用Dantzig - Wolfe分解求解线性化最优潮流问题

G. Bastianel, H. Ergun, D. Hertem
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引用次数: 0

摘要

最优潮流问题可以用于考虑电路物理和技术约束的电网发电调度。本文使用了一种老式的数学分解技术,dantzigg - wolfe分解,来解决这类问题,并将结果与最先进的商业求解器进行了比较。将线性化的“DC”OPF模型重新表述为问题的块角结构,并通过基于单纯形法的列生成算法进行优化。优化过程的每次迭代都会生成变量列,提供一个解决方案,其中从可行集中选择的顶点被赋予权重并组合以获得最优值。三个测试用例的结果为更大的测试系统和MILP问题(如传输网络扩展规划问题)的进一步工作提供了一个有用的起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linearised Optimal Power Flow Problem Solution using Dantzig - Wolfe decomposition
The optimal power flow problem can be used to determine the generation dispatch in electrical grids taking into account circuit physics and technical constraints. This paper uses an old-fashioned mathematical decomposition technique, the Dantzig-Wolfe decomposition, to solve such problems and compares the results to state-of-the-art commercial solvers.The linearised ’DC’ OPF model is reformulated to create a block angular structure of the problem and is optimized through a column generation algorithm based on the simplex method. Columns of variables are generated for each iteration of the optimization process, providing a solution where selected vertices from the feasible sets are assigned a weight and combined to get the optimal value.The results of three test cases consist of an useful starting point for further works with larger test systems and MILP problems such as the transmission network expansion planning problems.
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