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首页> 外文期刊>Power Engineering Review, IEEE >Modeling Generating Unit Size and Economies of Scale in Capacity Expansion with an Efficient, Real Number Representation of Capacity Additions
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Modeling Generating Unit Size and Economies of Scale in Capacity Expansion with an Efficient, Real Number Representation of Capacity Additions

机译：用容量附加的有效，实数表示法对容量扩展中的发电单位规模和规模经济进行建模

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摘要

The impact of generating unit size on system reliability and production costs is an important concern in utility capacity planning. Previously developed planning tools that model economies of scale allow decision variables that represent capacity additions to take integer values only. The integer restriction limits the choice of optimization algorithms to dynamic or integer programing techniques which are computationally too burdensome and suitable only for analyzing a few capacity expansion options at a time. A new algorithm based on generalized Benders' decomposition and probabilistic production costing is developed here. To enhance computational efficiency, it utilizes real number variables for capacity addition decisions, at the same time, however, it properly models fractional and multiple unit capacity additions to account for economies of scale and the proper impact of units sizes on system reliability and production costs.
机译：机组尺寸对系统可靠性和生产成本的影响是公用事业容量规划中的重要问题。先前开发的用于规模经济建模的计划工具允许代表容量增加的决策变量仅采用整数值。整数限制将优化算法的选择限制为动态或整数编程技术，这些技术在计算上过于繁琐，并且仅适合一次分析几个容量扩展选项。在此开发了一种基于广义Benders分解和概率生产成本的新算法。为了提高计算效率，它利用实数变量来决定容量增加，但是，它会适当地对分数和多个单元容量增加进行建模，以考虑规模经济以及单元大小对系统可靠性和生产成本的适当影响。

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