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Quantitative Small-Signal Stability Analysis of Grid-Forming Inverters in Large-Scale Power Systems
In this paper, the challenges induced by the integration of inverter-based resources (IBRs) into existing power systems are discussed. Although the grid-forming (GFM) control has been used to enhance system performance in multiple sections of electric power systems (e.g., transmis...
Ding, L. et al Purdue University
Dec 31, 2022
DMS Advanced Applications for Accommodating High Penetrations of DERs and Microgrids: Preprint
Efficient and effective management of the electrical distribution system requires an integrated system approach for Distribution Management Systems (DMS), Distributed Energy Resources (DERs), Distributed Energy Resources Management System (DERMS), and microgrids to work in harmony...
Maitra, A. et al Electric Power Research Institute
Dec 31, 2016
Value Streams in Microgrids: A literature Review
Microgrids are an increasingly common component of the evolving electricity grids with the potential to improve local reliability, reduce costs, and increase penetration rates for distributed renewable generation. The additional complexity of microgrids often leads to increased in...
Stadler, M. et al Lawrence Berkeley National Laboratory
Dec 31, 2015
Improved Control Strategy of Grid-Forming Inverters for Fault Ride-Through in a Microgrid System
This paper develops an improved control strategy of grid-forming (GFM) inverters with fault ride-through capabilities to guarantee the stable operation of microgrids under fault conditions, especially islanded microgrids and asymmetrical faults. The proposed control strategy inclu...
Wang, J. NLR
Dec 31, 2021
Hierarchical Data-Driven Protection for Microgrid with 100% Renewable Penetration: Preprint
The accurate detection and isolation of faults is critical for the reliable operation of microgrids (MGs). Traditional protection approaches are even more challenged for 100% renewable MGs because inverter-based resources (IBRs) are the only sources for fault current which are usu...
Zamzam, A. and Wang, J. NLR
Oct 31, 2023
Design of Zone-Based Hierarchical Protection System for 100% Renewable Microgrids: Preprint
Design of a reliable and secure protection system for a 100% renewable microgrid with only inverter-based resources (IBRs), is quite challenging. Most of the existing protection schemes in the state-of-the-art are suitable for microgrids with mixed-type of distributed energy resou...
Chakraborty, S. and Wang, J. NLR
May 31, 2024
A SVM-Based Synchronized Fault Detection for 100% Renewable Microgrids: Preprint
Traditional protection schemes face significant challenges when applied to microgrids with high penetrations of renewables with inverter-based resources (IBRs). The proliferation of advanced sensing and communication technologies has generated copious data, offering an opportunity...
Chakraborty, S. et al NLR
Oct 31, 2024
SVM-Based Synchronized Fault Detection for 100% Renewable Microgrids
Traditional protection schemes face significant challenges when applied to microgrids with high penetrations of renewables with inverter-based resources (IBRs). The proliferation of advanced sensing and communication technologies has generated copious data, offering an opportunity...
Chakraborty, S. et al NLR
Dec 31, 2024
Development of a Practical Secondary Control for Hardware Microgrids
Practical, vendor-agnostic interoperability guidelines for the secondary control architecture of microgrids (MGs) with multiple grid-forming (GFM) inverter-based resources (IBRs) have not yet been developed. Therefore, this paper proposes a generic and vendor-agnostic secondary co...
Chakraborty, S. et al NLR
Dec 31, 2024
Decentralized Microgrid Protection Through Relative Fault Direction Classification: Preprint
Protection in inverter-based resources (IBRs) dominated microgrids generally face significant challenges due to the low fault current and inconsistent fault behaviors from IBRs. Recently, machine learning-based approaches have attracted considerable attention to address these chal...
Chen, Y. et al NLR
Aug 31, 2024
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