Simulation of a server of multi-agents’s interactions inside a defined environment

Smart grids are one of the best solutions for the integration of different distributed energy sources (DES), load, and storage elements. However, optimizing and managing these systems is a big challenge because it is only done in a distributed way. One of the best methods of managing a smart grid is the use of artificial intelligence (AI), especially multi-agent systems (MAS) approaches. MASs present a comprise of two or more independent agents with some information to achieve a set target that is capable of achieving multiple real-time objectives easily. Several multiagent approaches have been proposed these last years, This work constitutes a demonstration of one of those methods which is the contract net protocol (CNP). The CNP is a technique invented to solve communication problems in distributed networks. It was defined as a high-level protocol for communication among the nodes in distributed problem solver. We will use the extended version of the contract net protocol(ECNP) to optimize the movement of MASs inside a smart grid network. Our example of a smart grid will be a grid constituted from nodes, and each node is a location of a task or an agent. In the scenario each task it’s given a target which is also a node inside the grid, and our main objective is that the agent or agents could contribute for each task, depending on their priority order and may allow it to reach its target, which is another node in the network far from its initial location, using the shortest way as possible. A first scenario is used that includes a certain number of tasks and agents, to demonstrate the efficiency and power of the ECNP (extended contract net protocol), and the role of MAS in distributed management of smart grids.