Power system operation and maintenance regulation and control platform based on data acquisition and analysis

Abstract

The invention discloses an electric power system operation and maintenance regulation and control platform based on data acquisition and analysis, relates to the technical field of electric power system operation and maintenance regulation and control, solves the technical problem that in the prior art, load scheduling cannot be controlled and predicted, so that operation and maintenance operation cannot be controlled in real time, and particularly relates to a multi-dimensional operation parameter detection unit. Performing multi-dimensional operation parameter detection on the power system, acquiring time supply data and space supply data, and deducing whether the operation parameter detection is normal or not according to data analysis; the load dispatching visual control unit is used for carrying out load dispatching control on the electric power system, acquiring an electric quantity ratio numerical value ratio and dispatching influence information, and deducing whether load dispatching has risks or not according to information comparison; and the operation and maintenance control prediction unit is used for performing control prediction on operation and maintenance of the electric power system, inferring whether the operation and maintenance operation of the current electric power system meets actual requirements through operation and maintenance prediction, collecting non-operation and maintenance floating information and operation and maintenance influence information, and inferring whether the operation and maintenance prediction is abnormal according to information analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of operation and maintenance control of power systems, and specifically to an operation and maintenance control platform for power systems based on data acquisition and analysis. Background Art

[0002] A power system is an electric energy production and consumption system composed of links such as power generation, power transmission, power transformation, power distribution, and power consumption; its main function is to convert primary energy in nature into electric energy through power generation power devices, and then supply the electric energy to each user through power transmission, power transformation, and power distribution; operation and maintenance control of the power system is an important link to ensure the safe, stable, and reliable operation of the power system; daily inspections, maintenance, and repairs are carried out on power generation equipment, transmission lines, substation equipment, power distribution facilities, etc. in the power system to timely detect equipment failures and hidden dangers, and perform repairs and treatments to ensure the normal operation of the equipment.

[0003] However, in the prior art, it is impossible to detect multi-dimensional operation parameters of the power system, so that it is impossible to perform state analysis based on multiple dimensions, unable to perform operation and maintenance control in a timely manner, and unable to control and predict load dispatching, so that it is impossible to control operation and maintenance operations in real time, and unable to ensure the normal operation of the load dispatching state.

[0004] In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems, and to propose an operation and maintenance control platform for power systems based on data acquisition and analysis.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] An operation and maintenance control platform for power systems based on data acquisition and analysis includes an operation and maintenance control platform, wherein the operation and maintenance control platform is communicatively connected to a multi-dimensional operation parameter detection unit, a load dispatching visualization control unit, and an operation and maintenance control prediction unit;

[0008] The multi-dimensional operation parameter detection unit detects multi-dimensional operation parameters of the power system, collects time supply data and space supply data, and infers whether the operation parameter detection is normal based on data analysis;

[0009] The load dispatching visualization control unit controls the load dispatching of the power system, obtains the power ratio value ratio and dispatching influence information, and infers whether there is a risk in the load dispatching based on information comparison;

[0010] An operation and maintenance control prediction unit controls and predicts the operation and maintenance of a power system. It infers whether the current operation and maintenance operations of the power system meet the actual requirements through operation and maintenance prediction, collects non-operation and maintenance floating information and operation and maintenance impact information, and infers whether the operation and maintenance prediction is abnormal based on the information analysis.

[0011] As a preferred embodiment of the present invention, the time supply data and the space supply data are respectively the numerical deviation between the operation parameter control value and the actual operation parameter value in different operation duration states, and the numerical control repair duration after the operation parameter supply value corresponding to different power system supply areas fluctuates.

[0012] As a preferred embodiment of the present invention, if the time supply data exceeds the numerical deviation threshold, or the space supply data exceeds the control repair duration threshold, it is inferred that the detection of the operation parameters of the power system is abnormal, and a detection abnormal signal is generated; if the time supply data does not exceed the numerical deviation threshold, and the space supply data does not exceed the control repair duration threshold, it is inferred that the detection of the operation parameters of the power system is normal, a detection normal signal is generated and the detection normal signal is sent to the operation and maintenance control platform.

