Residual Load Signal Analysis for Real-Time Generator Attribution
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Solution Overview
Problem
Power distribution networks face challenges in accurately estimating and managing the contributions of various energy generators in residual load signals, which is crucial for utility operations but often hindered by the lack of direct measurements of these contributions.
Innovation Solution
The method involves obtaining residual load data from nodes within the power generation and distribution system, analyzing this data using a combination of physical models for specific energy generator classes and generalized additive models to identify the types and contributions of energy generators, and dynamically adjusting energy generation to balance supply and demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct measurements of energy generator contributions are implemented, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces residual load signals as an intermediary measurement that indirectly reflects energy generator contributions. Instead of directly measuring each generator's output, the system measures the residual load (difference between total demand and known generator output) at distribution nodes, which serves as a proxy indicator for distributed energy resource contributions.
Solution Approach 2:
The patent replaces physical measurement devices (sensors, meters) at generator locations with computational analysis of existing residual load data. The estimation system uses signal processing and data analysis algorithms to substitute for direct physical measurement, reducing hardware complexity while maintaining measurement capability.
2Productivity
If real-time analysis of residual load data is performed, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent performs partial analysis by focusing computational resources on analyzing residual load signals at specific distribution nodes where distributed energy resources are suspected to be connected. Rather than continuously analyzing all data from the entire grid, the system selectively processes data from relevant nodes and time periods, reducing overall computational energy consumption.
3Reliability
If comprehensive monitoring of all energy generators is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent extracts and analyzes only the relevant residual load signal components that contain information about distributed energy resource contributions. By separating and focusing on the specific signal features that indicate generator activity (such as patterns, frequencies, and magnitudes of residual load variations), the system achieves reliable detection without monitoring all aspects of the power system.
Data Source
AI summary
Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.