Frequency control of the islanded microgrid based on optimised model predictive control by PSO

In this paper, the amount of microgrid frequency deviation in dynamic state can be reduced by improving controller and implementing a new method. The proposed is designed for including renewable resources, control strategy such that coefficients are adjusted optimised at all times model predictive (MPC). weight parameters MPC have been particle swarm optimisation (PSO) algorithm. located secondary loop, applying signal to sources, perturbations following power changes reduced. simulation results show performs better than Ziegler–Nichols PI (PI-ZN) method, PI-based controllers rely on fuzzy logic (PI-Fuzzy), fractional-order proportional-integral-derivative (FOPID) based chaos (FOPID-CPSO) algorithm PID CPSO (PID-CPSO). It has able effectively reduce fluctuations terms amplitude number oscillations also more resistant uncertainty shows performance when changing other methods.