dc.contributor.author |
Mathur, Hitesh Dutt |
|
dc.date.accessioned |
2023-02-16T09:55:22Z |
|
dc.date.available |
2023-02-16T09:55:22Z |
|
dc.date.issued |
2017 |
|
dc.identifier.uri |
https://www.tandfonline.com/doi/abs/10.1080/15325008.2017.1334103 |
|
dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9280 |
|
dc.description.abstract |
This paper emphasizes the development of control strategy for inter-area oscillation suppression for a unified two-area hydro–thermal deregulated power system. A proportional derivative-type fuzzy logic controller with integral (PDFLC+I) controller was proposed for automatic generation control. Further comparisons among conventional integral controller, proportional integral derivative controller, and PDFLC+I are carried out, where the PDFLC+I controller is optimized by four different optimization techniques namely, algorithm, ant colony optimization, classical particle swarm optimization, and adaptive particle swarm optimization. In PDFLC+I controller optimization, scaling parameters of controllers are optimized. A comparative study shows that the proposed PDFLC+I controller has a better dynamic response following a step load change for the combination of PoolCo and bilateral contract-type transaction in deregulated environment. Proposed controller performance has also been examined for ±30% variation in system parameters. Non-linearity in the form of governor dead band is taken into account during simulation. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Taylor & Francis |
en_US |
dc.subject |
EEE |
en_US |
dc.subject |
Two-area power system |
en_US |
dc.subject |
Automatic generation control |
en_US |
dc.subject |
Proportional-integral-derivative controller |
en_US |
dc.subject |
Adaptive particle swarm optimization |
en_US |
dc.subject |
Ziegler–Nichols method |
en_US |
dc.title |
Power-Frequency Balance in Multi-generation System Using Optimized Fuzzy Logic Controller |
en_US |
dc.type |
Article |
en_US |