Computing the Load Margin of Power Systems Using Golden Jackal Optimization

被引：0
作者：
Bento, Murilo E. C. [1 ]
机构：
[1] Univ Fed Rio de Janeiro, BR-21941909 Rio De Janeiro, RJ, Brazil
来源：
IFAC PAPERSONLINE | 2024年 / 58卷 / 13期
基金：
巴西圣保罗研究基金会;
关键词：
Smart Grid; Power System Stability; Load Margin; Dynamic Security Assessment; Voltage Stability; Small-Signal Stability; Golden Jackal Optimization; AREA DAMPING CONTROLLER; PERMANENT FAILURE; DESIGN;
D O I：
10.1016/j.ifacol.2024.07.555
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Load Margin (LM) is an important stability index applied in power systems. The calculation of LM has always been associated with voltage stability studies, but the increase in load can also cause the emergence of poorly damped oscillation modes studied in stability at small signals that can destabilize the power system. This article proposes an optimization model to determine the LM considering jointly the voltage stability and small signal stability thresholds. The bio-inspired algorithm called Golden Jackal Optimization is applied to solve the optimization model. The IEEE 39-bus test system is used for case studies and discussions. Copyright (c) 2024 The Authors.
引用
收藏
页码：644 / 649
页数：6
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