Precision Tuning of PID Controller Parameters for Dynamic Stability Enhancement in GPSS-SMIB Systems: The HB-PSO Optimization Approach-Reference-Cited by-同舟云学术

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Precision Tuning of PID Controller Parameters for Dynamic Stability Enhancement in GPSS-SMIB Systems: The HB-PSO Optimization Approach

Published:2024 Issue: Volume: Page:172-193
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:en
Short-container-title:

Author:

Kirange Yogesh Kalidas^ORCID,Nema Pragya^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-59107-5_12

Reference24 articles.

1. Elmenfy, T.H.: Design of velocity PID-fuzzy power system stabilizer using particle swarm optimization. WSEAS Trans. Syst. 20, 9–14 (2021)

2. Algorithms for Intelligent Systems;A Mishra,2020

3. Kamal, T., et al.: Novel improved adaptive neuro-fuzzy control of inverter and supervisory energy management system of a microgrid. Energies (MDPI). 13, 1–20 (2020)

4. Abdul-Ghaffar, H.I., Ebrahim, E.A., Azzam, M.: Design of PID controller for power system stabilization using hybrid particle swarm-bacteria foraging optimization. WSEAS Trans. Power Syst. 8(1), 12–23 (2021)

5. Gu, Y., Green, T.C.: Power system stability with a high penetration of inverter-based resources. In: Proceedings of the IEEE. (2022)

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