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A Distributed Consensus-Based Algorithm for Optimal Power Flow in DC Distribution Grids

机译:基于分布式共识的直流分布网格中的最佳功率流算法

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The optimal power flow problem over direct current (DC) grids is to minimize the cost of active power generation considering all power flow equations, the maximum capacitance of the lines, and voltage limited boundaries of all the buses. It is one of the famous non-convex problems in the power system area. In this paper, a new distributed consensus-based algorithm is proposed for solving optimal power flow for DC distribution systems. As this algorithm is based on semi-definite relaxation (SDR), a mathematical proof is provided to show the exactness of the SDR relaxation technique. Then, it is demonstrated that the proposed distributed method converges to the global optimal point while satisfying all system constraints. A detailed analysis of the proposed algorithm is provided by applying it to a modified version of the IEEE-30 bus system. Finally, this method is applied to different DC power flow case studies, such as 14, 30, 57, 118, 200-bus systems, to provide a strong performance assessment. The simulation results, when compared with the benchmark, are quite promising.
机译:通过直流电流(DC)网格的最佳功率流量问题是考虑所有电流方程,线路的最大电容和所有总线的电压有限的边界。它是电力系统区域中着名的非凸面问题之一。本文提出了一种新的分布式共识的算法,用于求解DC分配系统的最佳功率流。由于该算法基于半定位弛豫(SDR),提供了一种数学证据以显示SDR弛豫技术的精确性。然后,证明所提出的分布式方法会聚到全局最优点,同时满足所有系统约束。通过将其应用于IEEE-30总线系统的修改版本提供了对所提出的算法的详细分析。最后,该方法应用于不同的直流电流案例研究,例如14,30,57,118,200总线系统,以提供强大的性能评估。与基准相比,仿真结果非常有前途。

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