Comparative assessment of typical controlrealizations of grid forming converters based ontheir voltage source behaviour

Kkuni, Kanakesh Vatta; Mohan, Sibin; Yang, Guang-Hong; Xu, Wen

doi:10.48550/arxiv.2106.10048

Cited by 1 publication

(1 citation statement)

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“…Moreover, a droop control low pass filter can mimic the virtual inertia offered by the VSG and it is the special case of VSG. A comprehensive analysis on the control strategies reported in literature for the distributed generation under various operating conditions is presented in [27].The comparative assessment on various grid-forming scheme is given in [28]. A missing piece of puzzle in these existing works is the detailed dynamic interaction analysis of the commonly heterogeneous GFM inverters.…”

Section: Introductionmentioning

confidence: 99%

Enabling Aggregation of Heterogenous Grid-Forming Inverters via Enclaved Homogenization

Umar¹,

Hosseinzadehtaher²,

Shadmand³

2022

IEEE Access

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This paper proposes a control scheme to force homogeneity for heterogenous network of the grid-forming (GFM) inverters in power electronics dominated grid (PEDG) to enable their aggregation and coherent dynamic interaction. Increased penetration of the renewable energy in distributed generation (DG) fashion is moving traditional power system to a highly disperse and complex heterogenous system i.e., PEDG with fleet of grid-forming and grid-following inverters. Optimal coordination, stability assessment, and situational awareness of PEDG is challenging due to numerous heterogenous inverters operating at the grid-edge that is outside the traditional utility centric power generation boundaries. Aggregation of these inverters will not be insightful due to their heterogenous characteristics. The proposed control scheme to force enclaved homogeneity (FEH) enables an insightful aggregation of GFM that can fully mimic the given physical system dynamics. The proposed FEH scheme enables coherent and homogenized dynamic interaction of GFM inverters that enhances the PEDG resiliency. Moreover, different cluster of GFM can be merged into single cluster with minimal synchronization time and frequency fluctuations. Accurate reference models can be achieved that enables effective dynamic assessment and optimal coordination which results in resilient PEDG. Several case studies provided to validate the effectiveness of proposed FEH in network of GFM. Then, GFMs aggregation and developed reference model for the PEDG system is validated via multiple comparative case studies.

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Section: Introductionmentioning

confidence: 99%