A Framework for Robust Long-Term Voltage Stability of Distribution Systems

Nguyen, Hung D.; Dvijotham, Krishnamurthy; Yu, Suhyoun; Turitsyn, Konstantin

doi:10.1109/TSG.2018.2869032

Title: A Framework for Robust Long-Term Voltage Stability of Distribution Systems

Abstract

Power injection uncertainties in distribution power grids, which are mostly induced by aggressive introduction of intermittent renewable sources, may drive the system away from normal operating regimes and potentially lead to the loss of long-term voltage stability (LTVS). Naturally, there is an ever increasing need for a tool for assessing the LTVS of a distribution system. This paper presents a fast and reliable tool for constructing inner approximations of LTVS regions in multidimensional injection space such that every point in our constructed region is guaranteed to be solvable. Numerical simulations demonstrate that our approach outperforms all existing inner approximation methods in most cases. Furthermore, the constructed regions are shown to cover substantial fractions of the true voltage stability region. In conclusion, the paper will later discuss a number of important applications of the proposed technique, including fast screening for viable injection changes, constructing an effective solvability index and rigorously certified loadability limits.

Authors:

Nguyen, Hung D. ^[1]; Dvijotham, Krishnamurthy ^[2]; Yu, Suhyoun ^[1]; Turitsyn, Konstantin ^[1]

Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Washington State Univ., Pullman, WA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Publication Date:: Thu Sep 06 00:00:00 EDT 2018

Research Org.:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1471070

Grant/Contract Number:: AC05-76RL01830

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Smart Grid

Additional Journal Information:: Journal Volume: 10; Journal Issue: 5; Journal ID: ISSN 1949-3053

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; inner approximation; power flow; voltage stability

Citation Formats


                    Nguyen, Hung D., Dvijotham, Krishnamurthy, Yu, Suhyoun, and Turitsyn, Konstantin. A Framework for Robust Long-Term Voltage Stability of Distribution Systems.  United States: N. p., 2018. 
Web.  doi:10.1109/TSG.2018.2869032.

Copy to clipboard


                    Nguyen, Hung D., Dvijotham, Krishnamurthy, Yu, Suhyoun, & Turitsyn, Konstantin. A Framework for Robust Long-Term Voltage Stability of Distribution Systems.  United States.  https://doi.org/10.1109/TSG.2018.2869032

Copy to clipboard


                    Nguyen, Hung D., Dvijotham, Krishnamurthy, Yu, Suhyoun, and Turitsyn, Konstantin. Thu .  
"A Framework for Robust Long-Term Voltage Stability of Distribution Systems".  United States.  https://doi.org/10.1109/TSG.2018.2869032.  https://www.osti.gov/servlets/purl/1471070.

Copy to clipboard


                    
@article{osti_1471070,

  title        = {A Framework for Robust Long-Term Voltage Stability of Distribution Systems},

  author       = {Nguyen, Hung D. and Dvijotham, Krishnamurthy and Yu, Suhyoun and Turitsyn, Konstantin},

  abstractNote = {Power injection uncertainties in distribution power grids, which are mostly induced by aggressive introduction of intermittent renewable sources, may drive the system away from normal operating regimes and potentially lead to the loss of long-term voltage stability (LTVS). Naturally, there is an ever increasing need for a tool for assessing the LTVS of a distribution system. This paper presents a fast and reliable tool for constructing inner approximations of LTVS regions in multidimensional injection space such that every point in our constructed region is guaranteed to be solvable. Numerical simulations demonstrate that our approach outperforms all existing inner approximation methods in most cases. Furthermore, the constructed regions are shown to cover substantial fractions of the true voltage stability region. In conclusion, the paper will later discuss a number of important applications of the proposed technique, including fast screening for viable injection changes, constructing an effective solvability index and rigorously certified loadability limits.},

  doi          = {10.1109/TSG.2018.2869032},

  journal      = {IEEE Transactions on Smart Grid},

  number       = 5,

  volume       = 10,

  place        = {United States},

  year         = {Thu Sep 06 00:00:00 EDT 2018},

  month        = {Thu Sep 06 00:00:00 EDT 2018}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.1109/TSG.2018.2869032

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 8 works

Citation information provided by
Web of Science

Figures / Tables:

Fig. 1: The performance of the fast screening algorithm against a CPF-based approach

All figures and tables (11 total)

Save / Share:

Export Metadata

Save to My Library

Figures / Tables found in this record:

Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.

