Power Facility Selection Using Response Data

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Solution Overview

Problem

Existing demand response systems lack an automatic technique for accurately selecting a combination of power consuming utilities to achieve power adjustment quantities, making it difficult for aggregators to respond effectively to power supply utility requests.

Innovation Solution

A management apparatus and method that acquires instruction and response information from power facilities, extracts candidate combinations based on past performance data, and selects the most suitable combination for power adjustment using acceptance and achievement metrics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual selection of power facilities is performed based on human judgement and past data, then selection accuracy can be maintained for existing facilities, but the system cannot adapt to changes or increases in the number of power facilities

Engineering Contradiction:

Improveadaptability to changes in power facilitiesVSAvoidcomplexity of selection system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically performs facility selection without human intervention by using the derivation unit to generate candidate combinations and the selection unit to choose the optimal combination based on response information. This self-service mechanism enables the system to adapt to any changes in the power facility portfolio automatically.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts its selection based on real-time response information from power facilities rather than relying on static historical data. The derivation unit continuously generates new candidate combinations, and the selection unit continuously updates its choice based on current facility responses, making the system adaptable to changes.

Inventive Principle:

Principle #15Dynamics

2Quantity of substance

If the number of power facilities increases, then more power adjustment capacity becomes available, but manual selection becomes increasingly difficult and error-prone

Engineering Contradiction:

Improvenumber of power facilitiesVSAvoidease of facility selection

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The selection process is segmented into two distinct units: the derivation unit that generates multiple candidate combinations of power facilities, and the selection unit that evaluates these candidates using response information. This segmentation makes the system capable of handling large numbers of facilities by breaking down the complex selection task into manageable steps.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The derivation unit acts as an intermediary that processes the raw data about power facilities and generates structured candidate combinations. This intermediary layer simplifies the subsequent selection process by presenting only relevant, pre-processed options to the selection unit, making the system scalable to large numbers of facilities.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automatic selection is implemented without considering past response behavior, then processing speed increases, but selection accuracy decreases

Engineering Contradiction:

Improvespeed of facility selectionVSAvoidaccuracy of power adjustment achievement

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by having the derivation unit generate multiple candidate combinations before the final selection is made. This preliminary structuring of options, combined with the use of historical response information in the selection phase, enables both fast processing and accurate selection by preparing the decision framework in advance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback from past response information into the selection process. The selection unit uses historical data about how power facilities responded to previous demand response requests to evaluate and rank candidate combinations, ensuring that automatic selection maintains high accuracy by learning from past performance.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10644507B2Management apparatus, management method, and management program

Publication Date: 2020.05.05 PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD

AI summary

Deriver extracts, based on a power adjustment quantity provided from a power supply utility, a plurality of candidate combinations of power facilities that are candidates that achieve the power adjustment quantity from among a plurality of power facilities. Deriver derives a group of candidate combinations of power facilities that includes the plurality of candidate combinations of power facilities extracted. Selector selects a combination of power facilities that achieves the power adjustment quantity from among the group of candidate combinations of power facilities based on response information of each power facility in the past, the response information being information in response to a DR request.