Investigating communication and security challenges in power microgrids and designing a secure communication network using appropriate protocols and encryption techniques of artificial intelligence technology

With the expansion of the use of renewable energy sources and the need for smart energy distribution systems, microgrids have become one of the vital components of power systems. Considering the increasing importance of power microgrids in modern energy systems and their key role in increasing efficiency and reducing dependence on large power grids, designing a reliable communication network for the utilization of these microgrids is crucial. In this research, a comprehensive framework for simulating, designing, and evaluating the communication network of power microgrids is presented. First, power microgrids were simulated using the Python programming language to enable analysis of the behavior and performance of these systems under different conditions. Then, a communication network based on artificial intelligence algorithms was designed and developed, which ensures the ability to coordinate and manage microgrids optimally. Next, in order to investigate the stability and security of the designed communication network, various types of cyber attacks were simulated. These attacks included data intrusion, disruption of communications, and various cyber-destruction scenarios. Also, smart defense strategies were developed to counter these attacks and their effectiveness in maintaining the performance of the communication network and preventing negative impacts on microgrids and the main power grid during outage conditions was evaluated.The results show that the designed communication network is not only efficient in managing and utilizing microgrids, but also has the ability to resist cyber attacks and maintain system stability. This research can be used as a basis for developing smart and secure systems in energy management and power microgrids and provide an effective solution to address security and stability challenges in power systems. With the expansion of the use of renewable energy sources and the need for smart energy distribution systems, microgrids have become one of the vital components of power systems. Considering the increasing importance of power microgrids in modern energy systems and their key role in increasing efficiency and reducing dependence on large power grids, designing a reliable communication network for the utilization of these microgrids is crucial. In this research, a comprehensive framework for simulating, designing, and evaluating the communication network of power microgrids is presented. First, power microgrids were simulated using the Python programming language to enable analysis of the behavior and performance of these systems under different conditions. Then, a communication network based on artificial intelligence algorithms was designed and developed, which ensures the ability to coordinate and manage microgrids optimally. Next, in order to investigate the stability and security of the designed communication network, various types of cyber attacks were simulated. These attacks included data intrusion, disruption of communications, and various cyber-destruction scenarios. Also, smart defense strategies were developed to counter these attacks and their effectiveness in maintaining the performance of the communication network and preventing negative impacts on microgrids and the main power grid during outage conditions was evaluated. The results show that the designed communication network is not only efficient in managing and utilizing microgrids, but also has the ability to resist cyber attacks and maintain system stability. This research can be used as a basis for developing smart and secure systems in energy management and power microgrids and provide an effective solution to address security and stability challenges in power systems.

کلیدواژه ها:

Communication network ، microgrids ، in power grid ، artificial intelligence