نویسندگان | سید عباس طاهر,رضا همتی,علی عبدلعلی پور,شهاب الدین اکبری |
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نشریه | International Journal of Electrical Power and Energy Systems |
شماره صفحات | 173 |
شماره مجلد | 43 |
ضریب تاثیر (IF) | 3.25 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2012-06-18 |
رتبه نشریه | علمی - پژوهشی |
نوع نشریه | چاپی |
کشور محل چاپ | ایران |
نمایه نشریه | SCOPUS ,JCR |
چکیده مقاله
The unified power flow controller (UPFC) integrates properties of both shunt and series compensations, and can effectively alter power system parameters in such a way that increases power transfer capability and enhances system stability. In practice, simple proportional–integral (PI) controllers are used to con- trol the UPFC. However, the PI control parameters are usually tuned based on classical or trial-and-error approaches and as such, they are incapable of obtaining good dynamic performance for a wide range of operating conditions and various loads in power systems. Hence, in this article robust control approaches are proposed based on the quantitative feedback theory (QFT), H1 loop-shaping and l-synthesis, to design UPFC controllers (power-flow and DC-voltage regulator). The three mentioned methods are com- pared with each other and a supplementary damping controller is developed to improve damping power system oscillations. Here, a single-machine infinite-bus (SMIB) power system, installed with a UPFC (with system parametric uncertainties) is considered as a case study. The system parametric uncertainties are obtained following 40% simultaneous alterations in parameters and load from their typical values. The simulation results indicate satisfactory verifications of the robust control methods in dealing with the uncertainties considered. When the above three methods and the PI controller are compared in perfor- mance in several time-domain simulation tests, the results show clear superiority of the three methods over the PI controller, with the QFT presenting the best performance amongst the three robust control.
tags: Flexible AC transmission systems Unified power flow controller Robust control Quantitative feedback theory l Synthesis H1 loop-shaping