Small-signal stability verification issues for transmission systems with distributed renewables

Richard Y. Zhang; Jorge Elizondo; James L. Kirtley; Jacob K. White

doi:10.1109/PESGM.2016.7741724

Small-signal stability verification issues for transmission systems with distributed renewables

Richard Y. Zhang, Jorge Elizondo, James L. Kirtley, Jacob K. White

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

High penetrations of distributed renewables can dramatically increase uncertainty in the transmission system, making small-signal stability verification far more challenging. In this paper, we examine the impact of generating 30% of the power in the IEEE 118 bus test network with 118 distributed renewable sources, and show the inadequacy of sampling approaches to stability analysis. We show that multipoint local optimization can find less stable scenarios that are easily missed by sampling. In addition, we show that stability verification (or certification) is computationally tractable, but as yet, only by linearizing and dimension-reducing the parametric variation.

Original language	English (US)
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741724
State	Published - Nov 10 2016
Externally published	Yes
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: Jul 17 2016 → Jul 21 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	7/17/16 → 7/21/16

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Online availability

10.1109/PESGM.2016.7741724

Library availability

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Cite this

Zhang, R. Y., Elizondo, J., Kirtley, J. L., & White, J. K. (2016). Small-signal stability verification issues for transmission systems with distributed renewables. In 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 [7741724] (IEEE Power and Energy Society General Meeting; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741724

Small-signal stability verification issues for transmission systems with distributed renewables. / Zhang, Richard Y.; Elizondo, Jorge; Kirtley, James L. et al.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741724 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, RY, Elizondo, J, Kirtley, JL & White, JK 2016, Small-signal stability verification issues for transmission systems with distributed renewables. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741724, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 7/17/16. https://doi.org/10.1109/PESGM.2016.7741724

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AB - High penetrations of distributed renewables can dramatically increase uncertainty in the transmission system, making small-signal stability verification far more challenging. In this paper, we examine the impact of generating 30% of the power in the IEEE 118 bus test network with 118 distributed renewable sources, and show the inadequacy of sampling approaches to stability analysis. We show that multipoint local optimization can find less stable scenarios that are easily missed by sampling. In addition, we show that stability verification (or certification) is computationally tractable, but as yet, only by linearizing and dimension-reducing the parametric variation.

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Small-signal stability verification issues for transmission systems with distributed renewables

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