Title :
Adapting AGC to manage high renewable resource penetrations
Author :
Masiello, R.D. ; Katzenstein, W.P.
Abstract :
High penetration of renewable resources threatens to increase requirements for power system regulation services even as conventional and controllable resources are displaced. Recent FERC orders for “MW Mile” or “Pay for Performance” may increase the costs for those services. Automatic Generation Control processes and algorithms need to adapt to these changes so as to effectively provide adequate system performance at best cost.
Keywords :
power generation control; power system management; renewable energy sources; AGC; FERC order; automatic generation control; high renewable resource penetrations management; power system regulation services; Algorithm design and analysis; Automatic generation control; Heuristic algorithms; Production; Real-time systems; System performance; Wind forecasting; Automatic Generation Control; Renewable Integration;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345486
