Grid Fault Simulation for Renewable-Storage Support Testing
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Solution Overview
Problem
Existing physical dynamic simulation testing platforms struggle to simulate large-scale AC power systems and accurately model the evolution of grid faults, limiting the ability to test the support capacity of energy storage for integrating new energy sources into the power grid.
Innovation Solution
A method and system utilizing a multi-agent system (MAS) operation platform, power hardware-in-the-loop testing platform, and cloud-edge collaborative data management platform to simulate fault information, determine fault types and levels, and implement fault handling strategies, ensuring accurate simulation and real-world verification of energy storage systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical dynamic simulation testing platforms are used to test energy storage support capability, then testing accuracy for dynamic characteristics is improved, but the ability to simulate large-scale AC power systems and fault evolution is reduced
Solution Approach 1:
The patent introduces a power hardware-in-the-loop testing platform as an intermediary system that bridges physical dynamic simulation and large-scale AC power system simulation. This platform enables accurate simulation of fault evolution and grid responses while maintaining testing precision through real-time interaction between physical devices and digital simulation models.
Solution Approach 2:
The testing platform is designed with multi-functional capabilities to simultaneously perform dynamic characteristic testing, large-scale AC power system simulation, and fault evolution modeling. By integrating multiple simulation modes and testing functions into a single unified platform, the system resolves the contradiction between specialized precision and general versatility.
2Reliability
If physical dynamic simulation testing platforms are used, then dynamic characteristic simulation is improved, but flexibility in constructing large-scale AC power systems is reduced
Solution Approach 1:
The patent implements a dynamic testing platform configuration that allows real-time adjustment of system parameters, topology, and operating conditions. The platform can dynamically switch between different simulation modes and scaling factors, enabling flexible construction of large-scale AC power systems while maintaining reliable dynamic characteristic simulation through adaptive control algorithms.
Solution Approach 2:
The system employs parameter scaling and transformation techniques to bridge the gap between physical device characteristics and large-scale grid behavior. By dynamically adjusting simulation parameters, scaling factors, and operating points, the platform maintains simulation reliability across different system configurations and scales.
3Ease of operation
If traditional testing methods are used, then testing simplicity is maintained, but the ability to accurately simulate grid fault evolution is reduced
Solution Approach 1:
The patent incorporates pre-configured fault scenarios, templates, and automated test sequence generation to simplify the complex process of fault evolution simulation. By preparing simulation models, fault conditions, and expected responses in advance, the system maintains ease of operation while achieving accurate fault simulation through pre-validated digital twins and historical data integration.
Data Source
AI summary
A method and a system to enhance the grid-supporting capability of energy storage integrated with renewable energy are provided. The method includes: determining and adjusting simulation parameters for various models based on a target testing project; simulating fault information and configuring the working state of physical terminals accordingly; identifying fault types and levels from operational parameters; determining fault handling strategies based on the faults; controlling physical terminals using the strategies and receiving feedback on handling results. This method ensures efficient and flexible testing for large-scale energy storage and renewable energy integration into the grid.