LAN data centralized monitoring and calculation system

Abstract

The utility model provides a LAN data centralized monitoring and calculating system relates to LAN dispatching monitoring and management field. Including data acquisition module selects node from LAN and gathers electric power instantaneous quantity data, data processing module carries out screening, analysis and operation to the instantaneous quantity of gathering, including: through the calculation of total output of self -generation of reverse method, according to the total output of self -generation with the main force self -generation plant output data that has gathered, calculates the secondary self -generation plant output, to chain type line structure, through two end substation data calculation line inner power generation and load balance value as approximate power output, to tree shape line structure, through main line data subtracts public power plant and public load data and obtains self -generation output, centralized display module shows instantaneous quantity data after data processing module processing in same monitoring interface, has promoted data acquisition efficiency, has strengthened data timeliness and accuracy, has optimized dispatching decision, has improved power grid operation reliability.

Description

Technical Field

[0001] This utility model relates to the field of local area network (LAN) scheduling, monitoring and management, and in particular to a LAN data centralized monitoring and aggregation system. Background Technology

[0002] In the field of local area network (LAN) power dispatching and management, the complex composition of power generation and consumption entities within the LAN—including both enterprise-owned power plants and their own users, as well as public power plants and their own users—presents multiple challenges for dispatching operations. Dispatching agencies not only need to maintain the safe and stable operation of the main grid from a holistic perspective, but also need to rationally utilize their own dispatchable power generation resources to generate economic benefits for enterprises within the limits permitted by settlement rules. In this process, dispatching personnel must promptly grasp the balance between their own power generation output and their own power load, clarify the correspondence between their own power generation output and the loads entering and leaving the main grid, and accurately estimate the dispatching resources required to control the loads entering and leaving the main grid.

[0003] The existing centralized monitoring scheme has significant drawbacks: First, it relies solely on video screenshots to display the monitoring interfaces of all power plants and substations within the local area network (LAN) across multiple monitors in the dispatch center. This forces dispatchers to manually check each screen to obtain power generation and consumption data, and to manually calculate power output and load, which is time-consuming, labor-intensive, and unable to keep up with the real-time changes in power consumption within the LAN. It also easily leads to inaccurate calculation results, resulting in inappropriate allocation of dispatchable resources and failing to meet the needs of actual dispatching work. Second, dispatchers cannot obtain timely access to key data such as voltage, current, reactive power flow, and power factor at important nodes within the LAN. This makes it difficult for dispatchers to quickly adjust transformer tap changers and reactive power compensation devices, failing to provide users with better power quality and failing to meet the main grid dispatching agency's requirements for data timeliness and accuracy.

[0004] The aforementioned issues collectively constitute the pain points and difficulties in local area network power dispatching, necessitating a more efficient and accurate system to optimize the dispatching and management process. Utility Model Content

[0005] The main objective of this invention is to provide a local area network (LAN) data centralized monitoring and aggregation system, which solves the technical problems in the prior art such as untimely data acquisition, difficulty in data integration, low aggregation efficiency and insufficient accuracy, and difficulty in predicting and controlling the network load at the public gateway interface.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by this utility model is: a local area network data centralized monitoring and calculation system, characterized in that it includes: a data acquisition module, used to acquire instantaneous power data from selected nodes within the local area network, wherein the instantaneous data includes self-generated power output, self-used power load, self-owned reservoir power plant output, public power plant output, public power load, main gateway network load, main power plant output, main user load, voltage of each main line, active and reactive power and power factor of each main line;

[0007] The data processing module is used to filter, analyze, and calculate the collected instantaneous data, including: calculating the total self-generated power output F using a backward calculation method, and then estimating the output of secondary self-generated power plants based on the total self-generated power output F and the collected output data of the main self-generated power plants; for chain-type line structures, calculating the power generation and load balance value within the line as an approximate power generation output using data from the substations at both ends; for tree-type line structures, obtaining the self-generated power output by subtracting the data of public power plants and public loads from the data of the main line.

[0008] The centralized display module is used to display instantaneous data processed by the data processing module on a single monitoring interface.

[0009] In the preferred embodiment, the formula for calculating the total self-generated power output F is:

[0010] F=ADEG;

[0011] Where A is the load value of the main gateway port, D is the total output of the public power plant, E is the total public power load, and G is the total self-owned power load.

[0012] In a preferred embodiment, the data processing module further includes a priority setting submodule, which is used to set priorities for data from different data sources, with measurement source data having a higher priority than metering source data;

[0013] The data acquisition module acquires measurement source data in priority order, and the acquisition frequency is higher than the acquisition frequency of electricity metering data.

