Electric Power Protection Capability Regions Using Geometric Primitives
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Solution Overview
Problem
Existing systems face challenges in efficiently producing dynamic capability regions for monitored equipment, as they often rely on complex algorithms and computational resources, making it difficult to adapt and reuse operating envelopes across different systems and processes.
Innovation Solution
The system utilizes an intelligent electronic device with a capability region module that analyzes data sets using geometric primitives to produce capability regions, allowing for dynamic adjustments and comparisons with operating points, enabling control actions based on geometric operations and variable changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex algorithms and computational resources are used to produce capability regions, then measurement precision and reliability are improved, but device complexity and computational resource usage increase
Solution Approach 1:
The capability region is segmented into multiple geometric primitives (circles, rectangles, triangles, polygons) that can be independently defined and manipulated. Each primitive represents a specific constraint or operational boundary, allowing the complex capability region to be constructed from simpler, manageable components rather than using a single complex algorithmic approach.
Solution Approach 2:
The system uses geometric primitives as reusable templates or copies that can be instantiated multiple times with different parameters. These primitives can be copied and transformed (scaled, rotated, translated) to create capability regions for different equipment and scenarios, reducing the need to develop complex algorithms for each new application.
2Ease of operation
If geometric primitives and Boolean operations are used to produce capability regions, then ease of operation and adaptability are improved, but manufacturing precision and measurement precision may be affected
Solution Approach 1:
The system implements a universal framework where a small set of geometric primitives and Boolean operations can represent a wide variety of capability region shapes and constraints. This multi-functional approach allows the same basic tools (primitives and operations) to handle diverse operational scenarios without requiring specialized complex algorithms for each case, maintaining both ease of operation and sufficient precision.
Data Source
AI summary
This disclosure discusses systems, methods, and techniques for producing and utilizing a capability region of one or more monitored equipment. To do so, an intelligent electronic device (IED) may access a data set of one or more known performance characteristics of the monitored equipment. The known performance characteristics are based on, or dependent of, one or more variables. The IED may also access a constraint library with geometric primitives. Then, the IED may analyze the data set and may produce the capability region using the geometric primitive. The IED may compare an operating point of the monitored equipment to the capability region of the monitored equipment. Based on the comparison, the IED may implement a control action.