Research on Frequency Fuzzy Adaptive Additional Inertial Control Strategy for D-PMSG Wind Turbine

Abstract

The traditional additional inertial control (T-AIC) strategy can provide frequency support for the directly-driven wind turbine with a permanent magnet synchronous generator (D-PMSG). However, due to the fixed control coefficients, the frequency modulation effect is poor under load and wind speed disturbances. In order to improve the frequency transient response of D-PMSG, a fuzzy adaptive additional inertial control strategy (FA-AIC) is proposed in this paper. A simplified D-PMSG model is established for the complexity and low calculation speed. A single-machine grid-connected system composed of a D-PMSG and an equivalent synchronous generator set (ESGS) is taken as the background and analysis of the principle of T-AIC. The proportional and derivative coefficient initial values in T-AIC are tuned by simulating the static characteristics and inertial response characteristics of the conventional synchronous generator set, and fuzzy control technology is introduced to adjust the proportional and derivative coefficients adaptively based on the frequency deviation and the frequency deviation change rate under load or wind speed disturbances. The simulation verification indicates that T-AIC, kinetic energy (KE)-based gain-AIC and FA-AIC all can utilize the D-PMSG additional inertial response to provide frequency support for grid-connected systems. Compared with T-AIC and KE-based gain-AIC, the proposed FA-AIC can not only provide more effective frequency support during load disturbances, but also suppress the frequency fluctuation caused by the wind speed variation and displays a better dynamic frequency regulation effect.

Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm

“…Yousefi-Talouki et al [12] proposed a direct power control technique for matrix converter-fed, grid-connected DFIGs. A new inertia control strategy for a permanent magnet synchronous generator based on a frequency fuzzy adaptive approach was presented by Li et al in [13]. Eltamaly et al [14] presented a control scheme for a doubly-fed induction generator in wind turbines based on a support vector regression algorithm, whose parameters are adjusted by means of a particle swarm optimization method in order to control the wind turbine in the absence of wind speed measurements by the anemometer.…”

An Adaptive fuzzy-PD inertial control strategy for a DFIG wind turbine for frequency support

“…A fuzzy adaptive additional inertial control technique is given in [19] for frequency regulation to adjust the proportional and derivative constants adaptively based on the frequency deviation and the frequency deviation change rate under load disturbances or wind speed. e derivative and proportional constant values in traditional inertial control are adjusted by simulating the static characteristics and inertial response characteristics of the conventional synchronous generator.…”

PMSG Wind Turbine Based Current Fed Three Phase Inverter with Model Predictive Control

“…Comparing MPC with the FOC with same criteria's MPTC proves its efficiency is greater than FOC irrespective of its higher computational time. In MPC normally it uses single cost function is overcome by multi cost function optimization with a ranking system [24]. When it is applied with an asynchronous motor, a appreciable enactment of the system is achieved in a steady state and dynamic behaviour is also achieved without any offline optimization.…”