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Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Verification of Electromagnetic Transients That Influence the Voltage Stability of the Intelligent Microgrid with Virtual Im-Pedance Enhanced with Particle Swarm Optimization

Version 1 : Received: 27 November 2023 / Approved: 1 December 2023 / Online: 1 December 2023 (13:30:17 CET)

How to cite: Dos Santos Júnior, V. T. Verification of Electromagnetic Transients That Influence the Voltage Stability of the Intelligent Microgrid with Virtual Im-Pedance Enhanced with Particle Swarm Optimization. Preprints 2023, 2023120079. https://doi.org/10.20944/preprints202312.0079.v1 Dos Santos Júnior, V. T. Verification of Electromagnetic Transients That Influence the Voltage Stability of the Intelligent Microgrid with Virtual Im-Pedance Enhanced with Particle Swarm Optimization. Preprints 2023, 2023120079. https://doi.org/10.20944/preprints202312.0079.v1

Abstract

In this research, the concept of the instability of tension in Microgrid still becomes the focus of study and purpose. Scrutinously, First-Swing Instability occurs in the system in noted changes with properties of making the system unstable or restore to a state of stability. The latter calls itself as a phenomenon of re-synchronization. Allied to aspects of system instability, it is evident that by connecting fast electric chargers for battery-electric vehicles to the distribution system from microgrids, they increase the necessary basic electrical charges and reduce the stability of the electrical energy system. Transient electrical currents have the characteristic of severely impacting microgrids not prepared in connected states or island of the main system. The occurrences of the electromagnetic incompatibility of the inrush current, due to their unpredictability and intermittent characteristic, have complex identification studies. With the elevation of electricity demand by battery-electric vehicle chargers, concerns about the effects of the integration of the electricity grid increase proportionally. The research described in this article emphasizes the influence of fast chargers’ initialization on the power variation related to the re-synchronization phenomenon and its mitigation of the stability of electricity microgrid. An optimization algorithm based on particle swarm optimization (PSO) implements the development of virtual impedances. The PSO optimization algorithm analyzes all possible operating points and aims to maximize the stability index of microgrid, maintaining reactive energy incompatibilities at the minimum level supported. The fractional objective function facilitates the service to these goals simultaneously. The optimization algorithm is implemented in a case study and the corresponding virtual impedance is incorporated into the microgrid. Voltage levels are verified as a condition in the optimization process, comparing system effectiveness.

Keywords

microgrid; re-synchronization; voltage stability; electric vehicles; electric vehicles chargers; virtual impedance; particle swarm optimization.

Subject

Engineering, Electrical and Electronic Engineering

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