Multi Area Load Frequency Control Using Particle Swarm Optimization and Fuzzy Rules
| Autor: | Sukhwinder Singh Dhillon, Jagdeep Singh Lather, Sanjay Marwaha |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Load Frequency Control
Heuristic (computer science) Computer science Real-time computing Automatic frequency control PID controller Particle swarm optimization Fuzzy logic Electric power system Particle Swarm Optimization Control theory General Earth and Planetary Sciences Fuzzy Rules Error Analysis Heuristics General Environmental Science |
| Zdroj: | Procedia Computer Science. 57:460-472 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2015.07.363 |
| Popis: | This paper present heuristics based study of multi area power network. Heuristic procedures involving Particle Swarm Intelligence and Fuzzy based inferences have been employed to effectively obtain the optimized gains of PID controller. Any change in the load demand causes generator's shaft speed lower than the pre-set value and the system frequency deviates from the standard value results in malfunctioning of frequency relays. A five area load frequency model is constructed in Matlab/simulink by implementing the PID (Proportional, Integral and Differential) controllers to control the frequency deviations. The effect of interconnection of multi area power system as ring connection has been discussed. Simulations performed show the effectiveness of the current approach over simple fuzzy inferences in terms of performance as well as execution efficiency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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