The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform

H L Wang - One of the best experts on this subject based on the ideXlab platform.

  • an improved backward forward sweep load flow algorithm for radial distribution systems
    IEEE Transactions on Power Systems, 2007
    Co-Authors: G W Chang, S Y Chu, H L Wang
    Abstract:

    This letter presents an improved backward/ forward sweep algorithm for three-phase load-flow analysis of radial distribution systems. In the backward sweep, Kirchhoff's Current Law and Kirchhoff's Voltage Law are used to calculate the upstream bus voltage of each line or a transformer branch. Then, the linear proportional principle is adopted to find the ratios of the real and imaginary components of the specified voltage to those of the calculated voltage at the substation bus. In the forward sweep, the voltage at each downstream bus is then updated by the real and imaginary components of the calculated bus voltage multiplying with the corresponding ratio. The procedure stops after the mismatch of the calculated and the specified voltages at the substation is less than a Convergence Tolerance. The proposed algorithm is tested with three IEEE benchmark distribution systems. Results show that the algorithm is accurate and computationally efficient in comparing with two other commonly used methods

  • An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems
    IEEE Transactions on Power Systems, 2007
    Co-Authors: G W Chang, S Y Chu, H L Wang
    Abstract:

    This letter presents an improved backward/ forward sweep algorithm for three-phase load-flow analysis of radial distribution systems. In the backward sweep, Kirchhoff's Current Law and Kirchhoff's Voltage Law are used to calculate the upstream bus voltage of each line or a transformer branch. Then, the linear proportional principle is adopted to find the ratios of the real and imaginary components of the specified voltage to those of the calculated voltage at the substation bus. In the forward sweep, the voltage at each downstream bus is then updated by the real and imaginary components of the calculated bus voltage multiplying with the corresponding ratio. The procedure stops after the mismatch of the calculated and the specified voltages at the substation is less than a Convergence Tolerance. The proposed algorithm is tested with three IEEE benchmark distribution systems. Results show that the algorithm is accurate and computationally efficient in comparing with two other commonly used methods

G W Chang - One of the best experts on this subject based on the ideXlab platform.

  • an improved backward forward sweep load flow algorithm for radial distribution systems
    IEEE Transactions on Power Systems, 2007
    Co-Authors: G W Chang, S Y Chu, H L Wang
    Abstract:

    This letter presents an improved backward/ forward sweep algorithm for three-phase load-flow analysis of radial distribution systems. In the backward sweep, Kirchhoff's Current Law and Kirchhoff's Voltage Law are used to calculate the upstream bus voltage of each line or a transformer branch. Then, the linear proportional principle is adopted to find the ratios of the real and imaginary components of the specified voltage to those of the calculated voltage at the substation bus. In the forward sweep, the voltage at each downstream bus is then updated by the real and imaginary components of the calculated bus voltage multiplying with the corresponding ratio. The procedure stops after the mismatch of the calculated and the specified voltages at the substation is less than a Convergence Tolerance. The proposed algorithm is tested with three IEEE benchmark distribution systems. Results show that the algorithm is accurate and computationally efficient in comparing with two other commonly used methods

  • An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems
    IEEE Transactions on Power Systems, 2007
    Co-Authors: G W Chang, S Y Chu, H L Wang
    Abstract:

    This letter presents an improved backward/ forward sweep algorithm for three-phase load-flow analysis of radial distribution systems. In the backward sweep, Kirchhoff's Current Law and Kirchhoff's Voltage Law are used to calculate the upstream bus voltage of each line or a transformer branch. Then, the linear proportional principle is adopted to find the ratios of the real and imaginary components of the specified voltage to those of the calculated voltage at the substation bus. In the forward sweep, the voltage at each downstream bus is then updated by the real and imaginary components of the calculated bus voltage multiplying with the corresponding ratio. The procedure stops after the mismatch of the calculated and the specified voltages at the substation is less than a Convergence Tolerance. The proposed algorithm is tested with three IEEE benchmark distribution systems. Results show that the algorithm is accurate and computationally efficient in comparing with two other commonly used methods

Anna Nagurney - One of the best experts on this subject based on the ideXlab platform.

  • The Supply Chain Network Model with Freight Service Provider Competition
    Springer Series in Supply Chain Management, 2016
    Co-Authors: Anna Nagurney
    Abstract:

    With this chapter we turn to the inclusion of the behavior of freight service providers engaged in competition in supply chain networks. The manufacturing firms are profit-maximizing and provide substitutable (but not identical) products and compete in quantities in a Cournot-Nash manner. The freight service providers, which transport the products to the consumers at the demand markets, are also profit-maximizers, but compete in prices in Bertrand fashion and on quality. The consumers respond to the composition of product and freight service provision through the demand price functions, which are both quantity and quality dependent. We derive the governing equilibrium conditions of the integrated supply chain network game theory model and show that it satisfies a variational inequality problem. We then describe the underlying dynamics and provide some qualitative properties, including stability analysis. The proposed algorithmic scheme tracks, in discrete-time, the dynamic evolution of the product shipments, the quality levels, and the prices until an approximation of a stationary point (within the desired Convergence Tolerance) is achieved. Numerical examples demonstrate the modeling and computational framework.

