Long duration battery sizing, siting, and operation under wildfire risk using progressive hedging
Journal Article
·
· Electric Power Systems Research
- Georgia Institute of Technology, Atlanta, GA (United States)
- Carnegie Mellon Univ., Pittsburgh, PA (United States)
- North Carolina State University, Raleigh, NC (United States)
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Battery sizing and siting problems are computationally challenging due to the need to make long-term planning decisions that are cognizant of short-term operational decisions. This paper considers sizing, siting, and operating batteries in a power grid to maximize their benefits, including price arbitrage and load shed mitigation, during both normal operations and periods with high wildfire ignition risk. Here we formulate a multi-scenario optimization problem for long duration battery storage while considering the possibility of load shedding during Public Safety Power Shutoff (PSPS) events that de-energize lines to mitigate severe wildfire ignition risk. To enable a computationally scalable solution of this problem with many scenarios of wildfire risk and power injection variability, we develop a customized temporal decomposition method based on a progressive hedging framework. Extending traditional progressive hedging techniques, we consider coupling in both placement variables across all scenarios and state-of-charge variables at temporal boundaries. This enforces consistency across scenarios while enabling parallel computations despite both spatial and temporal coupling. The proposed decomposition facilitates efficient and scalable modeling of a full year of hourly operational decisions to inform the sizing and siting of batteries. With this decomposition, we model a year of hourly operational decisions to inform optimal battery placement for a 240-bus WECC model in under 70 min of wall-clock time.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE; USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344
- OSTI ID:
- 2440795
- Alternate ID(s):
- OSTI ID: 2382730
- Report Number(s):
- LLNL--JRNL-869206; 1105662
- Journal Information:
- Electric Power Systems Research, Journal Name: Electric Power Systems Research Vol. 235; ISSN 0378-7796
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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