A novel model-free prediction of power quality problems via DSTATCOM

Bukata, B.B. and Li, Y. (2012) A novel model-free prediction of power quality problems via DSTATCOM. In: Proceedings of the 18th International Conference on Automation and Computing, Loughborough University, Leicestershire, UK, 8 September 2012. IEEE, pp. 1-6. ISBN 9781467317221

Abstract

The distribution static compensator (DSTAT-COM) has benefitted from computer aided-design simulations. But its performance has been hampered by inadequacies in linear models of the power quality problem due to variations in system parameters, uncertainties and often missing gradient information. To address this problem, this paper applies model-free predictive control (MFPC) and describing functions in nonlinear modelling to DSTAT-COM control, using a simplex optimisation approach to online tuning. The MFPC offers the advantage of bypassing the computationally over-burdened state-space model and can sufficiently handle constraints, while arresting voltage quality violations online at high speeds against changes in customers loads. The effectiveness and efficiency of the novel method is compared against the proportional-integralderivative as well as the fuzzy proportional-derivative controllers in a simulink environment.

• Item Type: Book Sections
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Bukata, Mr Bala Boyi and Li, Professor Yun
• Authors: Bukata, B.B., and Li, Y.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Automation and Computing (ICAC), 2012 18th International Conference on
• Publisher: IEEE
• ISBN: 9781467317221