The Experts below are selected from a list of 35583 Experts worldwide ranked by ideXlab platform

Marcello Pucci - One of the best experts on this subject based on the ideXlab platform.

  • induction machines based wind generators with neural maximum power point tracking and minimum Losses techniques
    IEEE Transactions on Industrial Electronics, 2016
    Co-Authors: Maria Carmela Di Piazza, Marcello Pucci
    Abstract:

    This paper presents an induction machine (IM)-based wind generation unit with integrated maximum power point tracking (MPPT), Electric Losses minimization technique (ELMT), and discontinuous pulsewidth modulation (D-PWM) features. The target is the development of a highly efficient wind generation unit with high dynamic performance, which is able not only to rapidly track the maximum generable power according to any wind speed variation but also to minimize, at the same time, the converter's and the machine's Losses. The proposed wind generator (WG) is based on a back-to-back power converter topology with two voltage source inverters and contains previously developed neural-based MPPT, as well as an original version of an ELMT. The proposed wind generation unit has been experimentally tested on a suitably developed test set-up. Results clearly show that the integration of ELMT+D-PWM into the MPPT-based WG control permits the active power injected into the power grid to be increased up to 37.5% at high wind speeds and up to 240% at low wind speeds.

  • induction machines sensors less wind generator with integrated intelligent maximum power point tracking and Electric Losses minimisation technique
    Iet Control Theory and Applications, 2015
    Co-Authors: Marcello Pucci
    Abstract:

    This study presents a high-performance wind generation system with induction machine (IM), specifically devised with the target of maximising the efficiency of the electromechanical conversion, and contemporary minimising the number of the system sensors and their cost. To this aim, the control system has been integrated, from one side, with an intelligent maximum power point tracking (MPPT) technique, so to make the generator track the power available in the wind, from the other side with techniques for the minimisation of the Electrical Losses (ELMT). Particularly, the power converters' switching Losses have been reduced adopting a discontinuous pulsewidth modulation, while the IM overall Losses have been reduced by a suitable Electric Losses minimisation technique. Contemporary, to reduce costs and increase the reliability of the system, the system has been devised as a fully sensors-less generation unit, meaning that both the wind speed and the machine speed sensors are not present. The anemometer has been substituted by the wind speed estimator integrated in the MPPT, based on the growing neural gas (GNG) network. The encoder has been substituted with an intelligent IM speed estimator, the so called MCA EXIN + reduced order observer (ROO). The performance of the adopted technique has been verified experimentally on a suitably devised test set-up.

Maria Carmela Di Piazza - One of the best experts on this subject based on the ideXlab platform.

  • induction machines based wind generators with neural maximum power point tracking and minimum Losses techniques
    IEEE Transactions on Industrial Electronics, 2016
    Co-Authors: Maria Carmela Di Piazza, Marcello Pucci
    Abstract:

    This paper presents an induction machine (IM)-based wind generation unit with integrated maximum power point tracking (MPPT), Electric Losses minimization technique (ELMT), and discontinuous pulsewidth modulation (D-PWM) features. The target is the development of a highly efficient wind generation unit with high dynamic performance, which is able not only to rapidly track the maximum generable power according to any wind speed variation but also to minimize, at the same time, the converter's and the machine's Losses. The proposed wind generator (WG) is based on a back-to-back power converter topology with two voltage source inverters and contains previously developed neural-based MPPT, as well as an original version of an ELMT. The proposed wind generation unit has been experimentally tested on a suitably developed test set-up. Results clearly show that the integration of ELMT+D-PWM into the MPPT-based WG control permits the active power injected into the power grid to be increased up to 37.5% at high wind speeds and up to 240% at low wind speeds.

D K Khatod - One of the best experts on this subject based on the ideXlab platform.

  • optimal planning of distributed generation systems in distribution system a review
    Renewable & Sustainable Energy Reviews, 2012
    Co-Authors: Rajkumar Viral, D K Khatod
    Abstract:

    This paper attempts to present the state of art of research work carried out on the optimal planning of distributed generation (DG) systems under different aspects. There are number of important issues to be considered while carrying out studies related to the planning and operational aspects of DG. The planning of the Electric system with the presence of DG requires the definition of several factors, such as: the best technology to be used, the number and the capacity of the units, the best location, the type of network connection, etc. The impact of DG in system operating characteristics, such as Electric Losses, voltage profile, stability and reliability needs to be appropriately evaluated. For that reason, the use of an optimization method capable of indicating the best solution for a given distribution network can be very useful for the system planning engineer, when dealing with the increase of DG penetration that is happening nowadays. The selection of the best places for installation and the preferable size of the DG units in large distribution systems is a complex combinatorial optimization problem.

