Fuzzy Logic Decision-Making in Multi-agent Systems for Smart Grids

Multi-agent Systems (MAS) are the new paradigms for building and understanding Distributed Energy Systems (DES). MAS are an efficient problem solving methodology, which has gained popularity among researchers all over the world. One important advantage of these systems are that, once the researchers gain more knowledge about MAS, they can integrate them with more new features thereby being able to solve more complex problems. In MAS, every component is modeled as an intelligent agent capable of working autonomously. This study presents an innovative and sophisticated approach for the representation of a DES. A co-operation algorithm is devised to understand how efficiently the agents work in accordance with each other. Based on preset rules and definitions, the agents of the MAS can decide how much power each source has to contribute in accordance to the varying load conditions and cooperation between agents. A five-layered Fuzzy Logic Controller (FLC) is designed to implement this decision-making ability of the agents. All the decisions taken are further stored in a rule-repository which is used by the FLC as a knowledge base for learning and making better decisions in the future.