Transmission Evaluation System Contingency Sorting
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Solution Overview
Problem
Current transmission system evaluation methods are inefficient in handling large numbers of contingency scenarios, leading to hundreds or thousands of results that complicate the identification of cost-effective solutions for overload conditions, as they require extensive analysis and simulation to determine the best course of action for modifying or upgrading infrastructure.
Innovation Solution
A method involving the creation of computer models of transmission networks, simulation of various contingency scenarios, sorting and prioritization of results, and application of remediation solutions such as reconfiguration, dispatching, or upgrading, using a combination of data storage, expert systems, and pattern recognition to identify and evaluate potential solutions for overload conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extensive analysis and simulation of hundreds or thousands of contingency scenarios are performed, then comprehensive evaluation of transmission system overload conditions is achieved, but the complexity of handling and identifying cost-effective solutions increases significantly
Solution Approach 1:
The patent segments the large set of contingency scenarios into manageable groups or batches for analysis. By dividing the hundreds or thousands of scenarios into smaller subsets, the system can process and evaluate them systematically without being overwhelmed by the total complexity, while still achieving comprehensive coverage of all contingencies.
Solution Approach 2:
The patent introduces an intermediary sorting and prioritization mechanism that acts as a mediator between the raw simulation results and the final solution identification. This intermediary layer organizes the complex results by applying sorting criteria and prioritization rules, making the information more manageable and easier to interpret for identifying cost-effective solutions.
2Reliability
If hundreds or thousands of contingency scenarios are analyzed, then thorough identification of overload conditions is achieved, but the time required for analysis and simulation increases
Solution Approach 1:
The patent applies preliminary sorting and prioritization actions to contingency scenarios before conducting full-scale simulation analysis. By pre-processing and organizing scenarios based on initial criteria, the system identifies and focuses computational resources on the most critical cases, reducing the overall analysis time while maintaining thorough overload identification.
Solution Approach 2:
The patent implements a feedback mechanism where results from initial analysis are used to refine and prioritize subsequent analysis steps. The sorting and prioritization process uses feedback from preliminary evaluations to focus computational effort on scenarios most likely to reveal critical overload conditions, thereby reducing total analysis time while maintaining reliability.
3Measurement precision
If comprehensive simulation of multiple contingency scenarios is performed, then accurate identification of remediation solutions is achieved, but the computational resources and cost increase
Solution Approach 1:
The patent extracts and focuses computational resources on the most critical contingency scenarios that are most likely to produce valuable remediation insights. By taking out and prioritizing specific high-impact scenarios from the full set, the system achieves accurate solution identification for the most important cases while reducing overall computational resource consumption.
Solution Approach 2:
The patent changes the parameters of scenario selection and analysis priority based on criteria such as potential impact, likelihood of overload, and cost-effectiveness. By dynamically adjusting which scenarios receive full computational analysis versus preliminary screening, the system optimizes the balance between solution identification accuracy and computational resource usage.
Data Source
AI summary
Disclosed are various embodiments for transmission evaluation. In one embodiment, among others, a method includes evaluating a plurality of contingencies to generate a plurality of contingency results, where at least one of the contingency results includes an overload condition. The evaluation is based at least in part upon a case associated with a transmission network. The method further includes sorting the plurality of contingency results based upon corresponding overload-contingency pairs and determining a potential remediation solution to the overload condition based at least in part upon the overload-contingency pair. In another embodiment, a system includes a transmission evaluation application executed in a computing device. The application includes logic that obtains a plurality of contingency evaluation results including an overload condition, determines at least one potential remediation solution to the overload condition, updates the case to include the potential remediation solution, and generates a second plurality of contingency evaluation results.