of these units in the network is important. In this paper, a method has been presented that by considering the uncertainty in generation and consumption and the network constraints, the placement of wind units in the network is done with the aim of increasing revenues and reducing the imposed costs in the distribution system, taking into account the uncertainity. The algorithm used in this paper is a genetic algorithm with improved operators.
Locating and sizing of capacitor banks and multiple DGs in distribution system to improve reliability indexes and reduce loss using ABC algorithm Mehrdad Ahmadi Kamarposhti; Seyed Mohsen Mousavi Khormandichali; Ahmed Amin Ahmed Solyman
Bulletin of Electrical Engineering and Informatics Vol 10, No 2: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i2.2641

Abstract

DG sources have been introduced as one of the most widely used and effective methods among various methods providing losses reduction in power systems. In this paper, the artificial bee colony algorithm has been employed with the aim of determining location and capacity of distributed generations (DGs) and capacitor banks (CBs) in distribution systems. The proposed objective function includes power losses and ENS reliability index, which is used by deploying weight coefficients as objective function in the algorithms. Accordingly, the standard 37-bus networks have been used for studies. The simulation results demonstrate that the artificial bee colony algorithm is more effective in all sections and has higher capability in reducing losses and improving reliability as well.
Co-Authors Ahmed Amin Ahmed Solyman Mehrdad Ahmadi Kamarposhti