Conference paper
Intelligent micro grid management using a multi-agent approach
GECAD - Knowledge Eng. & Decision Support Res. Center, IPP - Polytech. of Porto, Porto, Portugal1
Recent changes in electricity markets (EMs) have been potentiating the globalization of distributed generation. With distributed generation the number of players acting in the EMs and connected to the main grid has grown, increasing the market complexity. Multi-agent simulation arises as an interesting way of analysing players' behaviour and interactions, namely coalitions of players, as well as their effects on the market.
MASCEM was developed to allow studying the market operation of several different players and MASGriP is being developed to allow the simulation of the micro and smart grid concepts in very different scenarios This paper presents a methodology based on artificial intelligence techniques (AI) for the management of a micro grid.
The use of fuzzy logic is proposed for the analysis of the agent consumption elasticity, while a case based reasoning, used to predict agents' reaction to price changes, is an interesting tool for the micro grid operator.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2013 |
| Pages: | 1-6 |
| Proceedings: | 2013 IEEE Grenoble PowerTech |
| ISBN: | 1467356689 , 1467356697 , 9781467356688 and 9781467356695 |
| Types: | Conference paper |
| DOI: | 10.1109/PTC.2013.6652263 |
AI techniques Artificial Intelligence Artificial intelligence Biological system modeling Distributed power generation Elasticity Electricity Markets Electricity supply industry MASCEM MASGriP Micro Grid Microgrids Multi-agent Simulation Smart Grid Smart grids agent consumption elasticity artificial intelligence artificial intelligence techniques distributed generation distributed power generation electricity markets fuzzy logic intelligent microgrid management microgrid operator multi-agent systems multiagent approach power engineering computing power markets smart grid concepts smart power grids
