PROJECT TITLE :
Dynamic State Estimation Based Control Strategy for DFIG Wind Turbine Connected to Complex - 2017
This paper proposes a viable resolution to the long-lasting issue of using flux-concerned control theme to regulate the behavior of doubly fed induction generator (DFIG) throughout faults. Rather than trying to design a complicated methodology to measure flux, which cannot be directly measured with modern technology, the answer utilizes unscented Kalman filter-primarily based dynamic state estimation of DFIG connected to a complicated power system to estimate the wished variables. The decentralized estimation theme takes into thought the power system network and uses only local noisy PMU measurement knowledge. DFIG management schemes are investigated to a truthful extent where three control ways are discussed with comparison results presented. The improved control scheme displays a higher fault recovery response and system compatibility. A number of concerns are taken under consideration in the look of DFIG control schemes, including reactive power supports and dc-link current compensation.
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