T/CES 250-2023 Active Group standards

T/CES 250-2023 Guidance for evaluating the regulation potential of electric vehicle adjustable load control technology

T/CES 250-2023 Guidance for evaluating the regulation potential of electric vehicle adjustable load control technology

Publish Date: 2023-12-27 Implement Date: 2023-12-28 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/CES 250-2023
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Energy, nuclear technology
ICS Name: Tram
Publish Date: 2023-12-27
Implement Date: 2023-12-28

Scope

Scope: This standard specifies the general requirements for assessing the adjustable load control potential of electric vehicles. This standard applies to electric vehicle load aggregators and charging and swapping service operators when they participate in grid control and evaluate the load resource control potential; Main technical content: This standard stipulates the relevant requirements for assessing the adjustable load control potential of electric vehicles, including general requirements, data collection, feasible domain evaluation, key parameter prediction, and control potential aggregation. (1) Terms and definitions mainly include the definitions of charging stations, adjustable loads of electric vehicles, adjustable time, feasible domains of electric vehicles, and electric vehicle load aggregators. (2) General requirements regulate the sources of electric vehicle control potential, the application scenarios of evaluation results, the subjects participating in control potential evaluation, and the evaluation process of control potential. (3) Data collection specifies the basic requirements for data collection, data validation, data storage, and data content. (4) Feasible domain evaluation standardizes the data required for feasible domain evaluation, the form of obtained results, and the factors to be considered in the evaluation. (5) Key parameter prediction specifies the predicted parameters, prediction methods, and evaluation of prediction results. (6) Control potential aggregation regulates the addition of control potential, the form of control potential evaluation results, and the application scenarios it should meet.

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