Fuzzy Predictive Control of Step-Down DC-DC Converter Based on Hybrid System Approach

Sarailoo, Morteza; Rafiee, Zahra; Rezaie, Behrooz

doi:10.5815/ijisa.2014.02.01

Cited by 8 publications

(11 citation statements)

References 33 publications

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“…There exist different control mythologies for controlling switches based converters such as PMW, model predictivebased control (MPC), and zero voltage switch-PWM (ZVS-PWM) [32][33][34][35]. In this paper, the PWM modulation strategy is applied to generate gate pulses of the IGBTs.…”

Section: B Generator Modementioning

confidence: 99%

Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults

Hassanzadeh

Sangrody

Hajizadeh

et al. 2017

2017 North American Power Symposium (NAPS)

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Abstract-Power electronic converters enable wind turbines, operating at variable speed, to generate electricity more efficiently. Among variable speed operating turbine generators, permanent magnetic synchronous generator (PMSG) has got more attentions due to low cost and maintenance requirements. In addition, the converter in a wind turbine with PMSG decouples the turbine from the power grid, which favors them for grid codes. In this paper, the performance of back-to-back (B2B) converter control of a wind turbine system with PMSG is investigated on a faulty grid. The switching strategy of the grid side converter is designed to improve voltage drop caused by the fault in the grid while maximum available active power of wind turbine system is injected to the grid and the DC link voltage in the converter is regulated. The methodology of the converter control is elaborated in details and its performance on a sample faulty grid is assessed through simulation.Index Terms--Back-to-back (B2B) converter, direct-in-line wind turbine, permanent magnetic synchronous generator (PMSG), voltage drop, wind turbine control.

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Section: B Generator Modementioning

confidence: 99%

Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults

Hassanzadeh

Sangrody

Hajizadeh

et al. 2017

2017 North American Power Symposium (NAPS)

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“…MPC is widely used in the field of energy [16]. In the field of the SMSEs it is already used to optimize the production [12] and for supervision control issues [19], [15]. Our approach is based on the use of the duty cycle values of the DC/DC converters ( 1,  2 ) as an indirect measurement of the available energy.…”

Section: Design Of the Coordination Stage Controllermentioning

confidence: 99%

“…Starting from equations (2) to (8), the internal model can be written according to equation (12). State, control and output vectors are respectively defined as: …”

Section: Design Of the Internal Modelmentioning

confidence: 99%

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Model Predictive Control and Generalized Adaptative PID for Load Sharing In Systems of Multiple Sources of Energy

Ndiaye¹,

Guérin²,

Lefebvre³

et al. 2015

International Journal of Advanced Research in Computer and Comm

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This paper describes the control of the energy transfers in Systems of Multiple Sources of Energy (SMSE). The considered SMSE is a Linear Time Varying (LTV) system in view of the sources and load fluctuations. The proposed control scheme includes DC bus voltage and current regulations loops as well as the automatic adjustment of the power ratio associated with each source. DC bus voltage and current regulations loops are carried out by generalized adaptive PID controllers. The calculation of the power ratios is computed with a Model Predictive Controller (MPC) designed to optimize the system overall performance

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“…Fuzzy logic is an efficient tool to deal with uncertainties. In [15][16] ], authors successfully utilized fuzzy methods to handle uncertainties and significantly improve their results.…”

Section: Introductionmentioning

confidence: 99%

Reliability assessment of distribution system using fuzzy logic for modelling of transformer and line uncertainties

Shokrollahi¹,

Sangrody

Motalleb

et al. 2017

2017 North American Power Symposium (NAPS)

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Abstract-Reliability assessment of distribution system, based on historical data and probabilistic methods, leads to an unreliable estimation of reliability indices since the data for the distribution components are usually inaccurate or unavailable. Fuzzy logic is an efficient method to deal with the uncertainty in reliability inputs. In this paper, the ENS index along with other commonly used indices in reliability assessment are evaluated for the distribution system using fuzzy logic. Accordingly, the influential variables on the failure rate and outage duration time of the distribution components, which are natural or human-made, are explained using proposed fuzzy membership functions. The reliability indices are calculated and compared for different cases of the system operations by simulation on the IEEE RBTS Bus 2. The results of simulation show how utilities can significantly improve the reliability of their distribution system by considering the risk of the influential variables.

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Fuzzy Predictive Control of Step-Down DC-DC Converter Based on Hybrid System Approach

Cited by 8 publications

References 33 publications

Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults

Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults

Model Predictive Control and Generalized Adaptative PID for Load Sharing In Systems of Multiple Sources of Energy

Reliability assessment of distribution system using fuzzy logic for modelling of transformer and line uncertainties

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