Automated DR Rule Ranking for Power Consumption Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing Demand Response (DR) systems require manual registration of power reduction and instrument control rules, lacking automation for reducing power consumption beyond normal usage levels during peak demand situations.
Innovation Solution
A DR countermeasure proposal device that includes a communication unit, rule database, rule ranking history database, display, and DR execution unit, which automates the selection and execution of instrument control rules to reduce power consumption by ranking and prioritizing rules based on customer preferences and usage history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual registration of power reduction and instrument control rules is performed, then system complexity is reduced, but productivity and automation level deteriorate
Solution Approach 1:
The system automatically learns and infers instrument control rules by monitoring usage patterns and power consumption data, eliminating the need for manual rule registration. The device serves itself by autonomously generating control strategies based on observed behavior, thereby improving automation while keeping the interface simple for users.
Solution Approach 2:
The system performs preliminary learning and analysis of usage patterns during normal operation to pre-generate control rules before DR events occur. This preliminary action allows the system to be ready with automated responses when power reduction is needed, improving both automation level and response speed without requiring complex manual configuration.
2Ease of operation
If normal usage situation correction is performed, then ease of operation is improved, but power consumption reduction capability deteriorates
Solution Approach 1:
The system dynamically adjusts its control strategy based on the severity of the DR event. During normal corrections, it maintains ease of operation by restoring typical patterns. During severe DR events, it automatically implements more aggressive power reduction measures by selecting from learned control rules, thus achieving both ease of operation and sufficient energy reduction capability.
Solution Approach 2:
The system changes operational parameters of instruments based on DR event severity. For minor issues, it restores normal parameters for ease of operation. For severe power reduction needs, it applies predetermined parameter changes from learned control rules to achieve greater power consumption reduction while maintaining user-friendly operation.
3Productivity
If automated rule selection is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system creates simplified copies or representations of complex usage patterns and control rules through learned models. Instead of managing complex raw data, it works with condensed rule representations that capture essential control strategies, enabling automated selection without proportionally increasing device complexity.
Solution Approach 2:
The system introduces an intermediary learning layer that translates complex usage patterns into simplified control rules. This intermediary processing layer automates rule selection while abstracting the complexity, allowing the system to achieve high productivity without directly exposing complex internal mechanisms to users or requiring complex manual configuration.
Data Source
AI summary
There is provided a DR (Demand Response) countermeasure proposal device in which the communication unit receives a power consumption reduction, the rule database stores instrument control rules related to instruments, the rule ranking history database stores information on a ranking of the instrument control rules, the display displays the instrument control rules according to the ranking, the rule ranking changing unit changes the ranking of the instrument control rules in response to an instruction input from the customer, the DR execution unit selects at least one instrument control rule by execution of which the power consumption reduction request is satisfied in descending order of the ranking of the instrument control rules, and executes the at least one instrument control rule to control operation of at least one instruments related thereto.