Abstract:

To overcome low frequency oscillation in power system, a novel strategy based on minimum entropy H∞ control theory is proposed for the design of Power System Stabilizer (PSS). The reducedorder method is applied to the original system and controller to obtain a reducedorder PSS. A hybrid algorithm, which combines Bacterial Foraging Optimization (BFO) and Particle Swarm Optimization (PSO), is applied for the selection of weighing function to transform different design objectives into inequality constraints; thus, the selection of weighing function become a multiobjective optimization problem. The participation factors are used to determine the location of PSS for fourgenerator and twoarea power system. Then the minimum entropy H∞ PSS is designed to improve the damping oscillations in power system. Simulations are carried out under various operation conditions. Results show that the entropy H∞ PSS can not only damp the interarea low frequency oscillation but also improve the system damping.

Key words: electrical engineering, low frequency oscillation, power system stabilizer, minimum entropy H_∞ control, reduced order models