[0014] Once the data acquisition module has finished collecting the measurement source data, it will then collect the metering source data.

[0015] In a preferred embodiment, the data processing module further includes a demand calculation submodule, which calculates the on / off demand values ​​of the main gateway port in real time by simulating the calculation rules of the electricity meter.

[0016] In a preferred embodiment, the centralized display module includes a threshold alarm function, which triggers an alarm when any of the following conditions are detected:

[0017] The network load values ​​at the main gateway interface exceed the preset threshold.

[0018] The rate of change in power output of major power plants exceeds the set range;

[0019] The critical line voltage and power factor deviate from the standard value

[0020] Specifically, when calculating the demand for internet access at the main gateway, a software method simulating the calculation rules of electricity meters is used.

[0021] The preferred option also includes:

[0022] Each hydropower station with its own reservoir capacity is equipped with an independent monitoring unit to display its dispatchable output margin and expected duration in real time.

[0023] In the preferred embodiment, the data processing module uses the data from the hub substation as a reference point and calculates the power output data of nodes not directly monitored level by level through a power flow back-calculation algorithm.

[0024] In the preferred scheme, the power generation output of the chain-type line structure is calculated using the difference in electrical quantities at both ends, and the line loss correction value is automatically compensated.

[0025] In the preferred scheme, the total self-generated power output data output by the system includes a confidence level identifier, which is dynamically generated based on the completeness of the data source and the length of the calculation path.

[0026] This utility model provides a local area network (LAN) centralized monitoring and aggregation system, including a data acquisition module that collects instantaneous power data from selected nodes within the LAN; a data processing module that filters, analyzes, and calculates the collected instantaneous data, including: calculating the total self-generated power output F using a backward calculation method, and then estimating the output of secondary self-generated power plants based on the total self-generated power output F and the collected output data of the main self-generated power plants; for chain-type line structures, calculating the power generation and load balance value within the line as an approximate power generation output using data from the substations at both ends; for tree-type line structures, obtaining the self-generated power output by subtracting the data of public power plants and public loads from the data of the main line; and a centralized display module that displays the instantaneous data processed by the data processing module on the same monitoring interface; this system improves data acquisition efficiency, enhances data timeliness and accuracy, optimizes dispatching decisions, and improves the reliability of power grid operation. Attached Figure Description

[0027] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0028] Figure 1 This is a schematic diagram of the monitoring and accounting system of this utility model;

[0029] Figure 2 This is a diagram of the main interface of the system of this utility model;

[0030] Figure 3 This is the core processing logic and data flow diagram of this utility model. Detailed Implementation

[0031] Example 1

[0032] In this embodiment, the loads connected to and from the main gateway are abbreviated as A, the balance value between the output of the public power plant and the public load is abbreviated as B, and the balance value between the output of the self-generated power and the self-owned power load is abbreviated as C, where A = B + C. The output of the public power plant is abbreviated as D, and the public load is abbreviated as E, where B = D + E. The output of the self-generated power is abbreviated as F, and the self-owned power load is abbreviated as G, where C = F + G. Further derivation shows that A = D + E + F + G.

[0033] like Figure 1-3 As shown, a local area network (LAN) centralized data monitoring and aggregation system includes:

[0034] The data acquisition module is used to collect instantaneous power data from selected nodes within the local area network. The instantaneous data includes the output of self-generated power, self-used power load, output of self-owned reservoir power plants, output of public power plants, public power load, loads of the main gateway and the grid, output of major power plants, loads of major users, voltage of each major line, active and reactive power and power factor of each major line.

[0035] The data processing module is used to filter, analyze, and perform calculations on the collected instantaneous quantities, including:

[0036] (a) The total self-generated power output F is calculated using a backward calculation method. The formula for calculating the total self-generated power output F is:

[0037] F=ADEG;

[0038] Where A is the load value of the main gateway port, D is the total output of the public power plant, E is the total public power load, and G is the total self-owned power load.

[0039] (b) Based on the total output of self-owned power generation F and the output data of the main self-owned power plants that have been collected, the output of secondary self-owned power plants can be estimated; combined with regional data, the output of secondary self-owned power plants in a smaller range can be obtained.

[0040] (c) For chain-type line structures, the power generation and load balance values ​​within the line are calculated using data from the substations at both ends as approximate power generation output.

[0041] (d) For tree-like line structures, the self-generated power output is obtained by subtracting the public power plant and public load data from the trunk line data.

[0042] The centralized display module is used to display instantaneous data processed by the data processing module on a single monitoring interface.