[0013] As a preferred embodiment of the present invention, the method for obtaining the power ratio value ratio: collect the power ratio of the real-time scheduling amount to the maximum scheduling amount and the power ratio of the real-time scheduling completion amount to the real-time remaining amount to be scheduled during the load scheduling stage of the power system, and calculate the value ratio through ratio calculation;

[0014] The scheduling impact information is expressed as the cumulative operation duration when the operating temperature of each component of the power system exceeds the rated temperature when the real-time scheduling power of the power system increases during the load scheduling stage.

[0015] As a preferred embodiment of the present invention, if the power ratio value ratio exceeds the value ratio threshold, or the scheduling impact information exceeds the cumulative operation duration threshold, it is inferred that the load scheduling state of the power system is in a risk state, a scheduling risk signal is generated and the scheduling risk signal is sent to the operation and maintenance control platform; if the power ratio value ratio does not exceed the value ratio threshold, and the scheduling impact information does not exceed the cumulative operation duration threshold, it is inferred that the load scheduling state of the power system is in a normal state, a scheduling normal signal is generated and the scheduling normal signal is sent to the operation and maintenance control platform.

[0016] As a preferred embodiment of the present invention, the non-operation and maintenance floating information and the operation and maintenance impact information are respectively the rising span of the excess amount of the operation parameters of non-operation and maintenance power equipment exceeding the rated threshold during the operation and maintenance stage of the power system, and the duration value ratio of the operation and maintenance duration of the operation and maintenance power equipment to the duration of being put into use after the operation and maintenance ends during the operation and maintenance stage of the power system.

[0017] As a preferred embodiment of the present invention, if the non-operation and maintenance floating information exceeds the rising span threshold of the excess amount, or the operation and maintenance impact information exceeds the duration value ratio threshold, it is inferred that the operation and maintenance prediction of the power system is abnormal, and an operation and maintenance control signal is generated and sent to the operation and maintenance regulation platform; if the non-operation and maintenance floating information does not exceed the rising span threshold of the excess amount, and the operation and maintenance impact information does not exceed the duration value ratio threshold, it is inferred that the operation and maintenance prediction of the power system is normal, and an operation and maintenance normal signal is generated and sent to the operation and maintenance regulation platform.

[0018] Compared with the prior art, the beneficial effects of the present invention are:

[0019] 1. In the present invention, the operation parameters of the power system are detected in multiple dimensions, and whether the current operation state of the power system meets the actual requirements is inferred through multiple, so as to perform operation state early warning, so as to perform operation state early warning in time, and perform operation and maintenance processing in time when a fault occurs in an abnormal operation state, reducing the fault impact of the power system and avoiding the influence on the power supply progress.

[0020] 2. In the present invention, load dispatching control is performed on the power system, and the current load dispatching demand is inferred through the load dispatching control of the power system, so as to improve the supply efficiency of the power system. At the same time, the operation and maintenance demand analysis can be performed according to the load dispatching state, so as to perform operation and maintenance adjustment in time to ensure the load dispatching state, reducing the risk of increased faults caused by changes in workload during load dispatching and reducing the operation and maintenance feasibility of the power system; control prediction is performed on the operation and maintenance of the power system, and whether the current operation and maintenance operation of the power system meets the actual requirements is inferred through operation and maintenance prediction, avoiding the situation that the operation efficiency of the power system still shows a downward trend during the operation and maintenance process, so as to reduce the operation efficiency of the power system, increasing the equipment wear amount corresponding to the power equipment that has not been maintained, affecting the operation performance and making the operation state of the power system unable to improve. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0022] Figure 1 is the principle block diagram of the present invention;

[0023] Figure 2 is the method flow block diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0024] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below 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 of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0025] As used herein, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0026] Please refer to Figure 1 - Figure 2 As shown, a power system operation and maintenance control platform based on data acquisition and analysis includes an operation and maintenance control platform, wherein the operation and maintenance control platform is communicatively connected to a multi-dimensional operation parameter detection unit, a load dispatching visualization control unit, and an operation and maintenance control prediction unit;

[0027] The operation control platform generates a multi-dimensional operation parameter detection signal and sends the multi-dimensional operation parameter detection signal to the multi-dimensional operation parameter detection unit;

