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Optimal DSTATCOM placement in radial distribution system using fuzzy-ANFIS


Affiliations
1 Assistant Professor, Department of EEE, NBKRIST, SPSR Nellore - 524413, Andra Pradesh, India
2 Director, Department of EEE, NBKRIST, SPSR Nellore - 524413, Andra Pradesh, India
3 Professor, Department of EEE, JNTUH, Hyderabad - 500085, Telangana State, India
     

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Paper aim is to obtain voltage control with optimal DSTATCOM placement to decrease the total cost of voltage regulators and losses. This algorithm makes the initial selection, installations and buckboost setting of the DSTATCOM which provides a smooth voltage profile along the network. It is also used to obtain the minimum number of the initially selected DSTACOM, by moving them in such way as to control the network voltage at the minimum possible cost. Software using MATLABTM has been developed and implemented using back track algorithm, fuzzy logic and ANFIS (Artificial Neuro Fuzzy Inference system) results are compared.

Keywords

Optimum placement, Dstatcom , fuzzy, ANFIS
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  • Optimal DSTATCOM placement in radial distribution system using fuzzy-ANFIS

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Authors

U. Ramesh Babu
Assistant Professor, Department of EEE, NBKRIST, SPSR Nellore - 524413, Andra Pradesh, India
V. Vijay Kumar Reddy
Director, Department of EEE, NBKRIST, SPSR Nellore - 524413, Andra Pradesh, India
S. Tarakalani
Professor, Department of EEE, JNTUH, Hyderabad - 500085, Telangana State, India

Abstract


Paper aim is to obtain voltage control with optimal DSTATCOM placement to decrease the total cost of voltage regulators and losses. This algorithm makes the initial selection, installations and buckboost setting of the DSTATCOM which provides a smooth voltage profile along the network. It is also used to obtain the minimum number of the initially selected DSTACOM, by moving them in such way as to control the network voltage at the minimum possible cost. Software using MATLABTM has been developed and implemented using back track algorithm, fuzzy logic and ANFIS (Artificial Neuro Fuzzy Inference system) results are compared.

Keywords


Optimum placement, Dstatcom , fuzzy, ANFIS



DOI: https://doi.org/10.33686/prj.v11i2.189426