Abstract
In this paper, we investigated the power sharing issues in mesh islanded microgrids that contain several distributed generators (DGs) and loads connected to different points of common coupling (PCC). Firstly, an improved decentralized droop control algorithm is proposed to achieve the active and reactive power sharing of different DGs in reconfigurable mesh islanded microgrids. Accurate power sharing was obtained even though line parameters or the mesh microgrid configuration were unknown. Secondly a state-space model of the whole mesh microgrid was developed, considering several generators with their decentralized controllers, line feeders, and dynamic loads. This model was used to design parameters of droop controllers, to study the asymptotic stability and the robustness properties of the system. All strategies and analyses were validated by simulation based on the generic microgrid detailed in the standard IEEE 9bus test feeder.
Highlights
Introduction and Mousa MarzbandMicrogrids are able to integrate different distributed generator (DG) systems converting different types of renewable energy and to supply different types of loads
The established state-model was used to verify the robustness of the considered mesh microgrid, including the new droop-control that ensured active and reactive power sharing to the modifications caused by the connection of DGs and large load variations
The active and reactive power sharing method is based on a droop control algorithm that sets the frequency and voltage amplitude at the associated points of common coupling (PCC) for each DG according to Equations (1) and (2)
Summary
Microgrids are able to integrate different distributed generator (DG) systems converting different types of renewable energy and to supply different types of loads. This gives a certain level of independence, allowing them to be connected or disconnected from the main grid. Sustainability 2021, 13, 2243 the right value of the capacitor that should be added to the PCC where the CPL is connected. This means that many future studies can be conducted based on this developed and validated state-space model
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