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Smart-Grid Electricity Allocation via Strip Packing with Slicing

机译:通过带条包装和切片的智能电网电力分配

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摘要

One advantage of smart grids is that they can reduce the peak load by distributing electricity-demands over multiple short intervals. Finding a schedule that minimizes the peak load corresponds to a variant of a strip packing problem. Normally, for strip packing problems, a given set of axis-aligned rectangles must be packed into a fixed-width strip, and the goal is to minimize the height of the strip. The electricity-allocation application can be modelled as strip packing with slicing: each rectangle may be cut vertically into multiple slices and the slices may be packed into the strip as individual pieces. The stacking constraint forbids solutions in which a vertical line intersects two slices of the same rectangle. We give a fully polynomial time approximation scheme for this problem, as well as a practical polynomial time algorithm that slices each rectangle at most once and yields a solution of height at most 5/3 times the optimal height.
机译:智能电网的一项优势是,它们可以通过在多个短间隔内分配电力需求来降低峰值负荷。寻找使峰值负荷最小化的时间表对应于带材包装问题的一种变体。通常,对于条带包装问题,必须将给定的一组轴向对齐的矩形包装到固定宽度的条带中,并且目标是最小化条带的高度。可以将电力分配应用程序建模为带有切片的条状包装:每个矩形可以垂直切成多个切片,并且可以将这些切片包装成条状。堆叠约束禁止使用垂直线与同一矩形的两个切片相交的解决方案。我们给出了针对该问题的完全多项式时间近似方案,以及一种实用的多项式时间算法,该算法最多将每个矩形切片一次,并得出高度的解,该解的高度为最佳高度的5/3倍。

著录项

  • 来源
    《Algorithms and data structures》|2013年|25-36|共12页
  • 会议地点 London(CA)
  • 作者单位

    Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada;

    Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada;

    Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada;

    Massachusetts Institute of Technology, Cambridge, USA;

    University of Guelph, Guelph, Canada;

    Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada;

    Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada;

    Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada;

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  • 正文语种 eng
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