New energy smart station integrated cooperative control system

Abstract

The invention relates to the technical field of new energy control, in particular to a new energy smart station integrated cooperative control system, which comprises a new energy management framework, and the new energy management framework comprises a platform server which comprises a data processing module, a storage module and an application service module and is used for carrying out processing, storage and application service on collected data; and the Internet of Things sensing layer is used for collecting environmental parameters, equipment operation states and power market information data of the new energy station in real time. Through cooperative work of the Internet of Things sensing layer and the network transmission layer, the problem that environment monitoring and equipment operation state monitoring in remote areas are difficult is effectively solved, manual inspection requirements are reduced, the labor cost is reduced, and meanwhile the real-time performance and accuracy of monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy control, and specifically to an integrated collaborative control system for a new energy intelligent power station. Background Technique

[0002] With the transformation of the global energy structure and the increasing awareness of environmental protection, the new energy industry has witnessed booming development. Renewable energy sources such as wind power and solar photovoltaic power have occupied an increasingly important position in energy supply. However, new energy power stations are widely distributed and the environment is complex and changeable, and the traditional production management mode faces many challenges.

[0003] New energy power stations are usually located in remote areas, making it difficult to monitor the environment and the operating status of equipment. Traditional inspection methods require a large amount of manpower and material resources and are difficult to achieve real-time monitoring. Secondly, the equipment fault diagnosis and early warning capabilities of new energy power stations are insufficient, and professional personnel are often required to conduct on-site inspections, which is time-consuming and laborious. In addition, the power market changes rapidly, the participation of new energy power stations in the power market is low, and the power prediction accuracy is not high, making it difficult to effectively respond to market fluctuations. Moreover, the inspection work of new energy power stations has a high labor intensity, low efficiency, and potential safety hazards. Therefore, there is an urgent need to design an integrated collaborative control system for a new energy intelligent power station to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide an integrated collaborative control system for a new energy intelligent power station to solve the problems in the above background technique that traditional inspection methods require a large amount of manpower and material resources and are difficult to achieve real-time monitoring, and the equipment fault diagnosis and early warning capabilities of new energy power stations are insufficient, and professional personnel are often required to conduct on-site inspections, which is time-consuming and laborious.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An integrated collaborative control system for a new energy intelligent power station: including a new energy management framework, and the new energy management framework includes:

[0006] A platform server, including a data processing module, a storage module, and an application service module, for processing, storing, and providing application services for the collected data;

[0007] An Internet of Things perception layer for real-time collection of environmental parameters, equipment operating status, and power market information data of a new energy power station;

[0008] A network transmission layer for transmitting the data collected by the perception layer to the platform server;

[0009] An application layer, including a remote centralized control system, a diagnosis and early warning system, a power market management system, a power prediction system, and an intelligent inspection system, for realizing the comprehensive management of the new energy production process.

[0010] Preferably, the Internet of Things perception layer includes:

[0011] Environmental sensors for collecting environmental parameters such as temperature, humidity, wind speed, wind direction, and light intensity;

[0012] Device sensors for collecting data on the operating status and fault information of devices;

[0013] Power market information collection module for collecting information on power market prices and loads.

[0014] Preferably, the network transmission layer includes:

[0015] Wireless communication network for transmitting the data collected by the perception layer to the platform server;

[0016] Wired communication network for connecting the platform server to the station equipment.

[0017] Preferably, the platform server includes:

[0018] Data processing module for cleaning, transforming, and storing the collected data;

[0019] Storage module for storing the data after data processing;

[0020] Application service module for providing application services such as remote centralized control, diagnostic warning, power market management, power prediction, and intelligent inspection.

[0021] Preferably, the remote centralized control system is used for:

[0022] Real-time monitoring of the environmental parameters and device operating status data of new energy power stations;

[0023] Remote control of the equipment of new energy power stations, including starting / stopping the fan and adjusting the angle of the photovoltaic panel;

[0024] Real-time acquisition of the power generation and power data of new energy power stations.

[0025] Preferably, the diagnostic warning system is used for:

[0026] Deep mining and analysis of the collected data;

[0027] Establishing a fault diagnosis model to achieve fault diagnosis of the equipment of new energy power stations;

[0028] Establishing a warning model to achieve fault warning of the equipment of new energy power stations.

