Name
Title | ||
|---|---|---|
A Market Oriented, Reinforcement Learning Based Approach for Electric Vehicles Integration in Smart Micro Grids |
Abstract | ||
|---|---|---|
In an independent self-sustained micro grid (MG) with limited energy resources, plugged-in electric vehicles (EV) must compete for available excess power supply or demand, modeled as a random variable. This paper proposes a distributed machine learning algorithm based on a Markov decision process (MDP) and non-cooperative game theory, that maximizes the EV's profit under uncertainty of future MG supply/demand states, while satisfying specific battery constraints imposed by the EV owner. Performance evaluation of the proposed algorithm shows that even with no a priori knowledge of future MG supply/demand states, it achieves average profits of only 43% less than the global optimal profit. Results also show that using a cooperative version of the algorithm leads to a 12% increase in average profits. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/SmartGridComm.2019.8909698 | 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) |
Keywords | Field | DocType |
Electric vehicle,micro grid management,game theory,Markov decision process,machine learning. | Computer science,Computer network,Distributed computing,Reinforcement learning | Conference |
ISBN | Citations | PageRank |
978-1-5386-8100-8 | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdelrahman Abdelkader | 1 | 0 | 0.68 |
| Ilya Sychev | 2 | 0 | 0.68 |
| Riccardo Bonetto | 3 | 0 | 0.68 |
| Frank H. P. Fitzek | 4 | 706 | 123.89 |