
The invention relates to a wind and solar hybrid generation system for a communication base station based on dual direct-current bus control, comprising photovoltaic arrays, a wind-power generator, storage battery sets, unloading devices, an intelligent controller, a charging side direct-current bus, a discharging side direct-current bus, a storage battery set switching circuit, a photovoltaic array switching circuit, an unloading device switching circuit, an overload protecting circuit, a load distributing circuit, an AC / DC converter and a DC / AC inverter. [pdf]

Design, build, finance, operation and maintenance of a [72-85] MW solar photovoltaic plant (“Solar PV Plant”), a [36-42.5] MW/1 hour battery energy storage system (“BESS”), a substation (“Substation”) (together, the “Facility”), Balance of Plant, integrated communications and control systems and Transmission Infrastructure in the area around Manatuto (the “Project”). [pdf]

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]
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