TID-based PSS2B to Overcome LFO Issue in Multi-machine Power Systems
Low frequency oscillations (LFOs) in interconnected multi-machine power systems is a major concern in viewpoint of power system dynamic stability. Proposing high performance power system stabilizers (PSSs) to mitigate efficiently the LFOs is an attractive subject which has found remarkable considera...
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Published in | Iranian Conference on Electrical Engineering pp. 968 - 973 |
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Main Author | |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
17.05.2022
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Subjects | |
Online Access | Get full text |
ISSN | 2642-9527 |
DOI | 10.1109/ICEE55646.2022.9827003 |
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Summary: | Low frequency oscillations (LFOs) in interconnected multi-machine power systems is a major concern in viewpoint of power system dynamic stability. Proposing high performance power system stabilizers (PSSs) to mitigate efficiently the LFOs is an attractive subject which has found remarkable consideration in latter literature. Owing to high potential of fractional order controllers (FOCs), a tilt-integral-derivative (TID) assisted stabilizer is proposed here. In doing so, IEEE type PSS2B is modified to establish a TID-based PSS2B stabilizer. The dynamic performance of the suggested TID-PSS2B is investigated in comparison with an ingeter order proportional integral derivative (PID) based PSS2B counterpart and a former TID-PSS. The objective of this paper is to improve the small-signal stability of an interconnected power system via preparing further damping torque to suppress the LFOs. The design procedure of the TID-PSS2B is mathematically formulated as a minimization problem with the aim of decreasing the machines speed deviations. An improved particle swarm optimization (IPSO) algorithm is used to find optimal parameters of the presented stabilizer. The time domain simulation results reveal that by employing the suggested TID-PSS2B, the speed oscillations are suppressed effectively. Furthermore, to evaluate the robustness behavior of the presented controller, sensitivity analysis is carried out. |
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ISSN: | 2642-9527 |
DOI: | 10.1109/ICEE55646.2022.9827003 |