Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach

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.

Small-Signal Stability Analysis and MOSMA-Based Optimization Control Strategy of OWF with MMC-HVDC Grid Connection

“…(2) The reference point method [21] is introduced to obtain the next generation of the candidate population for enhancing the diversity of the population. Furthermore, it requires no additional parameters to be set, which is beneficial for solving different problems.…”

“…It can be written as follows: where δ is a row vector that obeys the standard normal distribution, whose one random position is a non-zero element. The reference point method [ 21 ] is introduced to obtain the next generation of the candidate population for enhancing the diversity of the population. Furthermore, it requires no additional parameters to be set, which is beneficial for solving different problems.…”

“…Impedance reshaping methods have been applied to solve wideband instability issues, including damping control [ 21 , 22 ] and parameter optimization design [ 23 , 24 ]. In Ref.…”

“…In Ref. [ 21 ], a novel fuzzy control scheme for damping the sub-synchronous 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 is presented. In Ref.…”

Modeling and Control of Wide-Area Networks

“…The major characteristic of a wide-area network is the tight communication within clusters and sparse communication between clusters. This is particularly evident in post-disaster emergency communication systems [3][4][5], power grid optimization [6][7][8], internet of things applications [9][10][11][12][13], cloud computing [14][15][16], etc. In addition to the complex network topologies of wide-area networks, behavior emergence on such networks is also very fascinating.…”