[0043] This embodiment collects instantaneous power data from selected nodes within the local area network via a data acquisition module. The data processing module then filters, analyzes, and calculates the collected instantaneous data. Finally, a centralized display module uses the same monitoring interface to display the processed instantaneous data. By centrally collecting, processing, and displaying various key instantaneous power data within the local area network, the problem of scattered and cumbersome data acquisition in traditional monitoring is solved. Differentiated calculation logic is designed for different line structures, enabling accurate calculation of self-generated power output and improving the efficiency and convenience of data acquisition for dispatchers.

[0044] The theoretical basis for this embodiment is as follows:

[0045] 1. When the power generation output within the local area network exceeds the power consumption load, a power flow occurs at the main gateway. When the power generation output within the local area network is less than the power consumption load, a power flow occurs at the main gateway. Power generation output includes self-generated power output and power output from public power plants. Power consumption load includes self-generated power load and public power load.

[0046] Second, the output of self-owned power generation and the self-owned electricity load constitute a pair of balancing quantities, while the output of public power plants and the public electricity load constitute another pair of balancing quantities. These two pairs of balancing quantities together synthesize the on-grid and off-grid load values ​​at the public gateway. Only by understanding the operating patterns of these two pairs of balancing quantities can the on-grid and off-grid load values ​​at the public gateway be accurately predicted. Among the two pairs of balancing quantities, electricity load has relatively poor controllability. The output of self-owned power plants, especially self-owned reservoir-type hydropower plants, has the best controllability. Based on understanding the operating patterns of these two pairs of balancing quantities, and further accurately grasping the output of self-owned reservoir-type hydropower plants and the future available scale, the on-grid and off-grid load values ​​at the public gateway can be controlled in an orderly and effective manner.

[0047] like Figure 3 As shown, this embodiment demonstrates the core processing logic and data flow of the system. It achieves real-time visualization of the dynamic balance of all elements in the local area network, enabling dispatchers to quickly obtain the necessary information. By selectively collecting data from key nodes, it improves data acquisition efficiency, enhances monitoring accuracy, and reduces the number of collection points. The reverse calculation method solves the problem of distributed power monitoring, improves the accuracy of calculating the output of self-owned power generation, and employs a dedicated algorithm for chain / tree-like lines to further reduce errors, shorten calculation time, optimize power generation dispatch, improve the economy of self-owned power plants, and enhance the reliability of the system.

[0048] In the preferred embodiment, the data processing module also includes a priority setting submodule, which is used to set the priority of data from different data sources, with measurement source data having a higher priority than metering source data.

[0049] The data acquisition module collects measurement source data in priority order, and the acquisition frequency is higher than that of electricity metering data acquisition frequency.

[0050] Once the data acquisition module has finished collecting the measurement source data, it will then collect the metering source data.

[0051] This embodiment prioritizes data sources, allowing for the collection of measurement source data first. This reduces the impact of single-point data loss on the overall system while ensuring the relevance and efficiency of data collection, thus improving the system's ability to acquire real-time data.

[0052] In the preferred embodiment, the data processing module also includes a demand calculation submodule, which calculates the demand values ​​of the main gateway port in real time by simulating the calculation rules of the electricity meter, using software methods.

[0053] The preferred option also includes: configuring an independent monitoring unit for the self-owned reservoir-type hydropower station to display its dispatchable output margin and expected duration in real time.

[0054] This embodiment uses an independent monitoring unit to monitor the dispatchability of its own reservoir-type hydropower station in real time, thereby improving the flexibility and effectiveness of dispatching.

[0055] In the preferred scheme, the data processing module uses the data from the hub substation as the reference point and calculates the power output data of nodes not directly monitored level by level through the power flow back-calculation algorithm.

[0056] This expands the data coverage, ensures data comprehensiveness while controlling costs, and improves the system's adaptability to complex power grids.

[0057] In the preferred scheme, the power generation output of the chain-type line structure is calculated using the difference in electrical quantities at both ends, and the line loss correction value is automatically compensated.

[0058] In this embodiment, the chain-type line structure is similar to a rope strung together, with the two ends of the rope connected to the lines of two substations respectively. Considering that the power load is not large, the data from both ends is used to calculate the balance value of the self-generated output and the self-used power load in the line, and the balance value is used to approximate the self-generated output.

[0059] Tree-like line structure: Similar to a line that flows from branches to the trunk, the data of the main line is used to subtract the data of the public power plant and the public power load to obtain the self-generated power output and the self-used power load output.

[0060] This system sets alarm thresholds for the load on and off the main gateway, as well as the output of the main power station and the power consumption of key users within the local area network. When the relevant data fluctuations exceed the set threshold range, the system will issue an alarm and notify the on-duty dispatcher to make timely adjustments to prevent sudden changes in the load on and off the main gateway that exceed the dispatcher's control expectations.

