Title :
AGC Signal Modeling for Energy Storage Operations
Author :
Donadee, Jonathan ; Jianhui Wang
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Energy storage resources (ESRs) are being used for secondary frequency regulation in the bulk electric power grid. In order to optimize the economic scheduling of an ESR using look-ahead model predictive control, predictive models of the automatic generation control (AGC) signal and its effect on an ESR´s state of charge are needed. In this letter, we suggest a straightforward and effective procedure for forecasting the next state of charge for an ESR that provides regulation service in a liberalized market setting.
Keywords :
automatic frequency control; automatic gain control; energy storage; load forecasting; power grids; power markets; power system control; power system economics; predictive control; AGC signal modeling; ESR; automatic generation control; bulk electric power grid; economic scheduling optimization; energy storage resource; liberalized market setting; load forecasting; look-ahead model predictive control; secondary frequency regulation; Automatic generation control; Autoregressive processes; Forecasting; Frequency control; Mathematical model; Predictive models; System-on-chip; Automatic generation control (AGC); energy storage; forecasting; state of charge;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2301592
