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Title: Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems Extreme Weather Resilience

Abstract

We present novel stochastic optimization models to improve power systems resilience to extreme weather events. We consider proactive redispatch, transmission line hardening, and transmission line capacity increases as alternatives for mitigating expected load shed due to extreme weather. Our model is based on linearized or "DC" optimal power flow, similar to models in widespread use by independent system operators (ISOs) and regional transmission operators (RTOs). Our computational experiments indicate that proactive redispatch alone can reduce the expected load shed by as much as 25% relative to standard economic dispatch. This resiliency enhancement strategy requires no capital investments and is implementable by ISOs and RTOs solely through operational adjustments. We additionally demonstrate that transmission line hardening and increases in transmission capacity can, in limited quantities, be effective strategies to further enhance power grid resiliency, although at significant capital investment cost. We perform a cross validation analysis to demonstrate the robustness of proposed recommendations. Our proposed model can be augmented to incorporate a variety of other operational and investment resilience strategies, or combination of such strategies.

Authors:
 [1];  [2];  [2];  [2];  [3];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Purdue Univ., West Lafayette, IN (United States). Davidson School of Chemical Engineering
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Electricity (OE); Dept. of Homeland Security (DHS) (United States)
OSTI Identifier:
1492392
Report Number(s):
SAND-2018-9647J
Journal ID: ISSN 9999-0042; 667558
DOE Contract Number:  
NA0003525
Resource Type:
Journal Article
Journal Name:
Optimization Online Repository
Additional Journal Information:
Journal Volume: 2018; Journal ID: ISSN 9999-0042
Publisher:
Mathematical Optimization Society
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Bynum, Michael, Staid, Andrea, Arguello, Bryan, Castillo, Anya, Watson, Jean-Paul, and Laird, Carl D. Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems Extreme Weather Resilience. United States: N. p., 2018. Web.
Bynum, Michael, Staid, Andrea, Arguello, Bryan, Castillo, Anya, Watson, Jean-Paul, & Laird, Carl D. Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems Extreme Weather Resilience. United States.
Bynum, Michael, Staid, Andrea, Arguello, Bryan, Castillo, Anya, Watson, Jean-Paul, and Laird, Carl D. Wed . "Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems Extreme Weather Resilience". United States. https://www.osti.gov/servlets/purl/1492392.
@article{osti_1492392,
title = {Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems Extreme Weather Resilience},
author = {Bynum, Michael and Staid, Andrea and Arguello, Bryan and Castillo, Anya and Watson, Jean-Paul and Laird, Carl D.},
abstractNote = {We present novel stochastic optimization models to improve power systems resilience to extreme weather events. We consider proactive redispatch, transmission line hardening, and transmission line capacity increases as alternatives for mitigating expected load shed due to extreme weather. Our model is based on linearized or "DC" optimal power flow, similar to models in widespread use by independent system operators (ISOs) and regional transmission operators (RTOs). Our computational experiments indicate that proactive redispatch alone can reduce the expected load shed by as much as 25% relative to standard economic dispatch. This resiliency enhancement strategy requires no capital investments and is implementable by ISOs and RTOs solely through operational adjustments. We additionally demonstrate that transmission line hardening and increases in transmission capacity can, in limited quantities, be effective strategies to further enhance power grid resiliency, although at significant capital investment cost. We perform a cross validation analysis to demonstrate the robustness of proposed recommendations. Our proposed model can be augmented to incorporate a variety of other operational and investment resilience strategies, or combination of such strategies.},
doi = {},
url = {https://www.osti.gov/biblio/1492392}, journal = {Optimization Online Repository},
issn = {9999-0042},
number = ,
volume = 2018,
place = {United States},
year = {2018},
month = {8}
}