The central aim of the proposed method is to discover the finest solution, from which the net cost of the microgrid and voltage deviation index can be determined by uncertain parameters.
To address this issue, a model for evaluating MGPQ based on confidence estimation using Chebyshev inequality is proposed in this paper. Firstly, Chebyshev inequality is utilized to
In very wide microgrids or when the voltage drop values as well as
In very wide microgrids or when the voltage drop values as well as the load/RESs power profiles are unknown, the values of A and N can be calculated based on the resistance of the lines,
In this paper, both ICA and GA, as well as their hybrid application, are used to significantly enhance the voltage regulation in microgrids. The integration of optimization techniques
The paper proposes a new control algorithm for DER used in low-inertia microgrids, designed to control and mitigate voltage and frequency excursions. The figure shows the...
To validate the proposed approach, the IEEE 33-bus radial distribution systems has been applied. The simulation results show that the approach minimizes MG investment costs under the
Based on this concept, an optimized VSG control is discussed in this paper, in which the inertia constant and damping factor are altered between two values based on relative virtual angular velocity and its
In this paper, the deviation in voltage is regulated by utilizing a Genetic algorithm (GA) to optimize the droop coefficients. The work is carried out for various loads to regulate voltage variation and reactive
The power flow calculation method in [57] is adopted to obtain the relations between voltage imbalance and voltage deviation in DC microgrid, as shown in Fig. 20.
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