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.
| Original language | English |
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| Title of host publication | ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing |
| Subtitle of host publication | Integration of Design and Engineering |
| Pages | 37-42 |
| Number of pages | 6 |
| Publication status | Published - 7 Sep 2012 |
| Event | 18th International Conference on Automation and Computing, ICAC 2012 - Loughborough, Leicestershire, United Kingdom Duration: 7 Sep 2012 → 8 Sep 2012 |
Conference
| Conference | 18th International Conference on Automation and Computing, ICAC 2012 |
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| Country | United Kingdom |
| City | Loughborough, Leicestershire |
| Period | 7/09/12 → 8/09/12 |
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Keywords
- distribution network
- DSTATCOM
- fuzzy logic control
- model-free predictive control
- power quality
- simplex algorithm