Grid Load Curtailment Control With Verified Power Savings
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Solution Overview
Problem
Existing power load management systems lack real-time, accurate, and verified methods for controlling power consumption and creating operating reserves, failing to meet regulatory standards and efficiently manage load shifting, which leads to inefficiencies and secondary peak periods.
Innovation Solution
A system utilizing IP-based communication protocols with security encryption, enabling real-time load curtailment and tracking power savings, including a server for command processing, event management, and device control, to manage power flow through controllable devices and generate power supply values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time load curtailment is implemented, then power consumption control is improved, but system complexity increases
Solution Approach 1:
The system segments power consuming devices into controllable and non-controllable categories, and divides the management system into multiple components including event managers, client device managers, and device control managers. This segmentation enables targeted real-time control of specific devices without requiring complex management of all devices, thus improving power consumption control efficiency while managing system complexity.
Solution Approach 2:
The system performs preliminary actions by pre-identifying controllable devices, pre-calculating power supply values, and pre-establishing control hierarchies before load curtailment events occur. This allows the system to respond rapidly to real-time demands without complex decision-making during critical moments, improving control efficiency while maintaining manageable system complexity.
2Measurement precision
If accurate measurement and verification of power savings is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system implements feedback mechanisms where power consumption data is continuously collected from controllable devices, compared against baseline values, and used to verify actual power savings. This feedback loop provides accurate measurement and verification of power savings while using standardized data collection methods that avoid excessive system complexity.
Solution Approach 2:
The measurement system is designed to handle multiple functions including data collection, baseline comparison, power supply value calculation, and verification reporting within a unified framework. This multi-functionality approach improves measurement precision by integrating all verification steps while avoiding the complexity of separate specialized systems.
3Loss of energy
If operating reserves are created through load management, then energy efficiency is improved, but loss of time increases
Solution Approach 1:
The system creates operating reserves by pre-identifying and pre-configuring controllable devices that can be rapidly deployed during peak demand periods. Power supply values are pre-calculated and stored, allowing the system to create reserves quickly without time-consuming calculations during critical grid stress events, thus improving energy efficiency while minimizing response time delays.
4Loss of information
If comprehensive tracking of power savings for individual customers is implemented, then information completeness is improved, but device complexity increases
Solution Approach 1:
The data management system segments information tracking by customer, device, and time period, organizing comprehensive power savings data into structured segments. This segmentation enables complete tracking of individual customer power savings while managing data complexity through organized categorization and hierarchical data structures.
Data Source
AI summary
Systems and methods for managing power supplied over an electric power grid by an electric utility and/or other market participants to multiple power consuming devices, each of which having a Power Supply Value (PSV) associated with its energy consumption and/or reduction in consumption. Power flow to the power consuming devices is selectively enabled and disabled, or power-reduced thereto, by one or more controllable devices controlled by the client device. Power control messages from a controlling server indicate amounts of electric power to be reduced and an identification of at least one controllable device to be instructed to disable or reduce a flow of electric power to one or more associated power consuming devices.


