Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
This paper illustrates stochastic distributed algorithms that optimally share the electrical and thermal power generation task among the several Distributed Energy Resources (DERs) within a microgrid. We borrow certain concepts from communication network theory, namely Additive-Increase- Multiplicative-Decrease (AIMD) algorithms, which are known to be convenient in terms of communication requirements and network efficiency. We adapt them to minimise a cost utility function of interest in the framework of smart grids. We then implement the AIMD utility optimisation strategies in a realistic power network simulation in Matlab-OpenDSS environment, and we show the performance of the proposed algorithms in achieving thermal and electrical power balancing1. © 2013 IEEE.
Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
Pradip Bose
VTS 1998
Raymond Wu, Jie Lu
ITA Conference 2007
Ehud Altman, Kenneth R. Brown, et al.
PRX Quantum