IP Library Granted Patent US 12683402
Granted Patent B1
US 12683402 · App. 19/091,287 · Granted Jul 14, 2026

Apparatus for detecting grid-connected optimization of distributed photovoltaic power stations

Inventors: Jian Zhao (Zhengzhou, CN); Kai Tao (Zhengzhou, CN); Xiaosi Yu (Zhengzhou, CN); Youdao Wang (Zhengzhou, CN); Feng Guo (Zhengzhou, CN); Yuanping Luo (Zhengzhou, CN); Jinlong Zhang (Zhengzhou, CN); Pengju Lu (Zhengzhou, CN); Qiao Shi (Zhengzhou, CN); Yanlu Guo (Zhengzhou, CN); Xianglei Liu (Zhengzhou, CN)
Assignees: China Railway Seventh Bureau Group Electrical Engineering Co., Ltd.; China Railway Seventh Bureau Group Co., Ltd.
H02J3/32G08B21/185H02G3/08H02J3/0014H02J3/38H02J2101/24
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Quick Facts
Patent No.
US 12683402
App. No.
19/091,287
Filed
Mar 26, 2025
Granted
Jul 14, 2026
Kind
B1
Art Unit
2836
USPC
307/23
Abstract

The present invention relates to the field of a photovoltaic power station technology, and discloses an apparatus for detecting grid-connected optimization of distributed photovoltaic power stations, including a protective box, where an outer wall of the protective box is rotatably connected to a protective plate. A system for detecting grid-connected optimization of distributed photovoltaic power stations is further provided, including: a data collection module, configured to collect parameters of all devices of the photovoltaic power station and a surrounding environment parameter in real time. A technical solution for grid-connected optimization control that integrates a particle swarm optimization algorithm with an energy storage management strategy is used, to implement optimal power matching between the photovoltaic power station and a power grid, as well as efficient scheduling of an energy storage device.

Claims (33)

1 . An apparatus for detecting grid-connected optimization of distributed photovoltaic power stations, comprising a protective box ( 5 ), wherein an outer wall of the protective box ( 5 ) is rotatably connected to a protective plate ( 1 ), and an outer wall of the protective plate ( 1 ) is installed with a display ( 3 ), the display ( 3 ) is in telecommunication connection with a control terminal ( 6 ), a lower surface of the control terminal ( 6 ) is installed on an upper surface of the protective box ( 5 ), an inside of the protective box ( 5 ) is firmly connected to a signal pole ( 2 ), one end of the signal pole ( 2 ) is firmly connected to a wireless communication device ( 7 ), an outer wall of the wireless communication device ( 7 ) is firmly connected to the inside of the protective box ( 5 ), the control terminal ( 6 ) is in telecommunication connection with the wireless communication device ( 7 ), the inside of the protective box ( 5 ) is firmly connected to an alarm light ( 4 ), one end of the alarm light ( 4 ) is firmly connected to an intelligent fault detection device ( 8 ), the intelligent fault detection device ( 8 ) is in telecommunication connection with the control terminal ( 6 ), and an outer wall of the intelligent fault detection device ( 8 ) is firmly connected to the inside of the protective box ( 5 ).

2 . A system for detecting grid-connected optimization of distributed photovoltaic power stations, which is based on the apparatus for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 1 , wherein the system comprises:

a data collection module, configured to collect parameters of all devices of the photovoltaic power station and a surrounding environment parameter in real time;

a central monitoring platform, configured to receive and store real-time data transmitted for data processing and analysis;

a data transmission module, configured to transmit a collected parameter to the central monitoring platform through a wireless communication protocol;

an intelligent fault detection module, configured to determine, based on collected parameter data, whether there is a fault in a device of the photovoltaic power station and generate a fault report if any;

a grid-connected optimization control module, configured to perform energy scheduling optimization based on a generated power of the photovoltaic power station, a load demand, and a state of an energy storage device;

an energy flow optimization module, configured to automatically adjust a charging and discharging strategy of the energy storage device based on a real-time load demand and a lighting condition; and

an operation and maintenance management module, configured to provide real-time fault alarming, maintenance task allocation, and data archiving.

3 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 2 , wherein the data collection module comprises:

a photovoltaic module monitoring subunit, configured to monitor an operation parameter of a photovoltaic panel;

an environmental monitoring subunit, configured to monitor meteorological data of a surrounding environment; and

an energy storage system monitoring subunit, configured to monitor data of an energy storage system.

4 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 2 , wherein the central monitoring platform comprises:

a data storage unit, configured to store data collected in real time and provide long-term archiving and backup of the data; and

a real-time monitoring unit, configured to display and monitor a working state and environmental changes of each device in real time.

5 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 2 , wherein the data transmission module comprises:

a wireless communication subunit, configured to transmit data through a wireless protocol; and

a data transmission interface subunit, configured to transmit sensor data from the data collection unit to the central monitoring platform.

6 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 2 , wherein the intelligent fault detection module comprises:

a fault detection subunit, configured to determine, based on the collected data, whether a device is beyond a preset normal working range, and trigger an alarm; and

a fault localization subunit, configured to locate a fault source of the device and generate a corresponding fault repair report.

7 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 2 , wherein the grid-connected optimization control module comprises:

a grid-connected optimization algorithm subunit, configured to optimize scheduling based on factors such as a generated power of photovoltaic power generation, an energy storage state, and a power grid load, to reduce grid-connected fluctuations; and

a control strategy subunit, configured to implement power distribution, energy storage management, and a power grid regulation strategy during grid connection.

8 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 2 , wherein the energy flow optimization module comprises:

an energy scheduling subunit, configured to adjust a photovoltaic power generation output based on light intensity prediction and a load demand, and optimize power supply efficiency of a power grid; and

an energy storage device optimization control subunit, configured to adjust the charging and discharging strategy of the energy storage device in real time, to ensure the stability and sustainability of power supply in the power grid.

9 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 2 , wherein the operation and maintenance management module comprises:

a device monitoring subunit, configured to monitor working states of all devices in real time, to ensure normal operation of the devices;

a fault reporting and recording subunit, configured to record details of a fault event and track a handling process; and

a report generation subunit, configured to generate reports related to system operation, a device fault, a maintenance record, and the like, for future reference and analysis.

10 . The system for detecting grid-connected optimization of distributed photovoltaic power stations according to claim 7 , wherein the grid-connected optimization algorithm subunit optimizes energy scheduling based on the generated power of the photovoltaic power station, the load demand, the state of the energy storage device, and the power grid load by using a particle swarm optimization algorithm, to maximize overall energy efficiency of the system and minimize power grid load fluctuations during grid connection.