What is it about?
In this study, fuzzy gain scheduling controllers are proposed for automatic generation control of interconnected electrical power systems. Primarily, the study is done for automatic generation control of a two-area non-reheat thermal power system, and the parameters of fuzzy gain scheduling controllers are optimized by a genetic algorithm.
Featured Image
Why is it important?
Simulation results show the performance of fuzzy gain scheduling controllers is superior compared to the optimal and controllers based upon the gravitational search, the bacteria foraging optimization, and the hybrid bacteria foraging optimization–particle swarm optimization algorithms for an identical power system.
Perspectives
The simulation results indicate that the proposed fuzzy gain scheduling controllers work efficiently and provide better dynamic performance without being redesigned for separate systems.
Dr. YOGENDRA ARYA
Maharaja Surajmal Institute of Technology
Read the Original
This page is a summary of: Fuzzy Gain Scheduling Controllers for Automatic Generation Control of Two-area Interconnected Electrical Power Systems, Electric Power Components and Systems, March 2016, Taylor & Francis,
DOI: 10.1080/15325008.2015.1131765.
You can read the full text:
Contributors
The following have contributed to this page
