Integrating the Value of Electricity Resilience in Energy Planning and Operations Decisions

Anderson, Katherine H.; Li, Xiangkun; Dalvi, Sourabh; Ericson, Sean J.; Barrows, Clayton P.; Murphy, Caitlin; Hotchkiss, Elizabeth L.

doi:10.1109/JSYST.2019.2961298

Title: Integrating the Value of Electricity Resilience in Energy Planning and Operations Decisions

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Abstract

The recent increase in the number of natural disasters resulting in widespread, long-duration, and costly outages have brought the energy system resilience to the forefront. As system owners and operators seek to improve the system resilience, they often find it challenging to assess the costs and benefits of resilience investments. Costs are fairly well understood and measured, but benefits are less so. There are many resilience metrics that attempt to measure resilience benefit, but the existing methods for calculating metrics and incorporating value of resilience in energy decisions are not easily executed. To address this, we developed a method for modeling the value of resilience that is flexible and scalable across multiple types of models. This article describes a framework for incorporating duration-dependent customer damage functions (CDFs) into grid- and campus-scale planning and operations models. In two case studies, we consider how the duration-dependent value of resilience influences the investment and operation decisions. We find that in both cases, knowledge of the value of lost load provides opportunities to reduce the lifecycle cost of energy through adjusted investment or operational decisions. The primary contribution of this research is to integrate the duration-dependent value of resilience in energy decisions. This studymore »« less

Authors:

^[1]; Li, Xiangkun ^[1]; Dalvi, Sourabh ^[1]; Ericson, Sean J. ^[1]; Barrows, Clayton P. ^[1]; Murphy, Caitlin ^[1]; Hotchkiss, Elizabeth L. ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: Thu Jan 09 00:00:00 EST 2020

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:: 1592397

Report Number(s):: NREL/JA-7A40-74957
Journal ID: ISSN 1932-8184; MainId:20660;UUID:af0558c3-67db-e911-9c26-ac162d87dfe5;MainAdminID:9136

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Systems Journal

Additional Journal Information:: Journal Volume: 15; Journal Issue: 1; Journal ID: ISSN 1932-8184

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 29 ENERGY PLANNING, POLICY, AND ECONOMY; energy planning and operations model; energy resilience; resilience metric; value of resilience

Citation Formats


                    Anderson, Katherine H., Li, Xiangkun, Dalvi, Sourabh, Ericson, Sean J., Barrows, Clayton P., Murphy, Caitlin, and Hotchkiss, Elizabeth L. Integrating the Value of Electricity Resilience in Energy Planning and Operations Decisions.  United States: N. p., 2020. 
Web.  doi:10.1109/JSYST.2019.2961298.

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                    Anderson, Katherine H., Li, Xiangkun, Dalvi, Sourabh, Ericson, Sean J., Barrows, Clayton P., Murphy, Caitlin, & Hotchkiss, Elizabeth L. Integrating the Value of Electricity Resilience in Energy Planning and Operations Decisions.  United States.  https://doi.org/10.1109/JSYST.2019.2961298

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                    Anderson, Katherine H., Li, Xiangkun, Dalvi, Sourabh, Ericson, Sean J., Barrows, Clayton P., Murphy, Caitlin, and Hotchkiss, Elizabeth L. Thu .  
"Integrating the Value of Electricity Resilience in Energy Planning and Operations Decisions".  United States.  https://doi.org/10.1109/JSYST.2019.2961298.  https://www.osti.gov/servlets/purl/1592397.

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@article{osti_1592397,

  title        = {Integrating the Value of Electricity Resilience in Energy Planning and Operations Decisions},

  author       = {Anderson, Katherine H. and Li, Xiangkun and Dalvi, Sourabh and Ericson, Sean J. and Barrows, Clayton P. and Murphy, Caitlin and Hotchkiss, Elizabeth L.},

  abstractNote = {The recent increase in the number of natural disasters resulting in widespread, long-duration, and costly outages have brought the energy system resilience to the forefront. As system owners and operators seek to improve the system resilience, they often find it challenging to assess the costs and benefits of resilience investments. Costs are fairly well understood and measured, but benefits are less so. There are many resilience metrics that attempt to measure resilience benefit, but the existing methods for calculating metrics and incorporating value of resilience in energy decisions are not easily executed. To address this, we developed a method for modeling the value of resilience that is flexible and scalable across multiple types of models. This article describes a framework for incorporating duration-dependent customer damage functions (CDFs) into grid- and campus-scale planning and operations models. In two case studies, we consider how the duration-dependent value of resilience influences the investment and operation decisions. We find that in both cases, knowledge of the value of lost load provides opportunities to reduce the lifecycle cost of energy through adjusted investment or operational decisions. The primary contribution of this research is to integrate the duration-dependent value of resilience in energy decisions. This study will be useful to grid operators interested in reducing the value of customer losses during grid outages, as well as campus or site owners evaluating resilience investments.},

  doi          = {10.1109/JSYST.2019.2961298},

  journal      = {IEEE Systems Journal},

  number       = 1,

  volume       = 15,

  place        = {United States},

  year         = {Thu Jan 09 00:00:00 EST 2020},

  month        = {Thu Jan 09 00:00:00 EST 2020}

}

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