Demand Response Aggregation at Distribution Transformers
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Solution Overview
Problem
Current demand response (DR) management systems lack integration with distribution grid topology, leading to inefficiencies in load management and potential grid violations, as they do not accurately account for DR impacts at transmission nodes and distribution feeders.
Innovation Solution
The integration of controllable DR management systems with distribution grid topology, utilizing the webDistribute framework, which aggregates DR values at distribution transformers and determines their impact on the distribution grid, allowing for real-time monitoring and scheduling to prevent violations and optimize energy distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If demand response management systems operate without integration with distribution grid topology, then system simplicity is maintained, but measurement precision and reliability of DR impact assessment deteriorate
Solution Approach 1:
The patent introduces an intermediary component that bridges demand response management and distribution grid topology. This intermediary aggregates DR values at distribution transformers and transmits them to transmission operators, enabling accurate DR impact assessment without requiring full integration of the DR management system into the grid topology infrastructure.
2Measurement precision
If demand response aggregation is performed at distribution transformers with topology integration, then measurement precision and grid reliability improve, but device complexity increases
Solution Approach 1:
The patent segments the demand response aggregation process into discrete components: individual customer DR values are aggregated at distribution transformers, then transmitted to transmission operators. This segmentation allows precise measurement at each level while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system performs multiple functions through a unified aggregation mechanism: it aggregates DR values from individual customers, sums them at distribution transformer levels, transmits data to transmission operators, and enables both distribution and transmission level DR assessment simultaneously.
3Reliability
If real-time DR aggregation and violation detection are implemented, then grid reliability improves, but loss of time for data processing and transmission increases
Solution Approach 1:
The system performs preliminary aggregation of DR values at distribution transformers before transmitting to transmission operators. This preliminary action at the distribution level reduces the volume of data requiring transmission and processing at the transmission level, thereby reducing overall data processing time while maintaining real-time reliability monitoring.
Data Source
AI summary
Techniques are described for incorporating distribution network analysis in the demand response scheduling process. In one example, a method includes receiving demand response (DR) request from a DR initiator, transmitting the DR request to an aggregator, for each customer, receiving customer location information and a customer DR value from the aggregator, aggregating DR at a distribution transformer in a distribution system, determining if there are any violations in the distribution system, determining an aggregated DR value for each electric node affected by the DR request, and transmitting each determined DR value to the DR initiator.