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Advanced energy management of a micro-grid using arduino and multi-agent system

Abstract:

The objective of this paper is to develop Arduino-based multi-agent system (MAS) for advanced distributed energy management of a solar-wind micro-grid. High penetration of renewable energy resources needs new coordination and control approaches to meet the stochastic nature of the environment and dynamic loadings. We use multi-agent system for advanced distributed, autonomous energy management of micro-grid to dynamically and flexibly adapt to the changes in the environment as renewable energy resources are intermittent in nature. We consider that a micro-grid which contains two systems each contains solar photo voltaic (PV) system, wind generator system, local consumer, and a battery. We develop a simulation model using Java Agent Development Environment (JADE) in Eclipse IDE for dynamic energy management, which considers the intermittent nature of solar power, randomness of load, dynamic pricing of grid, and variation of critical loads, and choose the best possible action every hour to stabilize and optimize the micro-grid. Furthermore, environment variables are sensed through Arduino Mega micro-controller and given to agents of MAS. The agents take the strategic action, and the resulting actions are reflected in the LED outputs which can be readily deployed in the actual field. MAS increases responsiveness, stability, flexibility, and fault tolerance, thereby increasing operational efficiency and leading to economic and environmental optimization. All the smart grid features are tested using JADE simulations and practically verified through Arduino micro-controller to make micro-grid into smart micro-grid.