CN116228466A - Big data analysis system of smart power grids - Google Patents
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Abstract
The invention relates to the technical field of power grid data analysis and processing, in particular to a smart power grid big data analysis system which comprises a data acquisition module, a data analysis module, a judgment module and a data storage module. According to the invention, the voltage value and the environmental parameter are collected, and the data are comprehensively calculated to obtain the power transmission evaluation value and the environmental evaluation value which are taken as the judgment references, so that the running state of the power grid can be comprehensively evaluated from two aspects of the dynamic parameter in the power grid and the surrounding environment where the power grid is located, and meanwhile, the actual environment where the power grid is located can be effectively determined by combining the historical operation and update data stored in the data storage module, so that the influence of the environment where the node is located on the analysis result is avoided by carrying out targeted correction on the judgment references, and the analysis precision of the power grid is further improved, and the analysis efficiency of the power grid running process is further improved.
Description
Technical Field
The invention relates to the technical field of power grid data analysis and processing, in particular to a smart power grid big data analysis system.
Background
The power grid is also called as a power grid, is an integral body formed by power transformation stations and power transmission and distribution lines of various voltages in the power system, and comprises three units of power transformation, power transmission and power distribution, and the power grid is used for transmitting and distributing electric energy and changing the voltage; with the continuous expansion of the power grid scale and the access of large-scale renewable intermittent energy sources, the power grid faces serious safety and reliability problems. The traditional power system safety reliability analysis technology has the characteristics of few acquisition points and large operation amount, along with gradual perfection of an information acquisition system covering the whole system, the intelligent power grid can acquire panoramic data of the whole system in real time, the analysis and evaluation calculation amount based on the panoramic data is very large, calculation disasters are easy to cause, and thousands of differential equations can not be solved, so that the real-time requirement can not be met; on the other hand, with the access of large-scale distributed intermittent energy, the uncertainty of the distributed energy is difficult to predict, and the like, so that the impact on a large power grid is easy to cause, and the stability of the system is more required.
At present, in the operation process of a power grid, an efficient online analysis processing method is lacking, large data comparison analysis is difficult to apply to the power output data of a power output end, efficient power output analysis data is difficult to obtain by a power department, and the power department is inconvenient to transmit and distribute electric energy and adjust voltage according to the power consumption condition of an actual power utilization terminal.
Chinese patent CN114065875B discloses a power grid fault recognition system based on big data, which is used for solving the problems that in the existing fault management and control analysis of the power grid, fault recognition is often performed only through single and scattered data, and faults generated by the power grid are difficult to rapidly and accurately judge and analyze, so that the mode of power grid fault recognition has larger error and inaccuracy, and the system comprises a data acquisition unit, a preliminary fault recognition unit, a fine fault recognition unit, a fusion analysis unit, a fault early warning unit and a display terminal. And performing characterization analysis mining and objective demonstration on the operation data respectively in a mode of comparison analysis, symbol calibration, matrix output and formulation processing, and performing data integration analysis on the operation data and the operation data to complete the identification of the power grid faults.
It follows that the system has the following problems:
the system only obtains the running state of the power grid at a specific time point through the running data information in the power grid, so that the cause of faults in the power grid is determined, the state of the power grid cannot be comprehensively assessed by combining the peripheral data in the running process of the power grid, the analysis precision of the power grid is reduced, and the analysis efficiency of the running process of the power grid is reduced.
Disclosure of Invention
Therefore, the invention provides a smart grid big data analysis system which is used for solving the problem that in the prior art, analysis efficiency is low in a grid operation process because the smart grid big data analysis system cannot be analyzed by combining external parameters of a grid.