Similar Records in DOE PAGES and OSTI.GOV collections:

Distributed Barrier Certificates for Safe Operation of Inverter-Based Microgrids

Conference Kundu, Soumya ; Geng, Sijia ; Nandanoori, Sai Pushpak ; ...

Inverter-interfaced microgrids differ from the traditional power systems due to their lack of inertia. Vanishing timescale separation between voltage and frequency dynamics makes it critical that faster-timescale stabilizing control laws also guarantee by-construction the satisfaction of voltage limits during transients. In this article, we apply a barrier functions method to compute distributed active and reactive power setpoint control laws that certify satisfaction of voltage limits during transients. Using sum-of-squares optimization tools, we propose an algorithmic construction of these control laws. Numerical simulations are provided to illustrate the proposed method.
https://doi.org/10.23919/ACC.2019.8815296
Optimal Power Flow in DC Networks with Robust Feasibility and Stability Guarantees

Journal Article Liu, Jianzhe ; Cui, Bai ; Molzahn, Daniel K. ; ... - IEEE Transactions on Control of Network Systems

With high penetrations of renewable generation and variable loads, there is significant uncertainty associated with power flows in DC networks such that stability and operational constraint satisfaction are of concern. Most existing DC network optimal power flow (DN-OPF) formulations assume exact knowledge of loading conditions and do not provide stability guarantees. Here, in contrast, this paper studies a DN-OPF formulation which considers both stability and operational constraint satisfaction under uncertainty. The need to account for a range of uncertainty realizations in this paper's robust optimization formulation results in a challenging semi-infinite program (SIP). The proposed solution algorithm reformulates this SIPmore »« less
https://doi.org/10.1109/TCNS.2021.3124932

Full Text Available
Q-V curve interpretations of energy measures for voltage security

Journal Article Overbye, T J ; Dobson, I ; DeMarco, C L - IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States)

Energy methods have shown promise as measures for quantifying the vulnerability of power systems to problems of voltage instability and collapse. However, to make such measures more useful as a security assessment tool in an operational environment, it is important to provide physical interpretations of the quantitative measure. This paper will demonstrate that for certain basic load models, the energy based security measure is equal to the area enclosed by a familiar Q-V curve, with a change of scale on the voltage axis. This interpretation has the added benefit of providing easily computed approximations to the maximum real and reactivemore »« less
https://doi.org/10.1109/59.317593
Energy-Storage Fed Smart Inverters for Mitigation of Voltage Fluctuations in Islanded Microgrids

Conference Pilehvar, Mohsen S. ; Mirafzal, Behrooz - 2020 IEEE Electric Power and Energy Conference (EPEC)

The continuous integration of intermittent low-carbon energy resources makes islanded microgrids vulnerable to voltage fluctuations. Besides, different dynamic response of synchronous-based and inverter-based distributed generation (DG) units can result in an instantaneous power imbalance between supply and demand during transients. As a result, the ac-bus voltage of microgrid starts oscillating which might have severe consequences such as blackouts. This paper modifies the conventional control scheme of battery energy storage systems (BESSs) to participate in improving the dynamic behavior of islanded microgrids by mitigating the voltage fluctuations. A piecewise linear-elliptic (PLE) droop is proposed and employed in BESS to achieve anmore »« less
https://doi.org/10.1109/epec48502.2020.9319911

Full Text Available
Network-Cognizant Voltage Droop Control for Distribution Grids

Journal Article Baker, Kyri ; Bernstein, Andrey ; Dall'Anese, Emiliano ; ... - IEEE Transactions on Power Systems

Our paper examines distribution systems with a high integration of distributed energy resources (DERs) and addresses the design of local control methods for real-time voltage regulation. Particularly, the paper focuses on proportional control strategies where the active and reactive output-powers of DERs are adjusted in response to (and proportionally to) local changes in voltage levels. The design of the voltage-active power and voltage-reactive power characteristics leverages suitable linear approximation of the AC power-flow equations and is network-cognizant; that is, the coefficients of the controllers embed information on the location of the DERs and forecasted non-controllable loads/injections and, consequently, on themore »« less
Cited by 68
https://doi.org/10.1109/TPWRS.2017.2735379

Full Text Available

Similar Records