DL/T 2913-2025 in English

Standard Development Background and Technological Evolution

DL/T 2913-2025, "Model Parameter Testing Procedure for Electrochemical Energy Storage Systems," is the first technical standard in the power industry specifically addressing model parameter testing for electrochemical energy storage systems. It fills a gap in my country's energy storage system simulation, modeling, and testing. With the rapid growth of electrochemical energy storage installed capacity, accurate system models are crucial for the safe and stable operation of the power grid. Building on foundational standards such as GB/T 36547-2024, "Technical Specifications for Grid Connection of Electrochemical Energy Storage Systems," this standard further refines the technical requirements for model parameter testing.

Standard Scope and Core Requirements

This procedure applies to electrochemical energy storage systems using electrochemical cells as energy storage media and with grid-connected voltage levels of 35 kV and below. Other energy storage systems of other types and voltage levels may refer to it for reference. The standard specifies parameter testing requirements for three categories of models: electromagnetic transient simulation models, electromechanical transient simulation models, and medium- and long-term dynamic simulation models.

Test Equipment Technical Requirements

The standard sets strict technical requirements for test equipment to ensure the accuracy and reliability of test data. Key test equipment includes measuring instruments, battery simulators, grid simulators, and hybrid analog-digital simulation platforms.

Key Technologies for Electromagnetic Transient Model Parameter Testing

Electromagnetic transient model parameter testing covers two core components: the energy storage battery model and the energy storage converter model. The energy storage battery model test includes available energy testing, open-circuit voltage testing, and voltage response testing, providing basic data for battery dynamic characteristic modeling.

The energy storage converter model parameter test is classified according to the access voltage level: A1 and A2 converters need to test all functions such as active power control, reactive voltage control, primary frequency regulation control, inertia response control, low voltage ride-through control and high voltage ride-through control; B1, B2, and B3 converters are tested differently according to their application scenarios.

Fault Ride-Through Control Test Requirements

The standard sets out detailed technical requirements for fault ride-through control testing, including low voltage ride-through and high voltage ride-through tests. The low voltage ride-through test must include at least 0% UN and 20% UN voltage drop points, distributed across three ranges: 30% UN to 50% UN, 50% UN to 70% UN, and 70% UN to 90% UN.

Model Verification and Deviation Requirements

The standard establishes a rigorous model verification system, setting deviation requirements for both the power and frequency control model and the fault ride-through control model. Verification of power response characteristics requires a mean absolute deviation of XMAE1≤0.10 during the regulation period and a mean absolute deviation of XMAE2≤0.05 during steady-state operation.

Fault ride-through control model verification utilizes a partitioned evaluation method, dividing the test process into three periods: pre-fault, during-fault, and post-fault. The mean deviation for the steady-state interval, the mean deviation for the transient interval, and the weighted mean deviation are calculated to ensure model accuracy throughout the entire fault process.

Implementation Recommendations and Technical Outlook

During the implementation of the standard, it is recommended to focus on the following aspects: First, establish a complete traceability system for test equipment to ensure the accuracy of measurement data; second, develop differentiated test plans for different types of electrochemical energy storage technologies; third, strengthen professional training for testers to improve the standardization of testing work.

With the continuous development of energy storage technology, future standards may need to further cover the testing requirements of new energy storage technologies, while considering the application of emerging technologies such as digital twins in model testing, and promote the development of testing technology towards intelligence and automation.