Controller design for doubly fed induction generator using particle swarm optimization technique

Bharti, Om Prakash; Saket, R. K.; Nagar, Shyam Krishna

doi:10.1016/j.renene.2017.06.061

Cited by 36 publications

(28 citation statements)

References 13 publications

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“…A PSO is one of the modern optimization techniques and can be applied on non-linear and non-continuous optimization problems with both continuous and discrete variables. It has been used in several applications (Babu et al., 2018; Bekakra and Ben Attous, 2014; Bharti et al., 2017; Manas, 2018; Ramdan et al., 2017; Wang and Singh, 2009). PSO is a population-based stochastic optimization technique developed by Kennedy and Eberhart in 1995, inspired by social behavior of bird flocking or fish schooling.…”

Section: Seig Operating Point Computationmentioning

confidence: 99%

“…Static reactive power compensators or static VAR compensator (SVC) are shunts generating or absorbing reactive power. They can be used to control the voltage, at the points where they are connected, by injecting active or reactive current (Bouzid et al., 2012; Gelen and Yelcinoz, 2010). We can therefore identify them as variable impedance that can be sometimes inductive or capacitive load.…”

Section: Reactive Power Adjustmentmentioning

confidence: 99%

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Reactive power analysis and frequency control of autonomous wind induction generator using particle swarm optimization and fuzzy logic

Touti

2019

Energy Exploration & Exploitation

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Wind generation system is becoming increasingly important as renewable energy sources due to its advantages such as low maintenance requirement and mainly it does not cause environmental contamination. This paper presents the improvement procedure of the transient state and the regulation of the output frequency by adjusting the terminal capacitor. The aim is to provide frequency control of a self-excited induction generator in remote site using different strategies which are based on the adjustment of the reactive power at the outputs of a three-phase self-excited induction generator. A thyristor controlled reactor and a switched resistive load will be used to control reactive power. The proposed particle swarm optimization algorithm technique, location of the thyristor controlled reactor device, and parameter value are optimized simultaneously. The results obtained by this strategy will be compared with those provided by the use of Fuzzy Logic Controller. This study will be conducted through the analysis of the frequency in the steady state and transient case using a developed induction generator numerical model built using MATLAB/Simulink. Simulation and experimental results will be exposed and analyzed considering a resistive inductive load on a laboratory test bench.

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Section: Seig Operating Point Computationmentioning

confidence: 99%

Section: Reactive Power Adjustmentmentioning

confidence: 99%

Reactive power analysis and frequency control of autonomous wind induction generator using particle swarm optimization and fuzzy logic

Touti

2019

Energy Exploration & Exploitation

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“…The stator and rotor equations of the DFIG machine are derived from Park reference frame rotating at synchronous speed [15], [16], and can be described by: The stator and rotor voltage equations: The electromagnetic torque equation is given by:…”

Section: Dfig Modelmentioning

confidence: 99%

Robust Control of Doubly Fed Induction Generator Using Fractional Order Control

Azza

Kherfane

2018

IJPEDS

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In this paper, we present a robust control of a variable speed Doubly Fed Induction Generator (DFIG)-based Wind Energy Conversion System (WECS), using Fractional Order Control (FOC) to prevent system deterioration under different critical conditions (external disturbance, measurement noise and DFIG parameters variation). In order to extract the maximum power from the wind, a Maximum Power Point Tracking (MPPT) strategy based on rotor speed control is proposed. Furthermore, a vector control strategy is used for controlling active and reactive powers of DFIG. Additionally, a simple design method of Fractional Order Proportional Integral (FOPI) controller is proposed. Finally, the system’s performance is tested and compared according to reference tracking, robustness, disturbance rejection and noise minimization.

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“…The use of optimization algorithms as alternative methods for tuning PID controllers has been a recent topic of research in electric machines control. New optimization techniques are proposed, for instance, the Imperialist Competitive Algorithm (ICA) [18], evolutionary algorithm [19], Genetic Algorithm (GA) [20][21], BAT algorithm [22] ,Particle Swarm Optimization (PSO) [23][24][25][26], and Ant Colony Optimization (ACO) algorithm [27], Harmony Search (HS) [28], hybrid GA [29][30], adaptive Cuckoo Search algorithm (CS) [31].…”

Section: Introductionmentioning

confidence: 99%

Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach

Boukhalfa

Belkacem

Chikhi

et al. 2020

ACI

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This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral derivative controller (PID) in the DTC control loops of dual star induction motor (DSIM). The fuzzy controller is insensitive to parametric variations, however, with the PSO-based optimization approach we obtain a judicious choice of the gains to make the system more robust. According to Matlab simulation, the results demonstrate that the hybrid DTC of DSIM improves the speed loop response, ensures the system stability, reduces the steady state error and enhances the rising time. Moreover, with this controller, the disturbances do not affect the motor performances.

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Controller design for doubly fed induction generator using particle swarm optimization technique

Cited by 36 publications

References 13 publications

Reactive power analysis and frequency control of autonomous wind induction generator using particle swarm optimization and fuzzy logic

Reactive power analysis and frequency control of autonomous wind induction generator using particle swarm optimization and fuzzy logic

Robust Control of Doubly Fed Induction Generator Using Fractional Order Control

Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach

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