Abstract

In light of the challenges of integrating more renewable energy sources (RESs) into the utility grid, the virtual synchronous generator (VSG) will become an indispensable configuration of modern power systems. RESs are gradually replacing the conventional synchronous generators that are responsible for supplying the utility grid with the inertia damping properties, thus renewable power grids are more vulnerable to disruption than traditional power grids. Therefore, the VSG is presented to mimic the behavior of a real synchronous generator in the power grid through the virtual rotor concept (i.e., which emulates the properties of inertia and damping) and virtual primary and secondary controls (i.e., which emulate the conventional frequency control loops). However, inadequate imitation of the inertia power owing to the low and short-term power of the energy storage systems (ESSs) may cause system instability and fail dramatically. To overcome this issue, this paper proposes a VSG based on superconducting magnetic energy storage (SMES) technology to emulate the needed inertia power in a short time and thus stabilizing the system frequency at different disturbances. The proposed VSG based on SMES is applied to improve the frequency stability of a real hybrid power grid, Egyptian Power System (EPS), with high renewables penetration levels, nonlinearities, and uncertainties. The performance superiority of the proposed VSG-based SMES is validated by comparing it with the traditional VSG approach based on battery ESSs. The simulation results demonstrated that the proposed VSG based on the SMES system could significantly promote ultra-low-inertia renewable power systems for several contingencies.

Highlights

  • Modern power systems have been facing the tremendous expansion of renewable energy sources (RESs) in line with environmental protection and resource utilization

  • The simulation results of the considered renewable power system (i.e., Egyptian Power System (EPS)) are implemented under various load/RES perturbations using MATLAB/Simulink® software to check the superiority and efficacy of the proposed virtual synchronous generator (VSG) based on the superconducting magnetic energy storage (SMES) system

  • energy storage systems (ESSs) was mathematically modeled by a first-order transfer function of a time constant of 10 s and a unity gain, and the same power constraints of the SMES system mentioned in Section 3.1 are used with the battery ESS system

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Summary

Introduction

Modern power systems have been facing the tremendous expansion of renewable energy sources (RESs) in line with environmental protection and resource utilization. Significant efforts have been made to apply several control techniques in the power systems to support frequency stability, adjust the deviation of tie-line power, and ensure reliable performance against system uncertainty. These control techniques could include conventional proportional-integral-derivative PID controller [3], fuzzy logic controller (FLC) [4], neural network controller [5], adaptive neuro-fuzzy controller [6], model predictive control (MPC) [7], robust controller [8]. To achieve a realistic study on the frequency stability issue for modern power grids, this study is concerned with presenting a real hybrid power system that contains several traditional power plants, in addition to a high penetration level of RESs to keep pace with the renewable power grids of today

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