Modeling, Design, and Implementation of a Power Conversion System for Small-Scale High-Altitude Wind Power Generating System

Adhikari, Jeevan; Prasanna, I. V.; Ponraj, Godwin; Panda, Sanjib Kumar

doi:10.1109/tia.2016.2604388

Cited by 15 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the used matrix converter requires a large number of switching devices and a complex switching scheme to achieve soft (low loss) switching [19,25]. Moreover, matrix converters have high semiconductor chip area due to the large number of active semiconductor devices [26]. Both [21,22] realize flexible power conversion and power factor correction.…”

Section: Solid State Transformer Topologiesmentioning

confidence: 99%

Solid State Transformers Topologies, Controllers, and Applications: State-of-the-Art Literature Review

2018

View full text Add to dashboard Cite

With the global trend to produce clean electrical energy, the penetration of renewable energy sources in existing electricity infrastructure is expected to increase significantly within the next few years. The solid state transformer (SST) is expected to play an essential role in future smart grid topologies. Unlike traditional magnetic transformer, SST is flexible enough to be of modular construction, enabling bi-directional power flow and can be employed for AC and DC grids. Moreover, SSTs can control the voltage level and modulate both active and reactive power at the point of common coupling without the need to external flexible AC transmission system device as per the current practice in conventional electricity grids. The rapid advancement in power semiconductors switching speed and power handling capacity will soon allow for the commercialisation of grid-rated SSTs. This paper is aimed at introducing a state-of-the-art review for SST proposed topologies, controllers, and applications. Additionally, strengths, weaknesses, opportunities, and threats (SWOT) analysis along with a brief review of market drivers for prospective commercialisation are elaborated.

show abstract

Section: Solid State Transformer Topologiesmentioning

confidence: 99%

Solid State Transformers Topologies, Controllers, and Applications: State-of-the-Art Literature Review

2018

View full text Add to dashboard Cite

show abstract

“…If the power increases with respect to the previous step voltage then the search process continues in the same direction, or else it will be reversed. So here there can be two input variables [21].…”

Section: Rotor Side Converter Controllermentioning

confidence: 99%

“…The FLC controlled GSI is represented [21][22][23][24] as shown in Figure 4. The VSI is connected to the grid without any transformer and the real power, P and reactive power, Q fed through VSI can easily be computed as, (19) where I q , V cq and I d , V cd are the quadrature and direct axis components of the current phasors and AC voltage of VSI output.…”

Section: Grid Side Inverter (Gsi)mentioning

confidence: 99%

Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System

Sekhar

Babu

2017

JGE

View full text Add to dashboard Cite

This paper analyses the modelling and control of the grid connected wind energy conversion system (WECS). The required power for grid connected load is effectively supplied by the proposed wind turbine, permanent magnet. And at the grid connected voltage source inverter utilizes a simple FLC with hysteresis current controller (HCC), which suits well for variable speed operation of a wind turbine with direct driven PMSG. Detailed modelling and controller strategies of overall system performance during the transient and dynamic conditions of the proposed system are analyzed to show the effectiveness of the controller strategies. The simulations have been done using MATLAB/Simulink.

show abstract

“…Matrix converter (MC) has also received increasing attention in recent years as it avoids the DC-link stage but requires complex control to ensure proper control at both generator and grid side which are not entirely decoupled [6]. To provide better control with a reduced number of switches and with low cost, a three phase-three switch-three level rectifier called Vienna rectifier is used as MSC [7]. Vienna rectifier generates three voltage levels with three power switches, thus simplifying the control, provides high input current quality, lower torque ripple, lower voltage stresses on switches which can enhance reliability and improved power factor [8].…”

Section: Introductionmentioning

confidence: 99%

Frame-Angle Controlled Wavelet Modulated Inverter and Self-Recurrent Wavelet Neural Network-Based Maximum Power Point Tracking for Wind Energy Conversion System

et al. 2020

View full text Add to dashboard Cite

In this work, a new control methodology is proposed for Type-IV wind energy conversion system (WECS) using a self-recurrent wavelet neural network (SRWNN) control with a Vienna rectifier as the machine side converter (MSC). A SRWNN combines excellent dynamic properties of recurrent neural networks and the fast convergence speed of wavelet neural network. Hidden neurons of SRWNN contains local self-feedback loops, which provide the memory feature and the necessary information of past values of the signals, allowing it to track maximum power from WECS under varying wind speeds. The Vienna rectifier allows unity power factor operation to increase electrical efficiency. Frame angle-controlled wavelet modulation is proposed for the grid side converter (GSC). Wavelet modulated inverter produces output voltage fundamental components with higher magnitudes than those obtained from the pulse width modulated inverters. The non-linear load compensation and power quality enhancement are achieved by executing frame angle control for WM inverter. The overall system is modeled, and performance is verified in MATLAB Simulink. The hardware prototype is developed, and the switching pulses for the rectifier and inverter are generated using dSPACE1104 controller. The results prove that the system provides low harmonic content and high magnitude of the fundamental current component at the machine and grid sides and ensures maximum power operation at various wind speeds. INDEX TERMS Wind Energy Conversion System (WECS), Wavelet modulation (WM), Maximum power point tracking (MPPT), Self recurrent wavelet neural network (SRWNN)

show abstract

Modeling, Design, and Implementation of a Power Conversion System for Small-Scale High-Altitude Wind Power Generating System

Cited by 15 publications

References 25 publications

Solid State Transformers Topologies, Controllers, and Applications: State-of-the-Art Literature Review

Solid State Transformers Topologies, Controllers, and Applications: State-of-the-Art Literature Review

Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System

Frame-Angle Controlled Wavelet Modulated Inverter and Self-Recurrent Wavelet Neural Network-Based Maximum Power Point Tracking for Wind Energy Conversion System

Contact Info

Product

Resources

About