Microgrids are the key for integrating renewable energy from different sources into smart grid, that is why power grid evolves into a combination of interconnected microgrids. In fact, future power grids are undergoing this groundbreaking change that will help meet the increasing demand of electric power and reduce carbon emission. In this sense we study in this paper, based on measured data, a real case of energy management in the area of Beja located in Tunisia. Indeed, we propose a model for the power exchange which proves the potential of applying game theory in the development of both real-time pricing and energy management mechanism for an open electricity market. We also introduce a hybrid genetic algorithm to compute the Nash Equilibrium. Results show that the proposed smart energy management can decrease the real cost of power up to 20%, to divide the energy transmission losses by a factor of two and to reduce the carbon emission in the area of Beja.

微电网是将来自不同来源的可再生能源整合到智能电网中的关键，这就是为什么电网发展成为互连微电网的组合的原因。实际上，未来的电网正在经历这一突破性的变化，这将有助于满足不断增长的电力需求并减少碳排放。从这个意义上讲，我们在本文中基于实测数据研究了突尼斯贝贾地区能源管理的真实案例。实际上，我们提出了一种用于电力交换的模型，该模型证明了在开放电力市场的实时定价和能源管理机制的开发中应用博弈论的潜力。我们还介绍了一种混合遗传算法来计算纳什均衡。结果表明，提出的智能能源管理可以将实际电力成本降低多达20％，