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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bukata, B.B. Yun Li |
| Copyright Year | 2012 |
| Description | Author affiliation: Systems, Power and Energy Research Division, School of Engineering, University of Glasgow, Rankine Building, Oakfield Avenue, Glasgow G12 8LT, U.K. (Bukata, B.B.; Yun Li) |
| 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. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 288381 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467317221 |
| e-ISBN | 9781908549006 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-07 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | CACSUK |
| Subject Keyword | Computational modeling Predictive models Fuzzy logic control Model-free predictive control Optimization DSTATCOM Power quality Limit-cycles Data models Mathematical model Distribution network Simplex algorithm Predictive control |
| Content Type | Text |
| Resource Type | Article |
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