Bulletin de la Société Royale des Sciences de Liège, Vol. 85, 2016, p. 153 - 165 153 Comparison of non-cooperative and Nash bargaining solution in micro grids load distribution Isaac KARGAR 1 , Seifollah BAHRAMI 2 , Morteza AMINI 3 1 Faculty of Electrical & Computer Engineering-University of Tehran, Tehran, Iran Email: kargarisaac@ut.ac.ir 2 Faculty of Electrical & Computer Engineering-University of Tehran, Tehran, Iran Email: sbahrami91@ut.ac.ir 3 Faculty of Electrical & Computer Engineering-Tarbiat Modares University, Tehran, Iran Email: morteza.amini@modares.ac.ir Abstract Micro grids that use the distributed energy resources are known as an essential part of smart grid technology. In this article, we discuss and compare the strategies of the micro grids (solar panels, wind turbines, etc.) in a network that their amounts of powers have been investigated in two modes: non-cooperative mode and Nash bargaining solution. Simulation results show that in the Nash bargaining solution, it can be achieved more profit with less production. Keywords: non-cooperative games, Nash bargaining solution, micro grid, profit 1. Introduction Nowadays, smart grids, due to their ability to increase the efficiency and reliability of power and energy through the world, are increasing worldwide (1). The micro grids made of distributed energy resources such as solar cells, wind turbines and other renewable energy sources have to meet the needs of various customers in system and their needs and powers to the main network in connected mode or apart from it (2). In (3), there has been used a comparative game solution to gain performance strategy of the micro grids and has been suggested a method that examines each micro grid within the network has the coalition with which micro grids to pay the lower cost. In (4), there has been used the wireless sensor networks for a reliable connection between the energy sources in the micro grid. In (5), there has been used a number of strategies to control the spread of the micro grids and allow the micro grids to have the proper operation in separate form from the main network. In this article, there has been used the reference costs (3) in the profit function and the optimized function has been considered in form of benefit level of every micro grid. Following, we discuss the profit model for each micro grid and then deliver the game model. So, we investigate whether there are the conditions to use Nash bargaining solution or not. After that, we achieve the relations for the number of two micro grids in both non- comparative mode and Nash bargaining solution and then we investigate the game solution