Optimal tuning of PSS parameters for damping improvement using PSO algorithm

Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm

“…Habitat set H is a representation of a full solution vector made up of the set of SIVs for each habitat H ij . Equation (7) give the matrix of habitat set H of BBO for optimal tuning. The habitat vector is represented as H ij , where i=1, 2, ..., N and j=1, 2, ..., m. The number of SIVs is m, while the number of habitats is N. (7) Step 2: For each habitat, determine, µ and λ, the cost function, and the HSI; then, based on the HSI value, map each habitat to its corresponding µ and λ.…”

“…Most power system parameters, including bus voltage, line current, generator speed, and power, exhibit these oscillations. In addition to boosting transmission capacity, dampening oscillations is crucial for stabilizing power system conditions after serious breakdowns [6]- [7]. A power system's persistent low frequency oscillations are caused by the mechanical mode's lack of damping, and supplementary excitation control can deliver the needed additional damping.…”

Dynamic genetic algorithms for robust design of multimachine power system stabilizers

“…Particle Swarm Optimization (PSO), a quite popular method of the swarm intelligence family, is suggested in [14][15][16][17] to design robust PSSs. An algorithm of PSO-based fuzzy logic PSSs is proposed in [18] to damp the multimachine power system oscillations.…”