With ongoing smart grid activities, advancements in information and communication technology coupled with development of sensors are utilized for better situational awareness, decision support, and control of the power grid. However, it is critical to understand the complex interdependencies between cyber and power domains, and also the potential impacts of cyber events on the power grid. In this paper, the impact of three different possible cyber events on physical power grid have been analyzed using an integrated cyber-power modeling and simulation testbed. Real-time modeling of end-to-end cyberpower systems have been developed with hardware-in-the-loop capabilities. Real-time digital simulator, synchrophasor devices, DeterLab, and network simulator-3 are utilized in this developed testbed with a wide-area control algorithm and associated closedloop control. DeterLab can be used to model real-life cyber events in the developed cyber-physical testbed. Man-in-the-middle and denial-of-service attacks have been modeled as specific cases for the IEEE standard test cases. Additionally, communication failure impact on the power grid has been analyzed using the testbed.
Microgrids with renewable distributed generation and energy storage offers sustainable energy solutions. To maintain the availability of energy to the connected loads and to interrupt the smallest portion of the microgrid under any abnormal conditions, reconfiguration is critical to restore service to a section or to meet some operational requirements. Reconfiguration is the process of modifying the microgrid's topological structure by changing the status (open/close) of circuit breakers or switches. This paper offers novel real time implementation of intelligent algorithm for microgrid reconfiguration. Intelligent algorithm is based on genetic algorithms (GA) and has been tested on two test systems including shipboard power system (SPS) and modified CERTS microgrid. Real time test bed utilizes real time digital simulator (RTDS) and commercial real time controllers from Schweitzer Engineering Lab. Reconfiguration algorithm has been implemented in real time using real time test bed for an example microgrid system and satisfactory results were obtained.
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