  • a cournot nash bertrand game theory model of a service oriented internet with price and quality competition among network transport providers
    Computational Management Science, 2014
    Co-Authors: Anna Nagurney, Tilman Wolf
    Abstract:

    This paper develops a game theory model of a service-oriented Internet in which profit-maximizing service providers provide substitutable (but not identical) services and compete with the quantities of services in a Cournot–Nash manner, whereas the network transport providers, which transport the services to the users at the demand markets, and are also profit-maximizers, compete with prices in Bertrand fashion and on quality. The consumers respond to the composition of service and network provision through the demand price functions, which are both quantity and quality dependent. We derive the governing equilibrium conditions of the integrated game and show that it satisfies a variational inequality problem. We then describe the underlying dynamics, and provide some qualitative properties, including stability analysis. The proposed algorithmic scheme tracks, in discrete-time, the dynamic evolution of the service volumes, quality levels, and the prices until an approximation of a stationary point (within the desired Convergence Tolerance) is achieved. Numerical examples demonstrate the modeling and computational framework. Copyright Springer-Verlag Berlin Heidelberg 2014

  • A Cournot–Nash–Bertrand game theory model of a service-oriented Internet with price and quality competition among network transport providers
    Computational Management Science, 2013
    Co-Authors: Anna Nagurney, Tilman Wolf
    Abstract:

    This paper develops a game theory model of a service-oriented Internet in which profit-maximizing service providers provide substitutable (but not identical) services and compete with the quantities of services in a Cournot–Nash manner, whereas the network transport providers, which transport the services to the users at the demand markets, and are also profit-maximizers, compete with prices in Bertrand fashion and on quality. The consumers respond to the composition of service and network provision through the demand price functions, which are both quantity and quality dependent. We derive the governing equilibrium conditions of the integrated game and show that it satisfies a variational inequality problem. We then describe the underlying dynamics, and provide some qualitative properties, including stability analysis. The proposed algorithmic scheme tracks, in discrete-time, the dynamic evolution of the service volumes, quality levels, and the prices until an approximation of a stationary point (within the desired Convergence Tolerance) is achieved. Numerical examples demonstrate the modeling and computational framework. Copyright Springer-Verlag Berlin Heidelberg 2014

S Y Chu - One of the best experts on this subject based on the ideXlab platform.

  • an improved backward forward sweep load flow algorithm for radial distribution systems
    IEEE Transactions on Power Systems, 2007
    Co-Authors: G W Chang, S Y Chu, H L Wang
    Abstract:

    This letter presents an improved backward/ forward sweep algorithm for three-phase load-flow analysis of radial distribution systems. In the backward sweep, Kirchhoff's Current Law and Kirchhoff's Voltage Law are used to calculate the upstream bus voltage of each line or a transformer branch. Then, the linear proportional principle is adopted to find the ratios of the real and imaginary components of the specified voltage to those of the calculated voltage at the substation bus. In the forward sweep, the voltage at each downstream bus is then updated by the real and imaginary components of the calculated bus voltage multiplying with the corresponding ratio. The procedure stops after the mismatch of the calculated and the specified voltages at the substation is less than a Convergence Tolerance. The proposed algorithm is tested with three IEEE benchmark distribution systems. Results show that the algorithm is accurate and computationally efficient in comparing with two other commonly used methods

  • An Improved Backward/Forward Sweep Load Flow Algorithm for Radial Distribution Systems
    IEEE Transactions on Power Systems, 2007
    Co-Authors: G W Chang, S Y Chu, H L Wang
    Abstract:

    This letter presents an improved backward/ forward sweep algorithm for three-phase load-flow analysis of radial distribution systems. In the backward sweep, Kirchhoff's Current Law and Kirchhoff's Voltage Law are used to calculate the upstream bus voltage of each line or a transformer branch. Then, the linear proportional principle is adopted to find the ratios of the real and imaginary components of the specified voltage to those of the calculated voltage at the substation bus. In the forward sweep, the voltage at each downstream bus is then updated by the real and imaginary components of the calculated bus voltage multiplying with the corresponding ratio. The procedure stops after the mismatch of the calculated and the specified voltages at the substation is less than a Convergence Tolerance. The proposed algorithm is tested with three IEEE benchmark distribution systems. Results show that the algorithm is accurate and computationally efficient in comparing with two other commonly used methods

Foad Heidari Gandoman - One of the best experts on this subject based on the ideXlab platform.

  • fuzzy multi objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method
    Applied Soft Computing, 2019
    Co-Authors: Arabi S Nowdeh, Seyed Ehsan Razavi, Abdollah Ahmadi, Faraji I Davoudkhani, M Hadidian J Moghaddam, Seifi E Najmi, Almoataz Y. Abdelaziz, Foad Heidari Gandoman
    Abstract:

    Abstract One of methods for loss reduction and reliability improvement of radial distribution system is using of renewable energy generation. In this paper, a new optimal placement and sizing of renewable energy sources based on photovoltaic panels (PVs) and wind turbines (WTs) in the distribution network is presented with the objective of loss reduction and reliability improvement based on energy not-supplied (ENS). A multi-objective evolutionary algorithm based on fuzzy decision-making method, called the Multi-Objective Hybrid Teaching–Learning Based Optimization-Grey Wolf Optimizer (MOHTLBOGWO) is proposed to solve the optimization problem. The proposed hybrid method has a high Convergence speed and not trapped at all in local optimal. The proposed method is implemented in the form of single-objective and multi-objective on 33 and 69 bus IEEE radial distribution networks. The simulation results clear that the multi-objective optimization is a more precise approach to network utilization taking into account all objective indices than the single objective method. The results show that the proposed method has better Convergence speed and less Convergence Tolerance in achieving to best solution in comparison with TLBO and GWO methods in loss reduction, reliability improvement and increasing the net saving and also in comparison with last studies. Moreover, the results show that dispersion of the size and location of distributed renewable generation leads to a further reduction in losses and a better improvement of the reliability criterion.