Equipment-Level Power Prediction for Multi-Facility Load Control
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Solution Overview
Problem
Existing power control systems lack the ability to accurately predict and manage power usage per equipment device, leading to inefficient distribution and potential exceedance of contract power limits in facilities.
Innovation Solution
A power control system that includes an acquisition unit for gathering power usage data, a prediction unit for forecasting power usage based on historical data, and a control unit for managing total power usage to meet predetermined conditions, ensuring that power allocation is optimized and contract limits are not exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If power control is performed based on simple aggregation of consumer data without individual equipment prediction, then system complexity is reduced, but power usage prediction accuracy deteriorates
Solution Approach 1:
The system segments power consumption analysis from aggregate consumer-level data to individual equipment-level data. By dividing the power control system into consumer units, each containing multiple equipment devices with individual power usage information, the system achieves accurate prediction of total power usage through summation of predicted equipment power consumptions, thereby improving prediction accuracy without excessive system complexity
Solution Approach 2:
The patent introduces an intermediary data structure (consumer unit) that bridges between individual equipment devices and aggregate consumer data. Each consumer unit contains equipment device information and power usage data, serving as a mediator that enables both detailed equipment-level prediction and simplified aggregate control, resolving the contradiction between detail accuracy and system simplicity
2Reliability
If power allocation is strictly controlled based on predicted values, then contract power limits are guaranteed, but flexibility in responding to actual demand deteriorates
Solution Approach 1:
The system dynamically adjusts power allocation based on real-time comparisons between predicted and actual power usage. When actual usage deviates from predictions, the system adapts by modifying allocation proportions for subsequent periods, ensuring contract limits are met while maintaining flexibility to respond to changing demand patterns
Solution Approach 2:
The patent implements a feedback mechanism where actual power usage data is continuously monitored and compared against predicted values. This feedback loop enables the system to learn from deviations and adjust future allocations, ensuring both reliability (by preventing contract violations) and adaptability (by responding to actual demand conditions)
3Measurement precision
If power usage data is collected from all equipment devices in detail, then prediction accuracy is improved, but information processing complexity increases
Solution Approach 1:
The system segments power data collection and processing into hierarchical levels: individual equipment devices, consumer units, and aggregate consumer data. This segmentation allows detailed data collection at the equipment level while simplifying processing at higher levels through modular consumer unit structures, reducing overall information processing complexity
Solution Approach 2:
The patent merges individual equipment power usage predictions within each consumer unit to produce aggregate consumer-level predictions. By combining equipment data at the consumer unit level before final aggregation, the system reduces the total number of processing operations and simplifies data management while maintaining prediction accuracy
Data Source
AI summary
[Object] To control the power usage by plural facilities such that information related to the power usage is acquired from equipment devices and the power usage per equipment device is accurately predicted based on the acquired information.[Solution] A power control system for performing power control such that a total power usage of plural facilities satisfies a predetermined power usage condition, the power control system including an actual result information acquisition unit 360 that acquires information on power usages by equipment devices installed in the facilities; a first prediction unit 320 that predicts power usages of the facilities in which the equipment devices are installed, based on the information on the power usages by the equipment devices; and a control information generation unit 340 that controls the total power usage of the plural facilities, based on the power usages of the facilities predicted by the first prediction unit 320.