To achieve the above object, the present invention provides a smart grid big data analysis system, comprising:
the data acquisition module comprises a plurality of voltage detectors which are arranged at corresponding nodes in the power grid to acquire the voltage of each node in the running process of the power grid and a plurality of weather detectors which are arranged at each node to acquire the environmental parameters of each node, wherein the environmental parameters comprise the temperature, the relative humidity and the air pressure of the environment of each node;
the data analysis module is respectively connected with each voltage detector and each climate detector and is used for obtaining the power transmission evaluation value of each node at each time node in a preset period and obtaining the environment evaluation value of each node under the corresponding time node according to the environment parameters of the environment of the node under the time node;
the judging module is connected with the rest of the data analysis modules and is used for receiving the power transmission evaluation value of each node corresponding to the time node in the preset period output by the data analysis module to judge whether the operation state of each node in the preset period meets the preset standard in sequence, judging whether the reason that the operation state of each time node in the preset period does not meet the preset standard is weather reason according to the environment evaluation value of each time node in the preset period when the operation state of a single node in the preset period is primarily judged to be not met with the preset standard, judging whether the evaluation standard aiming at the environment evaluation value is regulated according to historical data when the operation state of the node in the preset period is judged to be not met with the weather reason, and further determining the reason that the operation state of the node in the preset period does not meet the preset standard according to the power transmission evaluation value of each time node in the preset period and the adjacent power transmission evaluation value of the adjacent node in the corresponding time node in the preset period when the operation state of the node is judged to be not met with the non-weather reason;
The data storage module is respectively connected with the data acquisition module, the data analysis module and the judging module and is used for respectively receiving and storing the voltage value and the environment parameter of each node corresponding to the time node transmitted by the data acquisition module, the power transmission evaluation value and the environment evaluation value of each node corresponding to the time node transmitted by the data analysis module and the judging result and the adjusting instruction transmitted by the judging module.
Further, for the transmission evaluation value of the ith node at the jth time node in the preset period, the data analysis module marks it as R ij Wherein i=1, 2,3, …, m, m is the total number of nodes to be detected in the power grid, j=3, 4,5, …, n, n is the total number of time nodes to be detected in a single preset period of a single node, and the following is set:
wherein U is ij For the voltage value of the ith node measured by the voltage detector under the jth time node in the preset period, U i0 A reference voltage value, U, for the ith node preset for the decision module i(j-1) For the voltage value of the ith node measured by the voltage detector at the jth-1 time node in the preset period, U i(j-2) For the voltage value of the i-th node measured by the voltage detector at the j-2 th time node in the preset period.
Further, the determining module determines, under a first preset condition, a level determining manner of a voltage fluctuation level of an ith node in a preset period according to a power transmission evaluation value of the ith node in the time node, where:
the first level judging mode is that the judging module judges that the fluctuation range of the node under the time node meets a preset fluctuation standard, and the voltage fluctuation level of the node at the time node is marked as a first level fluctuation level; the first level judgment mode meets the condition that the power transmission evaluation value is smaller than or equal to a first preset power transmission evaluation value preset in the judgment module;
the second level judgment mode is that the judgment module judges that the fluctuation range of the node under the time node does not accord with a preset fluctuation standard, and marks the voltage fluctuation level of the node at the time node as a second level fluctuation level; the second level judgment mode meets the condition that the power transmission evaluation value is larger than the first preset power transmission evaluation value and smaller than or equal to a second preset power transmission evaluation value preset in the judgment module, and the second preset power transmission evaluation value is larger than the first preset power transmission evaluation value;
The third level judgment mode is that the judgment module judges that the fluctuation range of the node under the time node does not accord with a preset fluctuation standard, and the voltage fluctuation level of the node at the time node is marked as a three-level fluctuation level; the third level judgment mode satisfies that the power transmission evaluation value is larger than the second preset power transmission evaluation value;
the first preset condition is that the data analysis module obtains the power transmission evaluation value of the single node under the corresponding time node according to the voltage value output by the voltage detector.
Further, the determining module counts, under a second preset condition, the number of voltage values of the second-level fluctuation level determined by a single node in the preset period and the number of voltage values of the third-level fluctuation level determined by the determining module, and determines a determining manner for whether the running state of the node in the preset period meets a preset standard, where:
the first judging mode is that the judging module judges that the running state of the node in the preset period accords with a preset standard; the first determination means satisfies that the total number of the voltage values determined as the secondary fluctuation level and the number of the voltage values determined as the tertiary fluctuation level is equal to or less than one third of the total number of the time nodes in the preset period;
The second judging mode is that the judging module judges that the running state of the node in the preset period does not meet the preset standard, and further judges whether the reason that the running state of the node in the preset period does not meet the preset standard is weather reason or not according to the environmental evaluation value of the node corresponding to the time node in the preset period, which is obtained by the data analysis unit; the second determination means satisfies that the total number of the voltage values determined as the secondary fluctuation class and the number of the voltage values determined as the tertiary fluctuation class is greater than one third of the total number of the time nodes in the preset period and the number of the voltage values determined as the secondary fluctuation class is greater than the number of the voltage values determined as the tertiary fluctuation class;
the third judging mode is that the judging module judges that the running state of the node in the preset period does not meet the preset standard, and further determines the reason that the running state in the preset period does not meet the preset standard according to the change condition of the power transmission evaluation value of each time node in the preset period of the node and the change condition of the adjacent power transmission evaluation value of the adjacent node adjacent to the node in the corresponding time node; the third determination means satisfies that the total number of the voltage values determined as the secondary fluctuation level and the number of the voltage values determined as the tertiary fluctuation level is greater than one third of the total number of the time nodes in the preset period and the number of the voltage values determined as the secondary fluctuation level is less than or equal to the number of the voltage values determined as the tertiary fluctuation level;
The second preset condition satisfies that the judging module completes judgment of the grade of the power transmission evaluation value of each time node in a preset period for a single node.
