Distributed autonomous control strategies for microgrid test-bed

Energy resource scheduling and Intelligent load controlling through smart grid is a fashion in modern power systems to enhance reliability and efficiency. Microgrid also use smart controlling technologies to sustain grid stability when it is in islanding conditions. The aim of this research is to present a new control strategy that is based on distributed autonomous control strategies and Multi Agent Systems Architectures. This new control algorithm is more robust to gain maximum benefits expected from microgrid. A microgrid testbed is being constructed which is consists of identified energy resources, storages and loads for commercial buildings or large apartments. The New control strategy provides flexibility to connect or disconnect any device in any time without disturbing to the system operation. It behave as a collection of devices those are connected in ad-hoc manner to the microgrid system. A simulation has done to verify the system operation when dynamically changing the assets of the microgrid. MATLAB Simulink libraries are used to develop the power system and Java Agent Development Environment is used to implement control system. This paper presents the simulation results for several case studies by connecting and disconnecting Energy resources and load units.