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The decomposition and computation method for distributed optimal power flow based on message passing interface (MPI)

机译:基于消息传递接口的分布式最优潮流分解与计算方法

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This paper investigates the decomposition and computation method for the distributed optimal power flow (DOPF) based on message passing interface (MPI) framework in large-scale interconnected power grids. Firstly, a DC-DOPF model and an AC-DOPF model are introduced respectively. Next, a new equivalent decomposition model to be used to solve DC-DOPF and AC-DOPF is proposed. It decomposes the OPF computation of large power grid into the sub-problems of interconnected multiple regions. Then, two different decomposition methods, i.e., partial duality and auxiliary problem principle (APP), are used to solve interconnected DC-DOPF and AC-DOPF, respectively. DC-DOPF and AC-DOPF are modeled as multiple base-cases OPF to get the runtime status in real time. Finally, several experiments are implemented based on multiple interconnected IEEE RTS-96 regions and IEEE 118 test regions. The computational results illustrate that the proposed decomposition and computation methods for DOPF based on MPI are applicable and effective, and it can be as a useful computation method for interconnected power system.
机译:本文研究了大规模互联电网中基于消息传递接口(MPI)框架的分布式最优潮流(DOPF)的分解和计算方法。首先,分别介绍了DC-DOPF模型和AC-DOPF模型。接下来,提出了一种新的等效分解模型,用于求解DC-DOPF和AC-DOPF。它将大电网的OPF计算分解为互连的多个区域的子问题。然后,分别使用两种不同的分解方法,即部分对偶和辅助问题原理(APP)来求解互连的DC-DOPF和AC-DOPF。 DC-DOPF和AC-DOPF被建模为多个基本案例OPF,以实时获取运行时状态。最后,基于多个互连的IEEE RTS-96区域和IEEE 118测试区域实施了一些实验。计算结果表明,所提出的基于MPI的DOPF分解和计算方法是可行和有效的,可以作为互联电力系统的一种有用的计算方法。

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