Feeder Solar Generation Estimation via Load-Irradiance Scaling

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Solution Overview

Problem

The variability in solar generation from distributed photovoltaic (PV) panels makes it difficult for grid operators to manage and operate a reliable electrical grid, as they lack accurate data on the total solar generation capacity, especially with the rapid increase in small, unreported installations.

Innovation Solution

A method that calculates maximum solar irradiance conditions and records actual changes in electrical load to identify solar generation variations, using a scaling factor derived from comparing load changes to the irradiance curve, estimating solar generation capacity without monitoring individual PV panels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If utilities monitor individual PV panels, then measurement precision of solar generation capacity is improved, but device complexity and cost increase significantly

Engineering Contradiction:
Improvesolar generation capacity measurementVSAvoidmonitoring system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines multiple measurement approaches (irradiance sensors, load change measurements, active power/reactive power analysis) into a unified estimation system. Instead of monitoring each PV panel individually, the system merges these different data sources to collectively estimate total solar generation capacity on the feeder, reducing device complexity while maintaining measurement precision.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces intermediate measurement parameters (irradiance levels, load changes, power factor variations) that serve as mediators between the PV panels and the estimation system. These intermediaries provide indirect but accurate information about solar generation capacity without requiring direct monitoring of each panel, thus reducing system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If utilities record all solar installations, then information completeness is improved, but loss of time and resources for data management increases

Engineering Contradiction:
Improvesolar installation data completenessVSAvoiddata collection and processing time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system enables self-service estimation by using automatically measured parameters (irradiance, load changes, power factor) that provide information about solar generation capacity without requiring manual data collection or utility intervention. The feeder's own operational data serves the dual purpose of power delivery and capacity estimation, eliminating time-consuming data management processes.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If the system analyzes active power and reactive power, then measurement precision of solar-driven load changes is improved, but device complexity increases

Engineering Contradiction:
Improvesolar generation variation detectionVSAvoidpower analysis complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies partial action by focusing analysis only on specific power parameters (active power and reactive power) that are most indicative of solar generation variations. Rather than analyzing all electrical parameters, the system selectively monitors these two key parameters, achieving sufficient measurement precision without the complexity of comprehensive power analysis.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11101653B2Solar generation estimation
Publication Date: 2021.08.24 S&C ELECTRIC CO
  • US11101653B2 patent drawing
  • US11101653B2 patent drawing
  • US11101653B2 patent drawing

AI summary

A method for estimating an amount of solar generation capacity on a portion of the electrical grid such as a feeder. The method calculates maximum irradiance conditions for the feeder's geographic location and the time of year, and also records actual changes in electrical load measured periodically at a source over a time span such as a month. An additional analysis of active power against reactive power on the feeder is used to identify changes in load which were driven by real consumption versus those driven by changes in solar generation. A comparison of the actual changes in electrical load due to solar generation variation to the maximum irradiance curve yields a scaling factor and provides an estimate of the solar generation capacity on the feeder.