Further, for the environmental evaluation value of the ith node under the jth time node in the preset period, the data analysis module marks the environmental evaluation value as C ij Setting:
C ij ＝P ij 2 ×(α×T ij +β×S ij )
wherein P is ij Setting α=0.7 MPa for the air pressure of the node in the j-th time node, α being the temperature weight coefficient 2 /℃，T ij Setting β=0.6 MPa for the temperature of the environment where the node is located at the jth time node, β being the relative humidity weight coefficient 2 ，S ij And (3) the relative humidity of the environment of the node in the j-th time node is obtained.
Further, the determining module calculates an average value of the environmental evaluation values of the nodes in the preset period corresponding to the voltage values determined as the three-level fluctuation level in the second determining mode, and the determining module marks the average value as a three-level environmental evaluation average value and determines whether the reason that the running state of the node in the preset period does not meet the preset standard is a weather determining mode of weather reason according to the three-level environmental evaluation average value, wherein:
The first weather judging mode is that the judging module judges that the reason that the running state of the node in the preset period does not accord with the preset standard is weather reason, and the judging module acquires the average value of weather evaluation values of the node in each time node in the history period from the data storage module and adjusts each preset power transmission evaluation value to a corresponding value; the first weather judgment mode meets the condition that the three-level environment evaluation average value is larger than a preset environment evaluation average value set in the judgment module;
the second weather judgment mode is that the judgment module judges that the reason that the running state of the node in the preset period does not meet the preset standard is non-weather reasons and preliminarily judges that the power transmission efficiency of the node does not meet the preset power transmission standard, and the judgment module counts the power transmission evaluation values of the node in each time node in the preset period to determine the change condition of the power transmission evaluation values of the node in the preset period and further judges the reason that the power transmission efficiency of the node does not meet the preset power transmission standard according to the change condition; and the second weather judgment mode meets the condition that the average value of the three-level environment evaluation is smaller than or equal to the preset environment evaluation average value set in the judgment module.
Further, the judging module compares the power transmission evaluation fluctuation value of the node in the preset period with the upstream power transmission evaluation fluctuation value of the adjacent node positioned at the upstream of the node in the same preset period in the third judging mode or the second weather judging mode, and determines whether the power transmission efficiency of the node does not meet the secondary judging mode of the preset power transmission standard according to the comparison result, wherein the power transmission evaluation fluctuation value is the difference value between the maximum value and the minimum value in the power transmission evaluation values of the node at each time node in the preset period:
the first secondary judgment mode is that the judgment module preliminarily judges whether the power transmission efficiency of the node does not meet the preset power transmission standard or not is caused by abnormal power transmission of the power grid, and the judgment module further judges whether the power grid transmits the power or not according to the voltage value of the node at a single time node in a single preset period and the voltage value of the adjacent node at a corresponding time node in the same preset period; the first secondary judgment mode meets the condition that the absolute value of the difference value between the power transmission evaluation fluctuation value and the upstream power transmission evaluation fluctuation value is smaller than or equal to a preset power transmission evaluation fluctuation difference value;
the second secondary judging mode is that the judging module judges whether the power transmission efficiency of the node does not accord with the preset power transmission standard or not because the power transmission voltage of the node is abnormal and a node power transmission abnormality alarm is sent out; the second secondary judgment mode satisfies that the absolute value of the difference between the power transmission evaluation fluctuation value and the upstream power transmission evaluation fluctuation value is larger than the preset power transmission evaluation fluctuation difference value.
