Coordinated Active Power Control Strategy for Deloaded Wind Turbines to Improve Regulation Performance in AGC

Luo, Haocheng; Hu, Zechun; Zhang, Hongcai; Chen, Huimiao

doi:10.1109/tpwrs.2018.2867232

Cited by 96 publications

(35 citation statements)

References 38 publications

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“…In [18], the DFIG droop gain is adapted in real-time using a self-tuning controller based on particle swarm optimisation (PSO) to achieve better dynamic frequency response. A coordinated active power control strategy, including the simultaneous activation of pitch angle controller (PAC) and rotor speed control, has been proposed in [19] for de-loaded WTGs to improve regulation performance in load frequency control (LFC).…”

Section: Introductionmentioning

confidence: 99%

Load frequency control of smart isolated power grids with high wind farm penetrations

Golkhandan

Torkaman

Aghaebrahimi

et al. 2020

IET Renewable Power Generation

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The increasing contribution of wind turbine generators (WTGs) in power grids requires the control of wind generators and their impacts on the load frequency control (LFC). In this study, a detailed strategy for the control of WTGs in a smart power grid for LFC is presented. The WTGs are controlled by applying fuzzy logic controller with three inputs from wind velocity, frequency deviations, and wind velocity changes per second. The control takes into account for each WTG, an improved pitch angle controller to assist in fast damping of frequency deviations due to sudden high wind. Also, a feedback signal from frequency deviations, with the participation factor determined by a smart learning-based intelligent controller (BELBIC) is used to determine rotor speed deviations. The controller facilitates frequency stability, and lower variations in the output power of conventional units. Simulation results, performed on a test system with three interconnected zones, validate the effectiveness of the proposed control strategy.

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Section: Introductionmentioning

confidence: 99%

Load frequency control of smart isolated power grids with high wind farm penetrations

Golkhandan

Torkaman

Aghaebrahimi

et al. 2020

IET Renewable Power Generation

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show abstract

“…Usually, the orientation of the WTBs to the incoming wind in order to operate with the optimal AoA is achieved with the pitch system of the wind turbine. A detailed explanation on the adaption of the pitch angle to its optimal value was presented in the work of Luo et al [27]. Even if the response of the pitch system is fast compared to the other mechanical actuator in a wind turbine (the yaw system), the inertia of the WTBs avoids a response fast enough to properly face the very short-term variations in the incoming wind.…”

Section: Introductionmentioning

confidence: 99%

Optimal Wind Turbine Operation by Artificial Neural Network-Based Active Gurney Flap Flow Control

et al. 2019

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Flow control devices have been introduced in the wind energy sector to improve the aerodynamic behavior of the wind turbine blades (WTBs). Among these flow control devices, Gurney flaps (GFs) have been the focus of innovative research, due to their good characteristics which enhance the lift force that causes the rotation of the wind turbine rotor. The lift force increment introduced by GFs depends on the physical characteristics of the device and the angle of attack (AoA) of the incoming wind. Hence, despite a careful and detailed design, the real performance of the GFs is conditioned by an external factor, the wind. In this paper, an active operation of GFs is proposed in order to optimize their performance. The objective of the active Gurney flap (AGF) flow control technique is to enhance the aerodynamic adaption capability of the wind turbine and, thus, achieve an optimal operation in response to fast variations in the incoming wind. In order to facilitate the management of the information used by the AGF strategy, the aerodynamic data calculated by computational fluid dynamics (CFD) are stored in an artificial neural network (ANN). Blade element momentum (BEM) based calculations have been performed to analyze the aerodynamic behavior of the WTBs with the proposed AGF strategy and calculate the corresponding operation of the wind turbine. Real wind speed values from a meteorological station in Salt Lake City, Utah, USA, have been used for the steady BEM calculations. The obtained results show a considerable improvement in the performance of the wind turbine, in the form of an enhanced generated energy output value and a reduced bending moment at the root of the WTB.

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“…AGC must function rapidly and optimally in a system to ensure a minimum area control error (ACE). Although classical control techniques such as the proportional (P), proportional–integral (PI), and PI–Derivative (PID) are effective at load management, the extended power scale, the increased PV penetration, and the grid structural merging mean that AGC is no longer work‐separated [6, 7, 21]. Thus, the AGC parameter tuning is of critical importance in terms of practical power system operational, especially given the interconnections with different generator types and network configurations.…”

Section: Introductionmentioning

confidence: 99%

Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants

2019

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The centralised utility-scale photovoltaic (PV) plants installation has greatly enlarged their percentage in the bulk power systems, along with the nature uncertainty for the balance of system power and loads. Consequently, the successful integration of solar PV power in large-scale power systems requires a reliable and efficient multi-area automatic generation control (AGC) system within the control centre. Specifically, area-AGCs that perform tie-line bias control, in which the area frequency regulates the tie-line power flow, must balance the operational control area supply power-and-demand loads within a pre-tuned parameter set. Traditional AGC control systems have area linear controllers that must be periodically tuned to manage the high fluctuation of PV power. A practical two-step tuning method to determine the optimal parameters of existing multi-area AGCs is presented. The proposed method is demonstrated on a five-area multi-machine power system with two large PV plants. The power system was equipped with the synchrophasor-based monitoring system, with a real-time simulation platform serving as the application host. Results indicated that the two-step tuning method provides optimal parameters for all the system AGCs over a wide range of PV penetration levels. Typical results demonstrated the effectiveness of the tuned multiarea AGCs under dynamic conditions and disturbances.

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Coordinated Active Power Control Strategy for Deloaded Wind Turbines to Improve Regulation Performance in AGC

Cited by 96 publications

References 38 publications

Load frequency control of smart isolated power grids with high wind farm penetrations

Load frequency control of smart isolated power grids with high wind farm penetrations

Optimal Wind Turbine Operation by Artificial Neural Network-Based Active Gurney Flap Flow Control

Optimal automatic generation controllers in a multi‐area interconnected power system with utility‐scale PV plants

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