Demand Response Index Power Charge Generation

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Solution Overview

Problem

Existing demand response systems face inefficiencies in controlling electric home appliances due to the disconnect between real-time power rates and actual power usage, leading to ineffective energy savings for both consumers and power supply companies.

Innovation Solution

A demand response system that generates index power charges by multiplying charge rates with power usage data, then divides these charges into multiple sections to generate DR signals for controlling electric home appliances, optimizing energy usage based on real-time charges.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If demand response control is based on real-time power rate alone, then control simplicity is maintained, but control effectiveness deteriorates because power rate peak does not align with actual charge peak

Engineering Contradiction:
Improvecontrol simplicityVSAvoidcontrol effectiveness
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent introduces an index power charge as an intermediary metric that combines real-time power rate with actual power usage data. This intermediary serves as a mediator between the simple power rate signal and the complex billing charge, enabling effective demand response control that aligns with actual customer charges while maintaining system-wide coordination benefits.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If demand response control is based on customer power usage amount alone, then individual customer charge optimization is improved, but system-wide coordination deteriorates due to lack of real-time power rate signal

Engineering Contradiction:
Improvecharge optimizationVSAvoidsystem-wide coordination
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent merges two previously separate control signals - the real-time power rate (which provides system-wide coordination) and the customer's actual power usage amount (which enables individual charge optimization) - into a single unified index power charge metric. This combination allows both system-wide coordination and individual customer charge optimization to work together effectively.

Inventive Principle:
Principle #5Merging (Combining)

3Loss of information

If control is based on both real-time power rate and power usage amount separately, then comprehensive information is available, but control precision deteriorates due to timing mismatch between rate and usage peaks

Engineering Contradiction:
Improveinformation completenessVSAvoidcontrol precision
Core Design Contradiction:
Loss of informationVSMeasurement precision

Solution Approach 1:

The patent performs preliminary calculation of the index power charge by multiplying the real-time power rate with the customer's power usage amount before control decisions are made. This preliminary action creates a pre-integrated metric that eliminates the timing mismatch problem, allowing control systems to act on a single precise signal rather than trying to coordinate two separately varying signals.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10311387B2Remote energy management to control household electrical appliances based on electricity pricing
Publication Date: 2019.06.04 KT CORP
  • US10311387B2 patent drawing
  • US10311387B2 patent drawing
  • US10311387B2 patent drawing

AI summary

A demand response system and method. The demand response system includes a power rate reception unit for receiving information about charge rates for a unit of power from an external power trading server. An amount-of-power used reception unit receives information about amounts of power used by a customer from a gateway, a first data generation unit which generates first data including information about charge rates for a unit of power for respective time spans, a second data generation unit which generates second data including information about amounts of power used by the customer for the respective time spans, and a third data generation unit which generates third data including information about index power charges for the customer for the respective time spans.