Increasing expansion of power systems and grids are accompanied nowadays by innovation in smart grid solutions to maintain systems stability. This paper proposes an intelligent wide area synchrophasor based system (IWAS) for predicting and mitigating transient instabilities. The IWAS incorporates artificial neural networks (ANN) for transient stability prediction. The ANN makes use of the advent of phasor measurements units (PMU) for real-time prediction. Coherent groups of generators-which swing together-is identified through an algorithm based on PMU measurements. A remedial action scheme (RAS)is applied to counteract the system instability by splitting the system into islands and initiate under frequency load shedding actions. The potential of the proposed approach is tested using New England 39 bus system. Index Terms-ART neural networks, controlled system islanding, load shedding, remedial action scheme RAS, wide area protection.

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This paper proposes a real-time wide area protection system which incorporates Artificial Neural Networks (ANN) for transient stability prediction. The ANN makes use of the advent of Phasor Measurements Units (PMU) for real-time prediction. Rate of change of bus voltages and angles for six cycles after fault tripping and/or clearing is used to train a two layers ANN. Coherent groups of generators -which swing together -is identified through an algorithm based on PMU measurements. A Remedial Action Scheme (RAS) is applied to counteract the system instability by splitting the system into islands and initiate under frequency load shedding actions. The potential of the proposed approach is tested using New England 39 bus system.

Steam production and electric power system stability are often competing interests in an industrial refinery. Optimal control of steam production is required to meet plant process operating requirements, and electrical grid stability is required to prevent power system blackouts. For many industrial plants connected to a utility grid, both operating criteria cannot be met simultaneously, placing the power system in serious jeopardy of a blackout.Steam turbines, which are controlled to produce a desired tonnage per hour of steam, can hinder the ability of a power system to avoid blackouts. This issue occurs at any facility in which electric power is derived from steam turbines running in extraction flow or pressure control modes.The issue is explained using modeling and in-field results from a refinery with several three-stage extraction turbines, a large refinery load, and several utility grid interconnections. The implications of running these turbine governors in pure extraction priority, pure power priority, or mixed extraction and power priorities are explored in this paper.A comprehensive electric dispatch control strategy used at the facility is shared. This control system optimizes electrical grid stability throughout the facility while simultaneously interfacing with a steam optimization system.