With the large-scale integration of intermittent renewable energy generation presented by wind and photovoltaic power, the security and stability of power system operations have been challenged. Therefore, this article
Introducing more Distributed Generation (DG) into power grid infrastructure drives more attention to understand how large scale DG affects grid operation. Islanding is an important concern in
Likewise, the authors of propose the use of supercapacitors to provide frequency support to an isolated microgrid considering the solar-diesel hybrid system and fast response energy
This paper proposes a pattern recognition based differential spectral energy protection scheme for ac microgrids using a Fourier kernel based fast sparse time-frequency representation (SST or
The validation of the proposed methodologies for fast frequency response using Vehicle-to-Grid or Demand Response programs was indeed carried out by emulating the dynamic behavior of
The optimal design of MPC is achieved through the utilization of the African vultures optimization algorithm (AVOA). An innovative approach was suggested in to improve frequency regulation in AC microgrids by combining a fuzzy control system with a model predictive controller (MPC).
The microgrid frequency is the same as that of the main grid in the case of the grid-connected mode of operation of the microgrid. But, in the islanded operation the microgrid must regulate both frequency and voltage individually [3, 4, 5, 6].
In , a novel methodology for load frequency regulation in isolated microgrids has been introduced and verified. It was shown that the fuzzy adaptive model predictive control system outperforms traditional systems with a swifter and more flexible response.
When connected to the grid, the microgrid's frequency and power are functions of the main grid and only need to be controlled for the power of the units, but on islands, the microgrid's frequency and voltage fluctuate need an independent control 3, 4.
The perturbation at the wind speed is such that at t = 90 s, the wind speed decreases from 7.5 m/s to 4.5 m/s and increases to 10 m/s at t = 130 s. The microgrid frequency response by applying these perturbations is shown in Fig. 16.
In order to adjust load frequency effectively and quickly for an isolated microgrid, a genetic algorithm-based MPC was proposed in this article. The studied isolated microgrid included a wind power-generating unit, a solar power-generating unit, a diesel generator unit, a fuel cell unit, and a battery storage unit.
