Demand Response Battery Control with Corrected Baseline Prediction
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Solution Overview
Problem
Existing technologies face challenges in accurately predicting the base line demand power for demand response (DR) in power grids, leading to potential failures in ensuring sufficient power resources during DR execution.
Innovation Solution
A control device that acquires usage history and actual status of power storage devices, predicts a base line, corrects it based on deviations between scheduled and actual usage, and selects devices for charging and discharging to enhance prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a base line prediction is made without considering usage history deviations, then the calculation process is simple, but the prediction accuracy is insufficient leading to potential power resource supply failures
Solution Approach 1:
The system performs preliminary actions by acquiring and analyzing usage history data before executing the DR service. The base line prediction unit uses historical usage patterns to predict expected power consumption, and the base line correction unit adjusts these predictions based on identified deviations from actual usage. This preliminary analysis ensures accurate base line prediction while maintaining a structured calculation process that doesn't overly complicate the overall system.
Solution Approach 2:
The system implements feedback mechanisms by comparing actual usage status with predicted base line values. The base line correction unit uses this feedback from usage history deviations to continuously improve prediction accuracy. This feedback loop allows the system to learn from past performance and adjust future predictions, resolving the contradiction between simplicity and accuracy by using historical data rather than complex real-time calculations.
2Reliability
If the base line is corrected using detailed usage history information, then the power resource supply reliability is improved, but the data processing load increases
Solution Approach 1:
The system extracts only the essential information from usage history data - specifically, deviations between scheduled and actual usage patterns. Rather than processing all raw usage data, the base line correction unit focuses on extracting meaningful deviation patterns that directly impact base line accuracy. This extraction approach maintains high reliability in power resource supply while reducing the overall data processing load by filtering out unnecessary information.
3Measurement precision
If the base line prediction is made without correction, then the processing time is short, but the accuracy of power resource allocation is insufficient
Solution Approach 1:
The system performs base line correction in advance before DR service execution. By using historical usage data to pre-calculate correction factors and adjust base line predictions beforehand, the system achieves high accuracy without adding significant processing time during critical DR operations. This preliminary correction ensures accurate power resource allocation while maintaining efficient processing timelines.
Data Source
AI summary
A control device for controlling charging and discharging of power storage devices respectively owned by consumers who have declared participation in a DR with respect to a power grid, includes: an acquisition unit configured to acquire a usage history; a base line prediction unit configured to predict, for each consumer, a base line which is demand power assumed in a case where there is no request for the DR; a base line correction unit configured to correct, based on information related to a deviation between a usage schedule and an actual usage status of the power storage device included in the usage history, the base line in the DR to be executed this time; and a selection unit configured to select, based on the corrected base line, the power storage device for charging and discharging power with respect to the power grid among the plurality of power storage devices.