Non-real-time simulation and stable control device combined simulation system, method and equipment

CN117471938BActive Publication Date: 2026-05-26ELECTRIC POWER RES INST CHINA SOUTHERN POWER GRID CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ELECTRIC POWER RES INST CHINA SOUTHERN POWER GRID CO LTD
Filing Date
2023-11-08
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing power system simulation models do not include stability control system modeling, resulting in slow simulation speed and large deviations in simulation results.

Method used

A joint simulation system for non-real-time simulation and stability control devices is adopted. Through hybrid simulation of electromechanical transients and electromagnetic transients, combined with the sampling and execution layer and the main control layer, the hardware simulation of the stability control device of the power system is realized, including the collaborative work of the simulation layer, the sampling and execution layer and the main control layer.

Benefits of technology

It improves the accuracy of power system simulation results, accurately reflects the response and timing of actions after a power system fault, and solves the problems of slow simulation speed and large result deviation.

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Abstract

This application relates to a co-simulation system, method, and device for non-real-time simulation and stability control devices. The system includes a ring-connected simulation layer, sampling and execution layer, and main control layer. This co-simulation system simulates AC and DC power grids of a power system using electromechanical and electromagnetic transient models in the simulation layer, maintaining the integrity of the power system. In the sampling and execution layer and the main control layer, stability control devices that are difficult to simulate in the power system are introduced in hardware, achieving co-simulation of electromechanical transients, electromagnetic transients, and stability control devices. This can more accurately reflect a series of responses and action sequences after a power system fault, thereby improving the accuracy of power grid safety and stability calculations. It solves the technical problem that existing power system simulation models do not include stability control system modeling, resulting in slow simulation speed and large deviations in simulation results for power system models with stability control.
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