Enhancement of Power System Security by the Intelligent Control of a Static Synchronous Series Compensator

IF 1.5 0 ENGINEERING, MULTIDISCIPLINARY Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI:10.48084/etasr.6150
Sapana Arun Bhande, Vinod Kumar Chandrakar
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Abstract

Improving and maintaining the stability of a power system is a major focus of modern technology and research. However, due to financial issues, environmental concerns, and health risks associated with electric and magnetic fields, the growth of the current transmission system is constrained. Transmission line problems can be resolved by the effective use of reactive power compensation based on Flexible AC Transmission (FACT) devices. The effectiveness of these devices in regulating active and reactive powers as well as dampening oscillations in the transient phase of the power system is examined using a Static Synchronous Series Compensator (SSSC) with Artificial Neural Network (ANN) control. When compared to the traditional Proportional Integral (PI) controller, the suggested ANN controller offers better dynamic performance. For the suggested test system, this study utilized modeling and simulation using the MATLAB/Simulink software. The observations show that by using ANN in disturbed situations, power oscillations are quickly damped and power flow is enhanced.
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静态同步串联补偿器的智能控制提高电力系统的安全性
提高和保持电力系统的稳定性是现代技术和研究的主要焦点。然而,由于财政问题、环境问题以及与电场和磁场相关的健康风险,目前输电系统的发展受到限制。有效利用基于柔性交流输电(FACT)装置的无功补偿可以解决输电线路问题。采用人工神经网络(ANN)控制的静态同步串联补偿器(SSSC)测试了这些装置在调节有功功率和无功功率以及抑制电力系统暂态振荡方面的有效性。与传统的比例积分(PI)控制器相比,所提出的人工神经网络控制器具有更好的动态性能。对于所建议的测试系统,本研究使用MATLAB/Simulink软件进行建模和仿真。观察结果表明,在扰动情况下使用人工神经网络可以快速抑制功率振荡,增强功率流。
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来源期刊
Engineering, Technology & Applied Science Research
Engineering, Technology & Applied Science Research ENGINEERING, MULTIDISCIPLINARY-
CiteScore
3.00
自引率
46.70%
发文量
222
审稿时长
11 weeks
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