Hierarchical Aggregation for Demand Response Management
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Solution Overview
Problem
Current demand response management systems face inefficiencies in managing large numbers of customers and resources, particularly during peak consumption periods, as they require individual interactions and lack streamlined aggregation capabilities, leading to burdensome operations and suboptimal load profile management.
Innovation Solution
A demand response management system that enables utilities to aggregate customers and resources hierarchically, treating each group as a single entity for decision-making and signal propagation, allowing for automated DR signal generation and reporting, thereby simplifying the management of numerous participants and optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual customer management is used in demand response systems, then detailed control and monitoring is achieved, but operational complexity and management burden increase significantly
Solution Approach 1:
The patent segments the demand response system into hierarchical levels: individual customer devices, aggregation points (APs), and utility control centers. Each level manages a specific scope of customers, allowing detailed control at the device level while simplifying utility-level management through aggregation. This segmentation resolves the contradiction by enabling precise control without requiring the utility to manage every individual customer directly.
Solution Approach 2:
Aggregation points serve as intermediary entities between individual customers and the utility control center. These intermediaries consolidate data from multiple customers and relay aggregated information to the utility, reducing the communication and management overhead while maintaining the ability to provide detailed control signals to individual participants when needed.
2Manufacturing precision
If individual customer interactions are required for demand response, then precise load management is achieved, but operational efficiency and scalability deteriorate
Solution Approach 1:
The patent merges multiple individual customer responses into aggregated load management at higher system levels. By combining the demand response contributions of multiple customers through aggregation points, the system achieves effective load management without requiring separate individual interactions for each customer, thus improving operational efficiency while maintaining control precision through the hierarchical structure.
Solution Approach 2:
The patent introduces a hierarchical dimension to the demand response system, organizing customers into nested groups across multiple levels (devices → aggregation points → utility). This dimensional organization allows the system to simultaneously achieve precise load management at the device level and high operational efficiency at the utility level by managing aggregated groups rather than individual customers directly.
3Ease of operation
If aggregation of customers is implemented, then operational burden is reduced and scalability improves, but control precision and monitoring capability are reduced
Solution Approach 1:
The hierarchical segmentation allows the system to provide both aggregated views for ease of operation and detailed monitoring capabilities when needed. Utility operators can manage large numbers of customers through aggregation points for operational simplicity, while the system retains the capability to drill down to individual customer-level monitoring and control for specific situations, thus resolving the contradiction between operational ease and monitoring precision.
Data Source
AI summary
A demand response management system which may be used by utilities, independent system operators, intermediaries and others to manage operations of demand response programs relative to customers, clients, participants, and users of outputs from the utilities, independent system operators, and the like. The demand response management system may provide demand response signal propagation and generation from demand response events. There may be an aggregation of customers, clients, participants, users, and the like. The aggregation may be performed and managed by the utility, independent system operator, or the like, before a DR event is initiated and even before a DR signal is generated.