Battery and backup generator sizing for a resilient microgrid under stochastic extreme events

Dong, Jiaojiao; Zhu, Lin; Su, Yu; Ma, Yiwei; Liu, Yilu; Wang, Fred; Tolbert, Leon M.; Glass, Jim; Bruce, Lilian

doi:10.1049/iet-gtd.2018.5883

Title: Battery and backup generator sizing for a resilient microgrid under stochastic extreme events

Abstract

Owing to the recent power outages caused by extreme events, installing battery energy storage and backup generators is important to improve resiliency for a grid-tied microgrid. In the design stage, the event occurrence time and duration, which are highly uncertain and cannot be effectively predicted, may affect the needed battery and backup generator capacity but are usually assumed to be pre-determined in utility planning tools. This study investigates the optimal battery and backup generator sizing problem considering the stochastic event occurrence time and duration for the grid-tied microgrid under islanded operation. The reliability requirement is quantified by the mean value of the critical customer interruption time in each stochastic islanding time window (ITW), whose length is the duration and the centre is the occurrence time. The stochastic ITW constraint is then transformed to a probability-weighted expression to derive an equivalent Mixed Integer Linear Programming model. Numerical simulations on a realistic grid-tied PV-based microgrid demonstrate that the total cost is reduced by 11.5% considering the stochastic ITW, compared with the deterministic ITW under the same reliability requirement.

Authors:

Dong, Jiaojiao ^[1]; Zhu, Lin ^[1]; Su, Yu ^[1]; Ma, Yiwei ^[1]; Liu, Yilu ^[2]; Wang, Fred ^[2];

^[2]; Glass, Jim ^[3]; Bruce, Lilian ^[3]

Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Electric Power Board of Chattanooga, Chattanooga, TN (United States)

Publication Date:: Tue Nov 13 00:00:00 EST 2018

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1523721

Alternate Identifier(s):: OSTI ID: 1786690

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: IET Generation, Transmission, & Distribution

Additional Journal Information:: Journal Volume: 12; Journal Issue: 20; Journal ID: ISSN 1751-8687

Publisher:: Institution of Engineering and Technology

Country of Publication:: United States

Language:: English

Subject:: 25 ENERGY STORAGE; 24 POWER TRANSMISSION AND DISTRIBUTION; battery storage plants; distributed power generation; integer programming; linear programming; photovoltaic power systems; power distribution faults; power generation reliability; power grids; probability; stochastic processes

Citation Formats


                    Dong, Jiaojiao, Zhu, Lin, Su, Yu, Ma, Yiwei, Liu, Yilu, Wang, Fred, Tolbert, Leon M., Glass, Jim, and Bruce, Lilian. Battery and backup generator sizing for a resilient microgrid under stochastic extreme events.  United States: N. p., 2018. 
Web.  doi:10.1049/iet-gtd.2018.5883.

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                    Dong, Jiaojiao, Zhu, Lin, Su, Yu, Ma, Yiwei, Liu, Yilu, Wang, Fred, Tolbert, Leon M., Glass, Jim, & Bruce, Lilian. Battery and backup generator sizing for a resilient microgrid under stochastic extreme events.  United States.  https://doi.org/10.1049/iet-gtd.2018.5883

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                    Dong, Jiaojiao, Zhu, Lin, Su, Yu, Ma, Yiwei, Liu, Yilu, Wang, Fred, Tolbert, Leon M., Glass, Jim, and Bruce, Lilian. Tue .  
"Battery and backup generator sizing for a resilient microgrid under stochastic extreme events".  United States.  https://doi.org/10.1049/iet-gtd.2018.5883.  https://www.osti.gov/servlets/purl/1523721.

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@article{osti_1523721,

  title        = {Battery and backup generator sizing for a resilient microgrid under stochastic extreme events},

  author       = {Dong, Jiaojiao and Zhu, Lin and Su, Yu and Ma, Yiwei and Liu, Yilu and Wang, Fred and Tolbert, Leon M. and Glass, Jim and Bruce, Lilian},

  abstractNote = {Owing to the recent power outages caused by extreme events, installing battery energy storage and backup generators is important to improve resiliency for a grid-tied microgrid. In the design stage, the event occurrence time and duration, which are highly uncertain and cannot be effectively predicted, may affect the needed battery and backup generator capacity but are usually assumed to be pre-determined in utility planning tools. This study investigates the optimal battery and backup generator sizing problem considering the stochastic event occurrence time and duration for the grid-tied microgrid under islanded operation. The reliability requirement is quantified by the mean value of the critical customer interruption time in each stochastic islanding time window (ITW), whose length is the duration and the centre is the occurrence time. The stochastic ITW constraint is then transformed to a probability-weighted expression to derive an equivalent Mixed Integer Linear Programming model. Numerical simulations on a realistic grid-tied PV-based microgrid demonstrate that the total cost is reduced by 11.5% considering the stochastic ITW, compared with the deterministic ITW under the same reliability requirement.},

  doi          = {10.1049/iet-gtd.2018.5883},

  journal      = {IET Generation, Transmission, & Distribution},

  number       = 20,

  volume       = 12,

  place        = {United States},

  year         = {Tue Nov 13 00:00:00 EST 2018},

  month        = {Tue Nov 13 00:00:00 EST 2018}

}

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Title: Battery and backup generator sizing for a resilient microgrid under stochastic extreme events

Abstract

Citation Formats

The Grid: Stronger, Bigger, Smarter?: Presenting a Conceptual Framework of Power System Resilience journal, May 2015

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