[0029] Preferably, the power market management system is used for:

[0030] Real-time acquisition of information on power market prices and loads;

[0031] Analyze the trend of the power market and predict the electricity trading price of new energy power stations;

[0032] Formulate the electricity trading strategy for new energy power stations.

[0033] Preferably, the power prediction system is used for:

[0034] Based on historical data and artificial intelligence algorithms, realize the prediction of the power output of new energy power stations in the next period of time;

[0035] Provide reference for power dispatching and improve the consumption rate of new energy.

[0036] Preferably, the intelligent inspection system is used for:

[0037] Through intelligent devices such as drones and robots, realize the automatic inspection of the equipment of new energy power stations;

[0038] Transmit the inspection results to the platform server in real time and conduct data analysis;

[0039] Discover equipment failures and potential safety hazards and give alarms in time.

[0040] Preferably, it includes using the Internet of Things perception layer to collect data such as environmental parameters, equipment operation status, and power market information of new energy power stations in real time;

[0041] Transmit the collected data to the platform server for processing, storage, and application;

[0042] Through the application layer, realize the comprehensive management of the new energy production process, including remote centralized control, diagnosis and early warning, power market management, power prediction, and intelligent inspection.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] 1. Through the collaborative work of the Internet of Things perception layer and the network transmission layer, the system effectively solves the problems of difficult environmental monitoring and equipment operation status monitoring in remote areas, reduces the need for manual inspections, lowers the labor cost, and improves the real-time performance and accuracy of monitoring.

[0045] 2. Through the diagnosis and early warning system and the intelligent inspection system, the system significantly improves the fault diagnosis and early warning capabilities, reduces the impact of equipment failures on the operation of the power station, and improves the operation reliability and safety of the power station.

[0046] 3. Through the power market management system and the power prediction system, the system significantly improves the power market participation ability and power prediction accuracy of new energy power stations, helps the power stations better cope with market fluctuations, and improves economic benefits.

[0047] 4. Through the intelligent inspection system and remote centralized control system, this system significantly reduces the labor intensity of the inspection work in new energy power stations, improves the inspection efficiency and safety, and reduces the need for manual inspections and potential safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a front view schematic diagram of the device structure of the present invention;

[0049] Figure 2 It is a platform block diagram of the new energy management framework system of the present invention;

[0050] Figure 3 It is a detailed structure platform block diagram of the Internet of Things perception layer of the present invention;

[0051] Figure 4 It is an application scenario diagram of the new energy intelligent production management platform of the present invention;

[0052] Figure 5 It is a platform block diagram of the remote centralized control system of the present invention.

[0053] In the figure: 1. New energy management framework; 11. Internet of Things perception layer; 12. Network transmission layer; 13. Application layer; 2. Platform server; 21. Data processing module; 22. Storage module; 23. Application service module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0055] Please refer to Figures 1-5 , an embodiment provided by the present invention: A new energy intelligent power station integrated collaborative control system: including a new energy management framework 1, and the new energy management framework 1 includes:

[0056] A platform server 2, including a data processing module 21, a storage module 22, and an application service module 23, for processing, storing, and providing application services for the collected data;

[0057] An Internet of Things perception layer 11, for real-time collection of environmental parameters, equipment operation status, and electricity market information data of new energy power stations;

[0058] A network transmission layer 12, for transmitting the data collected by the perception layer to the platform server 2;

[0059] The application layer 13 includes a remote centralized control system, a diagnosis and early warning system, a power market management system, a power prediction system, and an intelligent inspection system, which are used to achieve comprehensive management of the new energy production process;

[0060] This integrated collaborative control system for new energy intelligent power stations ensures environmental monitoring and equipment operation status monitoring in remote areas through the cooperation between the Internet of Things perception layer 11 and the remote centralized control system, via the platform server 2.

[0061] Furthermore, the Internet of Things perception layer 11 includes:

[0062] Environmental sensors, which are used to collect environmental parameters such as temperature, humidity, wind speed, wind direction, and light intensity. It includes temperature sensors, humidity sensors, wind speed sensors, wind direction sensors, and light intensity sensors. Various deployed sensors can collect environmental parameters such as temperature, humidity, wind speed, wind direction, and light intensity in real time, as well as the operation status and fault information of equipment. These data are transmitted to the platform server 2 through a wireless communication network to achieve remote monitoring without the need for on-site personnel;

[0063] Equipment sensors, which are used to collect data on the operation status and fault information of equipment. These are installed at key parts of the equipment to monitor the operation of the equipment in real time and detect abnormal situations in a timely manner;

[0064] The power market information collection module, which is used to collect information on power market prices and loads and is crucial for formulating power trading strategies for new energy power stations.

