Decentralized voltage control of wind farm based on gradient projection method

Jiao, Wenshu; Wu, Qiuwei; Chen, Jian

doi:10.1016/j.ijepes.2020.106308

Cited by 15 publications

(10 citation statements)

References 16 publications

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“…This study exploited the property that the nonlinear model can be linearized in the vicinity of the operating point in order to expedite the system solution [12]. The simplified state-space model of the wind turbine is described by the following equation: , θ is the pitch angle, ω r and ω f are the rotor speed and the filtered generator speed, respectively [11]. The state-space matrices are provided in Appendix A for the exact matrix representation.…”

Section: Modeling Of Wtgmentioning

confidence: 99%

“…Power control in wind farms has been the focus of industry research, traditionally emphasizing the optimization of the reactive power regulation capabilities of SVC/SVG devices [10][11][12]. Several studies have been conducted to reduce the fatigue load on wind turbines and extend their service life by implementing rational active power allocation [13].…”

Section: Introductionmentioning

confidence: 99%

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Optimization Method of Multi-Mode Model Predictive Control for Wind Farm Reactive Power

Zhang,

Ren,

Yang

et al. 2024

Energies

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This paper presents a novel approach for optimizing wind farm control through the utilization of a combined model predictive control method. In contrast to conventional methods of controlling active and reactive power in wind farms, the suggested approach integrates a wind power prediction model driven by a neural network and a state-space model for wind turbines. This combination facilitates a more precise forecast of active power, thereby enabling the dynamic prediction of the range of reactive power output from the wind turbines. When combined with the equation of state in wind farm space, it is possible to accurately optimize the reactive power of a wind farm. Furthermore, the impact of active power on voltage fluctuations in the wind farm collector system was examined. The utilization of model predictive control enhances voltage regulation, optimizes system redundancy, and increases the reactive capacity. Sensitivity coefficients were calculated using analytical methods to enhance computational efficiency and to resolve issues related to convergence. In order to validate the proposed methodology and control scheme, a wind farm simulation model comprising 20 turbines was developed to assess the feasibility of the scheme.

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Section: Modeling Of Wtgmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization Method of Multi-Mode Model Predictive Control for Wind Farm Reactive Power

Zhang,

Ren,

Yang

et al. 2024

Energies

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show abstract

“…For this purpose, different types of coordination control frameworks are illustrated in the literature and can be classified as decentralized, centralized, and distributed. Decentralized coordination control does not use any communication structure among control entities and solely relies on local measurements 21,64,65,124‐127 . In contrast, centralized control utilizes a supervisory control employing a sophisticated communication link 22,128,129 .…”

Section: Control Of Statcoms In Wind/pv Integrated Power Systemsmentioning

confidence: 99%

“…One of the main limitations of the work described in References 64, 65, 124–126 is the use of an aggregated model to represent an entire wind/solar farm as a single entity. However, for optimal voltage regulation of a large‐scale wind farm, a decentralized voltage control approach is proposed in Reference 21. The output reactive powers of the WTs and STATCOM are optimized with local controllers by computing the offline parameters using a network admittance and gradient projection (GP) method, as shown in Figure 8.…”

Section: Control Of Statcoms In Wind/pv Integrated Power Systemsmentioning

confidence: 99%

“…Also, they are smaller in size (because of having fewer passive elements compared to SVCs) and exhibits transient overload capability by selecting appropriate design rating. In contrast, capacitors/reactors and tap changers are typically suitable for steady‐state operations due to their slow response time (from few seconds to several minutes) 21,22 . Moreover, STATCOMs present reduced power losses and low noise relative to conventional synchronous condensers, consequently provide better economical operation with no adverse environmental impact.…”

Section: Introductionmentioning

confidence: 99%

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A review ofSTATCOMcontrol for stability enhancement of power systems with wind/PVpenetration: Existing research and future scope

Sadiq

Wang

Chung

et al. 2021

Int Trans Electr Energ Syst

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In recent years, the development of renewable energy sources (RESs) and their integration with the conventional power network have increased significantly. Due to the power grid transformation brought about by the large penetration of power electronics converter‐based RESs such as wind and solar photovoltaic (PV), the operation and control of the interconnected power system has become a challenging task with respect to sustaining its stability and reliability. Power systems are confronted by several new stability issues because the dynamic behavior of converter‐interfaced renewable sources differs from conventional generation. In this respect, static synchronous compensator (STATCOM), a shunt connected flexible AC transmission system (FACTS), is recognized as a fundamental solution for maintaining power system stability. This paper presents a thorough and state‐of‐the‐art review of STATCOM control in wind‐ and/or PV‐interfaced power systems for enhancing system performance by addressing key stability issues related to rotor angle stability, voltage stability, and resonance stability. A comprehensive analysis of various control techniques of STATCOM based on conventional, adaptive, nonlinear, predictive, robust, and coordinated control and soft computing techniques is provided. Furthermore, the function of the grid‐side converter of the wind/PV plant as a STATCOM is also evaluated. Finally, the shortcomings of existing research are highlighted, current control challenges are presented, and several topics for future research are suggested. This paper provides researchers the opportunity to consider the current state of research and develop new control schemes for STATCOM to further improve the stability of modern power grids.

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Summary of Wind Farm Voltage Problem and Reactive Power Optimal Control Strategy

Peng¹,

Huang²,

Chen³

et al. 2022

Lecture Notes in Electrical Engineering

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Decentralized voltage control of wind farm based on gradient projection method

Cited by 15 publications

References 16 publications

Optimization Method of Multi-Mode Model Predictive Control for Wind Farm Reactive Power

Optimization Method of Multi-Mode Model Predictive Control for Wind Farm Reactive Power

A review ofSTATCOMcontrol for stability enhancement of power systems with wind/PVpenetration: Existing research and future scope

Summary of Wind Farm Voltage Problem and Reactive Power Optimal Control Strategy

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