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The green hydrogen microgrid system consists of photovoltaic distributed power supply, lithium battery storage system, hydrogen fuel cell, electrolysis tank, hydrogen storage tank and loads, creating a light hydrogen storage microgrid energy supply system in the park, and constructing a green, low-carbon and environmentally friendly application scenario for the park in the new era. The electrolysis tank generates hydrogen to be stored in the hydrogen storage tank; the loads include fixed loads, dynamic loads and charging piles.
The green hydrogen microgrid real-time simulation system is realised using a real-time simulator and a controller, in which the green hydrogen microgrid grid framework, mathematical model, and underlying control are loaded into the real-time simulator, the upper energy scheduling is loaded into the controller, and the data interaction between the devices is carried out through Modbus TCP communication in order to simulate and emulate a real microgrid system, which is shown in the right figure.
Support CPU multi-core parallel simulation, single core CPU can support green hydrogen microgrid averaging model to run at 30us simulation step.
Support CPU multi-core parallel simulation, single core CPU can support green hydrogen microgrid averaging model to run at 30us simulation step.
Support up to 8 sfp fibre-optic signal modules, can easily achieve physical IO expansion or multi-device parallel simulation, to meet the requirements of HVC large system testing.
Provide professional automation test Python API, convenient for industrial users to develop automation test project; support “HIL Scope” high-speed recording function, can achieve 500k sampling rate for multi-channel waveform observation.
Support high speed and wide voltage range (-25V, 25V) digital input, adapted to industrial inverter controller interface; support MODBUS TCP, MODBUS RTU, CAN, serial port and other professional power communication protocols, convenient to achieve information interaction with the controller.
In microgrids when the operating state of the units in the system changes, it is observed whether the operating mode switching of the microgrid is accurate and whether the units are fast tracking the given power command.
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