GENERALIZED GRID SECURITY FRAMEWORK

• US 20110282508A1
• Filed: 05/11/2011
• Published: 11/17/2011
• Est. Priority Date: 05/12/2010
• Status: Active Grant

• Current Assignee: Alstom Technology Ltd. (Alstom SA)
• Original Assignee: Alstom Grid
• Inventors: Goutard, Eric, Mensah, Spero
• Granted Patent: US 8,924,033 B2
• Time in Patent Office: Days
• US Class Current: 700/293
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 3/06 Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

The subject specification comprises a generalized grid security platform (GGSP) that can control power distribution and operations in a power transmission and distribution grid (PTDG) in real or near real time. The GGSP can receive data from one or more data sources, including a PMU(s) or an IED(s), which can obtain power system related data and provide at least a portion of such data to the GGSP at a subsecond rate. The GGSP can correlate data from the data sources based at least in part on a temporal, geographical, or topological axis. The GGSP can analyze the data, including performing predictive analysis, e.g., via simulation, root cause analysis, post mortem analysis, or complex event processing, when desired, to facilitate identifying a current or predicted future state of the PTDG, a cause or source of an abnormal condition, or a remedial action execution plan, new operation or maintenance guidance, etc.

Claims

1. A system, comprising:

a data information hub configured to receive power system related data from one or more data sources associated with a power transmission and distribution grid (PTDG), and correlate respective pieces of the power system related data, based at least in part on at least one of a temporal axis, a locational axis, or a topological axis, to generate correlated pieces of power system related data; and

a generalized grid security platform (GGSP) configured to analyze at least a portion of the correlated pieces of power system related data in real time to control power transmission and distribution by at least one of a power substation or a transformer in the PTDG in real time, in accordance with at least one predefined power system control criterion.

2. The system of claim 1, wherein at least a portion of the power system related data is generated at a subsecond rate, and the GGSP is further configured to identify at least one remedial action to analyze the at least a portion of the correlated pieces of power system related data in real time to control power transmission and distribution by at least one of a power substation or a transformer in the PTDG in real time at a subsecond rate, and wherein the at least a portion of the correlated pieces of power system related data comprises synchrophasor data.

3. The system of claim 1, wherein the GGSP is further configured to analyze at least a portion of the correlated pieces of the power system related data and identify at least one abnormal condition relating to the PTDG, wherein the at least one abnormal condition is at least one of a fault or an abnormal power system parameter value, wherein the abnormal power system parameter value is above or below a predefined threshold normal power system parameter value or is outside of a range of predefined threshold normal power system parameter values.

4. The system of claim 3, wherein the GGSP is further configured to automatically identify at least one remedial action to perform to rectify the at least one abnormal condition.

5. The system of claim 1, wherein the GGSP is further configured to analyze at least a portion of the correlated pieces of the power system related data to identify a current health or operation state of the at least a portion of the PTDG.

6. The system of claim 1, wherein the GGSP is further configured to perform a simulation of operation of at least a portion of the PTDG under a requested subset of power related conditions, in response to a request to modify operation of the at least a portion of the PTDG in accordance with the requested subset of power related conditions, prior to allowance or denial of the request to modify operation of the at least a portion of the PTDG.

7. The system of claim 6, wherein the GGSP is further configured to allow the modification of operation of the at least a portion of the PTDG when results of the simulation are in accordance with the at least one power system control criterion, or deny the modification of operation of the at least a portion of the PTDG when results of the simulation are not in accordance with the at least one power system control criterion.

8. The system of claim 7, wherein the request to modify operation of the at least a portion of the PTDG requests to operate the at least a portion of the PTDG under overload conditions, which is at or near a dynamic rating associated with the at least a portion of the PTDG, for a specified period of time.

9. The system of claim 1, wherein the one or more data sources comprises at least one of a power system health sensor, a heat sensor, a voltage sensor, a current sensor, a power system balance sensor, a harmonic level sensor;

a power system parameter sensor, a fault sensor, a frequency monitoring network (FNET), a phasor measurement unit (PMU) FNET (PMU/FNET), a frequency disturbance recorder, an intelligent equipment device;

digital fault recorder;

a fault current limiter, a fault current controllers, an equipment data file associated with a piece of PTDG equipment, or a component associated with the GGSP wherein the component is configured to generate and provide power system related data.

10. The system of claim 1, wherein the GGSP is further configured to comprise a root cause analysis module configured to analyze a subset of the correlated pieces of power system related data and identify a root source that caused an abnormal condition associated with the PTDG, based at least in part on result of the analysis of the subset of the correlated pieces of power system related data.

11. The system of claim 10, further comprising an equipment diagnostic and prediction module configured to simulation historical operation of the PTDG based at least in part on at least a portion of the correlated pieces of power system related data to generate simulation results, wherein the root cause analysis module is further configured to analyze the simulation results to identify the root source that caused the abnormal condition associated with the PTDG.

