Power Systems Engineering Research Center

Project Summaries

Power Markets

Reliability Metrics for Renewable Resources and Self-Reserves (M-33)

Summary With the influx of renewable resources, maintaining system reliability at minimal cost is a challenge. New control technologies are being developed that enable non-dispatchable renewable resources to transition to assets that are semi-dispatchable. It is anticipated that renewables will be expected to provide self-reserve in the near future. New reliability metrics are necessary to evaluate both (a) the impact of non-dispatchable renewables on reserve requirements, as well as (b) future technologies that enable renewable resources to provide self-reserve. This project will develop improved stochastic models of renewables (the focus will be wind but the work can be generalized for other uncertain resources), techniques to determine the optimal level of self-reserve for these resources to provide, new reliability metrics to determine the impact on system reserve requirements, and quantify the value proposition of renewable self-reserve.
Academic Team Members Project Leader: Kory Hedman (Arizona State University, Kory.Hedman@asu.edu)
Team members: Junshan Zhang (Arizona State University., Junshan.Zhang@asu.edu)
Shmuel Oren (University of California, Berkeley, oren@ieor.berkeley.edu)
Alberto Lamadrid (Lehigh University, ajlamadrid@lehigh.edu)
Industry Team Members Jim Price (CA ISO), Erik Ela (EPRI), Bob Entriken (EPRI), Evangelos Farantatos (EPRI), Eamonn Lannoye (EPRI), Aidan Tuohy (EPRI), Khaled Bahei-eldin (GE), Nikhil Kumar (GE), Tongxin Zheng (ISO NE), Nivad Navid (MISO), Dejan Sobajic (NY ISO), Hong Chen (PJM)