Title | ||
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Load Frequency Control Of Multi-Area Interconnected Thermal Power System: Artificial Intelligence-Based Approach |
Abstract | ||
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In the current work, an ant colony optimisation (ACO) optimisation technique for load frequency control was proposed for tuning the performance of the proportional-integral-derivative (PID) controller gain values. This led to oscillations suppression in the power system response. A system consisted of three equal thermal generating units equipped with (PID) controller was investigated. The PID controller gain values are obtained by using three different cost functions such as the integral square error (ISE), integral time absolute error (ITAE) and integral absolute error (IAE). Time domain specifications of the settling time and overshoot were considered in the system response analysis. |
Year | DOI | Venue |
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2018 | 10.1504/IJAAC.2018.088599 | INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL |
Keywords | Field | DocType |
artificial intelligence, cost function, load frequency control, LFC, optimisation, proportional-integral-derivative controller, time domain specification | Time domain,Control theory,PID controller,Control theory,Settling time,Overshoot (signal),Electric power system,Automatic frequency control,Control engineering,Mathematics,Approximation error | Journal |
Volume | Issue | ISSN |
12 | 1 | 1740-7516 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jagatheesan Kaliannan | 1 | 12 | 2.82 |
Anand Baskaran | 2 | 11 | 2.79 |
Nilanjan Dey | 3 | 521 | 78.41 |
Amira S. Ashour | 4 | 203 | 27.96 |
Valentina Emilia Balas | 5 | 195 | 37.08 |