[0028] After receiving the multi-dimensional operation parameter detection signal, the multi-dimensional operation parameter detection unit performs multi-dimensional operation parameter detection on the power system, and infers whether the operation state of the current power system meets the actual requirements through multiple aspects, so as to perform operation state early warning, facilitate timely operation state early warning, and perform operation and maintenance processing in a timely manner when a fault occurs due to abnormal operation state, reduce the fault impact of the power system, and avoid affecting the power supply progress;

[0029] The numerical deviation between the operation electrical parameter control value and the actual operation electrical parameter value is collected at different operation duration states in the time dimension, and the numerical deviation between the operation electrical parameter control value and the actual operation electrical parameter value at different operation duration states is marked as time supply data; wherein the operation electrical parameter is represented by parameters such as the operation voltage and current of the power system;

[0030] The numerical control repair duration after the operation electrical parameter supply value corresponding to different power system supply areas fluctuates is collected in the space dimension, and the numerical control repair duration after the operation electrical parameter supply value corresponding to different power system supply areas fluctuates is marked as space supply data;

[0031] Compare the numerical deviation between the operating electrical parameter control value and the actual operating electrical parameter value at different operating duration states, and the numerical control repair duration after the operating electrical parameter supply value corresponding to different power system supply areas fluctuates, with the numerical deviation threshold and the control repair duration threshold respectively:

[0032] If the numerical deviation between the operating electrical parameter control value and the actual operating electrical parameter value at different operating duration states exceeds the numerical deviation threshold, or the numerical control repair duration after the operating electrical parameter supply value corresponding to different power system supply areas fluctuates exceeds the control repair duration threshold, it is inferred that the detection of the operating electrical parameters of the power system is abnormal, a detection abnormal signal is generated and sent to the operation and maintenance control platform. After receiving the detection abnormal signal, the operation and maintenance control platform performs operation and maintenance control on the power system, that is, shortens the continuous operating duration of the power system and reduces the coverage area of the power system during the operating stage;

[0033] If the numerical deviation between the operating electrical parameter control value and the actual operating electrical parameter value at different operating duration states does not exceed the numerical deviation threshold, and the numerical control repair duration after the operating electrical parameter supply value corresponding to different power system supply areas fluctuates does not exceed the control repair duration threshold, it is inferred that the detection of the operating electrical parameters of the power system is normal, a detection normal signal is generated and sent to the operation and maintenance control platform;

[0034] At the same time, a load dispatch visualization control signal is generated and sent to the load dispatch visualization control unit. After receiving the load dispatch visualization control signal, the load dispatch visualization control unit performs load dispatch control on the power system, infers the current load dispatch demand through the load dispatch control of the power system, thereby improving the supply efficiency of the power system. At the same time, it can analyze the operation and maintenance requirements according to the load dispatch state, so as to make operation and maintenance adjustments in time to ensure the load dispatch state, reduce the increase in the failure risk caused by the change in workload during load dispatch, and reduce the operation and maintenance feasibility of the power system;

[0035] Collect the electricity quantity ratio of the real-time dispatch volume to the maximum dispatch volume and the electricity quantity ratio of the real-time dispatch completion volume to the real-time remaining to-be-dispatched volume during the load dispatch stage of the power system, and obtain the numerical ratio of the electricity quantity ratio through ratio calculation;

[0036] Collect the cumulative operating duration when the operating temperature of each component of the power system exceeds the rated temperature when the real-time dispatch electricity quantity of the power system increases during the load dispatch stage, and mark the cumulative operating duration when the operating temperature of each component of the power system exceeds the rated temperature when the real-time dispatch electricity quantity of the power system increases during the load dispatch stage as dispatch impact information;

[0037] Compare the numerical ratio of the electricity quantity ratio and the dispatch impact information with the numerical ratio threshold and the cumulative operating duration threshold respectively:

[0038] If the ratio of the power consumption percentage exceeds the ratio threshold, or when the real-time scheduled power consumption increases during the power system load dispatching stage, the cumulative operating duration during which the operating temperatures of the components of the power system exceed the rated temperature exceeds the cumulative operating duration threshold, it is inferred that the power system load dispatching state is in a risk state, a dispatching risk signal is generated and sent to the operation and maintenance control platform. After receiving the dispatching risk signal, the operation and maintenance control platform maintains the power equipment operating during the power system dispatching process and re-plans and allocates the load dispatching task volume;

