Power Research

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

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
     

   Subscribe/Renew Journal


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
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 253

PDF Views: 0




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

Abstract Views: 253  |  PDF Views: 0

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