Adaptive GridStat information flow mechanisms and management for power grid contingencies

Stian Fedje Abelsen

GridStat is designed to address the need for a flexible and robust communication system in the electrical power grid, and provides a specialization of the publisher-subscriber paradigm. GridStat middleware enables reliable delivery of data to any point through a network of forwarding engines called status routers, manages network resources and provides QoS (Quality of Service) for data streams. Furthermore, GridStat hides the details of lower-level network capabilities from application developers in order to enable the communication system to be deployed across different network technologies, operating systems, programming languages and device types. GridStat is divided into two planes; the management plane and the data plane. The management plane consists of a hierarchy of QoS brokers which collectively manage resources (status router network) and subscriptions in the data plane. The mode change mechanism is a feature introduced by GridStat, and allows quick adaptation of subscription flows. A mode contains the necessary forwarding rules for a set of subscriptions and allows the status router network to quickly switch between bundles of subscriptions; an action called a mode change. The process of establishing individual subscriptions is a resource-intensive operation in which the deallocation and allocation of subscription bundles in run-time is expensive and may result in unsatisfactory subscription delays. GridStat enables subscription bundles to be allocated and pre-loaded into routing tables where operating modes control which routing tables the status router network will utilize. Previous GridStat versions had limited mode change capabilities. Mode switches were limited to a single administrative domain (GridStat cloud) and the mode namespace was shared between QoS brokers in the management plane. Additionally, the QoS brokers did not support the appropriate mechanisms to define and use modes in their respective administrative domains. The global and hierarchical mode change mechanisms and management implementation of this thesis supports these mechanisms and introduces the notion of global and hierarchical modes. This work enables the electrical power grid industry to quickly adapt information flow streams to power grid contingencies, and provides control center operators the means to better understand and quickly prepare responses to such threats.

Adaptive GridStat information flow mechanisms and management for power grid contingencies

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