Abstract
In this paper, an adaptive virtual inertia-damping system based on model predictive control (MPC) is proposed to enhance the frequency dynamic performance of islanded microgrids (MGs) considering a high penetration level of renewable energy sources (RESs). Recently, a large amount of RESs is replacing traditional generating units, causing an undesirable effect on the MG frequency stability and system inertia, and thus weakening the MG. Therefore, the proposed control system handles this challenge to enhance the robust performance and stability of the MG with high RESs penetration during contingencies. The proposed online MPC strategy estimates the gains of the virtual inertia control (VIC) system (i.e., inertia and damping coefficients) in high RESs MG. The performance of the proposed adaptive VIC system is compared with the conventional VIC system (i.e., constant values of inertia and damping coefficients) using MATLAB/Simulink under numerous disturbances and system uncertainties. Moreover, the effectiveness of the proposed adaptive VIC system based on the online MPC strategy is verified by comparing its performance with the adaptive VIC system based on fuzzy logic control, which is designed to estimate only the inertial gain. The results highlight that the frequency stability is upgraded, and the adaptive virtual inertia system based on MPC successfully supports low-inertia islanded MGs with RESs and load fluctuations.
Highlights
Electric power grids lean toward utilizing renewable energy sources (RESs) to protect the environment from harmful emissions, increase the economy, and face the reduction of fuel [1]
Motivated by the aforementioned observations, this paper presents a design of adaptive virtual inertia control (VIC) to mimic damping and inertia properties simultaneously based on model predictive control (MPC) in an islanded MG, considering the high penetration of RESs to enhance frequency stability and robustness under a wide range of system operation
SIMULATION RESULTS AND DISCUSSION The simulation results of the proposed adaptive VIC system based on the MPC strategy for the islanded MG have been carried out to test the effectiveness and robustness using the MATLAB/Simulink software
Summary
Electric power grids lean toward utilizing renewable energy sources (RESs) to protect the environment from harmful emissions, increase the economy, and face the reduction of fuel [1]. The distributed generators (DGs)/RES concepts such as solar, wind energy, and microturbine, ousted numerous ordinary generation units. This concept enhances system reliability and reduces voltage droop and transmission system losses. Thence, many researchers addressed the challenges of the MG operating in both gridconnected and islanded modes They concluded that there is difficulty in controlling MG in the islanded mode because of the fluctuations in load and renewable generation units (e.g., wind and solar energy) [3], [4]. To enhance the frequency/voltage stability of the islanded MG, the virtual inertia control grants supplementary active power to the setpoint through an energy storage system (ESS)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
