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Simultaneous controllers for stabilizing the frequency changes in deregulated power system using moth flame optimization

delete2022-06-01
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PRE
AI
K
K. Peddakapu
M
Mohd Rusllim Mohamed *
P
P. Srinivasarao
P
Puiki Leung
DOI:10.1016/j.seta.2021.101916delete
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摘要

摘要

En 中文
This paper introduces a stochastic idea for two-area automatic generation control (AGC) of the restructured system for enhancing the system dynamic performance. In this work, a new 2-degree of freedom of proportional-integral derivative-fractional order proportional derivative with filter (2DOF PID-FOPDN) approach is proposed for the AGC two area system. To ensure realization of optimal gains of the controller, a novel nature-inspired moth-flame optimization (MFO) is suggested using integral of time multiplied absolute error (ITAE) model. The performance of MFO-based 2DOF PID-FOPDN is evaluated against Cuckoo search (CS), Bat algorithm (BA), and Teaching learning-based optimization (TLBO) approaches in different contract scenarios of deregulated system. Further work to reduce the changes in tie-line has been applied through different FACTS controllers, such as Distributed power flow controller (DPFC), Thyristor-controlled series capacitor (TCSC), Unified power flow controller (UPFC), and Static synchronous series compensator (SSSC); integrated into the AGC system with the co-ordination of Ultra-capacitor (UC). The results indicate that the MFO-based 2DOF PID-FOPDN shows superior performance with DPFC-UC over other approaches in all contract scenarios of liberalized system. A sensitivity analysis is examined to recognize the robustness of the suggested approach under +/- 25% deviation in loading and system parameters.
Keyword:
Restructured system
Automatic generation control
2 DOF PID-FOPDN
Moth-flame optimization
Ultra-capacitor
FACTS controllers

期刊

Sustainable Energy Technologies and Assessments 封面图
Sustainable Energy Technologies and Assessments
IF:
7
论文数:
4.8K
被引数:
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机构

U
university of southampton
学者数:
3.3W
论文数: 3.2W
被引数: 52
U
universiti malaysia pahang al-sultan abdullah (umpsa)
学者数:
2.9K
论文数: 2.7K
被引数: 4
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