Original scientific paper

https://doi.org/10.1080/00051144.2019.1682867

PSO Based reduced order modelling of autonomous AC microgrid considering state perturbation

Mudita Juneja ; Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi, India
S. K. Nagar ; Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi, India
Soumya R. Mohanty ; Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi, India

Abstract

Reduced order modelling of complex autonomous microgrid system is crucial to its small signal modelling and stability concerns. To reduce the storage requirements and computational time, the order of such microgrids can be reduced by Model Order Reduction (MOR) techniques. This paper presents an optimal reduction technique, which retains dominant poles of the original system and achieves subsequent error minimization through the Particle Swarm Optimization algorithm (PSO). The 36th order complex microgrid system is reduced to 9th order approximant, which retains the significant dynamics of the original system. The simulation results reflect the superiority of the proposed method as compared to the balanced truncation method in terms of the time and frequency domain analysis of the reduced order equivalents. State perturbation in the state space model has also been considered in full as well as reduced order system dynamics and eigenvalue analysis for system stability.

Keywords

Autonomous microgrid; eigenvalue sensitivity; model order reduction; particle swarm optimization; small signal; state perturbation

Hrčak ID:

239851

URI

https://hrcak.srce.hr/239851

Publication date:

3.12.2019.

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