Optimizing PWM Switching Sequence of Inverters Using an Immune Genetic Algorithm

Qian, Shuqu; Ye, Yongqiang; Wu, Huiqiang; Zhuang, Zhongwen

doi:10.1109/ihmsc.2016.20

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…However, the converters need a control system. These converters are controlled by using classical and advanced control methods such as P, PI, PD, and PID controllers [5]; fuzzy logic controllers [6], fractional PID [7]; artificial neural networks [8]; vector control methods [9]; model predictive control [10]; and genetic algorithms [11].…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers

Zenk

2019

International Journal of Photoenergy

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In this study, a dynamic system has been modeled to efficiently use a photovoltaic generation and control system (PVGCS) for driving of a medium power off-grid electric machine. The measures have been taken to respond to three different disturbing factors in this system. First, the photovoltaic panels selected for energy generation have a variable solar radiation effect. Second, the DC motor load at the system output is assumed to have a variable torque. Third, a variable reference voltage, which is determined even in the case of time-varying energy generation and consumption of the system, is followed with minimum error. For this purpose, a push-pull converter has been chosen as a highly flexible structure since it is predicted that it can provide stable and effective variable DC voltage at increasing and decreasing level required for DC motor. The control of the DC voltage at different levels to be provided by the push-pull converter is performed by PI, fuzzy logic, fuzzy-tuned PI, 2-DOF PI, and fractional PID logic whose coefficients are selected by appropriate methods, respectively. The system efficiency and stability under the influence of these five different advanced controllers are compared. In the case of two disturbing factors affecting the system, the difference values (errors) of the voltage generated by each selected controller with the reference voltage are determined comparatively. The studies were carried out by using dynamic system modeling in MATLAB-SIMULINK software. In addition, the results of this study proved which type of controllers is more successful in controlling systems with the second order and more instability factors and which of them responds to sudden changes in errors more quickly.

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Section: Introductionmentioning

confidence: 99%

Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers

Zenk

2019

International Journal of Photoenergy

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“…Current source, voltage source, impedance source, quasi impedance source inverters, and multilevel inverters are commonly used [13]. These inverters are controlled by using classical and advanced control methods such as a PID controller [14], fuzzy logic controllers [15], fractional PID [16], artificial neural networks [17], vector control methods [18], model predictive control [19], and genetic algorithms [20].…”

Section: Introductionmentioning

confidence: 99%

A Five-Level H-Bridge STATCOM for an Off-Grid PV Solar Farm under Two Controllers PI and PI^λ-MPC Hybrid

Mengi

2018

International Journal of Photoenergy

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Investigations were presented in order to eliminate the reactive power on microgrid loads fed by an off-grid and mid-power photovoltaic solar energy system (PVSES) with a static synchronous compensator (STATCOM) device. The electric network is specifically characterized by P-Q loads, ambient temperature, and widely variable solar radiation levels. Two main innovations are developed. Firstly, the STATCOM apparatus is a 5-level H-bridge inverter with capacitances as load and must totally compensates the reactive power in the network load. Secondly, this compensation is controlled by a set of fractional PI (PI λ ) and model predictive control (MPC) hybrid. The efficiencies of these controllers were compared with classical PI controllers. Large simulations, without and with reactive power compensation, in steady and transient states, are carried out to underline the merits of the presented works, by performing in the MATLAB-Simulink environment.

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Fotovoltaik Enerji Kaynaklı İkili Yapılı Flyback Dönüştürücünün Fuzzy-Tuned PI ve Fractional PID Tipi Denetleyicilerle Gerilim Kararlılığının Karşılaştırılması

Zenk

2020

Karadeniz Fen Bilimleri Dergisi

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Bu çalışmada, fotovoltaik güneş enerjisi üretim sistemi tarafından kontrolü için Fuzzy-tuned PI ve Fractional PID tabanlı kontrolörler ile dual yapılı flyback dönüştürücü tasarımı sunulmuştur. Fotovoltaik güneş enerjisi sisteminde ortam sıcaklığı ve güneş radyasyonu seviyeleri değiştiğinden yükler bu değişkenlikten etkilenir. Sistemdeki yüklerin talep ettiği değişken DC gerilim ihtiyacını karşılamak için tasarlanan bu yeni dual flyback dönüştürücü yapısını kullanılarak etkin bir gerilim kontrolü yapıabileceği gösterilmiştir. Dual flyback dönüştürücünün tasarımı ve kontrolü sırasıyla Fuzzy-tuned PI ve Fraksiyonel PID denetleyicisi ile gerçekleştirildi. Sistem verimliliği ve kararlılığı, bu iki farklı kontrolör türünün etkisi altında karşılaştırıldı. Kararlı ve geçici durumlarda sistem performansı çalışmaların teorik tutarlılığını vurgulamak için çalışmalar MATLAB-SIMULINK ortamında gerçekleştirilmiştir. Anahtar Kelimeler: Fotovoltaik güneş enerjisi, dual flyback dönüştürücü, fuzzy-tuned PI denetleyici, fractional PID denetleyici.

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Optimizing PWM Switching Sequence of Inverters Using an Immune Genetic Algorithm

Cited by 3 publications

References 9 publications

Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers

Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers

A Five-Level H-Bridge STATCOM for an Off-Grid PV Solar Farm under Two Controllers PI and PI^λ-MPC Hybrid

Fotovoltaik Enerji Kaynaklı İkili Yapılı Flyback Dönüştürücünün Fuzzy-Tuned PI ve Fractional PID Tipi Denetleyicilerle Gerilim Kararlılığının Karşılaştırılması

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Optimizing PWM Switching Sequence of Inverters Using an Immune Genetic Algorithm

Cited by 3 publications

References 9 publications

Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers

Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers

A Five-Level H-Bridge STATCOM for an Off-Grid PV Solar Farm under Two Controllers PI and PIλ-MPC Hybrid

Fotovoltaik Enerji Kaynaklı İkili Yapılı Flyback Dönüştürücünün Fuzzy-Tuned PI ve Fractional PID Tipi Denetleyicilerle Gerilim Kararlılığının Karşılaştırılması

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A Five-Level H-Bridge STATCOM for an Off-Grid PV Solar Farm under Two Controllers PI and PI^λ-MPC Hybrid