ABSTRACT
This chapter explores new applications enabled by mission-critical implementations such as GridCloud technology. The most intriguing aspect of using cloud computing in the Internet based frequency monitoring network (FNET) is supporting FNET applications as software-as-a-service. The data concentrator layer is pivotal to the underlying FNET applications, since it acts as the main interface to the data center for the incoming phasor measurements. Fundamental to the FNET is the ability to process and analyze measurements from frequency disturbance recorders in an efficient and effective manner. Information exchange and seamless modeling integration require significant processing capabilities. Partitioning the grid into zones with minimal intercoupling serves as a basis for efficiently paralleling computational tasks, since it leads to more succinct information exchange among the computers. A heuristically feasible option would be to systematically prioritize searches, reduce scenario spaces, and make dynamically updated multidimensional information available to a wider audience of power grid entities.
