Probabilistic Zonal Reserve Requirements for Improved Energy Deliverability with Wind Power

Journal Article · Wed May 06 00:00:00 EDT 2020 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/TPWRS.2020.2992763· OSTI ID:1649200

Park, Byungkwon ^[1]; Zhou, Zhi ^[2]; Botterud, Audun ^[2]; Thimmapuram, Prakash ^[2]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
2. Argonne National Lab. (ANL), Argonne, IL (United States)

In power systems with high penetration of renewable energy resources, uncertainty and variability of these stochastic resources introduce additional challenges for the operation of power systems. To improve the power system's reliability in the face of uncertainty, reserves are required as additional generation capacity to rebalance the power system following random disturbances. However, reserve deliverability is not guaranteed, because it may encounter potential transmission line congestion. Zonal reserve requirements can address this issue, but operators lack efficient ways to allocate reserves to zones while accounting for wind power forecast uncertainty. Herein we propose a methodology for probabilistic zonal reserve requirements to address wind power forecast uncertainties. This method estimates the probability distribution of line flows based on the system generation margin and injection shift factor. This estimate is then used to construct pre-defined and post-zonal reserve requirements. Case studies demonstrate that the proposed method efficiently schedules energy and reserves to balance energy and manage deliverability with wind power forecast uncertainty.We also discuss operational implications of the proposed method.

• Research Organization: Argonne National Laboratory (ANL), Argonne, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• Grant/Contract Number: AC02-06CH11357; AC05-00OR22725
• OSTI ID: 1649200
• Alternate ID(s): OSTI ID: 1777906
• Journal Information: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 6 Vol. 35; ISSN 0885-8950
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

17 WIND ENERGY
deliverability
generation margin
security-constrained unit commitment
wind power
zonal reserve