Temperature-Control Load Clustering for Precise Grid Demand Response
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Solution Overview
Problem
Current methods for calculating the dispatchable capacity of temperature control loads are limited by their inability to consider dynamic changes in temperature settings, leading to low response precision and inefficiencies in power grid adjustments.
Innovation Solution
A user side load response method that involves receiving dispatching commands, calculating actual dispatchable capacity, obtaining controlled temperature settings, and dividing temperature control load groups into clusters to adjust and control temperature changes, using thermodynamic modeling and mapping quantities to optimize temperature control load clusters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If direct load control (DLC) is used with a definite temperature setting value, then the control method is simple, but the response precision is low because it does not consider dynamic changes of the temperature setting value
Solution Approach 1:
The patent transforms the static temperature setting value into a dynamic one by introducing time-varying temperature settings that adapt to grid load conditions. The temperature setting value changes over time according to the power grid's load characteristics, allowing the system to respond dynamically to changing conditions while maintaining control simplicity through automated adjustment rules.
Solution Approach 2:
The patent changes the temperature parameter from a fixed definite value to a variable parameter that adjusts according to grid needs. By modifying the temperature setting value dynamically based on power grid load conditions, the system achieves higher response precision while the underlying control mechanism remains relatively simple through parameter adaptation rather than complex control logic.
2Device complexity
If load group control with uniformly distributed time is used, then the control implementation is simplified, but the uncertainty of total number of loads and parameters brings difficulty on precise calculation
Solution Approach 1:
The patent introduces a load aggregator as an intermediary entity between individual temperature control loads and the power grid control system. The aggregator collects information from multiple loads, performs centralized calculations considering the uncertain number of loads and their parameters, and issues coordinated control commands. This intermediary structure simplifies individual device complexity while enabling precise aggregate-level calculations through centralized processing.
3Productivity
If the electricity generation side adjustment is developed to be mature, then the power grid adjustment mechanism is established, but trade monopoly is formed and the economy of the power grid is seriously influenced
Solution Approach 1:
The patent segments the power grid adjustment function into two parts: the electricity generation side maintains its mature adjustment capabilities, while the user side (temperature control loads) is activated as a separate, independent adjustment resource. This segmentation breaks the monopoly by creating a dual-sided adjustment mechanism where user-side loads can independently respond to grid needs, introducing competition and improving market economy while preserving generation-side productivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the response precision of temperature control loads by objectively calculating adjustable capacity and implementing a load cluster control strategy, enhancing the power grid's adjustment capabilities.
Implementation Method 1
the temperature control loads refer to load devices which can convert electric energy into heat energy in a certain proportion and store the heat energy through one or more energy storage media
Implementation Method 2
a thermodynamic model of the temperature control load is established to describe the temperature change of the energy storage medium in the temperature control load
Data Source
AI summary
Provided is a user side load response method based on adjustment and control on temperature of load clusters. The user side load response method includes: performing thermodynamic modeling on a temperature control load to obtain a temperature control model in direct load control; constructing a mapping quantity to describe the change state of a temperature control load relay switch; obtaining adjustable capacity of the temperature control load through the mapping quantity; introducing temperature control load clusters to solve the problem that control precision cannot satisfy condition requirements; and finally calculating the influence of each load cluster in different load cluster control schemes on comfort degree.