OPTIMAL REACTIVE POWER DISPATCH IN POWER NETWORKS UTILIZING A COMBINED METHOD OF AVERAGE FUZZY CLUSTERING ALGORITHM AND OPPOSITION-BASED GRAVITATIONAL SEARCH ALGORITHM

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SHOKATI POURSANI A.; DEHESTANI KOLAGAR A.; RABBANIFAR P.

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2018 | Volume:8 | Issue:4 Page(s): 71-87

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Title

OPTIMAL REACTIVE POWER DISPATCH IN POWER NETWORKS UTILIZING A COMBINED METHOD OF AVERAGE FUZZY CLUSTERING ALGORITHM AND OPPOSITION-BASED GRAVITATIONAL SEARCH ALGORITHM

Author(s)

SHOKATI POURSANI A. | DEHESTANI KOLAGAR A. | RABBANIFAR P. | Issue Writer Certificate

Keywords

OPTIMAL REACTIVE POWER DISPATCHQ1

GRAVITATIONAL SEARCH ALGORITHMQ2

OPPOSITIONBASED LEARNINGQ1

COMBINED METHOD OF AVERAGE FUZZY CLUSTERING ALGORITHM AND OPPOSITIONBASED GRAVITATIONAL SEARCH ALGORITHMQ1

Abstract

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.

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APA: Copy

SHOKATI POURSANI, A., DEHESTANI KOLAGAR, A., & RABBANIFAR, P.. (2018). OPTIMAL REACTIVE POWER DISPATCH IN POWER NETWORKS UTILIZING A COMBINED METHOD OF AVERAGE FUZZY CLUSTERING ALGORITHM AND OPPOSITION-BASED GRAVITATIONAL SEARCH ALGORITHM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 8(4 ), 71-87. SID. https://sid.ir/paper/203085/en

Vancouver: Copy

SHOKATI POURSANI A., DEHESTANI KOLAGAR A., RABBANIFAR P.. OPTIMAL REACTIVE POWER DISPATCH IN POWER NETWORKS UTILIZING A COMBINED METHOD OF AVERAGE FUZZY CLUSTERING ALGORITHM AND OPPOSITION-BASED GRAVITATIONAL SEARCH ALGORITHM. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2018;8(4 ):71-87. Available from: https://sid.ir/paper/203085/en

IEEE: Copy

A. SHOKATI POURSANI, A. DEHESTANI KOLAGAR, and P. RABBANIFAR, “OPTIMAL REACTIVE POWER DISPATCH IN POWER NETWORKS UTILIZING A COMBINED METHOD OF AVERAGE FUZZY CLUSTERING ALGORITHM AND OPPOSITION-BASED GRAVITATIONAL SEARCH ALGORITHM,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 8, no. 4 , pp. 71–87, 2018, [Online]. Available: https://sid.ir/paper/203085/en

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