@inproceedings{scholars1743, journal = {2011 National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011}, title = {A review of triplen harmonics estimation and forecasting techniques applied to GDC-UTP distribution network}, address = {Perak}, note = {cited By 0; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531}, year = {2011}, doi = {10.1109/NatPC.2011.6136383}, isbn = {9781457718847}, author = {Arumugam, U. and Nor, N. M. and Abdullah, M. F.}, abstract = {Harmonics distortion is a major arising issue in power networks. In almost every study done, the source of harmonics often referred to non-linear loads. In this study, the author concerntrates only on harmonics induced by synchronous generators at generation-end. The objective of paper is to provide a complete process review on implementing a practical and efficient technique to forecast triplen harmonics voltages and corresponding phase angles at every network busses. Real-time data from the 11-kV generation system at Gas District Cooling (GDC) distribution network in Universiti Teknologi PETRONAS (UTP) would be fed into the proposed algorithm for harmonic estimation and forecasting. Based on a thorough review on various methods of harmonics state estimation (HSE), neural networks (NN) method was suggested and studied to estimate and forecast the harmonic voltage vectors. {\^A}{\copyright} 2011 IEEE.}, keywords = {Distribution network; District cooling; Forecasting techniques; Generation systems; Harmonic estimation; Harmonic state estimation; Harmonic voltages; Harmonics; Harmonics distortion; Nonlinear load; Particle swarm; PETRONAS; Phase angles; Power networks; Real-time data; Triplen harmonics, Algorithms; Estimation; Forecasting; Neural networks; State estimation; Sustainable development; Synchronous generators, Harmonic analysis}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857066593&doi=10.1109\%2fNatPC.2011.6136383&partnerID=40&md5=9cececb6e493e45e2fe8a1ad60ad2de1} }