Title :
Smart Automatic Generation Control
Author :
Dingguo Chen ; Kumar, S. ; York, M. ; Lu Wang
Author_Institution :
Siemens Energy Inc., Minnetonka, MN, USA
Abstract :
While the main objectives of Automatic Generation Control (AGC) remains unchanged, it becomes more challenging to operate AGC to achieve the desired generation control performance and overall system economics performance. There is a need to make AGC smarter so that it has the capability to handle the additional complexities introduced by the energy and ancillary service market environment, and the uncertainties introduced by the integration of renewable energy resources to the power grids, which are essentially intermittent in nature. This paper presents a unified optimal control framework where network security, system control performance, and system economics are all considered. Several key modules are presented and investigated within this unified framework. The impacts of renewable energy resources such as wind generation on AGC are studied.
Keywords :
optimal control; power generation control; power markets; power system economics; power system security; renewable energy sources; ancillary service market; energy market; network security; renewable energy resource; smart automatic generation control; system control performance; system economics performance; unified optimal control framework; Automatic generation control; Clocks; Economics; Frequency control; Neural networks; Renewable energy resources; Security; Automatic Generation Control (AGC); Control Performance Standards (CPS); Economic Dispatch (ED); Energy Management System (EMS); Predictive Economic Dispatch (PED); Renewable Energy Resources; Security Constrained Economic Dispatch (SCED); Smart AGC; Smart Grid; Very Short Term Load Prediction (VSTLP);
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.2012.6345136