A Flexible Distributed Approach to Energy Management of an Isolated Microgrid

Abstract

This paper studies an energy management problem for an isolated microgrid including photovoltaic panels, wind turbines, batteries and ultracapacitors. A normal form game is proposed for the energy management to maximize the energy utilization ratio of renewable energy sources, extend the battery life and keep the ultracapacitors able to compensate the dynamic variations. The solution of this game represented by Nash equilibrium is analytically derived and proved to be the existing and unique. A simulation platform using data in second is established to study the energy management approach based on probability distribution functions. In simulation, the game theory based approach has a comparable performance against the rule based control, while the pre-knowledge of the load demands and weather information is not required. Also the game theory based approach is more flexible than rule based approach under the influence of uncertain weather.

Publication
In * IEEE 26th International Symposium on Industrial Electronics *
Songyang Han
Songyang Han
PhD student | Computer Science and Engineering | Artificial Intelligence

My research interests include multi-agent reinforcement learning, connected autonomous vehicles.