Multi-Agent System-based Distributed Energy Management in Smart Grid under Uncertainty

This paper proposes a robust distributed energy management scheme for smart grid operation under uncertainty. In this proposed approach, the centralized optimization was formulated with incremental cost based consensus algorithm and solved in a distributed manner. A multi-agent system was developed in Java Agent Development (JADE) framework to communicate with the neighbour agents in a privacy-preserving environment while solving for the distributed optimization problem. The uncertainty of the load and renewable energy generators was also statistically modelled in this paper. The result showed that the proposed algorithm converges very fast compared to the existing algorithms and it was compared with the centralized approach to justify its effectiveness of the proposed algorithm.