Power Generating Unit Control via Real-Time Grid Strength

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Power systems with lower short circuit ratio values experience un-damped voltage oscillations due to fast voltage controller responses, and existing methods rely on static system strength values determined at commissioning, which are not effective in real-time operations, especially with changes in grid infrastructure and renewable energy integration.

Innovation Solution

A system and method that acquire measurement data sets from the point of integration of a power generating unit to an electrical grid, generate a grid model characterized by equivalent voltage and impedance, compute the system strength value, and control the power output based on real-time strength assessments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Stability of the object's composition

If voltage controller gains are reduced to slow down response time and reduce voltage oscillations, then voltage oscillation variations are reduced, but voltage recovery is delayed during start up conditions and contingency situations

Engineering Contradiction:
Improvevoltage oscillation stabilityVSAvoidvoltage recovery speed
Core Design Contradiction:
Stability of the object's compositionVSSpeed

Solution Approach 1:

The patent applies dynamics by making the voltage controller gain adaptive rather than fixed. The controller dynamically adjusts its gain based on real-time system strength conditions: using higher gains during normal operation for fast voltage recovery, and lower gains during weak grid conditions to prevent oscillations. This dynamic adjustment resolves the contradiction between fast response and oscillation suppression.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of voltage controller gain based on system strength assessment. By calculating real-time system strength and adjusting the controller gain parameter accordingly, the system achieves optimal performance across different operating conditions, resolving the trade-off between response speed and stability.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If static system strength values determined at commissioning are used for control, then control implementation is simple, but the control is not effective in real-time operations with changes in grid infrastructure and renewable energy integration

Engineering Contradiction:
Improvecontrol system complexityVSAvoidcontrol effectiveness
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements feedback by continuously measuring system strength in real-time and using this information to adjust control parameters. The system strength assessment based on frequency deviation provides ongoing feedback about grid conditions, enabling the controller to adapt to changing infrastructure and renewable energy integration, thus maintaining control effectiveness without excessive complexity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs self-assessment of its operating conditions through frequency measurement and automatic adjustment of control parameters. This self-service capability allows the system to adapt to changing grid conditions without external intervention or complex communication infrastructure, balancing simplicity with effectiveness.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11619206B2System and method for controlling a power generating unit
Publication Date: 2023.04.04 GE INFRASTRUCTURE TECH LLC
  • US11619206B2 patent drawing
  • US11619206B2 patent drawing
  • US11619206B2 patent drawing

AI summary

A method for controlling a power output of a power generating unit includes receiving at least two measurement data sets from a location of integration of a power generating unit to an electrical grid. Each measurement data set includes a plurality of electrical parameters. The method further includes generating a grid model of the electrical grid based on the at least two measurement data sets. The grid model is characterized by an equivalent grid voltage and an equivalent grid impedance. The method further includes computing a strength value of the electrical grid based on the grid model, using the at least two measurement data sets. The method also includes controlling the power output of a power generating unit based on the strength value of the electrical grid.