[0065] Furthermore, the network transmission layer 12 includes:

[0066] The wireless communication network, which is used to transmit the data collected by the perception layer to the platform server 2. The wireless communication network is an important part of the network transmission layer 12 and is mainly used to transmit the data collected by the perception layer (such as sensors, intelligent devices, etc.) to the platform server 2. The wireless communication network has advantages such as high flexibility and convenient deployment, and is especially suitable for mobile devices or scenarios where wiring is difficult;

[0067] The wired communication network, which is used to connect the platform server 2 with the power station equipment to achieve remote control and data interaction, and is usually used in scenarios with high requirements for stability, bandwidth, and latency. The wired communication network has characteristics such as fast transmission speed, strong anti-interference ability, and high security.

[0068] Furthermore, the platform server 2 includes:

[0069] The data processing module 21, which is used to clean, transform, and store the collected data to ensure the accuracy and availability of the data;

[0070] The storage module 22 is used to store the data after data processing, providing a basis for data analysis and applications.

[0071] The application service module 23 is used to provide application services such as remote centralized control, diagnostic warning, power market management, power prediction, and intelligent inspection, realizing the comprehensive management of the new energy production process.

[0072] Furthermore, the remote centralized control system is used for:

[0073] Real-time monitoring of the environmental parameters and equipment operation status data of the new energy power station;

[0074] Remotely controlling the equipment of the new energy power station, including starting / stopping the fan and adjusting the angle of the photovoltaic panel;

[0075] Real-time obtaining of the power generation and power data of the new energy power station;

[0076] Remote centralized control enables operators to remotely control the equipment of the new energy power station through the remote centralized control system, such as starting / stopping the fan, adjusting the angle of the photovoltaic panel, etc. This remote control function not only improves the operation efficiency but also reduces the risk of manual operation, especially in remote areas or under bad weather conditions; the system can also real-time obtain the power generation and power data of the new energy power station. These data can help the power station management personnel understand the power generation situation of the power station and conduct power dispatching and optimization to improve the consumption rate of new energy. By analyzing the power generation and power data, the operation efficiency of the power station can also be evaluated, and a reference basis can be provided for the maintenance and upgrade of the equipment.

[0077] Furthermore, the diagnostic warning system is used for:

[0078] Deeply mining and analyzing the collected data;

[0079] Establishing a fault diagnosis model to realize the fault diagnosis of the equipment of the new energy power station;

[0080] Establishing a warning model to realize the fault warning of the equipment of the new energy power station;

[0081] Based on the results of deep mining and analysis, the diagnostic warning system will establish a fault diagnosis model. This model can identify the fault type and fault location of the equipment according to the operation data and fault information of the equipment. Through the fault diagnosis model, the system can timely detect equipment faults and take corresponding measures for repair and treatment to avoid greater impacts on the operation of the power station caused by equipment faults.

[0082] The diagnostic and early warning system can establish an early warning model. This model can predict the potential failure risks of equipment based on the operating data and environmental parameters of the equipment, and issue early warnings in a timely manner. Through the early warning model, the system can detect abnormal conditions of the equipment in advance and take preventive measures to avoid the occurrence of equipment failures, thereby improving the operating reliability and safety of the station.

[0083] Furthermore, the electricity market management system is used for:

[0084] Obtaining real-time information on electricity market prices and loads;

[0085] Analyzing the trend of the electricity market and predicting the electricity trading prices of new energy power stations;

[0086] Formulating electricity trading strategies for new energy power stations;

[0087] The system can analyze the power generation capacity and costs of the power station, as well as the demand situation in the electricity market, based on electricity market information and the operating data of the power station, and formulate corresponding electricity trading strategies. The electricity market management system can also assist new energy power stations in risk management. By analyzing the trend of the electricity market and predicting electricity trading prices, the system can identify potential electricity market risks and formulate corresponding risk management strategies to help new energy power stations better participate in electricity market transactions, improve the economic benefits of the power station, and reduce risks.