[0039] If the ratio of the power consumption percentage does not exceed the ratio threshold, and when the real-time scheduled power consumption increases during the power system load dispatching stage, the cumulative operating duration during which the operating temperatures of the components of the power system exceed the rated temperature does not exceed the cumulative operating duration threshold, it is inferred that the power system load dispatching state is in a normal state, a dispatching normal signal is generated and sent to the operation and maintenance control platform;

[0040] Meanwhile, an operation and maintenance control prediction signal is generated and sent to the operation and maintenance control prediction unit;

[0041] After receiving the operation and maintenance control prediction signal, the operation and maintenance control prediction unit conducts control prediction on the operation and maintenance of the power system. Through operation and maintenance prediction, it infers whether the current operation and maintenance operations of the power system meet the actual requirements, avoiding the situation where the operation efficiency of the power system still shows a downward trend during the operation and maintenance process, resulting in a decrease in the operation efficiency of the power system, an increase in the equipment wear amount corresponding to the power equipment that has not undergone operation and maintenance, and an impact on the operation performance, making the operation state of the power system unable to improve;

[0042] Collect the rising span of the excess amount by which the operating electrical parameters of the non-operation and maintenance power equipment during the operation and maintenance stage of the power system exceed the rated threshold. At the same time, collect the ratio of the operation and maintenance duration of the operation and maintenance power equipment to the corresponding duration value of the operation duration after the operation and maintenance during the operation and maintenance stage of the power system. Mark the rising span of the excess amount by which the operating electrical parameters of the non-operation and maintenance power equipment during the operation and maintenance stage of the power system exceed the rated threshold and the ratio of the operation and maintenance duration of the operation and maintenance power equipment to the corresponding duration value of the operation duration after the operation and maintenance during the operation and maintenance stage of the power system as non-operation and maintenance floating information and operation and maintenance impact information respectively, and compare them with the excess amount rising span threshold and the duration ratio threshold respectively:

[0043] If the rising span of the excess amount by which the operating electrical parameters of non-maintenance power equipment exceed the rated threshold during the power system maintenance phase exceeds the excess amount rising span threshold, or if the ratio of the maintenance duration of maintenance power equipment to the corresponding duration value of the usage duration after the end of maintenance during the power system maintenance phase exceeds the duration value ratio threshold, it is inferred that the power system maintenance prediction is abnormal. A maintenance control signal is generated and sent to the maintenance control platform. After receiving the maintenance control signal, the maintenance control platform adjusts the maintenance operations within the power system, selectively maintains the power equipment undergoing maintenance to ensure timely commissioning and reduce the load pressure on the power system, and evaluates the operating status of non-maintenance power equipment to reduce the overloaded operation duration and balance the overloaded time to reduce the supply fluctuation of the power system;

[0044] If the rising span of the excess amount by which the operating electrical parameters of non-maintenance power equipment exceed the rated threshold during the power system maintenance phase does not exceed the excess amount rising span threshold, and the ratio of the maintenance duration of maintenance power equipment to the corresponding duration value of the usage duration after the end of maintenance during the power system maintenance phase does not exceed the duration value ratio threshold, it is inferred that the power system maintenance prediction is normal. A maintenance normal signal is generated and sent to the maintenance control platform.

[0045] When the present invention is in use, the multi-dimensional operation parameter detection unit detects the multi-dimensional operation parameters of the power system, collects time supply data and space supply data, and infers whether the operation parameter detection is normal based on data analysis; the load dispatching visualization control unit controls the load dispatching of the power system, obtains the power ratio value ratio and dispatching impact information, and infers whether there is a risk in the load dispatching based on information comparison; the maintenance control prediction unit controls and predicts the maintenance of the power system, infers whether the current maintenance operations of the power system meet the actual requirements through maintenance prediction, collects non-maintenance fluctuation information and maintenance impact information, and infers whether the maintenance prediction is abnormal based on information analysis.

