Solution Procedure

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P. W. Lehn - One of the best experts on this subject based on the ideXlab platform.

  • steady state simulation methods of closed loop power converter systems a systematic Solution Procedure
    IEEE Transactions on Circuits and Systems, 2012
    Co-Authors: Kuo Lung Lian, P. W. Lehn
    Abstract:

    While a host of analysis techniques exist to perform steady-state analysis of open-loop converter systems, Solutions for close-loop converter systems are distinctly more challenging to obtain. Analysis is done either via computationally intensive time-domain simulation or through reliance on a disconnected collection of published iteration techniques. Moreover, most of these iteration techniques deal with a system containing only one or two converters. This is not adequate to deal with a smart grid or microgrid system, which consists of multiple (more than two) converters. This paper proposes a generalized and systematic Solution Procedure to obtain the steady state of a system containing multiple closed-loop power converters, in a computationally efficient manner. The Solution Procedure consists of a general five step approach that can easily be applied to a wide variety of power converter systems. It is shown that numerous previously proposed methods may be viewed as specific implementations of the generalized systematic Procedure. A new Solution approach, suitable for analysis of tightly coupled multiconverter networks, is developed based on the generalized Solution Procedure. Results of the new approach are validated against PSCAD/EMTDC simulations for a representative multiconverter network.

  • Steady-State Simulation Methods of Closed-Loop Power Converter Systems—A Systematic Solution Procedure
    IEEE Transactions on Circuits and Systems I: Regular Papers, 2012
    Co-Authors: Kuo Lung Lian, P. W. Lehn
    Abstract:

    While a host of analysis techniques exist to perform steady-state analysis of open-loop converter systems, Solutions for close-loop converter systems are distinctly more challenging to obtain. Analysis is done either via computationally intensive time-domain simulation or through reliance on a disconnected collection of published iteration techniques. Moreover, most of these iteration techniques deal with a system containing only one or two converters. This is not adequate to deal with a smart grid or microgrid system, which consists of multiple (more than two) converters. This paper proposes a generalized and systematic Solution Procedure to obtain the steady state of a system containing multiple closed-loop power converters, in a computationally efficient manner. The Solution Procedure consists of a general five step approach that can easily be applied to a wide variety of power converter systems. It is shown that numerous previously proposed methods may be viewed as specific implementations of the generalized systematic Procedure. A new Solution approach, suitable for analysis of tightly coupled multiconverter networks, is developed based on the generalized Solution Procedure. Results of the new approach are validated against PSCAD/EMTDC simulations for a representative multiconverter network.

Kuo Lung Lian - One of the best experts on this subject based on the ideXlab platform.

  • steady state simulation methods of closed loop power converter systems a systematic Solution Procedure
    IEEE Transactions on Circuits and Systems, 2012
    Co-Authors: Kuo Lung Lian, P. W. Lehn
    Abstract:

    While a host of analysis techniques exist to perform steady-state analysis of open-loop converter systems, Solutions for close-loop converter systems are distinctly more challenging to obtain. Analysis is done either via computationally intensive time-domain simulation or through reliance on a disconnected collection of published iteration techniques. Moreover, most of these iteration techniques deal with a system containing only one or two converters. This is not adequate to deal with a smart grid or microgrid system, which consists of multiple (more than two) converters. This paper proposes a generalized and systematic Solution Procedure to obtain the steady state of a system containing multiple closed-loop power converters, in a computationally efficient manner. The Solution Procedure consists of a general five step approach that can easily be applied to a wide variety of power converter systems. It is shown that numerous previously proposed methods may be viewed as specific implementations of the generalized systematic Procedure. A new Solution approach, suitable for analysis of tightly coupled multiconverter networks, is developed based on the generalized Solution Procedure. Results of the new approach are validated against PSCAD/EMTDC simulations for a representative multiconverter network.

  • Steady-State Simulation Methods of Closed-Loop Power Converter Systems—A Systematic Solution Procedure
    IEEE Transactions on Circuits and Systems I: Regular Papers, 2012
    Co-Authors: Kuo Lung Lian, P. W. Lehn
    Abstract:

    While a host of analysis techniques exist to perform steady-state analysis of open-loop converter systems, Solutions for close-loop converter systems are distinctly more challenging to obtain. Analysis is done either via computationally intensive time-domain simulation or through reliance on a disconnected collection of published iteration techniques. Moreover, most of these iteration techniques deal with a system containing only one or two converters. This is not adequate to deal with a smart grid or microgrid system, which consists of multiple (more than two) converters. This paper proposes a generalized and systematic Solution Procedure to obtain the steady state of a system containing multiple closed-loop power converters, in a computationally efficient manner. The Solution Procedure consists of a general five step approach that can easily be applied to a wide variety of power converter systems. It is shown that numerous previously proposed methods may be viewed as specific implementations of the generalized systematic Procedure. A new Solution approach, suitable for analysis of tightly coupled multiconverter networks, is developed based on the generalized Solution Procedure. Results of the new approach are validated against PSCAD/EMTDC simulations for a representative multiconverter network.

Cheng-i Chen - One of the best experts on this subject based on the ideXlab platform.