Further, the determining module determines, in the first secondary determining manner, a power grid abnormality determining manner whether power grid power transmission is abnormal according to an average value of voltage time sequence difference values of the node and an adjacent node located upstream of the node, where:
the first power grid abnormality judging mode is that the judging module judges that the voltage fluctuation in the power grid is transmitted and judges that the power grid is abnormal in power transmission, and the judging module sends out power grid abnormal alarm; the first power grid abnormality judgment mode meets the condition that the average value of the voltage time sequence differences is smaller than or equal to the preset average value of the voltage time sequence differences set by the judgment module;
the second power grid abnormality judging mode is that the judging module judges that the voltage fluctuation in the power grid is not transmitted and judges that the reason that the power transmission efficiency of the node in a preset period does not accord with a preset standard is node power transmission abnormality, and the judging module sends out power grid power transmission abnormality alarm; the second power grid abnormality judgment mode meets the condition that the average value of the voltage time sequence differences is larger than the preset average value of the voltage time sequence differences set by the judgment module.
Further, for the voltage timing difference of the kth time node in the preset period of the ith node, k=3, 4,5, …, the n decision module marks this as Δu ik Setting DeltaU ik ＝U ik ―U (i―1)(k―2) Setting the average value delta of the voltage time sequence difference between the node and the adjacent node upstream of the node
Further, the determining module determines, in the first atmospheric determining manner, an adjustment manner for each preset power transmission evaluation value according to a historical environmental evaluation average value, where the historical environmental evaluation average value is an average value of environmental evaluation values of the environment where the node is located in the historical data stored by the determining module according to the data storage module:
the first adjusting mode is that a first preset adjusting coefficient q1 preset in the service life of the judging module sequentially adjusts the first preset power transmission evaluation value and the second preset power transmission evaluation value to corresponding values, and q1 is more than 1 and less than 1.3; the first adjustment mode meets the condition that the historical environment evaluation average value is larger than a second preset environment evaluation average value set in the judging module;
the second adjustment mode is that the judging module does not adjust the first preset power transmission evaluation value and the second preset power transmission evaluation value; the third adjustment mode satisfies that the historical environmental evaluation average value is smaller than or equal to the second preset environmental evaluation value and larger than the first preset environmental evaluation average value set in the judgment module, and the second preset environmental evaluation value is larger than the first preset environmental evaluation value;
The third adjusting mode is that a second preset adjusting coefficient q2 preset in the service life of the judging module sequentially adjusts the first preset power transmission evaluation value and the second preset power transmission evaluation value to corresponding values, and q2 is more than 0.8 and less than 1; the third adjustment mode satisfies that the historical environmental evaluation average value is larger than the first preset environmental evaluation average value.
Compared with the prior art, the method has the beneficial effects that the voltage value and the environment parameter of each node in the power grid under the corresponding time node are collected, the data are comprehensively calculated through the data analysis module to obtain the power transmission evaluation value and the environment evaluation value which are taken as the judgment references, the running state of the power grid can be comprehensively evaluated from two aspects of the dynamic parameters in the power grid and the surrounding environment where the power grid is located, the analysis precision of the method for the power grid is effectively improved, the analysis efficiency of the method for the running process of the power grid is effectively improved, meanwhile, the actual environment where the power grid is located can be effectively determined by combining the historical running data stored in the data storage module, so that the influence of the environment where the node is located on the analysis result is avoided by carrying out targeted correction on the judgment references, and the analysis precision of the power grid is further improved, and the analysis efficiency of the running process of the power grid is further improved.
Furthermore, the data analysis module obtains the power transmission evaluation value of each node in the corresponding time node by using a specific formula and transmits the power transmission evaluation value to the judgment module, so that the judgment module can rapidly and accurately analyze the voltage fluctuation condition of each node under the corresponding time node, thereby completing the analysis of the running state of each node, further improving the analysis precision of the invention for a power grid and further improving the analysis efficiency of the invention for the running process of the power grid.
Further, the judging module sequentially judges the grades of the power transmission evaluation values of the nodes in different time nodes by using preset power transmission evaluation values, and the judgment of the running state of the power grid can be effectively completed by primarily dividing the power transmission evaluation values of the nodes in different time nodes.
