Photovoltaic generating energy storage system and energy scheduling method thereof
A photovoltaic power generation and energy storage system technology, applied in photovoltaic power generation, current collectors, electric vehicles, etc., can solve problems such as low energy utilization efficiency, uncertain photovoltaic resources, and poor control accuracy
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Embodiment 1
[0065] refer to figure 1 , a photovoltaic power generation energy storage system, including a photovoltaic power generation module 1, a photovoltaic controller, a bidirectional inverter, a rechargeable battery module, a switching device 2, a battery management system, a central controller, a display, and a charging device for controlling the rechargeable battery module The DC converter in the discharge state, the photovoltaic power generation module 1 is connected to the AC load through the photovoltaic controller and the bidirectional inverter in turn, and the AC load is also connected to the power grid, and the connection between the photovoltaic controller and the bidirectional inverter is converted by DC The inverter is connected with the rechargeable battery module, the battery management system is connected with the rechargeable battery module, the central controller is respectively connected with the photovoltaic controller, bidirectional inverter, battery management sys...
Embodiment 2
[0072] refer to figure 2 As shown, the energy scheduling method of a photovoltaic power generation energy storage system in Embodiment 1 includes:
[0073] S1. The central controller trains the neural network for photovoltaic power generation output prediction according to the collected historical operating data of photovoltaic power generation module 1, and establishes the relationship between photovoltaic power generation output power and time value, light intensity and temperature value. The historical power consumption data is used to train the neural network for load consumption prediction, and establish the relationship between load consumption power and time. The historical operation data includes the real-time time value, light value, temperature value and photovoltaic power generation collected in the past period of time.
[0074] S2. Acquire and acquire the time value, light intensity and temperature value at the start time of scheduling, and then obtain the predic...
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