Optimal Distributed Power Generation for Thermal and Electrical Scheduling in a Microgrid

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Abstract

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 balancing

Citation

@inproceedings{liu2013optimal,
title={Optimal distributed power generation for thermal and electrical scheduling in a microgrid},
author={Liu, Mingming and Crisostomi, Emanuele and Raugi, Marco and Shorten, Robert},
booktitle={IEEE PES ISGT Europe 2013},
pages={1–5},
year={2013},
organization={IEEE}
}