A Neuro-Fuzzy Approach to Reactive Power Compensation for Improvement of Transmission Line Performance

  Paramjit Singh,  Rajesh Chaudhary,  R.S Sachdev

Reactive power control in transmission line has been an important problem for the last many years. The role of reactive power can be understood as it affects voltage stability, power factor and losses in a power system. To solve this problem many approaches have been used in the literature. Capacitors are utilised for the same. But the problem lies in finding the optimal location and size of the capacitors. This has been targeted by many researchers using evolutionary algorithms. This thesis proposes a novel idea of using Adaptive Neuro Fuzzy Inference System for finding the optimal placement of capacitors and size of the capacitors deployed. ANFIS based algorithm is designed utilising neural network and fuzzy logic. The membership functions are formulated using an initial inference and then the weights of the common membership functions are found by using Neural Network. Gradient Learning is utilised for tuning. The results are found to be quite encouraging and convergence is achieved. The system is tested on a designed transmission T shape model.

Keywords- Face recognition; Preprocessing; characteristics match; Image Processing etc.

Unique Identification Number - IJEDR1503064
Page Number(s) -
Pubished in - Volume 3 | Issue 3 | August 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Paramjit Singh,  Rajesh Chaudhary,  R.S Sachdev,   "A Neuro-Fuzzy Approach to Reactive Power Compensation for Improvement of Transmission Line Performance", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp., August 2015, Available at :http://www.ijedr.org/papers/IJEDR1503064.pdf