Optimal Regulation of Energy Delivery for Community Microgrids Based on Constraint Satisfaction and Multi-agent System

Abstract

With the existence of several energetic resources and local production site by consumers a new strategy for managing the distribution of energy is indispensable. This paper aims to develop a simulation platform for energy resources management of a Micro Grids Network to optimize the electricity consumption. Using the remote control systems and data integration from distributed databases the system regulates automatically the distribution following the need of each customer and need of Micro Grid. The solution use an incremental search algorithm based on the total satisfaction of the constraints by priority order. In this paper, as software platform solution, we use the multi-agent system (MAS) technology. This choice is motivated by the functional ability of agents, and their self-adaptation to the environment (i.e. change the feature). The ability of the interaction between the agents and their mobility will define and specify the real-time needs of each Micro Grids according to its production and consumption capacity and the need of its neighbors. The functional architecture of the operating system is based on a graph, where each node can be a customer or producer of energy or both of them associated with list of requirement constraints. We used the principle of Distributed Databases to facilitate communication inter-agents and to optimize the time of data transfer between agents of different Micro Grids and simplified access “on demand” to the data with high availability. Thanks to the distributed databases solution, we can easily integrate the critical data on a data center and improve the response time of readjustment and equilibration of the electricity distribution and consumption.