Further, the judging module is used for completing judgment of the running states of all nodes in a preset period by counting the power transmission evaluation values of different levels, and can quickly complete preliminary determination of reasons that the running states of the single node do not meet preset standards when judging that the running states of the single node do not meet the preset standards while accurately completing preliminary judgment of the running states of all nodes in the power grid.
Furthermore, the invention obtains the environmental evaluation value of the node in the time node according to the environmental parameters of the environment of the node in a single time node by using the data analysis module, and can quickly and accurately determine whether the node operation state abnormality is related to the environment of the node by using the environmental evaluation value, thereby effectively avoiding the influence of the environment on the judgment result, further improving the analysis precision of the invention on the power grid and further improving the analysis efficiency of the invention on the power grid operation process.
Further, the judging module determines whether the reason that the running state of the node in the preset period does not meet the preset standard is the weather judging mode of the weather reason according to the three-level environment evaluating average value, obtains the three-level environment evaluating average value for a single node by using the environment evaluating value and takes the three-level environment evaluating average value as the judging standard for judging whether the reason that the running state of the node in the preset period does not meet the preset standard is the weather reason, can rapidly and accurately judge whether the node is affected by the environment in the running process, and further improves the analysis precision of the power grid while effectively avoiding the influence of the environment on the judging precision of the running state of the node.
Further, the judging module compares the power transmission evaluation fluctuation value of the node in the preset period with the upstream power transmission evaluation fluctuation value of the adjacent node positioned upstream of the node in the same preset period, determines whether the power transmission efficiency of the node does not meet the preset power transmission standard according to the comparison result, and determines the reason that the node running state does not meet the preset standard according to the power transmission evaluation fluctuation value of the adjacent node in the same period.
Furthermore, the judging module determines the adjustment mode of each preset power transmission evaluation value according to the historical environment evaluation average value, and the actual environment where the power grid is located can be effectively determined by combining the historical operation data stored in the data storage module, so that the influence of the environment where the node is located on an analysis result is avoided by carrying out targeted correction on the judging standard, the analysis precision of the power grid is further improved, and the analysis efficiency of the power grid operation process is further improved.
Drawings
Fig. 1 is a block diagram of a smart grid big data analysis system according to an embodiment of the present invention;
fig. 2 is a flowchart of a level determination method in which the determination module determines a voltage fluctuation level of an ith node at a jth time node in a preset period according to a power transmission evaluation value of the node at the time node;
FIG. 3 is a flowchart of a weather determination method in which the determining module determines whether the reason that the running state of the node in the preset period does not meet the preset standard is a weather reason according to the three-level environmental evaluation average value;
fig. 4 is a flowchart of an adjustment mode of determining each preset power transmission evaluation value by the determination module according to the historical environmental evaluation average value according to the embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, fig. 2, fig. 3, and fig. 4, which are respectively a block diagram of a big data analysis system of a smart grid according to an embodiment of the present invention, a grade determination mode flowchart of determining a voltage fluctuation grade of an ith node at a jth time node in a preset period according to a power transmission evaluation value of the ith node at the time node, a weather determination mode flowchart of determining whether a reason that an operation state of the node in the preset period does not meet a preset standard is a weather reason according to a three-level environment evaluation average value, and an adjustment mode flowchart of determining each preset power transmission evaluation value according to a historical environment evaluation average value by the determination module; the embodiment of the invention provides a smart grid big data analysis system, which comprises:
The data acquisition module comprises a plurality of voltage detectors which are arranged at corresponding nodes in the power grid to acquire the voltage of each node in the running process of the power grid and a plurality of weather detectors which are arranged at each node to acquire the environmental parameters of each node, wherein the environmental parameters comprise the temperature, the relative humidity and the air pressure of the environment of each node;
the data analysis module is respectively connected with each voltage detector and each climate detector and is used for obtaining the power transmission evaluation value of each node at each time node in a preset period and obtaining the environment evaluation value of each node under the corresponding time node according to the environment parameters of the environment of the node under the time node;
the judging module is connected with the rest of the data analysis modules and is used for receiving the power transmission evaluation value of each node corresponding to the time node in the preset period output by the data analysis module to judge whether the operation state of each node in the preset period meets the preset standard in sequence, judging whether the reason that the operation state of each time node in the preset period does not meet the preset standard is weather reason according to the environment evaluation value of each time node in the preset period when the operation state of a single node in the preset period is primarily judged to be not met with the preset standard, judging whether the evaluation standard aiming at the environment evaluation value is regulated according to historical data when the operation state of the node in the preset period is judged to be not met with the weather reason, and further determining the reason that the operation state of the node in the preset period does not meet the preset standard according to the power transmission evaluation value of each time node in the preset period and the adjacent power transmission evaluation value of the adjacent node in the corresponding time node in the preset period when the operation state of the node is judged to be not met with the non-weather reason;
The data storage module is respectively connected with the data acquisition module, the data analysis module and the judging module and is used for respectively receiving and storing the voltage value and the environment parameter of each node corresponding to the time node transmitted by the data acquisition module, the power transmission evaluation value and the environment evaluation value of each node corresponding to the time node transmitted by the data analysis module and the judging result and the adjusting instruction transmitted by the judging module.
