Sensor fault control scheme for a variable speed wind energy system in a stand-alone DC micro grid

Sowmmiya, U.; Uma, G.; Uandai, Saburabanu

doi:10.1002/etep.2515

Cited by 4 publications

(5 citation statements)

References 47 publications

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“…For this purpose, a lot of algorithms are available that control the switching of a power electronic device to enable maximum power extract. 31 The power extracted is maximum when C p = 0.48 and λ = 8.1 as conveyed in Figure 4. The maximum power point algorithm used here is Perturb and Observe method.…”

Section: Wind Energy Conversion Systemmentioning

confidence: 89%

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Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

Varghese

Reji

2019

Int Trans Electr Energ Syst

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Summary This paper proposes a charge controller for ultracapacitor that acts as an energy storage device so that it can minimize the effect of irregular solar radiation and widely varying wind velocity. A suitable supervision for each generating unit and ultracapacitor are mandatory for a standalone system. The primary energy sources solar and wind systems are operating at maximum power point. Adaptive neuro‐fuzzy inference system (ANFIS) is utilized to foresee the voltage of panel at which extreme power is obtained for a solar system and also to ascertain the most extreme power delivered by the nonuniform and unpredictable characteristics of solar and wind energy sources. A common energy management technique is developed to manage the control flow between the distinctive power sources, loads, and ultracapacitor in the system. The results obtained by ANFIS are compared with artificial neural network. A Simulink model of the hybrid standalone system was developed and tested for various insolation, temperature, and wind velocity.

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Section: Wind Energy Conversion Systemmentioning

confidence: 89%

“…Thus, the significance of maximum power point tracking is to develop a control method for the extraction of greatest power from the wind turbine. For this purpose, a lot of algorithms are available that control the switching of a power electronic device to enable maximum power extract …”

Section: Mathematical Model Formulationmentioning

confidence: 99%

Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

Varghese

Reji

2019

Int Trans Electr Energ Syst

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“…Particularly, when the MG operates in fault mode, major challenges are presented [50]. MG models are dynamic and can change depending on the configuration and type of topology which are the cause that different modeling methodologies are required.…”

Section: Microgrids Modelingmentioning

confidence: 99%

A review on control and fault-tolerant control systems of AC/DC microgrids

Ortiz

González

Gutiérrez

et al. 2020

Heliyon

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Microgrids (MG) treat local energy supply issues effectively and from a point of view of the distribution grid, may be a power supply or virtual load. Despite holding a myriad of benefits, MGs also bear a set of challenges, including a higher fault rate. Currently, many articles focus on control techniques; however, little has been written about the techniques of control, hierarchical control, and fault-tolerant control (FTC) applied to MGs, which is the motive of this bibliographic revision on control systems. A brief comparison of the different approaches in the field of present-day research is carried out primarily addressing hierarchical control and fault tolerance. The objective of this investigation is to attract the interest of researchers to the field of control and fault tolerance applied to MGs, such as: modeling, testbed, benchmark systems, control and hierarchical control strategies, fault diagnosis and FTC.

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“…[16][17][18][19] An important problem in the detection of wind turbine faults is designing a suitable controller during the fault occurrence that causes wind energy reduction and increasing the output performance. 20,21 Also, the task of fault tolerant control (FTC) is cost reduction of maintenance and increasing reliability especially for the offshores WTs. [22][23][24] Actuators, sensors, and system faults are the most common faults in the practice.…”

Section: Introductionmentioning

confidence: 99%

Wind turbines sustainable power generation subject to sensor faults: Observer‐based MPC approach

Ghanbarpour

Bayat

Jalilvand

2019

Int Trans Electr Energ Syst

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Summary A novel approach for increasing the sustainability and reliability of energy conversion in a wind turbine (WT) system in the presence of uncertainties/disturbances and sensors fault is proposed. To this aim, an active robust fault tolerant model predictive controller (FT‐MPC) is designed for WTs under partial load condition by combining the advantages of the sliding mode observer (SMO) and MPC approaches. Since the WTs are subject to physical/constructive constraints, first, an online MPC is designed to guarantee all constraints satisfaction. Then, the consequences of sensors fault on the control system's performance are demonstrated. An efficient approach is proposed based on the SMO for estimating the sensors faults and the states simultaneously. The most significant contribution of the observer‐based FT‐MPC controller is that it is not only robust against uncertainties/disturbances but also using the proposed strategy the challenges of nonlinearity, constraints, and sensor faults can be effectively handled.

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Sensor fault control scheme for a variable speed wind energy system in a stand-alone DC micro grid

Cited by 4 publications

References 47 publications

Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

Energy storage management of hybrid solar/wind standalone system using adaptive neuro‐fuzzy inference system

A review on control and fault-tolerant control systems of AC/DC microgrids

Wind turbines sustainable power generation subject to sensor faults: Observer‐based MPC approach

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