  • optimal planning of distributed generation systems in distribution system a review
    Renewable & Sustainable Energy Reviews, 2012
    Co-Authors: Rajkumar Viral, D K Khatod
    Abstract:

    Abstract This paper attempts to present the state of art of research work carried out on the optimal planning of distributed generation (DG) systems under different aspects. There are number of important issues to be considered while carrying out studies related to the planning and operational aspects of DG. The planning of the Electric system with the presence of DG requires the definition of several factors, such as: the best technology to be used, the number and the capacity of the units, the best location, the type of network connection, etc. The impact of DG in system operating characteristics, such as Electric Losses, voltage profile, stability and reliability needs to be appropriately evaluated. For that reason, the use of an optimization method capable of indicating the best solution for a given distribution network can be very useful for the system planning engineer, when dealing with the increase of DG penetration that is happening nowadays. The selection of the best places for installation and the preferable size of the DG units in large distribution systems is a complex combinatorial optimization problem. This paper aims at providing a review of the relevant aspects related to DG and its impact that DG might have on the operation of distributed networks. This paper covers the review of basics of DG, DG definition, current status of DG technologies, potential advantages and disadvantages, review for optimal placement of DG systems, optimizations techniques/methodologies used in optimal planning of DG in distribution systems. An attempt has been made to judge that which methodologies/techniques are suitable for optimal placement of DG systems based on the available literature and detail comparison(s) of each one.

J R Mcdonald - One of the best experts on this subject based on the ideXlab platform.

  • dynamic model of a lead acid battery for use in a domestic fuel cell system
    Journal of Power Sources, 2006
    Co-Authors: Matthias Dürr, Susan Gair, Andrew Cruden, J R Mcdonald
    Abstract:

    This paper presents a review of existing dynamic Electrical battery models and subsequently describes a new mathematical model of a lead acid battery, using a non-linear function for the maximum available energy related to the battery discharge rate. The battery state of charge (SOC) is expressed in a look-up table relative to the battery open circuit voltage (VOC). This look-up table has been developed through low discharge experiments of the battery modelled. Further, both the internal resistance and self-discharge resistance of the battery are subsequently expressed as functions of the open circuit voltage. By using an Electrical model with these characteristics and a temperature compensation element to model different rates of charge and discharge, a relatively simple and accurate battery model has been developed. The new model takes into account battery storage capacity, internal resistance, self-discharge resistance, the Electric Losses and the temperature dependence of a lead acid battery. It is shown in this paper how the necessary parameters for the model were found. The battery modelled was a Hawker Genesis 42 Ah rated gelled lead acid battery. The simulation results of the new model are compared with test data recorded from battery discharge tests, which validate the accuracy of the new model.

Rajkumar Viral - One of the best experts on this subject based on the ideXlab platform.

  • optimal planning of distributed generation systems in distribution system a review
    Renewable & Sustainable Energy Reviews, 2012
    Co-Authors: Rajkumar Viral, D K Khatod
    Abstract:

    This paper attempts to present the state of art of research work carried out on the optimal planning of distributed generation (DG) systems under different aspects. There are number of important issues to be considered while carrying out studies related to the planning and operational aspects of DG. The planning of the Electric system with the presence of DG requires the definition of several factors, such as: the best technology to be used, the number and the capacity of the units, the best location, the type of network connection, etc. The impact of DG in system operating characteristics, such as Electric Losses, voltage profile, stability and reliability needs to be appropriately evaluated. For that reason, the use of an optimization method capable of indicating the best solution for a given distribution network can be very useful for the system planning engineer, when dealing with the increase of DG penetration that is happening nowadays. The selection of the best places for installation and the preferable size of the DG units in large distribution systems is a complex combinatorial optimization problem.

  • optimal planning of distributed generation systems in distribution system a review
    Renewable & Sustainable Energy Reviews, 2012
    Co-Authors: Rajkumar Viral, D K Khatod
    Abstract:

    Abstract This paper attempts to present the state of art of research work carried out on the optimal planning of distributed generation (DG) systems under different aspects. There are number of important issues to be considered while carrying out studies related to the planning and operational aspects of DG. The planning of the Electric system with the presence of DG requires the definition of several factors, such as: the best technology to be used, the number and the capacity of the units, the best location, the type of network connection, etc. The impact of DG in system operating characteristics, such as Electric Losses, voltage profile, stability and reliability needs to be appropriately evaluated. For that reason, the use of an optimization method capable of indicating the best solution for a given distribution network can be very useful for the system planning engineer, when dealing with the increase of DG penetration that is happening nowadays. The selection of the best places for installation and the preferable size of the DG units in large distribution systems is a complex combinatorial optimization problem. This paper aims at providing a review of the relevant aspects related to DG and its impact that DG might have on the operation of distributed networks. This paper covers the review of basics of DG, DG definition, current status of DG technologies, potential advantages and disadvantages, review for optimal placement of DG systems, optimizations techniques/methodologies used in optimal planning of DG in distribution systems. An attempt has been made to judge that which methodologies/techniques are suitable for optimal placement of DG systems based on the available literature and detail comparison(s) of each one.