Optimal Fuzzy Controller Based on Chaotic Invasive Weed Optimization for Damping Power System Oscillation
| Autor: | Nasser Yosefi, Mojtaba Hadi Barhaghtalab, Mohammad Zavvar, Seyedeh Mozhdeh Mirhassannia, Vahid Meigoli |
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| Rok vydání: | 2017 |
| Předmět: |
Fluid Flow and Transfer Processes
Damping ratio Computer Networks and Communications Computer science 020209 energy General Engineering Chaotic PID controller 02 engineering and technology Fuzzy logic Computational Mathematics Nonlinear system Electric power system Chemistry (miscellaneous) Control theory Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Damping factor Energy (miscellaneous) |
| Zdroj: | Smart Science. 6:134-149 |
| ISSN: | 2308-0477 |
| Popis: | This paper proposed an optimal fuzzy controller for damping the power system oscillation in multi-machine environment. In this strategy, the proposed controller is optimized by new chaotic invasive weed optimization algorithm. Furthermore, a new objective function has been considered to test the proposed controller in different load conditions which increase the stability of system after disturbances. For this purpose, the damping factor, damping ratio, and a combination of the damping factor and damping ratio were analyzed and compared with the proposed objective function. The effectiveness of the proposed strategy has been applied in two multi-machine power system test cases as three machine 9-bus IEEE standard and 10-machine 39-bus New England power systems. The eigenvalue analysis and nonlinear time-domain simulation results proof the effectiveness of the proposed strategy. |
| Databáze: | OpenAIRE |
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