Enabling Aggregation of Heterogenous Grid-Forming Inverters via Enclaved Homogenization Article Swipe

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Muhammad F. Umar , Mohsen Hosseinzadehtaher , Mohammad B. Shadmand ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1109/access.2022.3204340

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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Homogenization (climate) Computer science Grid Mathematics Geometry Biodiversity Biology Ecology

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Type: article
Language: en
Landing Page: https://doi.org/10.1109/access.2022.3204340
PDF: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09877861.pdf
OA Status: gold
Cited By: 13
References: 34
Related Works: 10
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DOI: https://doi.org/10.1109/access.2022.3204340

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Title: Enabling Aggregation of Heterogenous Grid-Forming Inverters via Enclaved Homogenization

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-01-01

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Authors: Muhammad F. Umar, Mohsen Hosseinzadehtaher, Mohammad B. Shadmand

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Landing page: https://doi.org/10.1109/access.2022.3204340

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Concepts: Homogenization (climate), Computer science, Grid, Mathematics, Geometry, Biodiversity, Biology, Ecology

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Cited by: 13

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abstract_inverted_index.insightful	101, 118
abstract_inverted_index.inverters.	63
abstract_inverted_index.Aggregation	94
abstract_inverted_index.aggregation	26, 119, 203
abstract_inverted_index.assessment,	67
abstract_inverted_index.boundaries.	93
abstract_inverted_index.challenging	74
abstract_inverted_index.comparative	216
abstract_inverted_index.distributed	38
abstract_inverted_index.electronics	19
abstract_inverted_index.homogeneity	8, 114
abstract_inverted_index.homogenized	138
abstract_inverted_index.interaction	140
abstract_inverted_index.penetration	32
abstract_inverted_index.resiliency.	148
abstract_inverted_index.situational	69
abstract_inverted_index.traditional	44, 88
abstract_inverted_index.coordination	180
abstract_inverted_index.grid-forming	14, 60
abstract_inverted_index.heterogenous	10, 53, 78, 105
abstract_inverted_index.interaction.	30
abstract_inverted_index.coordination,	65
abstract_inverted_index.effectiveness	193
abstract_inverted_index.fluctuations.	166
abstract_inverted_index.grid-following	62
abstract_inverted_index.synchronization	162
abstract_inverted_index.characteristics.	106
cited_by_percentile_year.max	99
cited_by_percentile_year.min	98
countries_distinct_count	1
institutions_distinct_count	3
sustainable_development_goals[0].id	https://metadata.un.org/sdg/7
sustainable_development_goals[0].score	0.8500000238418579
sustainable_development_goals[0].display_name	Affordable and clean energy
citation_normalized_percentile.value	0.83564828
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False