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使用带滤波器控制器的优化比例积分微分来提高角度稳定性。

Angle stability improvement using optimised proportional integral derivative with filter controller.

作者信息

Khawaja Abdul Waheed, Kamari Nor Azwan Mohamed, Mohd Zainuri Muhammad Ammirrul Atiqi, Abd Halim Syahirah, Zulkifley Mohd Asyraf, Ansari Shaheer, Malik Abdul Sattar

机构信息

Department of Electrical Engineering, Faculty of Engineering & Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan.

Department of Electrical Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, 43000, Selangor, Malaysia.

出版信息

Heliyon. 2024 Oct 5;10(19):e38944. doi: 10.1016/j.heliyon.2024.e38944. eCollection 2024 Oct 15.

DOI:10.1016/j.heliyon.2024.e38944
PMID:39687439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11647779/
Abstract

Load inconsistency has disrupted the power system, causing rotor angle fluctuation that leads to angle instability in the system. This research suggests an innovative proportional integral derivative with filter (PIDF)-based thyristor-controlled series compensator (TCSC) controller that utilise an evolutionary programming sine cosine algorithm (EPSCA) for hybrid optimisation to increase the angle stability of the power system. The challenge of the PIDF-TCSC design is transformed into an optimal control problem with respect to performance indices, such as the maximum imaginary part of system eigenvalues, damping ratio and damping factor, where another multi-objective function is utilised to determine the best stabiliser settings. Eigenvalue analysis is used to conduct the stability study in a linearised paradigm of the single-machine infinite-bus (SMIB) network. The resilience of the PIDF controller was tested using a SMIB power network under various operating circumstances. Simulation results are used to evaluate the system's effectiveness with the proposed optimised PIDF-TCSC controller to that of the system using the proportional integral derivative, proportional integral, and base case PIDF-TCSC approaches. The research findings demonstrate the efficacy of EPSCA in implementing PIDF-TCSC motif and its excellent resilient performance for improving power system stability as related to other strategies in various situations.

摘要

负荷不一致性扰乱了电力系统,导致转子角度波动,进而引发系统角度不稳定。本研究提出了一种基于带滤波器的比例积分微分(PIDF)的创新型晶闸管控制串联补偿器(TCSC)控制器,该控制器利用进化编程正弦余弦算法(EPSCA)进行混合优化,以提高电力系统的角度稳定性。PIDF-TCSC设计的挑战被转化为一个关于性能指标的最优控制问题,如系统特征值的最大虚部、阻尼比和阻尼因子,其中利用另一个多目标函数来确定最佳的稳定器设置。特征值分析用于在单机无穷大母线(SMIB)网络的线性化范式中进行稳定性研究。在各种运行情况下,使用SMIB电网测试了PIDF控制器的弹性。仿真结果用于评估所提出的优化PIDF-TCSC控制器的系统有效性与使用比例积分微分、比例积分和基本情况PIDF-TCSC方法的系统有效性。研究结果证明了EPSCA在实现PIDF-TCSC模式方面的有效性,以及在各种情况下与其他策略相比,其在提高电力系统稳定性方面的出色弹性性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/6aca1ede4fbd/gr17.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/ba4f7a672621/gr11.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/6aca1ede4fbd/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/3723365d265d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/27d08932182a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/cdd255db2450/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/a82f7c4a82fa/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/11fe7d44a5f6/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/b904ad5b3400/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/100e55a82192/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/74b4d0cff0c2/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/9759ccb56ec0/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/49607d105314/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/ba4f7a672621/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/8d615c355db9/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/d6f4016a12de/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/99208b2e5e7c/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/4900999d75b2/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/ca63b323f2f3/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0868/11647779/6aca1ede4fbd/gr17.jpg

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