Specifically, for the transmission evaluation value of the ith node at the jth time node in the preset period, the data analysis module marks it as R ij Wherein i=1, 2,3, …, m, m is the total number of nodes to be detected in the power grid, j=3, 4,5, …, n, n is the total number of time nodes to be detected in a single preset period of a single node, and the following is set:
wherein U is ij For the voltage value of the ith node measured by the voltage detector under the jth time node in the preset period, U i0 A reference voltage value, U, for the ith node preset for the decision module i(j-1) For the voltage value of the ith node measured by the voltage detector at the jth-1 time node in the preset period, U i(j-2) For the voltage value of the i-th node measured by the voltage detector at the j-2 th time node in the preset period.
Specifically, the determining module determines, under a first preset condition, a level determining manner of a voltage fluctuation level of an ith node in a preset period according to a power transmission evaluation value of the ith node in the time node, where:
the first level judging mode is that the judging module judges that the fluctuation range of the node under the time node meets a preset fluctuation standard, and the voltage fluctuation level of the node at the time node is marked as a first level fluctuation level; the first level judgment mode meets the condition that the power transmission evaluation value is smaller than or equal to a first preset power transmission evaluation value preset in the judgment module;
the second level judgment mode is that the judgment module judges that the fluctuation range of the node under the time node does not accord with a preset fluctuation standard, and marks the voltage fluctuation level of the node at the time node as a second level fluctuation level; the second level judgment mode meets the condition that the power transmission evaluation value is larger than the first preset power transmission evaluation value and smaller than or equal to a second preset power transmission evaluation value preset in the judgment module, and the second preset power transmission evaluation value is larger than the first preset power transmission evaluation value;
The third level judgment mode is that the judgment module judges that the fluctuation range of the node under the time node does not accord with a preset fluctuation standard, and the voltage fluctuation level of the node at the time node is marked as a three-level fluctuation level; the third level judgment mode satisfies that the power transmission evaluation value is larger than the second preset power transmission evaluation value;
the first preset condition is that the data analysis module obtains the power transmission evaluation value of the single node under the corresponding time node according to the voltage value output by the voltage detector.
Specifically, the determining module counts, under a second preset condition, the number of voltage values of the second-level fluctuation level and the number of voltage values of the third-level fluctuation level determined by a single node in the preset period, and determines a determining manner for determining whether an operation state of the node in the preset period meets a preset standard, where:
the first judging mode is that the judging module judges that the running state of the node in the preset period accords with a preset standard; the first determination means satisfies that the total number of the voltage values determined as the secondary fluctuation level and the number of the voltage values determined as the tertiary fluctuation level is equal to or less than one third of the total number of the time nodes in the preset period;
The second judging mode is that the judging module judges that the running state of the node in the preset period does not meet the preset standard, and further judges whether the reason that the running state of the node in the preset period does not meet the preset standard is weather reason or not according to the environmental evaluation value of the node corresponding to the time node in the preset period, which is obtained by the data analysis unit; the second determination means satisfies that the total number of the voltage values determined as the secondary fluctuation class and the number of the voltage values determined as the tertiary fluctuation class is greater than one third of the total number of the time nodes in the preset period and the number of the voltage values determined as the secondary fluctuation class is greater than the number of the voltage values determined as the tertiary fluctuation class;
the third judging mode is that the judging module judges that the running state of the node in the preset period does not meet the preset standard, and further determines the reason that the running state in the preset period does not meet the preset standard according to the change condition of the power transmission evaluation value of each time node in the preset period of the node and the change condition of the adjacent power transmission evaluation value of the adjacent node adjacent to the node in the corresponding time node; the third determination means satisfies that the total number of the voltage values determined as the secondary fluctuation level and the number of the voltage values determined as the tertiary fluctuation level is greater than one third of the total number of the time nodes in the preset period and the number of the voltage values determined as the secondary fluctuation level is less than or equal to the number of the voltage values determined as the tertiary fluctuation level;
The second preset condition satisfies that the judging module completes judgment of the grade of the power transmission evaluation value of each time node in a preset period for a single node.
