Method for evaluating operational and financial performance for dispatchers using after the fact analysis

US9727828B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9727828-B2
Application numberUS-83000410-A
CountryUS
Kind codeB2
Filing dateJul 2, 2010
Priority dateJul 2, 2010
Publication dateAug 8, 2017
Grant dateAug 8, 2017

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  2. Abstract

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  5. First independent claim

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Abstract

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A method is provided for evaluating operational and financial performance for dispatchers in power grid control centers associated with utility systems. A comprehensive operating plan is provided that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. after the fact analysis of past events and practices is performed. Actual system and resource conditions are captured. the system and resource conditions are supplied to a relational database. A scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance. At least one of the following is displayed, transmission evaluation application displays, reference and scenario cases and associations between them, results presented with a graphical or tabular displays, comparison results between scenario cases and a reference case, a family of curves where each curve is a performance metric, comparison of scenario input data, study results and statistical analysis and historical data.

First claim

Opening claim text (preview).

What is claimed is: 1. A method, comprising: receiving, by a processor of a system, a transmission of a plurality of load forecasts associated with individual operating plans having scheduling intervals created by a plurality of scheduler engines that are security constrained unit commitments and economic dispatch sequences, wherein respective scheduler engines of the plurality of scheduler intervals have different look-ahead periods and different scheduling intervals, and wherein at least one of the individual operating plans comprises a constraint defining fuel consumption reserved for at least one scheduling interval of the scheduling intervals for generation of electrical power by a power generation system; capturing, by the processor, real-time power generation system conditions associated with execution of a comprehensive operating plan during the generation of the electrical power by the power generation system, the comprehensive operating plan generated from the load forecasts associated with the individual operating plans and the constraint defining the fuel consumption reserved for the at least one scheduling interval of the scheduling intervals for generation of the electrical power by the power generation system; performing, by the processor, an analysis on at least one of a performance metric, a root-cause impact, or a process re-engineering associated with the execution of the comprehensive operating plan against a use-case based upon the power generation system conditions, wherein the use-case comprises respective scenarios having perturbations of impact factors on the power generation system conditions, and the analysis comprises a two-round optimization on each scenario, wherein a first round of the two-round optimization comprises a security constrained unit dispatch optimization and a second round of the two-round optimization comprises a sequential security constrained economic dispatch optimization on a plurality of time intervals; displaying, by the processor on a display device, results of the analysis on the at least one of the performance metric, a root-cause impact, or a process re-engineering for each scenario; modifying, by the processor, the comprehensive operating plan based upon the results of the analysis on the at least one of the performance metric, the root-cause impact, or the process re-engineering for each scenario; and controlling, by the processor, the power generation system to dispatch power generation system resources according to the modified comprehensive operating plan to generate the electrical power. 2. The method of claim 1 , wherein the analysis is a decision-support tool to evaluate operational and financial performance. 3. The method of claim 1 , wherein the analysis assesses impacts due to historical or potentially new power generation system conditions. 4. A non-transitory computer-readable medium having executable instructions stored thereon that, in response to execution, cause a processor of a system to perform operations, comprising: receiving a transmission of a plurality of load forecasts associated with individual operating plans having scheduling intervals created by a plurality of scheduler engines that are security constrained unit commitments and economic dispatch sequences, wherein respective scheduler engines of the plurality of scheduler engines have different look-ahead periods and different scheduling intervals, and at least one of the individual operating plans comprises a constraint defining fuel consumption reserved for at least one scheduling interval of the scheduling intervals for generation of electrical power by a power generation system; tracking real-time power generation system conditions associated with execution of a comprehensive operating plan during the generation of the electrical power by the power generation system, the comprehensive operating plan generated from the load forecasts associated with the individual operating plans and the constraint defining the fuel consumption reserved for the at least one scheduling interval of the scheduling intervals for generation of the electrical power by the power generation system; performing an analysis on at least one of a performance metric, a root-cause impact, or a process re-engineering associated with the execution of the comprehensive operating plan against a use-case based upon the power generation system conditions, wherein the use-case comprises respective scenarios having perturbations of impact factors on the power generation system conditions, and the analysis comprises a two-round optimization on each scenario, wherein a first round of the two-round optimization comprises a security constrained unit dispatch optimization and a second round of the two-round optimization comprises a sequential security constrained economic dispatch optimization on a plurality of time intervals; displaying a result of the analysis on the at least one of the performance metric, a root-cause impact, or a process re-engineering for each scenario; adjusting the comprehensive operating plan based upon the result of the analysis on the at least one of the performance metric, the root-cause impact, or the process re-engineering for each scenario; and initiating the power generation system to dispatch power generation system resources according to the adjusted comprehensive operating plan to generate the electrical power. 5. The non-transitory computer-readable medium of claim 4 , the operations further comprising: enabling user-defined impact factors for the analysis. 6. The non-transitory computer-readable medium of claim 4 , the operations further comprising: automatically executing the analysis in response to an event. 7. The method of claim 1 , wherein at least one of the individual operating plans comprises a constraint defining energy consumption reserved for at least one interval. 8. A system, comprising: a processor, communicatively coupled to a memory that stores executable instructions, that executes or facilitates execution of the executable instructions, comprising: a plurality of scheduler engines that are security constrained unit commitments and economic dispatch sequences, wherein respective scheduler engines have different look-ahead periods and different scheduling intervals, and configured to generate individual operating plans having scheduling intervals and comprising respective load forecasts, wherein at least one of the individual operating plans comprises a constraint defining fuel consumption reserved for at least one scheduling interval of the scheduling intervals for generation of electrical power by a power grid system; a demand forecast integrator configured to: generate a comprehensive operating plan from the load forecasts and based on the constraint defining the fuel consumption reserved for the at least one scheduling interval of the scheduling intervals for generation of the electrical power by the power grid system; and an after-the-fact analysis tool configured to: monitor real-time power grid system conditions associated with execution of a comprehensive operating plan during the generation of the electrical power by the power grid system; perform an analysis on at least one of a performance metric, a root-cause impact, or a process re-engineering associated with the execution of the comprehensive operating plan against a use-case based upon the power grid system conditions, wherein the use-case comprises respective scenarios having perturbations of impact factors on the power grid system conditions, and the analysis comprises a two-round optimization on each scenario, wherein a first round of the two-round optimization comprises a security constrained unit dispatch optimization and a second round

Assignees

Inventors

Classifications

  • G06Q10/04Primary

    Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title

  • Energy or water supply · CPC title

  • Prediction of business process outcome or impact based on a proposed change · CPC title

  • Cross-Sectional Technologies · mapped topic

  • Cross-Sectional Technologies · mapped topic

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What does patent US9727828B2 cover?
A method is provided for evaluating operational and financial performance for dispatchers in power grid control centers associated with utility systems. A comprehensive operating plan is provided that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. after the fact analysis of past events and practices is performed. Actual system and resourc…
Who is the assignee on this patent?
Sun David, Cheung Kwok, Chiu But-Chung, and 5 more
What technology area does this patent fall under?
Primary CPC classification G06Q10/04. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 08 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).