Real Time Distributed Systems Modeling and Control: Application to Photovoltaic Fuel Cell Electrolyser System

Old grids which are more dependent on centralized power stations had shown incapacity in term of integrating large amounts of geometrically dispersed consumers and energy resources such as renewable energy resources (RES), that require a scheduled control between the variable demand and intermittent sources. The bi-directional electricity networks that can greet and control more than individual grid or element, is a complex system that requires a real need for intelligent distributed energy management (DEM) to address challenges of integration of a huge number of types of energy resources with different sizes. This paper proposes a real-time distributed systems modeling and control such as photovoltaic (PV)-fuel cell (FC)-Electrolyser system by multi-agent system (MAS). The main consideration is to show a new approach, able to communicate multi-threaded environment like MAS inside S-function of Simulink. Contrarily to the studies available in the literature, this approach allows agents to decide and negotiate to achieve the energy management objectives, while all calculations required to control dynamic system with continuous functions are made in Simulink..