University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 8 4 2018 01 21 Optimal Reactive Power Dispatch in Power Networks utilizing a Combined Method of Average Fuzzy Clustering Algorithm and Opposition-based Gravitational Search Algorithm Optimal Reactive Power Dispatch in Power Networks utilizing a Combined Method of Average Fuzzy Clustering Algorithm and Opposition-based Gravitational Search Algorithm 71 88 22699 10.22108/isee.2018.105449.1060 FA Ashkan Shokati Poursani Dept. of Electrical Engineering, Islamic Azad University West Tehran Branch, Tehran, Iran Arash Dehestani Dept. of Electrical Engineering, Malek-Ashtar University of Technology, Tehran, Iran Payam Rabbanifar Dept. of Electrical Engineering, Islamic Azad University Central Tehran Branch, Tehran, Iran Journal Article 2017 07 18 Reactive power management is essential for transferring real power and supporting power network security. Therefore, it is important to present a correct and possible method for pricing of reactive power in electricity markets. Optimization and reactive power dispatch is performed by solving continuous variables problems (i.e., generator busbars voltages), discrete variables such as transformer tap-changers, and the size of the parallel switching capacitors in power systems.  In this paper, optimization of reactive power dispatch has been performed with combined method of average fuzzy of clustering algorithm and opposition-based gravitational search algorithm. Moreover, in line with the aim of minimizing the power loss, total voltage deviation and improving voltage stability criteria have been carried out. Also, the potential of the proposed method and their effectiveness for solving reactive power dispatch optimization problems in power systems have shown in this study. Optimization results show that the combined method of average fuzzy clustering algorithm and opposition-based gravitational search algorithm have improved parameters such as convergence time, voltage stability criteria, absolute value of total voltage deviation, and the total loss of the transmission lines. Reactive power management is essential for transferring real power and supporting power network security. Therefore, it is important to present a correct and possible method for pricing of reactive power in electricity markets. Optimization and reactive power dispatch is performed by solving continuous variables problems (i.e., generator busbars voltages), discrete variables such as transformer tap-changers, and the size of the parallel switching capacitors in power systems.  In this paper, optimization of reactive power dispatch has been performed with combined method of average fuzzy of clustering algorithm and opposition-based gravitational search algorithm. Moreover, in line with the aim of minimizing the power loss, total voltage deviation and improving voltage stability criteria have been carried out. Also, the potential of the proposed method and their effectiveness for solving reactive power dispatch optimization problems in power systems have shown in this study. Optimization results show that the combined method of average fuzzy clustering algorithm and opposition-based gravitational search algorithm have improved parameters such as convergence time, voltage stability criteria, absolute value of total voltage deviation, and the total loss of the transmission lines. https://isee.ui.ac.ir/article_22699_28835d347b84a367e738d77905cc6878.pdf