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Wind Farm Impact in Power System and Alternatives to Improve the Integration Part 8

Tham khảo tài liệu 'wind farm impact in power system and alternatives to improve the integration part 8', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 164 Wind Farm - Impact in Power System and Alternatives to Improve the Integration Fig. 9. Faults and their estimations bus voltage sensor faultfi t and its estimate and generator speed sensor faultf2 t and its estimate top Fault estimation errors bottom Fig. 10. Responses of bus voltage Vb and rotor speed s of the fuzzy control system solid line observer dash line and the refence model dotted line with parameter uncertainties and sensor faults based on 54 under the same refence input r t It can be seen from the simulation results that the states of the HWDSS system follow those of the reference model in the presence bounded parametric uncertainties and sensor faults. Fig. 8 shows that the responses of the fuzzy control system with parameter uncertainties are better than that of the fuzzy control system without parameter uncertainties. This is because an additional control signals i.e. e le t IpllllM-LMI ei tMWLIWll e1 i TP1e1 t e1 t Pebt are used the reason can also be seen from 42 i.e. IA ei t III P1II JI AA JI-1 aa- L 11 - 1 x t JI n -1 r L J x tJ makes error e t approach Intelligent Control of Wind Energy Conversion Systems 165 zero at a faster rate. Figs. 10 shows there is spike when the fault is detected at 20.75 sec and then the HWDSS trajectory follows the trajectory of the reference model this is because an additional control signals e1 t f t S E f t e1 t rP1e1 t . max T-T. -l-IZ- ii I I T T T - Z- . . . 1 Fig. 11. State estimation errors Vb - Vb as - às top State tracking errors Vb - Vb s - s bottom Fig. 12. Per unit wind turbine produced power In summery results we can be seen that the system trajectory follows the trajectory of the reference model which represents the trajectory of the HWDSS in the fault free situation. Thus the TS fuzzy model based controller through fuzzy observer is robust against norm-bounded parametric uncertainties and sensor faults. Comparing the results of the proposed algorithm with that given in the previous algorithms we can