Optimal parameter design of input filters for general purpose inverter based on genetic algorithm

Li, Wenyan; Man, Yongkui; Li, Guo Liang

doi:10.1016/j.amc.2008.05.017

Cited by 11 publications

(4 citation statements)

References 18 publications

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“…Some studies have highlighted that algorithms for calculating the parameters of filters has not been studied in detail [13], although some authors have implemented optimization algorithms for optimizing the configuration of the filters in circuits having harmonic distortion. For example, in [15] it was proposed a genetic algorithm to minimize current total harmonic distortion using LC passive harmonic filters. Other recent studies have applied swarm intelligence methods to comparatively evaluate single-tuned, double-tuned, triple-tuned, damped-double tuned, and C-type filters in order to improve the loading capability of a set of transformers under non-sinusoidal conditions [16].…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Therefore, it is important to investigate how to improve the compensation of the power factor in non-sinusoidal systems in the presence of harmonics. Some investigations have highlighted that algorithms for calculating the parameters of filters have rarely been discussed [13], although in recent years some authors have applied computational optimization methods, including meta-heuristic approaches, for optimizing filter parameters in circuits having harmonic distortion [2,[14][15][16]. More specifically, genetic algorithms have been successfully applied in [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Quadrature Current Compensation in Non-Sinusoidal Circuits Using Geometric Algebra and Evolutionary Algorithms

2019

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Non-linear loads in circuits cause the appearance of harmonic disturbances both in voltage and current. In order to minimize the effects of these disturbances and, therefore, to control the flow of electricity between the source and the load, passive or active filters are often used. Nevertheless, determining the type of filter and the characteristics of their elements is not a trivial task. In fact, the development of algorithms for calculating the parameters of filters is still an open question. This paper analyzes the use of genetic algorithms to maximize the power factor compensation in non-sinusoidal circuits using passive filters, while concepts of geometric algebra theory are used to represent the flow of power in the circuits. According to the results obtained in different case studies, it can be concluded that the genetic algorithm obtains high quality solutions that could be generalized to similar problems of any dimension.

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Section: Problem Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quadrature Current Compensation in Non-Sinusoidal Circuits Using Geometric Algebra and Evolutionary Algorithms

2019

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“…In this work, the PI control parameters were optimized using the simplex optimization technique. Other various optimization methods, such as particle swarm optimization (PSO), have also been used in PI controller parameter tuning for different applications [10][11][12][13]. The performance of the PI controller is limited to small load disturbances, its design is based on a precise mathematical model of the actual system under consideration, and it requires proper tuning of its control parameters.…”

Section: Introductionmentioning

confidence: 99%

An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization

Mutlag

Shareef

Mohamed

et al. 2014

International Journal of Photoenergy

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This paper presents an adaptive fuzzy logic controller (FLC) design technique for photovoltaic (PV) inverters using differential search algorithm (DSA). This technique avoids the exhaustive traditional trial and error procedure in obtaining membership functions (MFs) used in conventional FLCs. This technique is implemented during the inverter design phase by generating adaptive MFs based on the evaluation results of the objective function formulated by the DSA. In this work, the mean square error (MSE) of the inverter output voltage is used as an objective function. The DSA optimizes the MFs such that the inverter provides the lowest MSE for output voltage and improves the performance of the PV inverter output in terms of amplitude and frequency. The design procedure and accuracy of the optimum FLC are illustrated and investigated using simulations conducted for a 3 kW three-phase inverter in a MATLAB/Simulink environment. Results show that the proposed controller can successfully obtain the desired output when different linear and nonlinear loads are connected to the system. Furthermore, the inverter has reasonably low steady state error and fast response to reference variation.

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“…The application of neural networks as a smart control scheme for a shunt active filter has been described. Other intelligent control algorithms such as artificial intelligence and genetic as controllers for active filters can also be used [6].…”

Section: Introductionmentioning

confidence: 99%

Harmonic Distorted Load Control in a Microgrid

Khaledian

Vahidi

Abedi

2014

Journal of Applied Research and Technology

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In this paper the response of a microgrid to the interfaced harmonic distorted load is analyzed. A new control algorithm to mitigate harmonic distortion is considered for distributed generators (DGs) and the effect of this control scheme is shown in the currents of DGs and other loads.The proposed control algorithm is compared with the conventional control strategy for harmonic distorted loads that is sinusoidal source current strategy based on the instantaneous reactive power (IRP) theory. PSCAD simulation results for IRP theory control show high total harmonic distortion (THD) and 3rd harmonic percent. In comparison inner voltage and current controllers of the proposed control scheme with their disturbance rejection capability, mitigate THD and 3rd harmonic percent. For this control system MATLAB simulation results are shown.By demonstrating the traditional sinusoidal source current control strategy based on IRP theory, it is concluded that ignoring the distortion power (D) in compensating process and also sub-harmonics of Pαβ crossing from the controller interior high pass filter cause the presence of some harmonic components and high THD.

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Optimal parameter design of input filters for general purpose inverter based on genetic algorithm

Cited by 11 publications

References 18 publications

Quadrature Current Compensation in Non-Sinusoidal Circuits Using Geometric Algebra and Evolutionary Algorithms

Quadrature Current Compensation in Non-Sinusoidal Circuits Using Geometric Algebra and Evolutionary Algorithms

An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization

Harmonic Distorted Load Control in a Microgrid

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