[0061] In the preferred embodiment, the centralized display module includes a threshold alarm function, which triggers an alarm when any of the following conditions are detected:

[0062] 1) The load values ​​of the main gateway port for network access and outgoing exceed the preset threshold.

[0063] 2) The rate of change in the output of the main power plant exceeds the set range.

[0064] 3) The voltage and power factor of the critical circuits deviate from the standard values.

[0065] Specifically, when calculating the demand for internet access at the main gateway, a software method simulating the calculation rules of electricity meters is used.

[0066] This embodiment uses a software method that simulates the calculation rules of electricity meters to calculate the demand for the main gateway port in real time and accurately, thus meeting the dispatcher's real-time requirements for demand data.

[0067] The threshold alarm function monitors and promptly alerts to abnormal fluctuations in key data in real time, enabling dispatchers to respond quickly to sudden changes in the output of major power plants, abnormal line parameters, and other situations, thereby reducing the risk of power grid operation and improving power grid stability.

[0068] This embodiment improves the accuracy of calculating the self-generated power output of this type of line, reduces the impact of line losses on data accuracy, and ensures the consistency between local data and overall balance.

[0069] In the preferred scheme, the total self-generated power output data output by the system includes a confidence level identifier, which is dynamically generated based on the completeness of the data source and the length of the calculation path.

[0070] By adding confidence level indicators to the total output data of self-generated power, the reliability of the data can be reflected intuitively, helping dispatchers to judge the reference value of the data, avoid decision-making errors caused by data errors, and improve the scientific nature of dispatching decisions.

[0071] The above embodiments are merely preferred technical solutions of this utility model and should not be considered as limitations on this utility model. The protection scope of this utility model should be the technical solution described in the claims, including equivalent substitutions of the technical features described in the claims. That is, equivalent substitutions and improvements within this scope are also within the protection scope of this utility model.

Claims

1. A local area network (LAN) centralized data monitoring and aggregation system, characterized in that, include: The data acquisition module is used to collect instantaneous power data from selected nodes within the local area network. The instantaneous data includes the output of self-generated power, self-used power load, output of self-owned reservoir power plants, output of public power plants, public power load, loads of the main gateway and the grid, output of major power plants, loads of major users, voltage of each major line, active and reactive power and power factor of each major line. The data processing module is used to filter, analyze, and calculate the collected instantaneous data, including: calculating the total self-generated power output F using a backward calculation method, and then estimating the output of secondary self-generated power plants based on the total self-generated power output F and the collected output data of the main self-generated power plants; for chain-type line structures, calculating the power generation and load balance value within the line as an approximate power generation output using data from the substations at both ends; for tree-type line structures, obtaining the self-generated power output by subtracting the data of public power plants and public loads from the data of the main line. The centralized display module is used to display instantaneous data processed by the data processing module on a single monitoring interface.

2. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, The formula for calculating the total self-generated power output F is: F=ADEG; Where A is the load value of the main gateway port, D is the total output of the public power plant, E is the total public power load, and G is the total self-owned power load.

3. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, The data processing module also includes a priority setting submodule, which is used to set priorities for data from different data sources, with measurement source data having a higher priority than metering source data. The data acquisition module acquires measurement source data in priority order, and the acquisition frequency is higher than the acquisition frequency of electricity metering data. Once the data acquisition module has finished collecting the measurement source data, it will then collect the metering source data.

4. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, The data processing module also includes a demand calculation submodule, which calculates the demand values ​​of the main gateway port in real time by simulating the calculation rules of the electricity meter.

5. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, The centralized display module includes a threshold alarm function, which triggers an alarm when any of the following conditions are detected: The network load values ​​at the main gateway interface exceed the preset threshold. The rate of change in power output of major power plants exceeds the set range; The critical line voltage and power factor deviate from the standard value Specifically, when calculating the demand for internet access at the main gateway, a software method simulating the calculation rules of electricity meters is used.

6. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, Also includes: Each hydropower station with its own reservoir capacity is equipped with an independent monitoring unit to display its dispatchable output margin and expected duration in real time.

7. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, The data processing module uses data from the hub substation as a reference point and calculates the power output data of nodes not directly monitored level by level through a power flow back-calculation algorithm.

8. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, The power generation output of the chain-type line structure is calculated using the difference in electrical quantities at both ends, and the line loss correction value is automatically compensated.

9. The local area network data centralized monitoring and aggregation system according to claim 1, characterized in that, The system outputs total self-generated power output data including a confidence level indicator, which is dynamically generated based on the completeness of the data source and the length of the calculation path.

Images