Optimal controllers designs for automatic reactive power control in an isolated wind-diesel hybrid power system

摘要: Abstract The paper presents the bacterial foraging optimization algorithm (BFOA) and particle swarm (PSO) based robust controllers for voltage deviations due to variation of reactive power in an isolated wind-diesel hybrid system. system consists wind energy conversion (WECS) utilizing a permanent magnet induction generator (PMIG). Further, synchronous (SG) is used with diesel engine set generation. mismatch between generated consumed causes fluctuations, which will occur at terminals. These oscillations further reduction stability quality supply. static compensator (STATCOM) automatic regulator (AVR) are suppress fluctuations STATCOM as AVR keep terminal constant generator. Both having proportional integral (PI) single input. In modeling system, normalized co-prime factorization applied show possible unstructured uncertainties such parameters generating loading conditions. performance conditions control formulated problem, on Hα loop shaping. BFOA PSO algorithms implemented solve this problem achieve PI simultaneously. order efficiency proposed controllers, compared conventional controller genetic (GA) same dynamic responses four different small-disturbance case studies has been carried out MATLAB environment.