Facility-Level Demand Response Control for Power Aggregators
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Solution Overview
Problem
Aggregators face challenges in improving their response capability to demand response (DR) requests from power supply companies, leading to potential penalties and discomfort for consumers due to inadequate load control methods.
Innovation Solution
An aggregator system that predicts adjustable power for each consumer facility and outputs control instructions based on predicted adjustment power and DR instructions, allowing for efficient demand/supply adjustments while minimizing penalties and consumer discomfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If load control is performed to decrease power consumption by devices, then the aggregator can meet DR requests and avoid penalties, but consumer comfort is reduced
Solution Approach 1:
The invention segments the power adjustment task by predicting and controlling power consumption at the individual facility level rather than applying blanket load control. Each facility's adjustment power is calculated separately based on its characteristics, allowing precise control that meets DR requests while preserving consumer comfort where possible.
Solution Approach 2:
The system performs preliminary action by predicting the power consumption of each facility before the DR request occurs. This advance prediction allows the aggregator to plan adjustments that satisfy power company requirements while minimizing impact on consumer comfort through informed decision-making about which facilities to adjust.
2Object-affected harmful factors
If storage batteries are installed at consumers to perform power demand/supply adjustment, then consumer comfort is maintained, but system complexity and cost increase
Solution Approach 1:
The invention enables facilities to serve themselves by predicting their own power consumption characteristics and determining their adjustment power autonomously based on their operational parameters. This self-service approach maintains consumer comfort without requiring external storage battery installations or complex centralized control systems.
3Reliability
If the aggregator divides large-scale DR requests into smaller amounts for multiple consumers, then the power supply company's demand is met, but the response capability and coordination complexity increase
Solution Approach 1:
The system implements feedback by continuously monitoring actual power consumption against predicted values for each facility. This feedback mechanism enables the aggregator to track the cumulative effect of individual facility adjustments in real-time, allowing rapid response to DR requests without complex coordination by providing visibility into the aggregate response as it develops.
Data Source
AI summary
An aggregator system outputting a control instruction relating to electric power to a consumer consuming electric power, in accordance with a variation of a power generation amount of a power supply company, the aggregator system predicting adjustment power that is an adjustable amount of received power according to each of facilities of the consumer and outputting a control instruction for adjusting received power to each of the facilities on the basis of the predicted adjustment power of each of the facilities and a DR instruction that is a demand/supply adjustment instruction for the electric power from the power supply company.