Novel energy storage power station distributed multi-dimensional data fusion preprocessing unit

Abstract

According to the novel distributed multi-dimensional data fusion preprocessing unit for the energy storage power station, the data acquisition and transmission network of the distributed energy storage power station is simplified through the wireless communication technology, compared with the prior art, the wiring complexity and the maintenance cost are remarkably reduced, the reliability and the expansibility of the system are improved, and the reliability and the expansibility of the system are improved. Meanwhile, efficient fusion and real-time processing of multi-dimensional data are achieved, and support is provided for intelligent monitoring and efficient management of the energy storage power station.

Description

Technical Field

[0001] This utility model relates to the field of energy storage technology, specifically to a distributed multi-dimensional data fusion preprocessing unit based on wireless communication, which is suitable for multi-source data acquisition, processing and transmission in distributed energy storage systems. Background Technology

[0002] With the rapid development of new energy sources and the low-carbon transformation of power systems, electrochemical energy storage technology has received widespread attention as an important means to achieve power system flexibility. Electrochemical energy storage systems have advantages such as fast response speed, flexible installation, and short construction period, and can be widely used in various scenarios such as peak shaving and valley filling, frequency regulation, voltage support, and backup power. In recent years, with the rapid development of renewable energy power generation, energy storage technology has received widespread attention as a key means to improve grid stability and dispatch flexibility. Distributed energy storage power stations, due to their modular deployment, flexible expansion, and local energy supply characteristics, have become an important component of the energy internet. However, during operation, distributed energy storage power stations need to collect and integrate multi-dimensional and multi-node data in real time, such as voltage, current, temperature, air conditioning, local weather, smoke detection, water immersion, ambient temperature, SOH, SOC, SOP, and equalization current, to achieve accurate perception and efficient management of the energy storage unit status.

[0003] Traditional energy storage data acquisition and processing units mostly rely on wired communication methods, and the complexity of their wiring and the subsequent maintenance costs pose challenges in distributed scenarios. At the same time, distributed energy storage sites have diverse data types and large quantities, requiring preprocessing of the acquired data, including noise reduction, filtering, and feature extraction, to meet the real-time requirements of subsequent energy management systems.

[0004] Therefore, designing a novel data fusion preprocessing unit with high-efficiency data processing capabilities, low-latency and high-synchronization communication capabilities, and high reliability has become an important research direction for the development of energy storage technology. Utility Model Content

[0005] The purpose of this invention is to address the aforementioned problems by proposing a distributed multidimensional data fusion preprocessing unit based on wireless communication. This unit integrates advanced sensing technology, wireless communication modules, and intelligent data processing technology to collect multidimensional data from distributed energy storage power stations in real time, fuse information from different sensing nodes, and optimize data quality through preprocessing, thereby providing support for the efficient operation and precise scheduling of energy storage systems.

[0006] The technical solution of this utility model is:

[0007] This utility model provides a novel distributed multidimensional data fusion preprocessing unit for an energy storage power station. The novel energy storage power station includes a power conversion module, a power transmission module, and several energy storage units. Each energy storage unit includes several battery stacks, and each battery stack includes several individual batteries. The preprocessing unit includes:

[0008] The wireless data acquisition module includes a BMU wireless data collection module and a BCU wireless data collection module, which are used to collect the operating parameters of individual cells and battery stacks, respectively. The BMU wireless data collection module communicates with the BCU wireless data collection module to send the operating parameters of individual cells to the BCU wireless data collection module. The BCU wireless data collection module communicates with the data fusion and preprocessing module to send the operating parameters of individual cells and battery stacks to the data fusion and preprocessing module.

[0009] The environmental monitoring module is used to collect environmental parameters of the energy storage unit in real time and send them to the data fusion and preprocessing module.

[0010] The data fusion and preprocessing module is used to preprocess the collected data, including noise reduction and feature extraction, and then send it to the energy storage power station control center.

[0011] The communication and management module includes a local area network module and a 4G / 5G network module;

[0012] It also includes a display and control module, which provides a human-machine interface and supports status display and remote control.

[0013] Furthermore, the power transmission module includes busbars at various levels and unit step-up transformers for power transmission between the energy storage units inside the energy storage power station and the grid connection point.

[0014] Furthermore, the power conversion module includes an energy storage converter, which is connected to the bus via a unit step-up transformer to achieve bidirectional conversion between DC and AC power.

[0015] Furthermore, the data fusion and preprocessing module includes a VIT acquisition module and a data fusion terminal. The VIT acquisition module performs multi-point real-time sampling of the operating parameters of individual cells and battery stacks, and the data fusion terminal performs noise reduction, feature extraction, and anomaly detection on the sampled data.

