Demand Response Program Management Apparatus
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Solution Overview
Problem
Current demand response (DR) programs for electric power demand adjustment are inefficiently managed, often failing to achieve targets due to manual processes and lack of automation in program creation and re-creation.
Innovation Solution
An electric power demand adjustment program management apparatus and method that includes a communication unit for bidirectional communication with customer terminals, a program unit for creating demand adjustment programs based on predetermined constraints and customer information, and a providing unit for investigating and addressing program creation failures, enabling efficient re-creation of DR programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used to create and re-create DR programs, then flexibility in adjusting program parameters is maintained, but the time and effort required increases significantly
Solution Approach 1:
The system pre-establishes multiple DR program templates with different constraint conditions (e.g., varying incentive levels, adjustment targets, time blocks) before actual demand response events occur. When program creation is needed, the system automatically selects and instantiates appropriate templates, eliminating the need for manual re-creation and significantly reducing time requirements while maintaining parameter flexibility through template selection.
Solution Approach 2:
The system enables dynamic modification of program parameters by allowing operators to adjust template configurations and constraint conditions without re-creating entire programs. This involves changing parameters such as incentive amounts, adjustment targets, time blocks, and customer participation requirements, allowing flexible adaptation to different demand response scenarios while leveraging automated template-based structures.
2Productivity
If automated program creation is implemented, then efficiency and speed improve, but the ability to handle complex constraint conditions and customer-specific requirements may be reduced
Solution Approach 1:
The system segments DR program creation into modular components: customer selection modules, constraint condition modules (with various types such as incentive constraints, adjustment target constraints, time block constraints), and program generation modules. Each module handles specific aspects independently, allowing the automated system to manage complexity through structured decomposition while maintaining high efficiency through specialized processing for each segment.
Solution Approach 2:
The system introduces constraint condition templates as intermediaries between automated program creation and complex customer requirements. These templates encode sophisticated constraint logic (including incentive structures, adjustment targets, time blocks, and customer-specific conditions) in a standardized format that the automated system can process efficiently while still accommodating diverse and complex real-world requirements.
3Reliability
If DR programs are created with strict target requirements, then grid stability and power quality improve, but the likelihood of program creation failure increases
Solution Approach 1:
The system dynamically adjusts constraint conditions during program creation by incorporating multiple constraint types (incentive constraints, adjustment target constraints, time block constraints) that can be flexibly configured and modified. This dynamic approach allows the system to find feasible programs that meet grid reliability requirements while adapting to customer capabilities, reducing creation failures through real-time parameter optimization rather than rigid fixed targets.
Solution Approach 2:
The system implements feedback mechanisms where program creation results (success or failure) are analyzed to identify constraint condition issues. When creation fails, the system uses this feedback to adjust constraint parameters, select different customer combinations, or modify program configurations, enabling rapid re-creation attempts that learn from previous failures and efficiently achieve grid stability targets.
Data Source
AI summary
An electric power demand adjustment program management apparatus, comprises a server which includes: a communication unit that communicates with a plurality of customer terminals that manage customer devices through a communication network; a program unit that creates an electric power demand adjustment program showing a demand adjustment amount allocated to at least one first customer terminal selected from the plurality of customer terminals in each predetermined time segment, based on predetermined constraint conditions and predetermined information received from the plurality of customer terminals; a program executing unit that transmits the electric power demand adjustment program, and instructs the first customer terminal to execute the electric power demand adjustment program; and a providing unit that provides, when the program unit fails to create the electric power demand adjustment program, investigation result information including an investigation result for a cause of the failure.