A novel hybrid approach involving Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization Algorithm (BFOA) called Bacterial Swarm Optimization (BSO) is illustrated for designing Static Synchronous Series Compensator (SSSC) for single and multimachine power systems. In BSO, the search directions of tumble behavior for each bacterium are oriented by the individual‟s best location and the global best location of PSO. The proposed hybrid algorithm has been extensively compared with the original BFOA algorithm and the PSO algorithm. Simulation results have shown the validity of the proposed BSO in tuning PSSs compared with BFOA and PSO. Moreover, the results are presented to demonstrate the effectiveness of the proposed controller to improve the power systems stability over a wide range of loading conditions.
Ali, E. S., & Abd-Elazim, S. M. (2013). Optimal SSSC Design for Damping Power Systems Oscillations via Hybrid BFOA-PSO Approach. JES. Journal of Engineering Sciences, 41(No 3), 1127-1150. doi: 10.21608/jesaun.2013.114785
MLA
E. S. Ali; S. M. Abd-Elazim. "Optimal SSSC Design for Damping Power Systems Oscillations via Hybrid BFOA-PSO Approach", JES. Journal of Engineering Sciences, 41, No 3, 2013, 1127-1150. doi: 10.21608/jesaun.2013.114785
HARVARD
Ali, E. S., Abd-Elazim, S. M. (2013). 'Optimal SSSC Design for Damping Power Systems Oscillations via Hybrid BFOA-PSO Approach', JES. Journal of Engineering Sciences, 41(No 3), pp. 1127-1150. doi: 10.21608/jesaun.2013.114785
VANCOUVER
Ali, E. S., Abd-Elazim, S. M. Optimal SSSC Design for Damping Power Systems Oscillations via Hybrid BFOA-PSO Approach. JES. Journal of Engineering Sciences, 2013; 41(No 3): 1127-1150. doi: 10.21608/jesaun.2013.114785
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