[0088] Furthermore, the power prediction system is used for:

[0089] Based on historical data and artificial intelligence algorithms, realizing the prediction of the power output of new energy power stations for a period of time in the future;

[0090] Providing a reference for power dispatching and improving the consumption rate of new energy;

[0091] Through the power prediction system, the power station management personnel can understand the power generation situation of the power station in advance for a period of time in the future and formulate power dispatching strategies accordingly. The power prediction system can also help new energy power stations improve the consumption rate of new energy. By predicting the power generation of the power station for a period of time in the future, the power station can communicate with power companies or other energy-consuming enterprises in advance and negotiate electricity trading matters, thereby improving the consumption rate of new energy and promoting the development of the new energy industry.

[0092] Furthermore, the intelligent inspection system is used for:

[0093] Realizing the automated inspection of new energy power station equipment through intelligent devices such as drones and robots;

[0094] Transmitting the inspection results to the platform server 2 in real time and conducting data analysis;

[0095] Detecting equipment failures and potential safety hazards and giving alarms in a timely manner;

[0096] Intelligent devices will collect the operation data, images and video information of the devices in real time, and transmit this data to the platform server 2 through the wireless communication network in real time. The data analysis module on the platform server 2 will process and analyze this data to identify the early signs of equipment failures and potential safety hazards. Through real-time data analysis, the intelligent inspection system can detect equipment failures and safety hazards in a timely manner, and issue alarms in a timely manner to notify the maintenance personnel for handling.

[0097] Furthermore, the Internet of Things perception layer 11 is used to collect data such as environmental parameters, equipment operation status, and electricity market information of the new energy power station in real time;

[0098] The collected data is transmitted to the platform server 2 for processing, storage and application;

[0099] Through the application layer 13, comprehensive management of the new energy production process is realized, including remote centralized control, diagnosis and early warning, electricity market management, power prediction, and intelligent inspection;

[0100] The Internet of Things perception layer 11 will transmit this data to the platform server 2 quickly and reliably through the wireless communication network or the wired communication network. The platform server 2 is the core of the system. It includes a data processing module 21, a storage module 22 and an application service module 23, which are responsible for processing, storing and applying the data. The data processing module 21 cleans, transforms and analyzes the data to extract useful information; the storage module 22 ensures the persistent storage of the data and provides data support for subsequent analysis and application. The application layer 13 is the top layer of the system. It realizes the comprehensive management of the new energy production process by integrating functional modules such as remote centralized control system, diagnosis and early warning system, electricity market management system, power prediction system, and intelligent inspection system.

[0101] Working principle: The integrated collaborative control system of the new energy intelligent power station collects the environmental parameters and equipment operation status data of the new energy power station in real time through the environmental sensors and equipment sensors deployed in the Internet of Things perception layer 11, and uses the wireless communication network of the network transmission layer 12 to transmit the data to the platform server 2, realizing remote real-time monitoring without manual on-site duty; the data processing module 21 of the platform server 2 cleans and transforms the data to ensure the accuracy and availability of the data, the storage module 22 persists the data, and the application service module 23 monitors the environmental parameters and equipment operation status in real time through the remote centralized control system to realize remote control and management. Through the above mechanism, the system effectively solves the problems of difficult environmental monitoring and equipment operation status monitoring in remote areas, reduces the need for manual inspections, reduces labor costs, and improves the real-time and accuracy of monitoring at the same time.

[0102] The integrated collaborative control system for new energy intelligent power stations significantly improves the equipment fault diagnosis and early warning capabilities through the diagnostic warning system and the intelligent inspection system. At the same time, based on the equipment operation data collected by the platform server 2, the diagnostic warning system establishes a fault diagnosis model and an early warning model through in-depth mining and analysis, which can identify the types and locations of equipment faults, predict potential fault risks, and issue early warnings. The intelligent inspection system uses intelligent devices such as drones and robots to automatically collect equipment operation data, images, and video information, and transmits them to the platform server 2 in real time through the wireless communication network. The data analysis module processes and analyzes the data to identify early signs of equipment faults and potential safety hazards. When the system detects a fault or potential hazard, it immediately issues an alarm and notifies the maintenance personnel for handling. Through the above functions, the system reduces the need for manual inspections, improves the efficiency and accuracy of fault handling, significantly enhances the equipment fault diagnosis and early warning capabilities of new energy power stations, reduces the impact of equipment faults on the operation of power stations, and improves the operation reliability and safety of new energy power stations.

