This article presents a new ultrafast DC Solid State Circuit Breaker (SSCB) that uses a Silicon Carbide (SiC) cascode as the main switching and limiting semiconductor and an isolated photovoltaic driver to control it. The proposed topology is self-powered and fully implemented with discrete parts.

This article deals with the design of an electronic fuse for 380 V dc distribution systems. It has been devised for applications that require current limitation up to 3 A, so approximately 1.2 kW. To protect the main semiconductor against excessive energy dissipation, the tripping time, defined as the time that circuit operates in current-limitation mode, varies with the current fault magnitude, and eventually for very hard fault conditions, i.e., short-circuit, the circuit acts as a circuit-breaker avoiding current-limitation operation. Furthermore, thermal foldback characteristic, defined as the variation of current limitation setpoint with temperature, and tripping time variation with temperature are also considered. Mathematical analysis, circuit design, simulations, and experimental validation have been carried out using a SiC MOSFET as power semiconductor. Experimental results working under different conditions show an excellent performance.

This article describes the design and implementation of a dc–dc converter used to power a microsatellite on-board electrolyzer. The proposed topology is a four-phase interleaved synchronous buck converter with output current control. The proposed converter is single point failure free (SPFF), so in case of any individual component failure, the functionality of the system is not compromised. SPFF operation is achieved using individual protections in each buck phase, redundant output current control, and redundant clock systems. Besides, analog majority voter circuits are used to select the correct control signal after any failure and to isolate it. Detailed mathematical analysis and circuit design are presented. Furthermore, a 40-W prototype has been implemented to validate the concept. Experimental results presented show the correct performance of the system in every case and its fault tolerant capability. In addition, the ac behavior and stability of the system have been studied and verified under the full range of possible operating conditions. Finally, efficiency measurements are presented.

• A Solar Panel curve tracer based on a Raspberry Pi has been developed. • The system uses the capacitive charging method. • An Analog Discovery 2 is used for the data acquisition. • The device has a graphical user interface programmed in python. • Possible failures of a photovoltaic installation can be detected with this device.

This paper presents the design of a digital twin for a 6U CubeSat electrical power system, including the solar arrays, solar array regulators, battery, power distribution unit, and load subsystems. The digital twin is validated by comparing its real-time outputs with those of the physical system. Experimental tests confirm its feasibility, showing that the digital twin’s real-time outputs closely match those of the physical system. Additionally, the digital twin can be used for control-hardware-in-the-loop and power-hardware-in-the-loop tests, allowing the real-time integration of simulated subsystems with hardware. This capability facilitates testing of new subsystems and optimization during the project’s development phases. Additionally, to demonstrate the advanced capabilities of this model, the digital twin is used to simulate the CubeSat electrical power system behavior in real time throughout a complete orbital cycle in low Earth orbit conditions. This simulation provides valuable insights into the CubeSat operation by capturing the transient and steady-state responses of the EPS components under real orbital conditions. The results obtained indicate that the digital twin significantly enhances the testing and optimization process of new subsystems during the development phases of the project. Moreover, the capabilities of the digital twin can be further augmented by incorporating real-time telemetry data from the CubeSat, resulting in a highly accurate replication of the satellite’s in-orbit behavior. This approach is crucial for identifying and diagnosing failures or malfunctions in the electrical power system, ensuring the robust and reliable operation of the CubeSat.