Abstract
In the modern power grid, with the growing penetration of renewable and distributed energy systems, the use of parallel inverters has significantly increased. It is essential to achieve stable parallel operation and reasonable power sharing between these parallel inverters. Droop controllers are commonly used to control the power sharing between parallel inverters in an inverter-based microgrid. In this paper, a small signal model of droop controllers with secondary loop control and an internal model-based voltage and current controller is proposed to improve the stability, resiliency, and power sharing of inverter-based distributed generation systems. The distributed generation system’s nonlinear dynamic equations are derived by incorporating the appropriate and accurate models of the network, load, phase locked loop and filters. The obtained model is then trimmed and linearized around its operating point to find the distributed generation system’s state space representation. Moreover, we optimize the critical control parameters of the model, which are found using eigenvalue analysis, and Grey Wolf optimization technique. Through time-domain simulations, we show that the proposed method improves the system’s resiliency, stability, and power sharing characteristics.
Highlights
With increasing penetration of distributed renewable energy resources in power system, the grid’s stability and operation is becoming more important
An active load of 5 kW is added to DG1 between 1 s and 1.5 s and another active load of 10 kw is connected to DG2 between 1.5 s and 2 s
Equal power sharing between the Distributed Generations (DGs) exists in steady-state condition
Summary
With increasing penetration of distributed renewable energy resources in power system, the grid’s stability and operation is becoming more important. Sustainability 2021, 13, 6699 the parameters of the inverter’s PI current controller using Particles Swarm Optimization (PSO); in [5], the SSS analysis was only performed on the PI controller and mathematical model of the other components was not considered. Sensitivity analysis is often used to determine the droop coefficients to improve the stability, resiliency, and power sharing of the IDGs [5,7,9,10,11,12,13]. [21,23] show a SSS analysis for the universal droop controller They do not investigate the effects of the critical control parameters on the resiliency of the system. We propose a novel methodology to improve the stability, resiliency, and power sharing of IDGs using GWO algorithm.
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