Off-grid photovoltaic power generation energy storage system and energy dispatching method thereof
A photovoltaic power generation and energy storage system technology, applied in photovoltaic power generation, photovoltaic power stations, photovoltaic modules, etc., can solve problems such as low energy utilization efficiency, poor control accuracy, and uncertain photovoltaic resources
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0081] refer to figure 1 , an off-grid photovoltaic power generation energy storage system, including a photovoltaic power generation module 1, a photovoltaic controller, a rectifier, an inverter module, a rechargeable battery module, a battery management system, a central controller, a display, and a charging and discharging system for controlling the rechargeable battery module state of the DC converter, the photovoltaic power generation module 1 is connected to the AC load through the photovoltaic controller and the inverter module in turn, and the connection end between the photovoltaic controller and the inverter module is connected to the rechargeable battery module through the DC converter. The rectifier is connected to the power grid, the inverter module is also directly connected to the power grid, the battery management system is connected to the rechargeable battery module, and the central controller is connected to the photovoltaic controller, rectifier, inverter mo...
Embodiment 2
[0091] refer to image 3 As shown, the energy dispatching method of an off-grid photovoltaic power generation energy storage system in Embodiment 1 includes:
[0092] 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.
[0093] S2. Acquire and acquire the time value, light intensity and temperature value at the start time of scheduling, and then obtain the predicted photovoltaic power every hour in the next 24 hours according to the neural network model of photovoltaic power generation output prediction and the neural ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com