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THE USE OF EVOLUTIONARY ALGORITHMS TO OPTIMIZE INTELLIGENT BUILDINGS ELECTRICITY SUPPLY

机译:运用进化算法优化智能建筑的电源

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摘要

This paper formulates a unit commitment optimization problem for renewable energy sources distributed in a micro-grid formed by a complex of intelligent buildings of both office and residential characters, including a wide range of amenities. We present a general description of the solution of this task using the simulated annealing heuristic optimization technique. The experiment was processed in the specialized computer program. For comparison, Appendix A of the article describes the Lagrange multipliers optimization method as the conventional alternative to the used heuristic technique. A description of the concept of intelligent buildings is provided in Appendix B.
机译:本文提出了针对微电网中分布的可再生能源的单位承诺优化问题,该微电网是由具有办公和住宅特色的智能建筑群(包括各种便利设施)组成的。我们介绍了使用模拟退火启发式优化技术解决此任务的方法的一般说明。实验是在专用计算机程序中处理的。为了进行比较,本文的附录A描述了拉格朗日乘数优化方法,作为使用的启发式技术的常规替代方法。附录B中提供了有关智能建筑概念的描述。

著录项

  • 来源
    《Neural Network World》 |2013年第5期|465-481|共17页
  • 作者

    Bohumir Garlik; Milos Krivan;

  • 作者单位

    Department of Microenvironmental and Building Services Engineering, Czech Technical University in Prague, Thakurova 7, 160 00 Prague 6, Czech Republic Brno University of Technology, Faculty of Electrical Engineering and Communication, Technicka 3058/10, 616 00 Brno, Czech Republic;

    Department of Management and Artificial Intelligence, Research Institute for Intelligence Buildings, Drobneho 16, 602 00 Brno, Czech Republic;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Simulated annealing; unit commitment; intelligent building; micro grid;

    机译:模拟退火;单位承诺;智能建筑;微格;

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