The Experts below are selected from a list of 86229 Experts worldwide ranked by ideXlab platform

Pio A Aguirre - One of the best experts on this subject based on the ideXlab platform.

  • optimization of the integration among traditional fossil fuels clean energies renewable sources and energy storages an milp model for the coupled electric power hydraulic and natural gas systems
    Computers & Industrial Engineering, 2020
    Co-Authors: Gonzalo E Alvarez, Marian G Marcovecchio, Pio A Aguirre
    Abstract:

    Abstract This paper presents a Mixed Integer Linear Programming (MILP) formulation to optimize the Security Constrained Unit Commitment problem, integrating three areas: electrical, hydraulic, and natural gas. The model considers thermal generation from natural gas units and other fossil fuel units, hydraulic generation, pumped storage units, hydraulic head effects for the generation and pumping modes, power Flow Transmission constraints, natural gas supply and transportation, gas Flows in single pipelines and pipelines with compressors, and line-pack for gas pipelines. The original model is hard to solve due to nonconvexities and nonlinearities of several constraints, but with the application of correct linearization techniques, accurate MILP models can be efficiently obtained and solved. The proposed MILP model differs from most of other approaches available in the literature in that it applies to several types of power generation, and includes a large number of real characteristics of the integrated system. A modified IEEE 31-bus with 2 pumped stations and 7-node natural gas system is presented to illustrate the effectiveness of the proposed model; test cases are solved by commercial package Gurobi. Test results indicate that the proposed approach provides feasible solutions with convenient CPU times. The obtained results are discussed and analyzed through simple graphs.

Marian G Marcovecchio - One of the best experts on this subject based on the ideXlab platform.

  • optimization of the integration among traditional fossil fuels clean energies renewable sources and energy storages an milp model for the coupled electric power hydraulic and natural gas systems
    Computers & Industrial Engineering, 2020
    Co-Authors: Gonzalo E Alvarez, Marian G Marcovecchio, Pio A Aguirre
    Abstract:

    Abstract This paper presents a Mixed Integer Linear Programming (MILP) formulation to optimize the Security Constrained Unit Commitment problem, integrating three areas: electrical, hydraulic, and natural gas. The model considers thermal generation from natural gas units and other fossil fuel units, hydraulic generation, pumped storage units, hydraulic head effects for the generation and pumping modes, power Flow Transmission constraints, natural gas supply and transportation, gas Flows in single pipelines and pipelines with compressors, and line-pack for gas pipelines. The original model is hard to solve due to nonconvexities and nonlinearities of several constraints, but with the application of correct linearization techniques, accurate MILP models can be efficiently obtained and solved. The proposed MILP model differs from most of other approaches available in the literature in that it applies to several types of power generation, and includes a large number of real characteristics of the integrated system. A modified IEEE 31-bus with 2 pumped stations and 7-node natural gas system is presented to illustrate the effectiveness of the proposed model; test cases are solved by commercial package Gurobi. Test results indicate that the proposed approach provides feasible solutions with convenient CPU times. The obtained results are discussed and analyzed through simple graphs.

Aguirre, Pio Antonio - One of the best experts on this subject based on the ideXlab platform.

  • Optimization of the integration among traditional fossil fuels, clean energies, renewable sources, and energy storages: An MILP model for the coupled electric power, hydraulic, and natural gas systems
    'Elsevier BV', 2019
    Co-Authors: Alvarez, Gonzalo Exequiel, Marcovecchio, Marian Gabriela, Aguirre, Pio Antonio
    Abstract:

