Microgrid frequency regulation involving low‐wind‐speed wind turbine generators based on deep belief network

Bian, Xiaoyan; Zhang, Jingxian; Ding, Yang; Zhao, Jian; Zhou, Qibin; Lin, Sunfu

doi:10.1049/iet-gtd.2019.1161

Cited by 11 publications

(17 citation statements)

References 29 publications

(48 reference statements)

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“…Adaptive the deloading ratio [23] This method requires the wind speed which is not practical to be measured especially in wind farms Analytical method [24] This method requires wind speed data and the saved characteristics of wind turbines.…”

Section: Contributions Concernsmentioning

confidence: 99%

“…Using the capability of the wind turbines contribution in inertia response and primary frequency control is one of the solutions. To overcome high frequency deviation in wind farm based MGs, some papers use deloading operation mode for the wind turbines to provide fast virtual inertia and primary frequency support for the MGs [20][21][22][23][24][25][26][27][28]. In [23, 24, 26, and 27], the controller gains are tuned with respect to the wind speed.…”

Section: Contributions Concernsmentioning

confidence: 99%

“…The wind speed estimation methods are not precise methods and impose uncertainties to the controllers. However, by keeping the operation point of the wind turbines in deloding points [20][21][22][23][24][25][26][27][28], large derivable power of the wind turbines would be lost which may not costeffective solutions for wind farm owners.…”

Section: Contributions Concernsmentioning

confidence: 99%

“…2. To operate the wind turbine under maximum power point tracking (MPPT), deloaded operation strategy is not employed, thus the wind turbine participates in inertial response only [23][24][25][26][27][28].…”

Section: A the Capability Of Wind Generators In Inertial Supportmentioning

confidence: 99%

See 3 more Smart Citations

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

et al. 2021

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Due to the high penetration of renewable energy resources in microgrids (MGs), the grid inertia becomes low which leads to the grid to be vulnerable to large disturbances. The energy storage devices can play an important role to enhance the inertia of MGs. However, due to the high investment cost of storages or their dp/dt limitation, the installed energy storages cannot cover the challenge of high df/dt. A prominent solution to solve the problem is to use the inertia response of the wind generators. However, relatively high second frequency nadir is the main drawback of using the inertia response of the wind generators which may impose an extensive disturbance to MGs. Accordingly, a coordinated operation strategy for MGs between wind generator and hybrid energy storage (HES) system is proposed in this paper. In addition, to improve the inertia response of the MG; providing high-quality communication infrastructures with low delay and increasing the Ultracapacitor capacity have been paid attention. In this paper, the costs of the installed Ultracapacitor and quality of communication services are defined as the operation cost. Guaranteeing enough frequency damping for the MG with low operation cost are two conflict objectives. Therefore, a multi-objective optimization method is used to set the controllers' values and reduce the operation cost. The results confirmed that the effectiveness of the proposed strategy to control hybrid power storage in coordination with the wind generator and the frequency recovery process is improved. Also, employing the optimum values guaranteed the frequency damping effectively with low operation cost. The Integral Absolute Error (IAE) value and operation cost are reduced by 13.6% and 32%, respectively. Also, the simulation results show that the maximum MG frequency deviation and maximum df/dt is well compatible with different standards in the presence of load perturbations and different wind speeds.INDEX TERMS Microgrid (MG), Frequency control, Wind generator, Hybrid energy storage (HES), Ultra-capacitor, Inertia response, Multi-objective optimization.

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Section: Contributions Concernsmentioning

confidence: 99%

Section: Contributions Concernsmentioning

confidence: 99%

Section: Contributions Concernsmentioning

confidence: 99%

Section: A the Capability Of Wind Generators In Inertial Supportmentioning

confidence: 99%

See 2 more Smart Citations

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

et al. 2021

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“…The three constraints in Table 1 are considered in the optimisation problem (8). Accordingly, at every t = kT c , k = 0, 1, … , T T c , define three output power constraints: P max gi,ref (kT c ), P lmt gi,ref (kT c ) and P min gi,ref (kT c ).…”

Section: Constraints Derivationmentioning

confidence: 99%

Optimal power sharing of wind farms for frequency response

Junyent-Ferré

Xiang

et al. 2021

IET Renewable Power Gen

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This paper presents a uniform optimal power sharing strategy to coordinate the wind turbines (WTs) in a wind farm (WF) to provide occasional and continuous frequency response (FR). The coordination of WTs is formulated as an optimisation problem that takes into account the WT dynamics and tries to reduce the long term loss of energy yield caused by the provision of FR. This is achieved by maximising the total kinetic energy of the WF over time while reducing wear and tear of WTs. The proposed optimal power sharing strategy relies on periodic communication between each WT and a WF controller. Local linear approximations are employed to predict the system behaviour and the solution of the optimisation problem is obtained using the proposed centralised and/or distributed algorithm. The distributed algorithm only requires one‐way communication between the WF controller and local WTs, reducing the communication overheads. Simulation studies are carried out on a WF model to demonstrate the effectiveness of the proposed strategy. The results show the strategy enables reduction of yield loss over previous methods while avoiding over torque operation during FR provision.

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An adaptive operational strategy for enhanced provision of frequency containment reserve by Wind Turbines: Data-driven based power reserve adjustment

Kayedpour

Kooning

Samani

et al. 2023

Electric Power Systems Research

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Microgrid frequency regulation involving low‐wind‐speed wind turbine generators based on deep belief network

Cited by 11 publications

References 29 publications

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

Optimal power sharing of wind farms for frequency response

An adaptive operational strategy for enhanced provision of frequency containment reserve by Wind Turbines: Data-driven based power reserve adjustment

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