Specifically, for the environmental evaluation value of the ith node at the jth time node in the preset period, the data analysis module marks it as C ij Setting:
C ij ＝P ij 2 ×(α×T ij +β×S ij )
wherein P is ij Setting α=0.7 MPa for the air pressure of the node in the j-th time node, α being the temperature weight coefficient 2 /℃，T ij Setting β=0.6 MPa for the temperature of the environment where the node is located at the jth time node, β being the relative humidity weight coefficient 2 ，S ij And (3) the relative humidity of the environment of the node in the j-th time node is obtained.
Specifically, the determining module calculates, in the second determining manner, an average value of environmental evaluation values of the nodes in a preset period corresponding to the voltage values determined as three-level fluctuation levels, and the determining module marks the average value as a three-level environmental evaluation average value and determines, according to the three-level environmental evaluation average value, whether the reason that the running state of the node in the preset period does not meet the preset standard is a weather determining manner of weather reason, wherein:
The first weather judging mode is that the judging module judges that the reason that the running state of the node in the preset period does not accord with the preset standard is weather reason, and the judging module acquires the average value of weather evaluation values of the node in each time node in the history period from the data storage module and adjusts each preset power transmission evaluation value to a corresponding value; the first weather judgment mode meets the condition that the three-level environment evaluation average value is larger than a preset environment evaluation average value set in the judgment module;
the second weather judgment mode is that the judgment module judges that the reason that the running state of the node in the preset period does not meet the preset standard is non-weather reasons and preliminarily judges that the power transmission efficiency of the node does not meet the preset power transmission standard, and the judgment module counts the power transmission evaluation values of the node in each time node in the preset period to determine the change condition of the power transmission evaluation values of the node in the preset period and further judges the reason that the power transmission efficiency of the node does not meet the preset power transmission standard according to the change condition; and the second weather judgment mode meets the condition that the average value of the three-level environment evaluation is smaller than or equal to the preset environment evaluation average value set in the judgment module.
Specifically, the judging module compares the power transmission evaluation fluctuation value of the node in the preset period with the upstream power transmission evaluation fluctuation value of the adjacent node positioned upstream of the node in the same preset period in the third judging mode or the second weather judging mode, and determines whether the power transmission efficiency of the node does not meet the preset power transmission standard according to the comparison result, wherein the power transmission evaluation fluctuation value is the difference value between the maximum value and the minimum value in the power transmission evaluation values of the node in each time node in the preset period:
the first secondary judgment mode is that the judgment module preliminarily judges whether the power transmission efficiency of the node does not meet the preset power transmission standard or not is caused by abnormal power transmission of the power grid, and the judgment module further judges whether the power grid transmits the power or not according to the voltage value of the node at a single time node in a single preset period and the voltage value of the adjacent node at a corresponding time node in the same preset period; the first secondary judgment mode meets the condition that the absolute value of the difference value between the power transmission evaluation fluctuation value and the upstream power transmission evaluation fluctuation value is smaller than or equal to a preset power transmission evaluation fluctuation difference value;
the second secondary judging mode is that the judging module judges whether the power transmission efficiency of the node does not accord with the preset power transmission standard or not because the power transmission voltage of the node is abnormal and a node power transmission abnormality alarm is sent out; the second secondary judgment mode satisfies that the absolute value of the difference between the power transmission evaluation fluctuation value and the upstream power transmission evaluation fluctuation value is larger than the preset power transmission evaluation fluctuation difference value.
