Time-Delayed Feedback Control in the Multiple Attractors Wind-Induced Vibration Energy Harvesting System

Guo, Qin; Sun, Zhongkui; Zhang, Ying; Xu, Wei

doi:10.1155/2019/7973823

Cited by 11 publications

(9 citation statements)

References 40 publications

(54 reference statements)

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“…where Σ * is the equivalent adjustment coefficient and ΣN is the total capacity of the system. From (8) and 9, we can derive…”

Section: Coordinated Control Strategy a Er Dfig-based Windmentioning

confidence: 99%

“…To address the above issues, many efforts have been done to investigate the feasibility to incorporate wind power into power grid frequency regulation in recent years by developing advanced control strategies and frequency regulation schemes [7,8]. In [9][10][11], the potential problems caused by the large-scale wind power integration were introduced, and the recent research progress of two essential related aspects, control strategy and frequency regulation capability, has been reviewed.…”

Section: Introductionmentioning

confidence: 99%

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Frequency Regulation and Coordinated Control for Complex Wind Power Systems

Guo¹,

Wang

2019

Complexity

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With the development of complex renewable energy systems, the frequency control and regulation of the power grid powered by such renewable energies (e.g., wind turbine) are more critical, since the adopted different power generators can lead to frequency variations. To address the frequency regulation of such power grids, we will present a variable coefficient coordinated primary frequency regulation scheme for synchronous generator (SG) and doubly fed induction generator (DFIG). The variable adjustment coefficient of DFIG is defined according to the current reserve capacity, which can be applied to adjust different operation conditions to regulate the frequency variation within a predefined allowable range. Since the DFIG can make full use of the reserve wind power in the system frequency regulation, the proposed method can address both the frequency regulation response and the economic performance. Simulation results indicate that the proposed coordinated control scheme can achieve satisfactory frequency regulation response and lead to reduced demand for frequency regulation of SG.

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“…where Σ * is the equivalent adjustment coefficient and ΣN is the total capacity of the system. From (8) and 9, we can derive…”

Section: Coordinated Control Strategy a Er Dfig-based Windmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Frequency Regulation and Coordinated Control for Complex Wind Power Systems

Guo¹,

Wang

2019

Complexity

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“…To address the mentioned problems, a number of controllers and strategies have been studied for incorporation of the wind turbines into the power system frequency regulation 27,28 . Numerous problems have arisen due to the large‐scale penetration of the wind turbines, while several studies have been conducted in this regard in terms of the frequency regulation strategies 29,30 .…”

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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“…However, there are still rarely nonlinear analyses into the energy harvesting enhancement with time-delayed feedback control. Guo et al [37] proposed a time-delayed feedback control to improve collection performance of the multiple attractors wind-induced vibration energy harvester system. e results show that time-delayed feedback is a powerful tool for achieving a wide range of operating regimes and enhancing amplitude-frequency characteristics and controlling the stochastic or deterministic dynamics of nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of a Nonlinear Energy Harvesting System in Time-Delayed Feedback Control under Stochastic Excitations

Zhang

Sun

et al. 2020

Complexity

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A time-delayed feedback control is applied to a nonlinear piezoelectric energy harvesting system excited by additive and multiplicative Gaussian white noises to improve its energy harvesting performance. An equivalent decoupling system can be obtained by using a variable transformation. Based on the standard stochastic averaging method, the Fokker–Plank–Kolmogorov equation and the stationary probability density functions of the amplitude, displacement, and velocity of the harvester are obtained, respectively. In addition, the approximate expressions of mean square electric voltage and the mean extracted output power are derived. Finally, the paper explores the influences of parameters on the mean square electric voltage. The results show that noise intensity, time delay, feedback strength, time constant ratio, and coupling coefficients have great influences on the mean square electric voltage. The accuracy of the theoretical method is verified by the Monte Carlo simulation.

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Time-Delayed Feedback Control in the Multiple Attractors Wind-Induced Vibration Energy Harvesting System

Cited by 11 publications

References 40 publications

Frequency Regulation and Coordinated Control for Complex Wind Power Systems

Frequency Regulation and Coordinated Control for Complex Wind Power Systems

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

Dynamics of a Nonlinear Energy Harvesting System in Time-Delayed Feedback Control under Stochastic Excitations

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