Title :
A Stochastic matching mechanism for wind generation dispatch and load shedding allocation in microgrid
Author :
Jiang Wu ; Xiaohong Guan
Author_Institution :
Minist. of Educ. Key Lab. for Intell. Networks & Networks Security, Xi´an Jiaotong Univ., Xi´an, China
Abstract :
The uncertainty discrepancy between distributed wind generation and local load demand brings an interesting and important challenge to daily schedule and control policy design in microgrid. This paper proposes a look-ahead dispatch framework for matching stochastic supply and demand with optimal control of distributed storages and minimal use of wind curtailment and load shedding. A stochastic programming method with scenario tree is used to build the control solutions and strategies of distributed wind generators, distributed storages and directly controllable loads according to the integrated status of different devices and dynamic behavior forecasting of wind generation and end uses demands in a microgrid. Numerical testing results show that this method is efficient and a reliable dispatch solution is obtained.
Keywords :
distributed power generation; load flow control; load shedding; optimal control; power generation dispatch; stochastic programming; wind power; control policy design; daily schedule design; distributed storages; distributed wind generation; dynamic behavior forecasting; load shedding; local load demand; look-ahead dispatch framework; matching stochastic supply and demand; microgrid; optimal control; scenario tree; stochastic programming method; wind curtailment; Generators; Microgrids; Stochastic processes; Uncertainty; Wind farms; Wind forecasting; Wind power generation; Distributed storage; Distributed wind generation; Look-ahead dispatch; Stochastic matching; Stochastic programming;
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
Conference_Location :
Washington, DC
DOI :
10.1109/ISGT.2014.6816485