Situational Awareness / Situational Intelligence System and Method for Analyzing, Monitoring, Predicting and Controlling Electric Power Systems
First Claim
1. An electrical grid monitoring, predictive monitoring, and control system comprising:
- a controller in electrical communication with a multiplicity of electrical devices in an electric grid, wherein said controller receives control state data from each electrical device of said multiplicity of electrical devices indicating a current state of each said electrical device;
a multi-dimensional, multi-layer cellular computational network (CCN) disposed within said controller comprisingan information layer;
a knowledge layer;
a decision-making layer; and
an action layer;
wherein each said layer of said CCN represents one of a multiplicity of control state variables in the electric grid;
wherein said controller analyzes said multiplicity of control state data then determines a current control state and a predicted control state for one or more of said multiplicity of electrical devices.
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Abstract
A system and method for modeling, controlling and analyzing electrical grids for use by control room operators and automatic control provides a multi-dimensional, multi-layer cellular computational network (CCN) comprising an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a variable in an electric power system. Situational awareness/situational intelligence is provided therefrom so that the operators and grid control systems can make the correct decision and take informed actions under difficult circumstances to maintain a high degree of grid integrity and reliability by analyzing multiple variables within a volume of time and space to provide an understanding of their meaning and predict their states in the near future where these multiple variables can have different timescales.
28 Citations
20 Claims
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1. An electrical grid monitoring, predictive monitoring, and control system comprising:
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a controller in electrical communication with a multiplicity of electrical devices in an electric grid, wherein said controller receives control state data from each electrical device of said multiplicity of electrical devices indicating a current state of each said electrical device; a multi-dimensional, multi-layer cellular computational network (CCN) disposed within said controller comprising an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a multiplicity of control state variables in the electric grid; wherein said controller analyzes said multiplicity of control state data then determines a current control state and a predicted control state for one or more of said multiplicity of electrical devices. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of controlling an electrical grid in a situational awareness/situational intelligence framework comprising the steps of:
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receiving control state information from at least one of a multiplicity of electrical devices disposed within an electrical grid; analyzing said control state information in said controller using a multi-dimensional, multi-layer cellular computational network (CCN) disposed within said controller comprising; an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a control state variable of a multiplicity of control state variables in said electric grid; and creating a predicted control state for at least one of said multiplicity of electrical devices. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. An electrical grid monitoring and control system containing a situational awareness/situational intelligence framework comprising:
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a controller in electrical communication with a multiplicity of electrical devices in an electrical grid, wherein said controller receives control state information from at least one electrical device in said multiplicity of electrical devices indicating a current state of said at least one electrical device; a multi-dimensional, multi-layer cellular computational network (CCN) disposed within said controller comprising; an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a control state variable of a multiplicity of control state variables in said electric grid; and wherein each said layer is further comprised of a multiplicity of cells each containing computational algorithms capable of cognitive learning to create a control state model by receiving cellular control state information from another cell; and wherein said controller analyzes said control state information and said cognitive learning within one or more of said multiplicity of cells, then determines a current control state and a predicted control state for one or more of said multiplicity of electrical devices. - View Dependent Claims (18, 19, 20)
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Specification