An Adaptive Scheme for Optimal Siting of Distributed Generation System in a Distribution Network
Amandeep Gill1, Surendra Kumar Yadav2, Pushpendra Singh3
1Dr. Pushpendra Singh, Associate Professor, Department of Electrical Engineering at JKLU, Jaipur, Rajasthan. India.
2Dr. Surendra Kumar Yadav, Professor, Department of Computer Science and Engineering in JECRC University, Jaipur, Rajasthan. India.
3Amandeep Gill, Assistant Professor at JECRC University, Jaipur, Rajasthan. India.

Manuscript received on 08 April 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1995-2000 | Volume-8 Issue-1, May 2019 | Retrieval Number: A6688058119/19©BEIESP
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Abstract: In this paper an adaptive scheme is proposed for optimal siting of distributed generation (DG) system for the power loss minimization and voltage profile improvement in the existing radial distribution system. The proposed adaptive system is based on Adaptive Neuro Fuzzy Inference System (ANFIS) model, it is utilized for estimating the adequate parameters and The objective of the proposed technique is developed to describe the most advantageous reactive and real power production and utilization requirements for the best possible sizing and locating the nodes to find power loss minimizations and maintaining the voltage profile. The proposed method is implemented using MATLAB/Simulink platform and tested into the IEEE 69 radial distribution system and assessed for voltage variation due to power losses and results are compared with biogeography-based optimization (BBO) methodology.
Index Terms: Reverse Power Flow (RPF), Adaptive Neuro-Fuzzy Inference System (ANFIS), Radial Distribution System (RDS), Biogeography-Based Optimization (BBO) and Distributed Generator (DG).

Scope of the Article: Optimal Design of Structures