A proposed flicker mitigation scheme of DFIG in weak distribution networks

Abulanwar, Sayed; Ghanem, Abdelhady; Rizk, Mohammad E. M.; Hu, Weihao

doi:10.1016/j.aej.2019.05.014

Cited by 13 publications

(2 citation statements)

References 31 publications

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“…Due to high controllability of adaptive high‐order sliding mode controller is chosen as P‐f droop controller. The sliding mode control is a scalable and robust strategy to control the linear and nonlinear systems with highly disturbance conditions 47 . This is scheduled based on two basic steps: selecting the sliding surface and designing the controller to achieve a limited time to reach the desired state of perfect tracking 48,49 .…”

Section: Introductionmentioning

confidence: 99%

Synchronization and frequency control strategy for doubly fed induction generator based on adaptive high‐order sliding mode controller

Zare

2021

Int J Numerical Modelling

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Since the DFIGs have been widely used in the modern electric power system, they must participate in the frequency regulation and active power generation during different internal and external disturbance conditions. The amassed kinetic energy in the rotating components due to acceleration and deceleration operating conditions can appropriately support the active power generation. Loss of the rotor speed equilibrium leads to overspeed of the DFIG's rotor and accordingly instability condition. An imbalance between power generation and demand can create a significant deviation in the frequency of the power system, that is, the speed and frequency of the generator increase due to reduced load and increased power, and vice versa. Hence, the frequency of the power system is basically considered a prominent measure for maintaining the balance of active power, while various frequency regulation strategies such as inertial response and frequency control have been widely used for DFIG. On the other hand, the synchronization control‐based power generation by DFIG can cause an instability condition during the severe disturbances. This paper proposes ASCS‐AHSMC to accurately regulate the system frequency and maintain the synchronization. To appraise the performance of the proposed controller, it has been compared with the conventional SMC and Fuzzy‐based SMC. Furthermore, DFIG experiences less stable conditions under different wind variation models and short circuit to validate the controllability of ASCS‐AHSMC. Finally, the performance of the ASCS‐AHSMC has been well approved under different disturbance conditions as compared with the conventional SMC and the Fuzzy‐based SMC.

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Section: Introductionmentioning

confidence: 99%

Synchronization and frequency control strategy for doubly fed induction generator based on adaptive high‐order sliding mode controller

Zare

2021

Int J Numerical Modelling

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“…Generally, two main mitigation techniques are available to minimize the flicker in the grid-connected windfarm [2], [3]. The first one is to control the wind turbines so that their generated power is smooth.…”

Section: Introductionmentioning

confidence: 99%

TS fuzzy prediction-based SVC compensation of wind farms flicker: A dual-UKF approach

2021

CSEE JPES

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Fast fluctuations in wind farm power produce voltage flicker in the network. One way to mitigate the flicker is to place a static VAr compensator (SVC). Due to the operating delay of SVCs, it is essential to predict the wind farm reactive power. Here, a novel fuzzy nonlinear modeling approach is suggested and used in the one-step-ahead prediction of the power characteristics. The base of the developed fuzzy modeling is the Takagi-Sugeno fuzzy representation and a dual-unscented Kalman filter (D-UKF). In other words, a nonlinear TS fuzzy system is trained online via the D-UKF. The forecasted value is used as the SVC's reference signal. A large number of the actual data gathered from a wind farm are used for the performance evaluation. These data are collected in winter and summer for different climate situations. Using the actual data a current source with changing amplitude and phase which are updated every half-cycle is used to model the wind farm. Numerical results, including the flicker indices, confirm the improvement in the SVC's performance.

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Assessment of Flicker Emission in a Grid Connected Wind Farms

Magesh¹,

Devi²,

Lakshmanan

2023

J. Electr. Eng. Technol.

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Wind farms in Tamil Nadu's Coimbatore district have identified several issues, including flickering emissions, frequent generator tripping, and power evacuation issues caused by a weak grid. Taking into consideration the scarcity of research on flickering emissions, this work focuses on the causes of short-term flicker severity (Pst) in wind farms that export generated power to industrial loads. To identify the scenarios that cause flickering, simulation models of Fixed Speed Wind Farm (FSWF) and Variable Speed Wind Farm (VSWF) with controllers were developed using DIgSILENT power factory software. The flicker emissions were measured at the wind farm substations using Fluke and Dranetz PX5.8 power quality analyzers in accordance with the IEC 61400-21 standard. To validate the simulation model, the results from the flickermeter during the simulation and the field measurements were compared. According to the results of this research, both fixed and variable speeds produce flicker emissions that exceed the IEC standard limit, that causes the power electronics-based industrial drives to fail to operate. The controllers were developed to improve the performance of wind farms that will benefit the current and future wind energy-efficient conversion systems (WECS). Keywords FSWF. VSWG. Flickering. Point of Common Coupling. Power Quality Analyzer [40] Abulanwar, Sayed, Abdelhady Ghanem, Mohammad EM Rizk, Weihao Hu. (2019) A proposed flicker mitigation scheme of DFIG in weak distribution networks.

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A proposed flicker mitigation scheme of DFIG in weak distribution networks

Cited by 13 publications

References 31 publications

Synchronization and frequency control strategy for doubly fed induction generator based on adaptive high‐order sliding mode controller

Synchronization and frequency control strategy for doubly fed induction generator based on adaptive high‐order sliding mode controller

TS fuzzy prediction-based SVC compensation of wind farms flicker: A dual-UKF approach

Assessment of Flicker Emission in a Grid Connected Wind Farms

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