12. The system of claim 1, wherein the GGSP is further configured to comprise a replacement plan assistant module configured to analyze at least a portion of the correlated pieces of power system related data to identify respective times to replace, repair, or perform maintenance on respective pieces of PTDG equipment, based at least in part on respective current or predicted future condition of the respective pieces of PTDG equipment, in accordance with the at least one predefined power system control criterion, wherein the replacement plan assistant module is further configured to generate a remedial action execution plan comprising a temporal sequence of the respective times of replacement, repair, or performance of maintenance on the respective pieces of PTDG equipment.

13. The system of claim 1, wherein the GGSP is further configured to comprise an enhanced stability analysis component configured to monitor a level of oscillatory instability in at least a portion of the PTDG;

dynamically perform, in real time, on-line detection and analysis of the level of oscillatory instability in the portion of the PTDG;

identify abnormal oscillatory instability if the level of oscillatory instability is above a predefined maximum threshold level of oscillatory instability; and

identify at least one remedial action to perform to rectify the abnormal oscillatory instability so that the level of oscillatory instability is at an acceptable level.

14. The system of claim 1, wherein at least one of the data information hub or the one or more data sources are respectively configured to apply one or more tags to respective pieces of the power system related data, wherein the one or more tags comprise a time of data collection or a power system event, a location to which a respective piece of the power system related data relates, or topological information regarding the respective piece of the power system related data.

15. The system of claim 1, further comprising a common source modeler configured to generate one or more power system model objects that model one or respective pieces of PTDG equipment, wherein the one or more power system model objects are respectively defined only once across subsystems of the GGSP to achieve consistent definition of the one or more power system model objects among the subsystems.

16. The system of claim 1, wherein the common source modeler is further configured to be associated with a common information model that employs one or more specified modeling standards, protocols or algorithms to facilitate generation of the one or more power system model objects, wherein the common source modeler is further configured to provide PTDG model version management that supports model-over-time management to generate a power system model object that reconstructs a version of a piece of PTDG equipment that was in use in the PTDG during a period of time of PTDG operation being analyzed by the GGSP.

17. The system of claim 1, further comprising a grid unified view module configured to consolidate or synthesize at least a portion of the power system related data to generate PTDG unified result data for presentation via a graphical user interface, wherein the grid unified view module is further configured to identify and allow action on a most restrictive security constraint for current PTDG conditions at a given time, based at least in part on data analysis results relating to the PTDG.

18. A method, comprising:

correlating a plurality of items of power system related data, based at least in part on at least one of a temporal axis, geographical axis, or topological axis, to generate one or more subsets of correlated items of power system related data; and

dynamically controlling at least a portion of a power transmission and distribution grid (PTDG) based at least in part on results of analyzing at least one subset of correlated items of power system related data of the one or more subsets of correlated items of power system related data, in accordance with at least one predefined power system control criterion.

19. The method of claim 18, further comprising:

monitoring operating conditions relating to power being distributed in the at least a portion the PTDG;

obtaining power system related data relating to the operating conditions;

analyzing the power system related data relating to the operating conditions, in accordance with the at least one predefined power system control criterion; and

generating a subset of simulated operating condition scenarios relating to the at least a portion of the PTDG, based at least in part on the analyzing of the power system related data relating to the operating conditions.

20. The method of claim 18, further comprising:

receiving a request to modify operation of the at least a portion of the PTDG;

obtaining current or historical power system related data relating to operating conditions associated with the at least a portion of the PTDG;

performing an operation simulation to predict an outcome of the modification of operation of the at least a portion of the PTDG, in response to the request to modify the operation of the at least a portion of the PTDG;

determining whether the modification of the operation of the at least a portion of the PTDG is acceptable based at least in part on the operation simulation, in accordance with the at least one predefined power system control criterion; and

at least one of;

denying the request to modify the operation of the at least a portion of the PTDG when it is determined that the modification of the operation of the at least a portion of the PTDG is not acceptable, or

authorizing the request to modify the operation of the at least a portion of the PTDG when it is determined that the modification of the operation of the at least a portion of the PTDG is acceptable.

21. The method of claim 20, further comprising:

receiving the request to modify operation of the at least a portion of the PTDG to operate the at least a portion of the PTDG under an overload condition at or near a dynamic rating of a piece of PTDG equipment in the at least a portion of the PTDG.

22. The method of claim 18, further comprising:

monitoring power conditions associated with power transmission and distribution in the at least a portion of the PTDG;

identifying a level of oscillation instability of the at least a portion of the PTDG in real time at a subsecond rate;

determining whether the level of oscillation instability is acceptable, in accordance with the at least one predefined power system control criterion; and

at least one of;

maintaining current operation of the at least a portion of the PTDG in relation to oscillation stability when the level of oscillation instability is determined to be acceptable, or

identifying at least one remedial action to perform to reduce the level of oscillation instability to an acceptable level when the level of oscillation instability is determined to be unacceptable.

23. The method of claim 22, wherein the identifying of the level of oscillation instability further comprises:

at least one of;

identifying a current level of oscillation instability of the at least a portion of the PTDG, or

predicting a level of oscillation instability of the at least a portion of the PTDG at a specified future time period.

