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K. N. Srinivas - One of the best experts on this subject based on the ideXlab platform.

  • Small Scale Wind Generation System: Part I – Experimental Verification Of Flux Reversal Generator Block
    International Journal of Applied Power Engineering (IJAPE), 2017
    Co-Authors: B. Vidhya, K. N. Srinivas
    Abstract:

    This research work, titled Small Scale Wind Generation System, reported in part I and part II, proposes modeling, analysis and control of a small scale wind energy conversion system employing a direct driven Flux Reversal Generator (FRG) connected to the  micro grid through a quasi-Z-source inverter (QZSI). The application of QZSI using  FRG to feed micro grid is proposed for the first time in this research work. The QZSI can realize buck/boost, inversion and power conditioning in a single stage with improved reliability. Also it features a wide range of voltage gain which is suitable for applications in wind systems, due to the fact that the wind Generator output varies widely with wind velocity. In addition, the modified space vector PWM (SVPWM) technique is proposed in this paper to satisfy the shoot-through characteristic of QZSI. This also adds to the contribution of this research work. In this part I of this full research, modelling of the small scale FRG for wind system using Finite Element Analysis (FEA) is presented.  The major parameter of FRG viz, voltage, current, torque and power are analyzed, validated and then represented in d-q model. The simulation results are validated with the analytical results. An experimental set-up to run the full procedure reported in this paper. These results form the basis for part II of this research work.

  • small scale wind generation system part i experimental verification of flux reversal Generator Block
    International Journal of Applied Power Engineering, 2017
    Co-Authors: B. Vidhya, K. N. Srinivas
    Abstract:

    This research work, titled Small Scale Wind Generation System, reported in part I and part II, proposes modeling, analysis and control of a small scale wind energy conversion system employing a direct driven Flux Reversal Generator (FRG) connected to the  micro grid through a quasi-Z-source inverter (QZSI). The application of QZSI using  FRG to feed micro grid is proposed for the first time in this research work. The QZSI can realize buck/boost, inversion and power conditioning in a single stage with improved reliability. Also it features a wide range of voltage gain which is suitable for applications in wind systems, due to the fact that the wind Generator output varies widely with wind velocity. In addition, the modified space vector PWM (SVPWM) technique is proposed in this paper to satisfy the shoot-through characteristic of QZSI. This also adds to the contribution of this research work. In this part I of this full research, modelling of the small scale FRG for wind system using Finite Element Analysis (FEA) is presented.  The major parameter of FRG viz, voltage, current, torque and power are analyzed, validated and then represented in d-q model. The simulation results are validated with the analytical results. An experimental set-up to run the full procedure reported in this paper. These results form the basis for part II of this research work.

B. Vidhya - One of the best experts on this subject based on the ideXlab platform.

  • Small Scale Wind Generation System: Part I – Experimental Verification Of Flux Reversal Generator Block
    International Journal of Applied Power Engineering (IJAPE), 2017
    Co-Authors: B. Vidhya, K. N. Srinivas
    Abstract:

    This research work, titled Small Scale Wind Generation System, reported in part I and part II, proposes modeling, analysis and control of a small scale wind energy conversion system employing a direct driven Flux Reversal Generator (FRG) connected to the  micro grid through a quasi-Z-source inverter (QZSI). The application of QZSI using  FRG to feed micro grid is proposed for the first time in this research work. The QZSI can realize buck/boost, inversion and power conditioning in a single stage with improved reliability. Also it features a wide range of voltage gain which is suitable for applications in wind systems, due to the fact that the wind Generator output varies widely with wind velocity. In addition, the modified space vector PWM (SVPWM) technique is proposed in this paper to satisfy the shoot-through characteristic of QZSI. This also adds to the contribution of this research work. In this part I of this full research, modelling of the small scale FRG for wind system using Finite Element Analysis (FEA) is presented.  The major parameter of FRG viz, voltage, current, torque and power are analyzed, validated and then represented in d-q model. The simulation results are validated with the analytical results. An experimental set-up to run the full procedure reported in this paper. These results form the basis for part II of this research work.

  • small scale wind generation system part i experimental verification of flux reversal Generator Block
    International Journal of Applied Power Engineering, 2017
    Co-Authors: B. Vidhya, K. N. Srinivas
    Abstract:

    This research work, titled Small Scale Wind Generation System, reported in part I and part II, proposes modeling, analysis and control of a small scale wind energy conversion system employing a direct driven Flux Reversal Generator (FRG) connected to the  micro grid through a quasi-Z-source inverter (QZSI). The application of QZSI using  FRG to feed micro grid is proposed for the first time in this research work. The QZSI can realize buck/boost, inversion and power conditioning in a single stage with improved reliability. Also it features a wide range of voltage gain which is suitable for applications in wind systems, due to the fact that the wind Generator output varies widely with wind velocity. In addition, the modified space vector PWM (SVPWM) technique is proposed in this paper to satisfy the shoot-through characteristic of QZSI. This also adds to the contribution of this research work. In this part I of this full research, modelling of the small scale FRG for wind system using Finite Element Analysis (FEA) is presented.  The major parameter of FRG viz, voltage, current, torque and power are analyzed, validated and then represented in d-q model. The simulation results are validated with the analytical results. An experimental set-up to run the full procedure reported in this paper. These results form the basis for part II of this research work.

