Voltage performance enhancement of DFIG-based wind farms integrated in large-scale power systems: Coordinated AVR and PSS

Khezri, Rahmat; Bevrani, Hassan

doi:10.1016/j.ijepes.2015.05.014

Cited by 37 publications

(17 citation statements)

References 30 publications

(31 reference statements)

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“…The role of multi-objective genetic algorithm is obtaining the fit solution. This solution must be suitable to a specific set of objectives and it is not requisite to be fit with single object [16]. The main objectives presented in this work are reducing the oscillation in active power wave form and reducing settling time to enhance performance of power system application.…”

Section: B Multi-objective Optimization Technique (Moo)mentioning

confidence: 99%

Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm

Elkasem¹,

Kamel²,

Rashad³

et al. 2019

IJIMAI

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The evolutionary Theory is the basis of GA working method. The process of finding the optimal solution using GA is composed of Keywords DFIG, SCIG, Multi-Objective Genetic Algorithm (MOGA). AbstractThe main purpose of this paper is allowing doubly fed induction generator wind farms (DFIG), which are connected to power system, to effectively participate in feeding electrical loads. The oscillation in power system is one of the challenges of the interconnection of wind farms to the grid. The model of DFIG contains several gains which need to be achieved with optimal values. This aim can be accomplished using an optimization algorithm in order to obtain the best performance. The multi-objective optimization algorithm is used to determine the optimal control system gains under several objectives. In this paper, a multi-objective genetic algorithm is applied to the DFIG model to determine the optimal values of the gains of DFIG control system. In order to point out the contribution of this work; the performance of optimized DFIG model is compared with the non-optimized model of DFIG. The results show that the optimized model of DFIG has better performance over the non-optimized DFIG model.

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Section: B Multi-objective Optimization Technique (Moo)mentioning

confidence: 99%

Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm

Elkasem¹,

Kamel²,

Rashad³

et al. 2019

IJIMAI

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“…A number of research works on the voltage-supporting schemes of WPPs have been reported. One of the research hotspots is the automatic voltage control (AVC) system for wind power plants, which is used to control the reactive power of reactive power compensation devices in wind power plants according to the dispatching instructions of the power grid [8][9][10], so as to meet the reactive power and voltage requirements of the grid connection point. In [8], the authors designed a hierarchical automatic voltage control system to support wind power integration, in which the voltage and reactive power distribution inside the wind power plant are optimized and three different control modes are implemented considering all the terminal voltages of WTGs as well as the dynamic var reserves.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], the authors designed a hierarchical automatic voltage control system to support wind power integration, in which the voltage and reactive power distribution inside the wind power plant are optimized and three different control modes are implemented considering all the terminal voltages of WTGs as well as the dynamic var reserves. In [9], the authors proposed a coordination strategy between an automatic voltage regulator (AVR) and power system stabilizer (PSS) of synchronous generators, and fuzzy logic is used to solve the problem. In [10], an automatic voltage control system for power systems with limited continuous voltage control capability is presented.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Gains Control Scheme for PMSG-Based Wind Power Plant to Provide Voltage Regulation Service

2019

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High-penetration wind power will count towards a significant portion of future power grid. This significant role requires wind turbine generators (WTGs) to contribute to voltage and reactive power support. The maximum reactive power capacity (MRPC) of a WTG depends on its current input wind speed, so that the reactive power regulating ability of the WTG itself and adjacent WTGs are not necessarily identical due to the variable wind speed and the wake effect. This paper proposes an adaptive gains control scheme (AGCS) for a permanent magnet synchronous generator (PMSG)-based wind power plant (WPP) to provide a voltage regulation service that can enhance the voltage-support capability under load disturbance and various wind conditions. The droop gains of the voltage controller for PMSGs are spatially and temporally dependent variables and adjusted adaptively depending on the MRPC which are a function of the current variable wind speed. Thus, WTGs with lower input wind speed can provide greater reactive power capability. The proposed AGCS is demonstrated by using a PSCAD/EMTDC simulator. It can be concluded that, compared with the conventional fixed-gains control scheme (FGCS), the proposed method can effectively improve the voltage-support capacity while ensuring stable operation of all PMSGs in WPP, especially under high wind speed conditions. Energies 2019, 12, 753 3 of 20 validity of this proposed strategy is extensively demonstrated under various wind conditions using a PSCAD/EMTDC simulator. Proposed Voltage Support Scheme Based on Adaptive GainsThis section briefly describes the PMSG model used in this paper and the FGCS for reactive power and voltage control, and then the overall features of the proposed AGCS are described in detail. Permanent Magnet Synchronous Generator (PMSG) ModelA typical configuration of the PMSG model is shown in Figure 1, which consists of wind turbines, PMSGs, full-power converters and control systems. The PMSG is operated with a combination of maximum power point tracking (MPPT) strategy and pitch control. Table 1 gives the parameters of a PMSG studied in this paper [18]. Energies 2019, 01, x FOR PEER REVIEW 3 of 20This section briefly describes the PMSG model used in this paper and the FGCS for reactive power and voltage control, and then the overall features of the proposed AGCS are described in detail.

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“…Penetration level of large scale wind farm is increased in power systems [5]. Since that the large-scale wind farms have high capacity, they should be investigated like conventional power plants as they are connected to the electrical power network.…”

Section: Introductionmentioning

confidence: 99%

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

et al. 2018

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Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.

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Voltage performance enhancement of DFIG-based wind farms integrated in large-scale power systems: Coordinated AVR and PSS

Cited by 37 publications

References 30 publications

Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm

Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm

Adaptive Gains Control Scheme for PMSG-Based Wind Power Plant to Provide Voltage Regulation Service

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

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