[0103] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, in any regard, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to encompass all changes that fall within the meaning and scope of the equivalent elements of the claims in the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. An integrated collaborative control system for a new energy intelligent station, characterized in that: It includes a new energy management framework (1), and the new energy management framework (1) includes: A platform server (2), which includes a data processing module (21), a storage module (22), and an application service module (23), and is used for processing, storing, and providing application services for the collected data; The Internet of Things perception layer (11), which is used for collecting the environmental parameters, equipment operation status, and electricity market information data of new energy power stations in real time; The network transmission layer (12), which is used for transmitting the data collected by the perception layer to the platform server (2); The application layer (13), which includes a remote centralized control system, a diagnosis and early warning system, an electricity market management system, a power prediction system, and an intelligent inspection system, and is used for realizing the comprehensive management of the new energy production process.

2. The integrated collaborative control system for a new energy intelligent station according to claim 1, wherein The Internet of Things perception layer (11) includes: Environmental sensors, which are used for collecting environmental parameters such as temperature, humidity, wind speed, wind direction, and light intensity; Equipment sensors, which are used for collecting data on the operation status and fault information of equipment; An electricity market information collection module, which is used for collecting information on electricity market prices and loads.

3. The integrated collaborative control system for a new energy intelligent station according to claim 1, characterized in that, The network transmission layer (12) includes: A wireless communication network, which is used for transmitting the data collected by the perception layer to the platform server (2); A wired communication network, which is used for connecting the platform server (2) to the station equipment.

4. The integrated collaborative control system for a new energy intelligent station according to claim 3, wherein, The platform server (2) includes: A data processing module (21), which is used for cleaning, transforming, and storing the collected data; A storage module (22), which is used for storing the data after data processing; An application service module (23), which is used for providing application services such as remote centralized control, diagnosis and early warning, electricity market management, power prediction, and intelligent inspection.

5. The integrated collaborative control system for a new energy intelligent station according to claim 4, wherein The remote centralized control system is used for: Real-time monitoring of the environmental parameters and equipment operation status data of new energy power stations; Remote control of the equipment of new energy power stations, including starting / stopping the fan and adjusting the angle of the photovoltaic panel; Real-time obtaining of the power generation and power data of new energy power stations.

6. The integrated collaborative control system for a new energy intelligent station according to claim 5, characterized in that, The diagnosis and early warning system is used for: Deeply mining and analyzing the collected data; Establishing a fault diagnosis model to realize the fault diagnosis of the equipment of new energy power stations; Establishing an early warning model to realize the fault early warning of the equipment of new energy power stations.

7. The integrated collaborative control system for a new energy intelligent station according to claim 6, wherein, The electricity market management system is used for: Real-time obtaining of the information on electricity market prices and loads; Analyzing the trend of the electricity market and predicting the electricity trading price of new energy power stations; Formulating the electricity trading strategy of new energy power stations.

8. The integrated collaborative control system for a new energy intelligent station according to claim 1, wherein The power prediction system is used for: Based on historical data and artificial intelligence algorithms, realizing the prediction of the power output of new energy power stations in a future period of time; Providing a reference for power dispatching and improving the consumption rate of new energy.

9. The integrated collaborative control system for a new energy intelligent station according to claim 1, characterized in that The intelligent inspection system is used for: Realizing the automatic inspection of the equipment of new energy power stations through intelligent devices such as unmanned aerial vehicles and robots; Transmitting the inspection results to the platform server (2) in real time and performing data analysis; Discovering equipment failures and potential safety hazards and giving alarms in time.

10. The integrated collaborative control system for a new energy intelligent station according to claim 1, wherein: It includes using the Internet of Things perception layer (11) to collect data such as the environmental parameters, equipment operation status, and electricity market information of new energy power stations in real time; Transmitting the collected data to the platform server (2) for processing, storage, and application; The application layer (13) is used to achieve comprehensive management of the new energy production process, including remote centralized control, diagnostic warning, electricity market management, power prediction, and intelligent inspection.

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