oa Real-time distributed systems control and energy management using multi-agent technologies

The microgrid distribution systems are a promising means for a broadly distributed energy resource (DER) systems integration. However, the optimal energy management and control of many energy generators, loads, and local storage units of microgrid present an important challenge. The concept with multi-agent intelligent control may become a viable solution for smart grid and microgrid architecture. In this paper, the implementation of the distributed energy management and control strategy of a smart microgrid by an intelligent multi-agent system (MAS) approach to achieve multiple objectives in real-time is proposed. The proposed MAS is built with a co-simulation platform in which the microgrid model is simulated using MATLAB/Simulink, and controlled by a MAS implemented in JADE through a middleware MACSimJX. The main purpose of this study is to develop a new approach, to control the microgrid during the fault in the main grid and to manage the energy output.