Distribution Grid Observability Evaluation and Sensor Allocation
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Solution Overview
Problem
Distribution grids face challenges in managing and controlling power flows due to the increased integration of distributed energy resources, lacking effective tools for sensor allocation that account for unbalanced phases, topological complexities, and uncertainty, resulting in inadequate observability and instrumentation.
Innovation Solution
The development of systems and techniques to evaluate and improve distribution-grid observability by quantifying sensor data through a system model, identifying islands of observability, and generating sensor allocation plans to maximize or minimize sensor costs, using methods such as measurement fractions, estimation fractions, and model validity to determine optimal sensor placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If distributed energy resources are integrated into distribution grids, then power generation capacity and sustainability are improved, but observability and control capability deteriorate
Solution Approach 1:
The system performs preliminary assessment of observability deficiencies by analyzing the distribution grid model before sensor deployment, identifying critical unobservable areas and calculating the minimum sensor requirements needed to achieve complete observability
Solution Approach 2:
The patent introduces computational modeling and simulation as an intermediary between physical sensor measurements and grid state knowledge, using system models to estimate unmeasured quantities and fill information gaps where direct sensing is not feasible
2Measurement precision
If sensors are added to improve observability, then measurement capability is improved, but system complexity and cost increase
Solution Approach 1:
The system evaluates multiple sensor allocation scenarios by changing parameters such as sensor locations, types, and quantities, optimizing the configuration to achieve complete observability with minimum sensors and calculating metrics like measurement fraction and estimation fraction to quantify improvement
Solution Approach 2:
The patent identifies that complete observability can be achieved by strategically placing sensors at critical locations rather than uniformly distributing them, using model-based estimation to compensate for unmeasured areas and reducing the total number of sensors required
3Ease of manufacture
If existing sensor allocation tools are used for distribution grids, then tool availability is improved, but accuracy and reliability deteriorate due to inability to account for unbalanced phases and topological complexities
Solution Approach 1:
The patent segments the distribution grid into phase-separated models and analyzes each phase independently while accounting for coupling effects, allowing the system to handle unbalanced three-phase conditions and complex topologies that legacy single-phase tools cannot accommodate
Solution Approach 2:
The system creates a universal assessment framework that can handle multiple grid configurations including balanced and unbalanced phases, radial and meshed topologies, and various sensor types, making it applicable to diverse distribution grid scenarios unlike specialized legacy tools
Data Source
AI summary
This document describes systems and techniques for evaluating and improving distribution-grid observability. These systems and techniques allow engineers to quantify the observability of a distribution grid, which represents an ability to combine actual measurements and various types of computations (e.g., analytics, estimators, forecasters), from a system model. Distribution engineers can also identify islands of observability where operating parameters, including voltages, currents, and power flows, can be determined from available sensor readings. By exclusion, distribution engineers can similarly identify areas of the distribution grid with observability deficiencies that may require additional instrumentation to maintain proper operation. Distribution engineers, using an iterative or automated process, can determine the observability of the system model with new or relocated sensors to generate a sensor allocation plan. The sensor allocation plan can indicate the number and location of sensors to either maximize observability for a fixed sensor cost or minimize sensor cost for predetermined observability.


