School of Housing, Building and Planning, Universiti Sains Malaysia, 11800, George Town, Penang, Malaysia.
Department of Electrical Engineering, Azad University, Khalkhal Branch, Khalkhal, 31367-56817, Iran.
Environ Sci Pollut Res Int. 2023 Jun;30(28):71726-71740. doi: 10.1007/s11356-021-16072-x. Epub 2021 Sep 1.
The reactive power control of a power system is discussed under two types of variables: continuous variables (e.g., generator bus voltages) and discrete variables (e.g., transformer taps and the size of switched shunt capacitors). This paper proposes a novel and powerful algorithm, named turbulent flow of water-based optimization (TFWO) as well as a new improved version of this algorithm, called θ-TFWO, for optimal reactive power distribution (ORPD) to reduce losses. The proposed method is applied to two large-scale IEEE 57-bus systems. Furthermore, to demonstrate the competitive performance of the suggested algorithm, its performance was compared to that of several other algorithms, including biogeography-based optimization (BBO), social spider algorithm (SSA), and optics inspired optimization (OIO), in terms of solving the ORPD problem. The results confirmed the robustness and effectiveness of the proposed method as a powerful optimizer applicable to optimal reactive power distribution in power systems.
连续变量（例如，发电机母线电压）和离散变量（例如，变压器抽头和开关并联电容器的大小）。本文提出了一种新颖而强大的算法，名为基于水的紊流优化（TFWO）以及该算法的一个新改进版本，称为θ-TFWO，用于优化无功功率分布（ORPD）以降低损耗。所提出的方法应用于两个大规模的 IEEE 57 母线系统。此外，为了展示所提出算法的竞争性能，将其性能与其他几种算法进行了比较，包括基于生物地理学的优化（BBO）、社会蜘蛛算法（SSA）和受光学启发的优化（OIO），以解决 ORPD 问题。结果证实了所提出方法作为一种强大的优化器的鲁棒性和有效性，适用于电力系统中的最优无功功率分配。