[0046] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not elaborate on all the details and do not limit the invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the relevant technical fields can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A power system operation and maintenance control platform based on data acquisition and analysis, characterized in that, It includes an operation and maintenance regulation platform, where the operation and maintenance regulation platform is communicatively connected to a multi-dimensional operation parameter detection unit, a load dispatch visualization control unit, and an operation and maintenance control prediction unit; The multi-dimensional operation parameter detection unit detects the multi-dimensional operation parameters of the power system, collects time supply data and space supply data, and infers whether the operation parameter detection is normal based on data analysis; The load dispatch visualization control unit controls the load dispatch of the power system, obtains the power consumption ratio value ratio and dispatch influence information, and infers whether there is a risk in the load dispatch based on information comparison; The operation and maintenance control prediction unit controls and predicts the operation and maintenance of the power system, infers whether the current operation and maintenance operations of the power system meet the actual requirements through operation and maintenance prediction, collects non-operation and maintenance floating information and operation and maintenance influence information, and infers whether the operation and maintenance prediction is abnormal based on information analysis.

2. The power system operation and maintenance control platform based on data acquisition and analysis according to claim 1, wherein The time supply data and space supply data are respectively the numerical deviation between the operation electrical parameter control value and the actual operation electrical parameter value in different operation duration states, and the numerical control repair duration after the operation electrical parameter supply value corresponding to different power system supply areas fluctuates.

3. The power system operation and maintenance control platform based on data acquisition and analysis according to claim 2, characterized in that If the time supply data exceeds the numerical deviation threshold, or the space supply data exceeds the control repair duration threshold, it is inferred that the operation electrical parameter detection of the power system is abnormal, and a detection abnormal signal is generated; If the time supply data does not exceed the numerical deviation threshold, and the space supply data does not exceed the control repair duration threshold, it is inferred that the operation electrical parameter detection of the power system is normal, a detection normal signal is generated and the detection normal signal is sent to the operation and maintenance regulation platform.

4. The power system operation and maintenance control platform based on data acquisition and analysis according to claim 1, wherein The method for obtaining the power consumption ratio value ratio: collect the power consumption ratio of the real-time dispatch volume to the maximum dispatch volume and the power consumption ratio of the real-time dispatch completion volume to the real-time remaining to-be-dispatched volume during the load dispatch stage of the power system, and obtain the value ratio through ratio calculation; The dispatch influence information is expressed as the cumulative operation duration when the operation temperature of each component of the power system exceeds the rated temperature when the real-time dispatch power consumption of the power system increases during the load dispatch stage.

5. The power system operation and maintenance control platform based on data acquisition and analysis according to claim 4, wherein If the power consumption ratio value ratio exceeds the value ratio threshold, or the dispatch influence information exceeds the cumulative operation duration threshold, it is inferred that the load dispatch state of the power system is in a risk state, a dispatch risk signal is generated and the dispatch risk signal is sent to the operation and maintenance regulation platform; If the power consumption ratio value ratio does not exceed the value ratio threshold, and the dispatch influence information does not exceed the cumulative operation duration threshold, it is inferred that the load dispatch state of the power system is in a normal state, a dispatch normal signal is generated and the dispatch normal signal is sent to the operation and maintenance regulation platform.

6. The power system operation and maintenance control platform based on data acquisition and analysis according to claim 1, characterized in that, The non-operation and maintenance floating information and operation and maintenance influence information are respectively the rising span of the excess amount of the operation electrical parameters of non-operation and maintenance power equipment exceeding the rated threshold during the operation and maintenance stage of the power system, and the duration value ratio of the operation and maintenance duration of the operation and maintenance power equipment to the operation duration after the operation and maintenance ends during the operation and maintenance stage of the power system.

7. The power system operation and maintenance control platform based on data acquisition and analysis according to claim 6, wherein, If the non-operation and maintenance floating information exceeds the excess amount increase span threshold, or the operation and maintenance impact information exceeds the duration value ratio threshold, it is inferred that the operation and maintenance prediction of the power system is abnormal, a maintenance control signal is generated and the maintenance control signal is sent to the operation and maintenance control platform; if the non-operation and maintenance floating information does not exceed the excess amount increase span threshold and the operation and maintenance impact information does not exceed the duration value ratio threshold, it is inferred that the operation and maintenance prediction of the power system is normal, a maintenance normal signal is generated and the maintenance normal signal is sent to the operation and maintenance control platform.

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