24. The method of claim 23, wherein the predicting the level of oscillation instability of the at least a portion of the PTDG at the specified future time period further comprises:

simulating operations of the at least a portion of the PTDG for the specified future time period to generate simulation results; and

predicting the level of oscillation instability of the at least a portion of the PTDG at the specified future time period based at least in part on the simulation results.

25. The method of claim 18, further comprising:

monitoring equipment conditions and equipment performance relating to a piece of PTDG equipment in the at least a portion of the PTDG;

obtaining power system related data relating to the equipment conditions and the equipment performance of the piece of PTDG equipment;

analyzing the power system related data relating to the equipment conditions and the equipment performance of the piece of PTDG equipment;

generating a prediction regarding whether an abnormal condition or equipment failure will occur in the piece of PTDG equipment within a specified period of time in the future; and

at least one of;

maintaining current operation of the piece of PTDG equipment when it is predicted that no abnormal condition or equipment failure will occur in the piece of PTDG equipment within a specified period of time in the future, or

generating an alert or work order relating to the piece of PTDG equipment to perform at least one remedial action relating to the piece of PTDG equipment when it is predicted that an abnormal condition or equipment failure will occur in the piece of PTDG equipment within the specified period of time in the future.

26. The method of claim 18, further comprising:

diagnosing respective conditions of respective pieces of PTDG equipment based at least in part on current or historical power system related data relating to the respective pieces of PTDG equipment;

analyzing the diagnosis of the respective conditions of the respective pieces of PTDG equipment;

generating a priority sequence for performance of one or more remedial actions of one or more pieces of PTDG equipment, based at least in part on analysis of the diagnosis of the condition or “

health”

level of the PTDG equipment;

evaluating reliability impacts relating to the one or more remedial actions of the priority sequence, in accordance with the predefined power system control criteria;

generating a remedial action plan based at least in part on the priority sequence and the evaluating of the reliability impact;

evaluating economic impact of the remedial action plan; and

generating a remedial action execution plan based at least in part on evaluation results of the economic impact of the remedial action plan.

27. The method of claim 18, further comprising:

receiving the plurality of items of power system related data to facilitate generating the one or more subsets of correlated items of power system related data;

analyzing at least one subset of the one or more subsets of correlated items of power system related data;

dynamically identifying one or more power-related actions to be performed in the PTDG, based at least in part on the results of the data analysis and the predefined power system control criteria; and

performing the one or more power-related actions.

28. The method of claim 27, wherein the performing the one or more power-related actions, further comprising:

generating a condition assessment of operation health of at least a portion of the PTDG portion;

generating a diagnosis of an abnormal condition associated with the at least a portion of the PTDG portion;

performing a dynamic stability analysis on the at least a portion of the PTDG;

performing a measurement-based stability analysis on the at least a portion of the at least a portion of the PTDG;

generating a command to rectify the abnormal condition;

transmitting the command to rectify the abnormal condition;

generating an alarm indicator relating to the abnormal condition;

presenting the alarm indicator;

performing one or more remedial actions to rectify the abnormal condition;

at least one of estimating a current or future state or predicting the current or future state of the at least a portion of the PTDG;

simulating at least a portion of prior operations of the at least a portion of the PTDG;

simulating at least a portion of future operations of the at least a portion of the PTDG to predict at least one scenario of operations of the at least a portion of the PTDG over a specified period of time in the future under a specified subset of operating conditions;

predicting the at least one scenario of operations of the at least a portion of the PTDG over the specified period of time in the future under the specified subset of operating conditions;

determining whether a requested overload condition on a piece of PTDG equipment is acceptable for the specified period of time;

analyzing an equipment data file relating to at least the dynamic equipment rating of the piece of PTDG equipment;

granting a request to operate the piece of PTDG equipment under an overload condition for the specified period of time when it is determined that the overload condition is acceptable;

denying the request to operate the piece of PTDG equipment under the overload condition for the specified period of time when it is determined that the overload condition is not acceptable;

performing a root cause analysis relating to the at least a portion of the PTDG;

performing a post mortem analysis relating to the at least a portion of the PTDG;

generating a remedial action execution plan for the at least a portion of the PTDG;

or

generating one or more operation guidelines to modify operation of the at least a portion of the PTDG.

29. A computer-readable medium having stored thereon, computer-executable instructions that, when executed by a computing device, cause the computing device to perform operations comprising:

correlating a plurality of items of power system related data, based at least in part on at least one of a temporal axis, geographical axis, or topological axis, to generate one or more subsets of correlated items of power system related data; and

dynamically controlling at least a portion of a power transmission and distribution grid (PTDG) based at least in part on results of analyzing at least one subset of correlated items of power system related data of the one or more subsets of correlated items of power system related data, in accordance with at least one predefined power system control criterion.

30. A system, comprising:

means for correlating a plurality of items of power system related data as a function of at least one of a temporal axis, geographical axis, or topological axis including means for generating one or more subsets of correlated items of power system related data; and

means for dynamically controlling, based on at least one predefined power system control criterion, at least a portion of a power transmission and distribution grid (PTDG) based on an output of a means for analyzing at least one subset of correlated items of power system related data of the one or more subsets of correlated items of power system related data.