[0016] Furthermore, the environmental monitoring module includes temperature and humidity, smoke detection, and water immersion sensors. The environmental monitoring module is used to collect environmental parameters and send them to the energy storage power station control center through the data fusion and preprocessing module.

[0017] Furthermore, the display and control module includes a device switch control module and an LVDS human-machine interface. The device switch control module is used to remotely start and stop the equipment inside the energy storage unit, and the LVDS human-machine interface displays the device operating status, environmental parameters and alarm information in real time.

[0018] The beneficial effects of this utility model are:

[0019] This invention, by introducing wireless communication technology, avoids the wiring complexity and high maintenance costs of traditional wired communication in distributed energy storage power stations, significantly improving the system's flexibility and reliability. The wireless communication module features low power consumption, high speed, and strong anti-interference capabilities, enabling it to adapt to the complex communication needs of multi-node distributed environments and achieve stable transmission of multi-source data.

[0020] This utility model adopts a multi-dimensional data fusion terminal, which can comprehensively process various data such as voltage, current, temperature, and capacity, effectively improving the comprehensiveness and accuracy of data analysis; it can complete noise reduction, redundancy removal, and feature extraction of raw data in real time, significantly improving data quality and providing efficient data support for subsequent energy storage scheduling and health management.

[0021] This invention features a modular design, allowing for flexible deployment at various nodes in a distributed energy storage power station. It seamlessly interfaces with different types of energy storage devices through standardized interfaces, thus adapting to diverse application scenarios. Its modularity also facilitates future system expansion and upgrades, helping to reduce deployment and maintenance costs.

[0022] This invention enables real-time monitoring of the operating status of distributed energy storage systems through efficient fusion and preprocessing of multidimensional data, thereby improving the safety and stability of system operation.

[0023] Other features and advantages of this invention will be described in detail in the following detailed description section. Attached Figure Description

[0024] The above and other objects, features and advantages of the present invention will become more apparent from the accompanying drawings, in which like reference numerals generally represent like parts.

[0025] Figure 1 A schematic diagram of the overall architecture of a novel distributed multidimensional data fusion preprocessing unit for an energy storage power station according to an embodiment of the present invention is shown. Detailed Implementation

[0026] Preferred embodiments of the present invention will now be described in more detail with reference to the accompanying drawings. Although preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0027] This utility model relates to a novel distributed multi-dimensional data fusion preprocessing unit for energy storage power stations, aiming to achieve end-to-end multi-source data acquisition, real-time fusion, intelligent preprocessing, and efficient management of energy storage systems, from battery packs, battery stacks, and energy storage units to the energy storage grid system. This unit combines wireless data transmission technology and a high-performance hardware architecture, supporting energy storage power station operation optimization and remote management in various scenarios.

[0028] For data acquisition of battery packs and stacks, BMU and BCU wireless data acquisition modules are used at the battery pack and stack levels to collect real-time operating parameters of individual cells and the stack, respectively. The BMU module is responsible for collecting key data such as voltage, current, and temperature of individual cells and uploading them to the BCU module via wireless communication protocols; the BCU module further collects comprehensive operating data of the stack, including information such as total current, total voltage, and temperature distribution.

[0029] For data fusion and preprocessing of energy storage units, the energy storage unit, as the core component of the energy storage system, is equipped with a high-performance data fusion terminal responsible for aggregating data from the BMU and BCU modules. The VIT acquisition module enables multi-dimensional monitoring of the operating status of the battery pack and stack. The VIT acquisition module can perform multi-point real-time sampling of the battery system's voltage, current, and temperature to ensure system operational safety. An industrial tablet can perform noise reduction, redundancy removal, and feature extraction on multi-source data to generate optimized status reports, supporting the efficient operation of the energy storage unit. Specifically, the VIT acquisition module uses an Advantech USB-4718 multi-channel data acquisition card, which uses its high-precision ADC module to synchronously sample the voltage, current, and temperature signals of the battery pack and stack. The data fusion terminal uses a Siemens SIMATIC S7-1500 PLC to perform industrial-grade signal processing, data noise reduction, feature extraction, and anomaly detection functions, ensuring that the data quality meets the real-time analysis requirements of the energy storage power station control center. Advantech USB-4718: Designed for industrial environments, it supports multi-sensor signal acquisition, has electromagnetic interference immunity, and meets the stringent environmental requirements of energy storage power stations. Siemens SIMATIC S7-1500: Widely used in industrial automation.