  • An Accurate Solution Procedure for Calculation of Voltage Flicker Components
    IEEE Transactions on Industrial Electronics, 2014
    Co-Authors: Cheng-i Chen, Yeong-chin Chen, Yung-ruei Chang
    Abstract:

    Voltage flicker is one of many serious power quality disturbances, which would deteriorate the stability and operation efficiency of a power system. Effective evaluation of flicker severity plays an important role in the monitoring and control of developing advanced metering infrastructure. Since the evaluation process for voltage flicker is complicated, some inaccurate intermediate results may give rise to the propagation of estimation errors. Therefore, an accurate Solution Procedure for the calculation of voltage flicker components is proposed in this paper. With the extraction technique for envelope signal and high-frequency reSolution mechanism for flicker spectral analysis, the superior performance to achieve the instantaneous flicker severity evaluation can be obtained.

  • An Efficient Prony-Based Solution Procedure for Tracking of Power System Voltage Variations
    IEEE Transactions on Industrial Electronics, 2013
    Co-Authors: Cheng-i Chen, Gary W. Chang
    Abstract:

    Magnitude and duration are important characteristics when performing tracking of voltage variations. Accurate characterization of voltage variations relies much on the precise identification of frequencies of the measured signals. Although the Prony's method can provide high reSolution for frequency estimation, the computational burden in the root-finding process is a crucial problem. A modified Prony-based Solution Procedure for voltage variation tracking is proposed in this paper. By providing a set of filters, the transfer polynomial with high estimation order in Prony's model can be efficiently reduced. The performance of the proposed method is validated by testing the generated and actual measured voltage signals. Results are compared with those obtained by typical Prony's method, namely, fast Fourier transform, adaptive linear neural network, and Kalman filtering. It shows that the proposed method is more accurate regardless of interferences of the power system frequency deviation, harmonics, and interharmonics, where both voltage variations and harmonics can be simultaneously detected.

  • A Two-Stage Solution Procedure for Digital Power Metering According to IEEE Standard 1459-2010 in Single-Phase System
    IEEE Transactions on Industrial Electronics, 2013
    Co-Authors: Cheng-i Chen
    Abstract:

    This paper describes an artificial neural network (ANN)-based method for the design of a digital power meter, which is able to evaluate the power quantities suggested in IEEE Standard 1459-2010 for a single-phase system. The Solution Procedure contains two stages. In the first stage, the spectral analysis of voltage and current signals is performed separately with the ANN-based method in a real-time manner. Then, the power quantities and evaluation indices are calculated in the second stage according to the requirements in IEEE Standard 1459-2010. Finally, a personal-computer-based instrument implemented with LabVIEW is developed to verify the usefulness of the proposed mechanism.

Tatsushi Nishi - One of the best experts on this subject based on the ideXlab platform.

  • IEEM - A Solution Procedure based on Lagrangian relaxation for supply chain planning problem with CSR investment
    2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2015
    Co-Authors: Takuya Aoyama, Tatsushi Nishi
    Abstract:

    In this paper, we consider a supply chain planning problem for a single manufacturer with corporate social responsibility (CSR) investment decision under uncertain demand. The activity of CSR is modeled as the investment to customers. In the mathematical model, we assume that the average demand increases if the investment of CSR is increased. The objective function is the total profit including the piecewise linear investment costs. The supply chain planning problem is formulated as a mixed integer nonlinear programming problem. An efficient Solution Procedure based on Lagrangian relaxation is developed. The effectiveness of the proposed method is confirmed from computational experiments.

  • A Solution Procedure based on Lagrangian relaxation for supply chain planning problem with CSR investment
    2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2015
    Co-Authors: Takuya Aoyama, Tatsushi Nishi
    Abstract:

    In this paper, we consider a supply chain planning problem for a single manufacturer with corporate social responsibility (CSR) investment decision under uncertain demand. The activity of CSR is modeled as the investment to customers. In the mathematical model, we assume that the average demand increases if the investment of CSR is increased. The objective function is the total profit including the piecewise linear investment costs. The supply chain planning problem is formulated as a mixed integer nonlinear programming problem. An efficient Solution Procedure based on Lagrangian relaxation is developed. The effectiveness of the proposed method is confirmed from computational experiments.

Kaan Ozbay - One of the best experts on this subject based on the ideXlab platform.

  • evacuation planning with endogenous transportation network degradations a stochastic cell based model and Solution Procedure
    Networks and Spatial Economics, 2015
    Co-Authors: Jian Li, Kaan Ozbay
    Abstract:

    Capturing the impact of uncertain events in emergency evacuation time estimation is an important issue for public officials to avoid unexpected delays and related losses of life and property. However, most of the current studies in evacuation planning only focus on exogenous uncertainties, such as flooding damage in a hurricane, but ignore uncertainties caused by endogenously determined risks, or so called flow-related risks. This paper proposes an analytical framework along with an efficient Solution methodology to evaluate the impact of endogenously determined risks in order to estimate evacuation time. We incorporate the probability function of endogenously determined risks in a cell-based macroscopic evacuation model. A network flow algorithm based on the sample average approximation approach is used as part of the Solution Procedure. Finally, a sample network is used to demonstrate the salient features of the proposed stochastic model and Solution Procedure. Copyright Springer Science+Business Media New York 2015