混合整数最优潮流的增强免疫退火算法

Cong-Hui Huang, Whei-Min Lin
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引用次数: 1

摘要

本文提出了一种改进的免疫退火算法(EIAA),用于求解具有连续和离散控制变量的等效电流注入(ECIOPF)最优潮流,即混合整数最优潮流(MIOPF)。建模的连续控制变量为单元有功输出和发电机母线电压幅值,离散控制变量为变压器分接设置和并联电容器装置。在标准的ieee30总线系统上证明了该方法的可行性,并在解质量、收敛性和计算效率等方面与其他随机方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Enhanced Immune-Annealing Algorithm for Mixed-Integer Optimal Power Flow
This paper presents an enhanced immune annealing algorithm (EIAA) for the solution of the optimal power flow based on Equivalent Current-Injection (ECIOPF) with both continuous and discrete control variables that was called mixed-integer optimal power flow (MIOPF). The continuous control variables modeled are unit active power outputs and generator-bus voltage magnitudes, while the discrete ones are transformer-tap settings and shunt capacitor devices. The feasibility of the proposed method is exhibited for standard IEEE 30 bus system, and it is compared with other stochastic methods in terms of solution quality, convergence property, and computation efficiency.
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