
Abstract: In order to optimise the coordinated control of micro-grid complex energy storage including photovoltaic and wind power, improve the absorption ability of distributed energy generation and reduce the cost, this paper proposes a Double Deep Q-Network reinforcement learning algorithm to train agents to interact with the microgrid environment and learn the optimal scheduling control mechanism. [pdf]

Aiming at the voltage and current measurement for battery banks in mobile communication base station, according to voltage characteristics of wide common-mode range, three methods including sampling with resistors, converting with analog optical coupler and differential subtractor based on amplifier are presented.For bi-directional current characteristic, both single and double amplifier methods are discussed respectively.Also, all the methods mentioned above are analyzed. [pdf]

Base station energy cabinet: a highly integrated and intelligent hybrid power system that combines multi-input power modules (photovoltaic, wind energy, rectifier modules), monitoring units, power distribution units, lithium batteries, smart switches, FSU and ODF wiring, etc., to effectively solve Various functional requirements such as power supply, backup power supply, and optical network access of base station communication equipment. [pdf]
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