Clustered Power Dispatch for Flexible Demand Charge Control
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Solution Overview
Problem
Conventional system controllers for managing dispatchable electrical resources are inefficient and inflexible, leading to errors in demand response and increased demand charges due to uniform treatment of diverse resources, which results in suboptimal load management and potential penalties.
Innovation Solution
A method and system that receive electricity usage control instructions and determine tailored power dispatching modes based on individual and aggregate status characteristics of dispatchable resources, sending unique dispatch instructions to different portions of resources to optimize their usage and prioritize them effectively, thereby improving efficiency and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional system controllers treat all dispatchable electrical resources uniformly, then device complexity is reduced, but load management efficiency deteriorates and errors increase
Solution Approach 1:
The patent segments dispatchable electrical resources into multiple clusters based on their status characteristics. Each cluster receives customized dispatch instructions tailored to its specific characteristics, allowing differentiated management without requiring a completely complex centralized control system for each individual resource.
Solution Approach 2:
The patent applies local quality by providing different dispatch instructions to different clusters of resources based on their specific status characteristics. Each cluster is treated with the quality and control strategy appropriate to its characteristics, improving overall load management efficiency while maintaining reasonable controller complexity.
2Productivity
If uniform dispatch instructions are sent to all dispatchable resources, then ease of operation is maintained, but productivity and demand charge optimization deteriorate
Solution Approach 1:
The patent implements dynamic dispatch instruction generation that adapts to the real-time status characteristics of different resource clusters. The system dynamically determines optimal dispatch strategies based on current conditions, maximizing demand charge optimization while the automated nature maintains operational simplicity.
Solution Approach 2:
The patent changes dispatch parameters based on the status characteristics of different resource clusters. By adjusting dispatch instructions according to specific cluster characteristics such as efficiency, capacity, and operational status, the system optimizes productivity and demand charge management without requiring manual intervention.
3Ease of operation
If tailored dispatch instructions are implemented for different resource clusters, then load management efficiency is improved, but device complexity increases
Solution Approach 1:
The patent reduces control system complexity by segmenting resources into clusters that receive standardized yet customized instructions. This segmentation allows the controller to manage complexity through group-based strategies rather than individual resource management, improving load management efficiency while keeping the control system tractable.
Solution Approach 2:
The patent employs a universal controller architecture that can handle multiple types of dispatchable resources through a single multi-functional system. The controller uses status characteristics to universally determine appropriate dispatch strategies for any resource type, improving efficiency without requiring separate specialized controllers for each resource.
4Measurement precision
If aggregate status characteristics are used for dispatch decisions, then device complexity is reduced, but measurement precision and optimization capability deteriorate
Solution Approach 1:
The patent segments the data processing task by first determining aggregate status characteristics for resource clusters, then using these aggregated data points to guide dispatch decisions. This segmentation allows precise characterization of resource groups without requiring complex processing of every individual resource parameter, balancing measurement precision with manageable data processing complexity.
Data Source
AI summary
Multiple dispatchable resources such as energy storage systems, generators, and curtailable loads are used to fulfill electricity usage control instructions by implementing multiple different sets of dispatch instructions. The sets of dispatch instructions vary based on individual status characteristics and aggregate status characteristics of the dispatchable resources in order to use the resources optimally. The resources may in some instances be prioritized according to their status characteristics in order to improve response efficiency, improve cost-effectiveness, reduce errors and flawed fulfillment, and improve the ability of the resources to respond to different kinds of electricity usage control instructions over time.