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Title: An ODE-Enabled Distributed Transient Stability Analysis for Networked Microgrids

Abstract

Networked microgrid (NMG) exhibits noteworthy resiliency and flexibility benefits for the mutual support from neighboring microgrids. With high penetration of distributed energy resources (DERs) and the associated controls, the transient stability analysis of NMGs is of critical significance. To address the issues of computation burdens and privacy in the centralized transient analysis, this paper devises an ordinary differential equation (ODE)-enabled distributed transient stability (DTS) methodology for NMGs. First, an ODE-based microgrid model is established to capture the dynamics in the droop control of DERs as well as network and load. Further, a distributed DTS is devised for the ODE representation of an NMG, allowing a privacy-preserving transient analysis of each microgrid while accurately reconstructing the frequency dynamics under droop controls in all DERs. In conclusion, extensive tests are performed to verify the validity of the ODE-based microgrid model through both dynamic response and eigenvalue analysis, and the efficacy of the DTS algorithm in simulating the large signal responses and the frequent fluctuations in NMG.

Authors:
 [1];  [1];  [2]
  1. Stony Brook Univ., NY (United States)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research
OSTI Identifier:
1668662
Report Number(s):
BNL-219847-2020-JAAM
Journal ID: ISSN 1944-9933
Grant/Contract Number:  
SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Power & Energy Society General Meeting (Online)
Additional Journal Information:
Journal Name: IEEE Power & Energy Society General Meeting (Online); Journal Volume: 2020; Conference: 2020 IEEE Power & Energy Society General Meeting (PESGM), Montreal, QC (Canada), 2-6 Aug 2020; Journal ID: ISSN 1944-9933
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; Networked microgrids; distributed transient stability analysis; ordinary differential equations; droop control

Citation Formats

Zhou, Yifan, Zhang, Peng, and Yue, Meng. An ODE-Enabled Distributed Transient Stability Analysis for Networked Microgrids. United States: N. p., 2020. Web. doi:10.1109/pesgm41954.2020.9282139.
Zhou, Yifan, Zhang, Peng, & Yue, Meng. An ODE-Enabled Distributed Transient Stability Analysis for Networked Microgrids. United States. https://doi.org/10.1109/pesgm41954.2020.9282139
Zhou, Yifan, Zhang, Peng, and Yue, Meng. Wed . "An ODE-Enabled Distributed Transient Stability Analysis for Networked Microgrids". United States. https://doi.org/10.1109/pesgm41954.2020.9282139. https://www.osti.gov/servlets/purl/1668662.
@article{osti_1668662,
title = {An ODE-Enabled Distributed Transient Stability Analysis for Networked Microgrids},
author = {Zhou, Yifan and Zhang, Peng and Yue, Meng},
abstractNote = {Networked microgrid (NMG) exhibits noteworthy resiliency and flexibility benefits for the mutual support from neighboring microgrids. With high penetration of distributed energy resources (DERs) and the associated controls, the transient stability analysis of NMGs is of critical significance. To address the issues of computation burdens and privacy in the centralized transient analysis, this paper devises an ordinary differential equation (ODE)-enabled distributed transient stability (DTS) methodology for NMGs. First, an ODE-based microgrid model is established to capture the dynamics in the droop control of DERs as well as network and load. Further, a distributed DTS is devised for the ODE representation of an NMG, allowing a privacy-preserving transient analysis of each microgrid while accurately reconstructing the frequency dynamics under droop controls in all DERs. In conclusion, extensive tests are performed to verify the validity of the ODE-based microgrid model through both dynamic response and eigenvalue analysis, and the efficacy of the DTS algorithm in simulating the large signal responses and the frequent fluctuations in NMG.},
doi = {10.1109/pesgm41954.2020.9282139},
journal = {IEEE Power & Energy Society General Meeting (Online)},
number = ,
volume = 2020,
place = {United States},
year = {Wed Dec 16 00:00:00 EST 2020},
month = {Wed Dec 16 00:00:00 EST 2020}
}