Challenges Addressed
DSIM for Control and Protection
● Exceptional Simulation Speed
DSIM employs the Discrete State Event-Driven (DSED) simulation method, enabling precise modeling and simulation of multi-level SST systems (module/cascade/system) for control and protection. It accurately captures IGBT/SiC MOSFET switching transients, simulates converter dynamics and high-frequency switching characteristics, and validates grid stability and protection mechanisms at the system level. While maintaining high simulation accuracy, DSIM significantly accelerates simulation speeds (10 to 100 times faster). This makes it feasible to thoroughly design, optimize, and validate comprehensive SST control strategies and rapid protection schemes within development cycles, compressing traditionally weeks-long simulation tasks into days.
● API-Based Batch Testing
DSIM Solutions for Control and Protection
DSIM's deeply integrated MATLAB API framework allows users to programmatically control simulations via m-language scripts, enabling automated batch validation of SST control and protection. Leveraging DSIM's native speed advantages, this feature supports parameter modifications, parallel computing, and result retrieval, facilitating the following custom functions:
1. Multi-mode control strategy validation: Testing and verifying combinations of control algorithm parameters.
2. Protection mechanism and reliability limit testing: Covering multiple fault scenarios in batches to validate protection boundaries.
3. AI-driven parameter self-optimization: Using intelligent search methods (e.g., genetic algorithms) to provide an AI-powered optimization and validation platform for SST control and protection.
● C Block and Dynamic Link Library (DLL) Interface
DSIM provides C Block modules and a DLL interface, allowing seamless integration of custom control algorithms. Users can incorporate proprietary control logic into the simulation environment to validate dynamic performance and test protection mechanism reliability. Once fully verified, the algorithms require only minor I/O configuration adjustments for the target hardware, enabling one-click migration to physical controllers. This ensures a smooth transition from virtual simulation to physical hardware, closing the loop on algorithm development and validation while significantly shortening development cycles.
Resources
● Case
● Paper
● Tutorial
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2025-12-26 Tutorial - How to Start with DSIM API.pdf
끂9 1.25 MB
● AC Sweep Frequency Analysis
For large, complex systems where theoretical stability analysis is impractical, DSIM offers the dedicated ACSweep tool. Leveraging DSIM's high-speed simulation capability, it automates rapid frequency sweeps to quantify stability boundaries under various operating conditions, enabling efficient system stability analysis.
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Paper Sharing: Individual Module Power Transmission Control for Extreme Fast Charging Stations Configured With Solid-state Transformer
Generally, “additional power conversion stages consisting of DC-DC converters should be connected to DC-bus in SST-based XFC stations in order to charge multiple electric vehicles (EVs) simultaneously”, but incur construction cost and power loss. “This paper proposed the individual module power transmission (IMPT) in SST-based XFC stations to solve the problem.” And the simulation results using DSIM verify the validity of the proposed IMPT.
넶266 2023-10-23 -
Paper Sharing: High Voltage Side DC-Bus Capacitor Voltage Balancing Control of a 350 kW Multiport EV Charging System
Solid-state transformer (SST) is promising for high-power EV charging due to its small footprint . It uses a shared DC bus to connect to EVs via DC/DC converters. However, this approach increases system costs and reduces efficiency due to multiple converter units in series connection.To overcome these challenges, this paper proposes a matrix switch-based solution. Outputs from cell converters are connected to a matrix switch, enabling three separate fast-charging ports
넶284 2023-10-23
1. 50kVA solid state transformer
In this case, a low-voltage ride-through simulation is performed on a 50kVA three-stage solid-state transformer (SST). The switching devices use the ideal switching model and the transient switching model respectively. When the switching device uses the transient switching model, the 5-second simulation using DSIM takes no more than 50 seconds. DSIM can increase the simulation speed by more than 700 times on the premise of ensuring the simulation accuracy.
2. 10kV four-port solid-state transformer
In this case, a MW-class, four-port solid-state transformer (SST) with 578 switches is simulated. A 0.2-second simulation using DSIM takes approximately 20 seconds. Compared with other commercial power electronics simulation software, DSIM offers a speed increase of about 1000 times.