Teaching learning based optimization for frequency regulation in two area thermal-solar hybrid power system
- Publisher:
- SPRINGER INTERNATIONAL PUBLISHING AG
- Publication Type:
- Chapter
- Citation:
- Advances in Intelligent Systems and Computing, 2019, 698, pp. 63-71
- Issue Date:
- 2019-01-01
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
978-981-13-1819-1_7.pdf | Published version | 592.74 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
This novel work analyses the model of Automatic generation control having two unequal deregulated power system in Lab VIEW platform. Teaching learning based optimization (TLBO) has been implemented for tuning the gains of the PID controller. Further a comparative study has been given in this work with DE-based PID and TLBO-based PID controller. From the Simulation results implementing approaches of DE-optimized PID and TLBO-optimized PID establishes that the performance of TLBO optimization is better in improving the system performance index. The execution of TLBO-PID enhances performance in comparison with PI, PID controller with regards to stability, overshoot, and damping.
Please use this identifier to cite or link to this item: