Load Curtailment Portfolio Planning for Flexible Demand Response
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Solution Overview
Problem
Traditional demand response programs restrict customers to the lowest commitment level and require full compliance with program requirements, limiting participation and excluding those who cannot meet load reduction demands throughout the entire program period.
Innovation Solution
A system and method that includes a database for aggregating meter data and a load data analysis module to calculate load curtailment and resource commitment capabilities, a portfolio engine for optimizing resource portfolios, and a dispatch engine for real-time monitoring and control, allowing for flexible participation and increased market access by aggregating multiple participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional demand response programs require full compliance with program requirements, then program reliability is improved, but customer participation is reduced
Solution Approach 1:
The patent segments the demand response program into modular components that can be independently selected and combined. Customers can choose from various load reduction targets, time periods, and commitment levels, allowing them to participate according to their specific capabilities while maintaining overall program reliability through aggregated compliance.
Solution Approach 2:
The system dynamically adjusts program requirements and customer commitments based on real-time capabilities and needs. Commitment levels and load reduction targets are flexible rather than fixed, allowing the program to adapt to changing conditions while maintaining reliability through continuous monitoring and adjustment.
2Reliability
If demand response programs require load reduction throughout the entire program period, then program effectiveness is improved, but customer flexibility is reduced
Solution Approach 1:
The patent allows customers to meet program requirements through partial compliance rather than full continuous compliance. Customers can achieve required load reductions through intermittent actions or by exceeding requirements during certain periods, providing operational flexibility while maintaining overall program effectiveness.
Solution Approach 2:
The system implements periodic monitoring and assessment of load reduction compliance rather than continuous rigid requirements. This allows customers operational flexibility to manage their loads while ensuring program effectiveness through regular verification at key intervals.
3Device complexity
If each customer must independently meet program requirements, then program simplicity is improved, but market accessibility is reduced
Solution Approach 1:
The patent merges multiple customer resources and capabilities into aggregated portfolios that collectively meet program requirements. This allows individual customers with limited capabilities to participate by combining their resources with others, expanding market accessibility while maintaining a relatively simple overall program structure through unified management.
Solution Approach 2:
The system creates a universal platform that can accommodate diverse customer types, load profiles, and commitment levels through a single flexible framework. This multi-functional approach allows the same program structure to serve various market segments, from small commercial customers to large industrial facilities, without requiring separate programs for each.
Data Source
AI summary
The present disclosure relates to systems and methods for optimizing resource operations within an energy network. The systems and methods can include retrieving historical interval meter data, profile data, and a curtailment plan, determining, using the historical interval meter data, estimated annual deviation of a customer's load based on average interval load divided by peak load over a given period, calculating a load curtailment for the customer based on the historical interval meter data, the profile data, the curtailment plan, and the estimated annual deviation of the customer's load, and building a report, using the load curtailment, indicating a resource commitment capability for the customer to help inform market participation and operational decision making for load curtailment and distributed energy resources (DER).