DocumentCode :
1988322
Title :
Adaptive electricity scheduling with quality of usage guarantees in microgrids
Author :
Yingsong Huang ; Shiwen Mao
Author_Institution :
Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
5160
Lastpage :
5165
Abstract :
Microgrid (MG) is a key component for future smart grid (SG) deployment with high potentials. Balancing the supply and demand of energy is one of the most important goals of MG management. In this paper, we explore effective schemes for quality-of-usage (QoU) guarantees for local residents in an MG, under randomness in both electricity supply and demand. The microgrid control center (MGCC) aims to maintain the QoU blocking probability around a target value by serving or blocking QoU requests. The problem is formulated as a queue stability problem by introducing the concept of a QoU blocking virtual queue. The Lyapunov optimization technique is then applied to derive an adaptive QoU algorithm with complexity O(1). Furthermore, the proposed algorithm is an online algorithm since it does not require any future knowledge of the system. The stability of the proposed algorithm is proven, and its performance is evaluated with trace-driven simulations under random QoU requests. The simulation results demonstrate the efficacy and robustness of the proposed algorithm.
Keywords :
Lyapunov methods; distributed power generation; optimisation; power generation control; power generation scheduling; queueing theory; smart power grids; stability; Lyapunov optimization technique; MG management; MGCC; QoU blocking virtual queue; adaptive QoU algorithm; adaptive electricity scheduling; complexity; energy demand balancing; energy supply balancing; future smart grid deployment; microgrid control center; online algorithm; quality of usage guarantee; queue stability problem; random QoU request;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1930-529X
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2012.6503939
Filename :
6503939
Link To Document :
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