- Title
- Design of hybrid power system stabilizer for dynamic stability improvement using cultural algorithm
- Creator
- Patel, Jasmeen; Das, Narottam; Islam, Syed
- Date
- 2022
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/191374
- Identifier
- vital:17810
- Identifier
-
https://doi.org/10.1109/iSPEC54162.2022.10033059
- Identifier
- ISBN:9781665485227 (ISBN)
- Abstract
- In power system the stability is an important property that varies on the operational condition and the interruption to which it is exposed. The power system network endangered to the similar disruption can be stable at one operational situation (e.g., in off-peak hours) and not stable at another (e.g., at peak times). Similarly, a network at one operational situation can be stable to one disturbance and not stable to another. Consequently, stability reports generally involve the analysis of several cases, in order to cover various disruptions of interest and the key points of operation of the system. This research recommends various stabilizers such as, Power system stabilizers (PSS), Proportional Integration Differentiation (PID) and Fractional Order PID (FOPID) to decrease oscillations due to small signal disruption. The PSS-Voltage stabilizer generates impulses at the time of speed-change which usually results in positive PSS output. Using the FOPID procedure in relation with PSS, this approach can decrease these impulses. Using this approach, the generated impulses are finally decreased. Genetic Algorithm, particle swarm optimization and cultural algorithm are used for parameter fine-tuning of all the stabilizers. All these algorithms will help to tune parameters at soft computing level and then again tuned by two stabilizers which are FOPID and PSS. Now, again two stabilizers will tune and provide output needs to compare and average output to get required tuned values. Finally, the average of two stabilizers will field circuit and drive rotor according to the value given to it. © 2022 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 4th IEEE Sustainable Power and Energy Conference, iSPEC 2022, Virtual, online, 4-7 December 2022, Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 IEEE
- Subject
- Cultural Algorithm; Fractional Order Potential Integration Differentiation (FOPID); Genetic Algorithm; Particle Swarm Optimization; Power System Stabilizers (PSS)
- Reviewed
- Funder
- Central Queensland University
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