Data collection and future needs to account for the continuous growth of sensing data in control rooms

Energy transitions worldwide are pushing towards more sustainable societies demanding for more environmentally friendly power generation and urging to reduce technology based on nuclear and fossil sources to a minimum. Moreover, future energy systems are evolving to low-inertia networks where utilities are staring to face new challenges associated to the dramatic increase of inverter-connected devices. Consequently, utilities require higher degree of observability in the network and thus are becoming more dependent of advanced metering infrastructure, monitoring systems and high frequency synchronized wide-area devices in order to improve the decision making and situational awareness of the transmission system. As solution, utilities have adopted methods to handle, process and analyze the information acquired. Since the characteristics of the power systems are considerably different due to the diverse geographical locations, dimension of the systems and nature of the loads, the current handling processes are not necessarily the same nor the most advanced solutions. In this context, the IEEE Task Force Application of Big Data Analytic on Transmission System for Dynamic Security Assessment has recently completed a survey to 10 different utilities around the world and the aim of this panel is to present the most important findings and to provide a space of discussion about how the current practices in control rooms could be improved.