    This paper presents a Mixed Integer Linear Programming (MILP) formulation to optimize the Security Constrained Unit Commitment problem, integrating three areas: electrical, hydraulic, and natural gas. The model considers thermal generation from natural gas units and other fossil fuel units, hydraulic generation, pumped storage units, hydraulic head effects for the generation and pumping modes, power Flow Transmission constraints, natural gas supply and transportation, gas Flows in single pipelines and pipelines with compressors, and line-pack for gas pipelines. The original model is hard to solve due to nonconvexities and nonlinearities of several constraints, but with the application of correct linearization techniques, accurate MILP models can be efficiently obtained and solved. The proposed MILP model differs from most of other approaches available in the literature in that it applies to several types of power generation, and includes a large number of real characteristics of the integrated system. A modified IEEE 31-bus with 2 pumped stations and 7-node natural gas system is presented to illustrate the effectiveness of the proposed model; test cases are solved by commercial package Gurobi. Test results indicate that the proposed approach provides feasible solutions with convenient CPU times. The obtained results are discussed and analyzed through simple graphs.Fil: Alvarez, Gonzalo Exequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Marcovecchio, Marian Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina. Universidad Nacional del Litoral; ArgentinaFil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina. Universidad Nacional del Litoral; Argentin

W.h. Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Vibrational Power Flow Input and Transmission in a Circular Cylindrical Shell Filled with Fluid
    Journal of Sound and Vibration, 2000
    Co-Authors: M. B. Xu, W.h. Zhang
    Abstract:

    In this paper, the characteristics of vibrational power Flow in an infinite elastic circular cylindrical shell filled with fluid are investigated. The Flugge thin shell theory and Helmholtz equation are employed respectively in analyzing the wave motion in the shell wall and the sound field in the fluid. The coupling condition on the inner surface of the shell wall is introduced to obtain the vibrational equation of this coupled system. By using Fourier transform and its inverse transform, the input power into the coupled system excited by a driving force is studied. Along the shell axial direction, the Transmission of the power Flow carried by different internal forces of the shell wall and by the fluid is also studied. The results show that the input power Flow and the power Flow Transmission depend mainly upon the characteristics of the free propagating waves in this coupled system.

  • the effect of wall joint on the vibrational power Flow propagation in a fluid filled shell
    Journal of Sound and Vibration, 1999
    Co-Authors: M. B. Xu, Xiaoming Zhang, W.h. Zhang
    Abstract:

    A fluid-filled cylindrical shell comprising a wall joint is investigated by using the concept of vibrational power Flow. The power Flow in the contained fluid and in the shell wall of this fluid-filled elastic cylindrical shell is studied. The Transmission loss of vibrational power Flow through the wall joint is studied and an analysis of power Flow Transmission and reflection at the joint in fluid-filled shells is presented. Material stiffness of the joint and frequency are two important factors that are found to strongly influence the results. It is hoped that the analysis will shed some light on the control of vibrational propagation in shells filled with fluid.

Gonzalo E Alvarez - One of the best experts on this subject based on the ideXlab platform.

  • optimization of the integration among traditional fossil fuels clean energies renewable sources and energy storages an milp model for the coupled electric power hydraulic and natural gas systems
    Computers & Industrial Engineering, 2020
    Co-Authors: Gonzalo E Alvarez, Marian G Marcovecchio, Pio A Aguirre
    Abstract:

    Abstract This paper presents a Mixed Integer Linear Programming (MILP) formulation to optimize the Security Constrained Unit Commitment problem, integrating three areas: electrical, hydraulic, and natural gas. The model considers thermal generation from natural gas units and other fossil fuel units, hydraulic generation, pumped storage units, hydraulic head effects for the generation and pumping modes, power Flow Transmission constraints, natural gas supply and transportation, gas Flows in single pipelines and pipelines with compressors, and line-pack for gas pipelines. The original model is hard to solve due to nonconvexities and nonlinearities of several constraints, but with the application of correct linearization techniques, accurate MILP models can be efficiently obtained and solved. The proposed MILP model differs from most of other approaches available in the literature in that it applies to several types of power generation, and includes a large number of real characteristics of the integrated system. A modified IEEE 31-bus with 2 pumped stations and 7-node natural gas system is presented to illustrate the effectiveness of the proposed model; test cases are solved by commercial package Gurobi. Test results indicate that the proposed approach provides feasible solutions with convenient CPU times. The obtained results are discussed and analyzed through simple graphs.