Load Aggregation Controller for Grid Frequency Regulation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

The existing electrical power grid management systems incur substantial overhead costs and energy waste due to the need for ancillary generators and energy storage devices to maintain frequency control, as they require construction, maintenance, and scheduling, which can be inefficient and costly, especially when dealing with unpredictable load swings.

Innovation Solution

A method of grouping loads into aggregations based on their electrical power draw characteristics and generating a best-fit dispatch signal to match desired load responses, using historical AGC signal data, weather forecasts, and daily/seasonal cycles, to optimize frequency regulation through direct load control, thereby reducing the reliance on ancillary generators.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If ancillary generators are used for frequency control, then frequency regulation is maintained, but overhead costs and energy waste increase substantially

Engineering Contradiction:
Improvefrequency regulationVSAvoidenergy waste
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent enables loads to control themselves through automated dispatch signals. The load aggregation controller automatically adjusts individual load operation based on aggregate load predictions and grid frequency needs, eliminating the need for manual control or ancillary generators. Each load serves itself by responding to dispatch signals that optimize overall system frequency regulation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent extracts the frequency control function from dedicated ancillary generators and transfers it to the load population itself. By removing the need for separate frequency control devices and embedding control capabilities within the load management system, the invention eliminates substantial overhead costs while maintaining frequency regulation through intelligent load dispatching.

Inventive Principle:
Principle #2Taking out (Extraction)

2Reliability

If ancillary generators are scheduled ahead of time, then frequency control capacity is secured, but flexibility to handle unexpected load swings is reduced

Engineering Contradiction:
Improvefrequency control capacityVSAvoidflexibility for unexpected load swings
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic load dispatching where the aggregate load controller continuously adjusts dispatch signals to individual loads based on real-time grid frequency conditions and updated load predictions. This dynamic adjustment capability allows the system to adapt flexibly to unexpected load swings while maintaining secured frequency control capacity through automated real-time optimization.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses feedback from grid frequency measurements and load aggregation predictions to continuously optimize dispatch signals. The load aggregation controller receives frequency data, compares it with target frequency, and adjusts individual load operation accordingly, enabling the system to respond adaptively to both scheduled and unexpected load variations.

Inventive Principle:
Principle #23Feedback

3Reliability

If frequency response loads are used, then frequency regulation is improved, but control reliability is reduced due to decentralized nature

Engineering Contradiction:
Improvefrequency regulationVSAvoidcontrol reliability
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent merges the control functions of numerous decentralized frequency response loads into a unified load aggregation controller. This central coordination layer aggregates individual load responses, generates optimized dispatch signals, and ensures reliable frequency regulation by coordinating all loads as a unified controllable resource rather than independent decentralized units.

Inventive Principle:
Principle #5Merging (Combining)

4Adaptability or versatility

If direct load control is implemented, then ancillary generator dependency is reduced, but system complexity increases

Engineering Contradiction:
Improvereliance on ancillary generatorsVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the load population into manageable aggregations based on electrical characteristics, allowing each aggregation to be controlled independently with tailored dispatch signals. This segmentation reduces system complexity by breaking down the overall control problem into smaller, more manageable units while still achieving comprehensive frequency regulation across the entire load population.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10243359B2Method and system for using demand side resources to provide frequency regulation using a dynamic allocation of energy resources
Publication Date: 2019.03.26 BATTELLE MEMORIAL INST
  • US10243359B2 patent drawing
  • US10243359B2 patent drawing
  • US10243359B2 patent drawing

AI summary

In a direct load control system supporting frequency control of an electrical grid, loads are grouped into a plurality of load aggregations based on electrical power draw characteristics of the loads, e.g. power draw magnitude characteristic and transient slew rate. A best-fit dispatch signal is generated for each load aggregation to match a desired load response with a sum of predicted load responses of the aggregations each operating in accord with its best-fit dispatch signal. For each load aggregation, its best-fit dispatch signal is communicated to the loads of the load aggregation, and the loads of the load aggregation are operated in accord with the best-fit dispatch signal communicated to the loads. The desired load response may be generated based on historical Automatic Generation Control (AGC) signal data and at least one of (1) a weather forecast and (2) daily, weekly, and seasonal cycles.