Salp swarm algorithm for solving optimal power flow problem with thyristor-controlled series capacitor

Q1 Engineering

Journal of Electronic Science and Technology Pub Date : 2022-06-01 DOI:10.1016/j.jnlest.2022.100156

Balasubbareddy Mallala , Divyanshi Dwivedi

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引用次数: 5

Abstract

In this paper, a salp swarm algorithm (SSA) is proposed for solving the optimal power flow (OPF) problem of a power system with the incorporation of the thyristor-controlled series capacitor (TCSC). The proposed methodology is implemented for determining the optimal setting of control variables for the OPF problem, which includes the real power of generators buses, voltages of generator buses, reactive power injected by shunt compensators, and tap changing transformer ratios. The performance of the proposed approach is validated and tested on the standard IEEE-30 bus system and single-objective functions, including transmission line losses. The severity factor has been minimized and the result obtained is compared with the existing algorithms. Simulation results achieved with the proposed SSA approach demonstrate that it results in an effective and better solution for the OPF problem.

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求解晶闸管串联电容最优潮流问题的Salp群算法

本文提出了一种求解含晶闸管控制串联电容的电力系统最优潮流问题的salp群算法(SSA)。提出的方法用于确定OPF问题的控制变量的最佳设置，其中包括发电机母线的实际功率、发电机母线的电压、并联补偿器注入的无功功率和分接改变变压器比率。在标准IEEE-30总线系统和单目标函数(包括传输线损耗)上验证和测试了所提出方法的性能。将严重性因子最小化，并与现有算法进行了比较。仿真结果表明，该方法能较好地解决OPF问题。

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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来源期刊

Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering

CiteScore

4.30

自引率

0.00%

发文量

1362

审稿时长

99 days

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