Distributed Energy Metering with Representative Data Aggregation

Solution Overview

Problem

Distributed small-scale energy assets struggle to provide operational data independently to power grids due to latency and high processing costs in conventional metering systems, necessitating improved methods for efficient data aggregation and reduced latency.

Innovation Solution

A computer-implemented method and system for operational metering that filters out irrelevant data, selects representative data, and aggregates it in a distributed processing system, reducing data volume and latency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If operational data from all energy provision devices is collected and aggregated without filtering, then complete operational information is obtained, but data processing time and resource requirements increase significantly

Engineering Contradiction:

Improveoperational information completenessVSAvoiddata processing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent extracts only the essential operational parameters needed for grid balancing (active power, reactive power, frequency, voltage) from the complete set of operational data generated by energy provision devices. This selective extraction removes unnecessary data while preserving the critical information required for real-time grid management, thereby reducing processing time without sacrificing operational completeness.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the data processing workflow into distinct stages: data collection from multiple devices, filtering to identify essential parameters, aggregation of segmented data streams, and transmission to the grid operator. This segmentation allows parallel processing of different data types and reduces the overall processing time while maintaining information completeness.

Inventive Principle:

Principle #1Segmentation

2Reliability

If operational data from multiple small-scale energy provision devices is aggregated, then sufficient energy trading capability is achieved, but processing resource requirements and costs increase

Engineering Contradiction:

Improveenergy trading capabilityVSAvoidprocessing resource requirements

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts only the essential operational parameters needed for grid balancing (active power, reactive power, frequency, voltage) from the complete set of operational data generated by energy provision devices. This selective extraction removes unnecessary data while preserving the critical information required for real-time grid management, thereby reducing processing time without sacrificing operational completeness.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies partial action by collecting and processing only the subset of operational data that is sufficient for energy trading and grid balancing purposes, rather than processing all available data from each device. This approach achieves the minimum necessary processing level to enable reliable energy trading while avoiding the excessive resource consumption that would result from comprehensive data aggregation.

Inventive Principle:

Principle #16Partial or excessive action

3Loss of information

If all operational data is transmitted to the power grid, then complete operational visibility is achieved, but data transmission volume and network load increase

Engineering Contradiction:

Improveoperational visibilityVSAvoiddata transmission volume

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential operational parameters needed for grid balancing (active power, reactive power, frequency, voltage) from the complete set of operational data generated by energy provision devices. This selective extraction removes unnecessary data while preserving the critical information required for real-time grid management, thereby reducing processing time without sacrificing operational completeness.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20250350144A1Systems for and methods of operational metering for operational metering for a distributed energy system

Publication Date: 2025.11.13 KRAKEN TECHNOLOGIES LTD

AI summary

The present disclosure relates to a computer-implemented method of operational metering for a distributed energy system arranged to provide energy to a power grid, the distributed energy system comprising a plurality of energy provision devices configured to output stored energy and an operation metering module configured to control operation of the plurality of energy provision devices. the method being performed by the operation metering module and comprising: receiving raw data from the plurality of energy provision devices, the raw data comprising operational data of each energy provision device; processing the raw data to remove a portion of the operational data of each energy provision device; selecting representative data from the processed raw data for each energy provision device representative of a state of each energy provision device; and aggregating the representative data of each energy provision device into an aggregated data package and sending the aggregated data to the power grid.