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

Volume

29

Issue

5

fYear

2014

fDate

Sept. 2014

Firstpage

2567

Lastpage

2568

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;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2014.2301592

Filename

6736136