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Paper Details
Paper Title
Transmission Line Compensation using Neuro-Fuzzy Approach for Reactive Power
Authors
  Gurmeet,  Daljeet kaur
Abstract
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- ANFIS, Reactive Power, UPFC
Publication Details
Unique Identification Number - IJEDR1604054Page Number(s) - 354-362Pubished in - Volume 4 | Issue 4 | November 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Gurmeet,  Daljeet kaur,   "Transmission Line Compensation using Neuro-Fuzzy Approach for Reactive Power", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.354-362, November 2016, Available at :http://www.ijedr.org/papers/IJEDR1604054.pdf
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