Title :
A deterministic metric of stochastic operational flexibility
Author :
Studarus, Karen ; Christie, Richard D.
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Abstract :
Operational flexibility describes a power system´s ability to respond with controllable real power resources to rapid changes in power balance error. For balancing areas with high penetrations of stochastic generation, these changes can be large enough to cause operating problems. We propose a deterministic operational flexibility metric to summarize stochastic information about current and forecast system state and power balance error. The metric intuitively characterizes the system and gives a duty scheduler actionable intelligence that dovetails with existing deterministic indicators of system state. The resulting information-dense summary can improve schedule quality both as a visualization tool for human schedulers and as a versatile formulation for dispatch algorithms.
Keywords :
power generation dispatch; power generation scheduling; stochastic systems; deterministic operational flexibility metric; dispatch algorithms; duty scheduler actionable intelligence; human schedulers; information-dense summary; power balance error; stochastic generation; stochastic operational flexibility; system state deterministic indicators; visualization tool; Measurement; Power systems; Stochastic processes; Time series analysis; Wind forecasting; Wind power generation; Hydropower Generation; Operational Flexibility; Power System Modeling; Reserve; System Dispatch; Wind Generation;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672534