[0030] The data fusion terminal communicates with multiple devices inside the energy storage unit through the local area network, including the energy storage converter, the converter control system, the environmental monitoring module, etc. Among them, the energy storage converter is connected to the 35 kV bus section I and the 35 kV bus section II through the unit booster transformer to achieve efficient conversion and transmission of DC and AC electric energy. After integrating the output electric energy of multiple energy storage units, the converging bus is connected to the 220 kV incoming line and the 229 kV bus through the booster transformer in the grid connection substation, and finally并入 the power grid to achieve the efficient operation of the large-scale energy storage system.

[0031] For environmental monitoring and equipment status management, in order to ensure the long-term stable operation of the equipment inside the energy storage unit, the present invention integrates a comprehensive environmental monitoring module, including air conditioners, smoke sensors, water immersion sensors, temperature and humidity sensors, access control systems, etc. The environmental monitoring module is connected to the data fusion terminal through the local area network, uploads environmental parameters in real time, and supports the linkage control function. In addition, the equipment switch control module is connected to the data fusion terminal through the local area network to achieve remote start and stop operations of the energy storage unit equipment. At the same time, the LVDS display module is used to display the operation status, environmental parameters and alarm information of the energy storage unit in real time, providing an intuitive monitoring interface for operation and maintenance personnel.

[0032] For communication and data management, the present invention supports multi-mode communication of local area network, 4G / 5G network, and can achieve efficient data transmission and instruction interaction between the energy storage unit and the dispatching host. The dispatching host issues control commands to the energy storage unit through the remote publishing module, and at the same time receives and stores the operation data uploaded by it, supporting remote dispatching and multi-location data synchronization. Through the collaborative work of the data fusion terminal and the dispatching host, centralized management and global optimization of the energy storage system can be achieved. The 4G / 5G communication module ensures that the energy storage unit can still maintain a stable connection with the cloud management platform even in a long-distance or complex network environment, meeting the remote management requirements of large-scale energy storage power stations.

[0033] The above has described the embodiments of the present utility model. The above description is exemplary and not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes are obvious to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A novel distributed multidimensional data fusion preprocessing unit for an energy storage power station, the novel energy storage power station comprising a power conversion module, a power transmission module, and several energy storage units, wherein each energy storage unit comprises several battery stacks, and each battery stack comprises several individual batteries; characterized in that, The preprocessing unit includes: The wireless data acquisition module includes a BMU wireless data collection module and a BCU wireless data collection module, which are used to collect the operating parameters of individual cells and battery stacks, respectively. The BMU wireless data collection module communicates with the BCU wireless data collection module to send the operating parameters of individual cells to the BCU wireless data collection module. The BCU wireless data collection module communicates with the data fusion and preprocessing module to send the operating parameters of individual cells and battery stacks to the data fusion and preprocessing module. The environmental monitoring module is used to collect environmental parameters of the energy storage unit in real time and send them to the data fusion and preprocessing module. The data fusion and preprocessing module is used to preprocess the collected data, including noise reduction and feature extraction, and then send it to the energy storage power station control center. The communication and management module includes a local area network module and a 4G / 5G network module; It also includes a display and control module, which provides a human-machine interface and supports status display and remote control.

2. The distributed multidimensional data fusion preprocessing unit for energy storage power stations as described in claim 1, characterized in that, The power transmission module includes busbars at various levels and unit step-up transformers, used for power transmission between the energy storage units inside the energy storage power station and the grid connection point.

3. The distributed multidimensional data fusion preprocessing unit for energy storage power stations as described in claim 2, characterized in that, The power conversion module includes an energy storage converter, which is connected to the bus via a unit step-up transformer to achieve bidirectional conversion between DC and AC power.

4. The distributed multidimensional data fusion preprocessing unit for energy storage power stations as described in claim 1, characterized in that, The data fusion and preprocessing module includes a VIT acquisition module and a data fusion terminal. The VIT acquisition module performs multi-point real-time sampling of the operating parameters of individual cells and battery stacks, and the data fusion terminal performs noise reduction, feature extraction and anomaly detection on the sampled data.

5. The distributed multidimensional data fusion preprocessing unit for energy storage power stations as described in claim 1, characterized in that, The environmental monitoring module includes temperature and humidity, smoke detection, and water immersion sensors. The environmental monitoring module is used to collect environmental parameters and send them to the energy storage power station control center through the data fusion and preprocessing module.

6. The distributed multidimensional data fusion preprocessing unit for energy storage power stations as described in claim 1, characterized in that, The display and control module includes a device switch control module and an LVDS human-machine interface. The device switch control module is used to remotely start and stop the equipment inside the energy storage unit, and the LVDS human-machine interface displays the device operating status, environmental parameters and alarm information in real time.

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