Mohamed A. Enany - One of the best experts on this subject based on the ideXlab platform.

  • Proposing and evaluation of MPPT algorithms for high-performance stabilized WIND turbine driven DFIG
    Alexandria Engineering Journal, 2020
    Co-Authors: Marwa M. Ahmed, Wael S. Hassanein, Nadia A. Elsonbaty, Mohamed A. Enany
    Abstract:

    Abstract The Doubly Fed Induction Generator based Wind Turbine (WT-DFIG) suffers from instability while steady-state operation if improperly controlled. This paper proposes and evaluates three Scalar strategies that ensure Maximum Power Point Tracking (MPPT) and stabilize the WT-DFIG. Both of the Generator electromagnetic torque – speed and the wind turbine mechanical torque-speed characteristics are taken into account. The DFIG steady-state stabilized MPPT characteristic is first examined and evaluated in conjunction with the ratio of the stator voltage to rotor voltage magnitude. Then a scalar control strategy based on Rotor Voltage and Frequency Magnitude Control (RVFMC) function as related to the selected stator voltage is proposed. Stabilized MPPT for any specified speed range at different operating conditions are presented. For DFIG steady state instability declaration, its developed torque is defined in forms of two main components, specified as induction torque components and synchronous torque components. The induction torque impacts on stability while MPPT at steady state is presented, and further approved by the WT-DFIG MPPT dynamic model. The three Scalar MPPT control algorithms are constructed based on a constrained Rotor Voltage Angle (RVA). The first one deal with maximizing the synchronous developed power (MSP), the second strategy optimizes the synchronous power to achieve higher stability at higher power capability (OSP) and the third strategy deals with gaining higher power at maximum efficiency (ME). The RVA is the shift angle with the stator voltage which may be considered as a load angle has been defined for each algorithm. Detailed performance characteristics are presented, compared and evaluated to recognize the gained power ratio, stability, and efficiency enhancement. The proposed techniques implementation is explained; the RVC controller design and a simplified Block diagram of the prescribed independent voltage and frequency reference Generator Block diagram are provided.

Pravin Dakhole - One of the best experts on this subject based on the ideXlab platform.

  • Design and simulation of single layered Logic Generator Block using Quantum Dot Cellular Automata
    2015 International Conference on Pervasive Computing (ICPC), 2015
    Co-Authors: Manisha G. Waje, Pravin Dakhole
    Abstract:

    Quantum Dot Cellular Automata has attracted a lot of attention due to its extremely small feature size and ultra low power consumption. It is a possible alternative for transistor based technology. This paper presents the Single Layered design and construction of Logic Generator Block which generates the logic of various devices like 1-Bit comparator, 1- Bit Half Adder, 1-Bit Half Subtractor, AND gate, XOR gate, NOR gate and XNOR gate. Proposed design is cost effective and easy to fabricate due to absence of wire crossings. This Block can be made more efficient by using control lines. Depending on individual value on control line, logic of individual device will be generated. QCADesigner 2.0.3 tool is used for design and simulation of Logic Generator Block.

Mani Husha - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic Modeling and Simulation of a Hybrid Solar Thermal Power Plant
    2019
    Co-Authors: Surende Kannaiya, Sharad Hartiya, Mani Husha
    Abstract:

    A solar thermal power plant presents an environmentally friendly process for producing power. However, due to diurnal and seasonal variations in the availability of solar radiation, as well as uncertainty caused by factors such as cloud cover, efficient operation of a solar thermal power plant is a challenging task. Availability of a dynamic model which represents the process behavior in face of these inevitable variations is a prerequisite for efficiently operating the plant. In this work, we develop a dynamic model for a hybrid solar thermal power plant operating in India. The plant uses two different technologies for solar power collection, namely, a Parabolic Trough Collector (PTC) for heating oil and a Linear Fresnel Reflector (LFR) for generating direct steam. Superheated steam, generated using heat exchangers, drives the turbine-Generator Block to generate electricity. The dynamic model is based on first-principles models of various components in the plant, such as PTC, LFR, heat exchangers, and storage tanks, and captures the integrated nature of plant. The model also incorporates heat losses to quantify night time cooling. A preliminary validation of the developed plant model is also presented using routine field data. The model is then used to simulate the dynamic operation of the plant for two case studies: (i) a two day simulation with field solar insolation profiles corresponding to summer days and (ii) a single day case study with cloud cover. The performances of the PTC and LFR fields as well as the overall plant were quantified and compared using various metrics. The case studies involved cold and warm startup scenarios and highlighted the impact of these initial conditions on the plant performance. The proposed dynamic model can be used for designing optimal operation and advanced control strategies