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.
| Language | English |
|---|---|
| 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 |
|---|---|
| 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
Cite this
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A novel model-free prediction of power quality problems via DSTATCOM. / Bukata, Bala Boyi; Li, Yun.
ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering. 2012. p. 37-42 6330509.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - A novel model-free prediction of power quality problems via DSTATCOM
AU - Bukata, Bala Boyi
AU - Li, Yun
PY - 2012/9/7
Y1 - 2012/9/7
N2 - 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.
AB - 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.
KW - distribution network
KW - DSTATCOM
KW - fuzzy logic control
KW - model-free predictive control
KW - power quality
KW - simplex algorithm
UR - http://www.scopus.com/inward/record.url?scp=84869457998&partnerID=8YFLogxK
M3 - Conference contribution book
SN - 9781908549006
SP - 37
EP - 42
BT - ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing
ER -