Abstract
With increasing levels of wind generation in power systems, guaranteeing continuous power and system’s safety is essential. Frequency control is critical which requires a supplementary inertial control strategy. Since wind power generation depends directly on wind conditions, this creates an immense challenge for a conventional inertial controller with parameters suitable for all power grid operations and wind speed conditions. Therefore, tuning the controller gains is absolutely critical for an integrated conventional/renewable power system. Here, a fuzzy-logic adaptive inertial controller scheme for online tuning of the proportional-derivative-type (PD) inertial controller parameters is proposed. The proposed controller adapts the control parameters of the supplementary inertial control of the doubly fed induction generator (DFIG) wind turbine so that with any disturbance such as load changes, the active power output can be controlled to mitigate the frequency deviation. Simulation results indicate that the proposed adaptive controller demonstrates a more consistent and robust response to load changes compared to a conventional controller with fixed parameters.
Highlights
E necessity and challenge of a reduction in CO2 emissions due to its detrimental effect on environment, as well as insurance and dearth of sources such as fossil fuel, has led to several countries agreed to raise the penetration level of non-traditional and renewable generation sources
Wind turbines are designed to operate to increase their output power under various wind power conditions their active power is mainly determined by the wind speed. e rotor speed of a doubly fed induction generator (DFIG) is decoupled from the system frequency. us, DFIG active power output remains constant with any changes in the system frequency
5.1 e simulation system Simulations have been evaluated in Matlab/Simulink environment to con rm the conventional inertial scheme and to verify the effectiveness of the proposed control strategy. e results demonstrate the ability of the DFIG to simulate system inertia response in the event of any transient occasion such as an abrupt upsurge in load. e power system considered for this study consists of a four-machine power grid containing three traditional synchronous power generators (M1, M2, M3) are valued at 400 MW, 400 MW and 500 MW respectively, two combined loads (L1, L2) are rated at 800 MW each and a 200-unit DFIG-based wind farm rated at 300 MW (1.5 MW each)
Summary
E necessity and challenge of a reduction in CO2 emissions due to its detrimental effect on environment, as well as insurance and dearth of sources such as fossil fuel, has led to several countries agreed to raise the penetration level of non-traditional and renewable generation sources. Due to the decoupling of the rotational speed from the grid frequency, the DFIG produces no response to changes in system frequency [5] It is possible for a wind turbine to contribute to the system inertia and support the frequency control by adding a supplementary inertial control. Prior to a disturbance, ∆Pref = PMPPT, when the power system frequency drops below its nominal value for any transient event such as sudden increase or decrease in load and/or demand, the inertial control loop (the RoCoF loop ∆Pin and the frequency deviation loop ∆P) provides extra active power to the DFIG active power reference Pref control loop (see Fig. 1). Where Pm, Pe, PMPPT represents mechanical power electromagnetic power and maximum power point tracking (MPPT) respectively
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