IP Grid Load Control With Settlement-Grade Power Verification
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Solution Overview
Problem
Existing power load management systems lack real-time measurement, verification, and settlement capabilities, leading to inefficiencies and inaccuracies in load shedding, especially for renewable energy integration and grid stability, and fail to track power savings effectively for both customers and utilities.
Innovation Solution
An IP-based system for actively managing power load on the grid, using IP-based messages to control power-consuming and supplying devices, providing real-time data transformation into settlement-grade information, and enabling accurate tracking of power savings and operating reserves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional one-way RF communication systems are used for demand response, then load control can be implemented, but real-time measurement and verification of power savings cannot be achieved
Solution Approach 1:
The patent implements a feedback mechanism where smart meters continuously measure power consumption and communicate this data back to the utility system. This enables real-time verification of load reduction effectiveness and accurate measurement of power savings, resolving the measurement precision issue while maintaining manageable system complexity through standardized communication protocols.
Solution Approach 2:
The patent replaces traditional one-way RF communication with IP-based digital communication systems. This substitution enables bidirectional data exchange, real-time measurement capabilities, and automated verification processes, significantly improving measurement precision while the standardization of IP protocols keeps device complexity manageable.
2Measurement precision
If statistical estimations are used to measure demand response effectiveness, then system complexity is reduced, but measurement accuracy deteriorates
Solution Approach 1:
The system implements real-time feedback loops where smart meters continuously monitor and report actual power consumption data. This eliminates the need for statistical estimations by providing direct, accurate measurements of load reduction effectiveness, achieving high measurement precision while the automated nature of the feedback system keeps operational complexity manageable.
Solution Approach 2:
The measurement system operates autonomously with smart meters self-measuring power consumption and automatically reporting data to the utility system. This self-service capability eliminates the need for complex manual measurement procedures or statistical estimation algorithms, achieving accurate effectiveness measurement while minimizing system complexity.
3Reliability
If historical information is transmitted via smart meters for after-the-fact evidence, then compliance verification is possible, but real-time control and settlement capabilities are lacking
Solution Approach 1:
The patent implements continuous real-time data transmission and processing throughout the demand response system. Smart meters continuously measure and report power consumption, enabling both real-time control actions and immediate compliance verification. This continuous operation eliminates time delays, allowing simultaneous achievement of real-time responsiveness and reliable compliance verification.
Solution Approach 2:
The system performs preliminary measurements and data collection continuously before demand response events occur. This ensures that when control actions are implemented, real-time data is already available for immediate verification and settlement, eliminating post-event delays and enabling both real-time control and reliable compliance verification simultaneously.
4Productivity
If blanket commands are sent to turn off devices during peak hours, then load reduction is achieved, but secondary peaks occur and consumer incentives are required
Solution Approach 1:
The patent implements individualized control strategies for different devices and locations based on real-time measurements and device-specific characteristics. Rather than uniform blanket commands, the system tailors load reduction actions to local conditions, preventing synchronized device restarts that cause secondary peaks while maintaining effective load reduction through customized control approaches.
Solution Approach 2:
The system dynamically adjusts control strategies based on real-time grid conditions and device status information. Control parameters are continuously optimized to achieve load reduction while avoiding secondary peaks, eliminating the need for fixed blanket commands and consumer incentives by providing adaptive, real-time optimization of load management.
Data Source
AI summary
Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information relating to activities by the power consuming devices and/or the power supplying devices; and wherein the information is transformed by the system into settlement grade data corresponding to the activities of the power consuming devices and/or the power supplying devices.