Abstract
This paper presents a novel fuzzy control scheme for damping the subsynchronous resonance (SSR) according to the wide-area measurement system (WAMS) in power systems including doubly fed induction generator (DFIG)-based wind farms connected to series capacitive compensated transmission networks. The SSR damping is attained by adding the fuzzy controller as a supplementary signal at the stator voltage loop of the grid-side converter (GSC) of DFIG wind farms. Additionally, time delays due to communication signals are important when using WAMSs. If the time delays are ignored, it causes system instability. In this paper, the time delays are modeled with a separate fuzzy input to the controller. The new fuzzy control approach is executed by using the angular velocity of synchronous generators (w) and its variation in the angular velocity (dw/dt). The effectiveness and success of the WAMS-based fuzzy controller is demonstrated by comparison with the particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) optimization methods. The efficacy and validity of the planned auxiliary damping control are verified on a modified version of the IEEE second benchmark model including DFIG-based wind farms via time simulations using the MATLAB/Simulink toolbox.
Highlights
Due to the restructuring of power systems, system features have changed somewhat, including the transmission system, and have exceeded their stable ranges [1]
This paper offers a new method for decreasing subsynchronous resonance in utility
A new scheme for damping of subsynchronous resonance in power systems including utility doubly fed induction generator (DFIG) wind farms linked to series capacitive compensated transmission lines was employed
Summary
Due to the restructuring of power systems, system features have changed somewhat, including the transmission system, and have exceeded their stable ranges [1]. We used a power system including DFIG-based wind farms, which have rarely been considered in previous studies. Because DFIG-based wind farms are offshore and usually far from the compensated power system and transmission line, using WAMS is justified [13]. This is significant because the auxiliary control scheme is used for SSR oscillation in DFIG control, and because we employed the angular velocity and its variations in synchronous generators for auxiliary control signals. DFIG-based wind farms considering time delays by the PMU measurement in communication networks. Design of a WAMS-based fuzzy control scheme that considers the communication time latencies originating from PMU measurements.
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