A Fast Flexibility-Driven Generation Portfolio Planning Method for Sustainable Power Systems

Journal Article · Thu May 28 04:00:00 EDT 2020 · IEEE Transactions on Sustainable Energy

DOI:https://doi.org/10.1109/TSTE.2020.2998408· OSTI ID:1769873

Dhaliwal, Navdeep Kaur; Bouffard, François; O'Malley, Mark

We are witnessing an acceleration in the uptake of renewable energy in power systems. Because of the associated variability and uncertainty of renewables, power systems need to have an adequate supply of flexibility to allow for suitable management of short-term operations. So far most of the work in this area has neglected how flexibility needs associated with renewables are fulfilled as part of dispatchable generation capital investments decisions. To address this challenge, we propose an approach to plan the dispatchable generation mix of a power system as needed to counteract variability and uncertainty associated with significant shares of variable renewable generation. The approach exploits the linear time-invariant feature of variable generation variability using historical phase planes of capacity (in MW) and ramp (in MW/min) to bridge the gap between long-term capacity planning and short-term intra-hour flexibility needs. This approach is much more computationally tractable than other proposals, while also being able to capture adequately short-term operational features like ramping and net load variability. Numerical tests are performed on realistic datasets to substantiate the effectiveness of the approach.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1769873
• Report Number(s): NREL/JA-5C00-79373; MainId:33599; UUID:c729837f-d973-458e-b6fd-45323949e248; MainAdminID:19860
• Journal Information: IEEE Transactions on Sustainable Energy, Journal Name: IEEE Transactions on Sustainable Energy Journal Issue: 1 Vol. 12
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
bulk power system planning
computational tractability
flexibility
ramping
renewable energy generation
variability