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Interior-point linear programming algorithm for auction methods

机译:拍卖方法的内点线性规划算法

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Interior-point programming (IP) has been applied to many power system problems because of its efficiency for big problems. This paper illustrates application of interior-point linear programming (IPLP) to auction methods. An extended algorithm of IPLP is developed and used in this paper. This extended IPLP algorithm can find the exact optimal solution (i.e., exact optimal vertex) and can recover the optimal basis. Sensitivity analysis can be performed after the optimal basis is found. The sensitivity analysis performed in this paper is increase in the bid price and increase in the flow limit of the transmission line. This extended algorithm is expanded from the affine-scaling primal algorithm. The concept used in this extended algorithm to find the optimal vertex and optimal basis is simple.
机译:内点编程(IP)已被应用到许多电力系统问题,因为它可以解决大问题。本文说明了内点线性规划(IPLP)在拍卖方法中的应用。开发并使用了IPLP的扩展算法。这种扩展的IPLP算法可以找到精确的最佳解决方案(即精确的最佳顶点)并可以恢复最佳基础。找到最佳依据后即可进行灵敏度分析。本文进行的敏感性分析是提高投标价格和增加输电线路的流量限制。该扩展算法是从仿射缩放原始算法扩展而来的。此扩展算法中用于找到最佳顶点和最佳基础的概念很简单。

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