An Evolutionary Pathway of Linear Power Flow Equation: Breaking of Empirical Assumptions

Zhexin Fan, Zhifang Yang, Chun Zheng
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Abstract

Linearization of the power flow equation is widely-used in power system analysis to meet the computational efficiency demand of the power industry. However, existing linear power flow equations are proposed based on empirical assumptions. The optimality of these power flow equations cannot be proven. The evolutionary pathway of the linear power flow equation is not clear. In this paper, we review the widely-used linear power flow equation from the perspective of their zero-error assumption of linearization approximation. Then, the improvement of the linear power flow equation is revealed as constantly breaking the zero-error assumption. Finally, we propose an enhanced linear power flow equation based on the arithmetic-geometric mean inequality for optimal power flow (OPF) calculation. The performance is verified in IEEE 30, 118 and Polish 2383 test systems.
线性潮流方程的演化路径:经验假设的突破
为了满足电力工业对计算效率的要求,潮流方程的线性化在电力系统分析中得到了广泛的应用。然而,现有的线性潮流方程是基于经验假设提出的。这些潮流方程的最优性无法证明。线性潮流方程的演化路径尚不清楚。本文从线性化近似的零误差假设的角度对目前广泛使用的线性潮流方程进行了综述。然后,揭示了线性潮流方程的改进,即不断打破零误差假设。最后,我们提出了一种基于算术-几何平均不等式的增强线性潮流方程,用于最优潮流的计算。性能在IEEE 30,118和波兰2383测试系统中得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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