Specifically, the determining module determines, in the first secondary determining manner, a power grid abnormality determining manner whether power grid power transmission is abnormal according to an average value of voltage time sequence difference values of the node and a neighboring node located upstream of the node, where:
the first power grid abnormality judging mode is that the judging module judges that the voltage fluctuation in the power grid is transmitted and judges that the power grid is abnormal in power transmission, and the judging module sends out power grid abnormal alarm; the first power grid abnormality judgment mode meets the condition that the average value of the voltage time sequence differences is smaller than or equal to the preset average value of the voltage time sequence differences set by the judgment module;
the second power grid abnormality judging mode is that the judging module judges that the voltage fluctuation in the power grid is not transmitted and judges that the reason that the power transmission efficiency of the node in a preset period does not accord with a preset standard is node power transmission abnormality, and the judging module sends out power grid power transmission abnormality alarm; the second power grid abnormality judgment mode meets the condition that the average value of the voltage time sequence differences is larger than the preset average value of the voltage time sequence differences set by the judgment module.
Specifically, for the voltage timing difference of the kth time node in the preset period of the ith node, k=3, 4,5, …, which is recorded as Δu by the n-decision module ik Setting DeltaU ik ＝U ik ―U (i―1)(k―2) Setting the average value delta of the voltage time sequence difference between the node and the adjacent node upstream of the node
Specifically, the determining module determines, in the first atmospheric determining manner, an adjustment manner for each preset power transmission evaluation value according to a historical environmental evaluation average value, where the historical environmental evaluation average value is an average value of environmental evaluation values of the environment where the node is located in the historical data stored by the determining module according to the data storage module:
the first adjusting mode is that a first preset adjusting coefficient q1 preset in the service life of the judging module sequentially adjusts the first preset power transmission evaluation value and the second preset power transmission evaluation value to corresponding values, and q1 is more than 1 and less than 1.3; the first adjustment mode meets the condition that the historical environment evaluation average value is larger than a second preset environment evaluation average value set in the judging module;
the second adjustment mode is that the judging module does not adjust the first preset power transmission evaluation value and the second preset power transmission evaluation value; the third adjustment mode satisfies that the historical environmental evaluation average value is smaller than or equal to the second preset environmental evaluation value and larger than the first preset environmental evaluation average value set in the judgment module, and the second preset environmental evaluation value is larger than the first preset environmental evaluation value;
The third adjusting mode is that a second preset adjusting coefficient q2 preset in the service life of the judging module sequentially adjusts the first preset power transmission evaluation value and the second preset power transmission evaluation value to corresponding values, and q2 is more than 0.8 and less than 1; the third adjustment mode satisfies that the historical environmental evaluation average value is larger than the first preset environmental evaluation average value.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A smart grid big data analysis system, comprising:
the data acquisition module comprises a plurality of voltage detectors which are arranged at corresponding nodes in the power grid to acquire the voltage of each node in the running process of the power grid and a plurality of weather detectors which are arranged at each node to acquire the environmental parameters of each node, wherein the environmental parameters comprise the temperature, the relative humidity and the air pressure of the environment of each node;
the data analysis module is respectively connected with each voltage detector and each climate detector and is used for obtaining the power transmission evaluation value of each node at each time node in a preset period and obtaining the environment evaluation value of each node under the corresponding time node according to the environment parameters of the environment of the node under the time node;
the judging module is connected with the rest of the data analysis modules and is used for receiving the power transmission evaluation value of each node corresponding to the time node in the preset period output by the data analysis module to judge whether the operation state of each node in the preset period meets the preset standard in sequence, judging whether the reason that the operation state of each time node in the preset period does not meet the preset standard is weather reason according to the environment evaluation value of each time node in the preset period when the operation state of a single node in the preset period is primarily judged to be not met with the preset standard, judging whether the evaluation standard aiming at the environment evaluation value is regulated according to historical data when the operation state of the node in the preset period is judged to be not met with the weather reason, and further determining the reason that the operation state of the node in the preset period does not meet the preset standard according to the power transmission evaluation value of each time node in the preset period and the adjacent power transmission evaluation value of the adjacent node in the corresponding time node in the preset period when the operation state of the node is judged to be not met with the non-weather reason;
The data storage module is respectively connected with the data acquisition module, the data analysis module and the judging module and is used for respectively receiving and storing the voltage value and the environment parameter of each node corresponding to the time node transmitted by the data acquisition module, the power transmission evaluation value and the environment evaluation value of each node corresponding to the time node transmitted by the data analysis module and the judging result and the adjusting instruction transmitted by the judging module.
2. The smart grid big data analysis system of claim 1, wherein for the transmission evaluation value of the ith node at the jth time node in the preset period, the data analysis module marks it as R ij Wherein i=1, 2,3, …, m, m is the total number of nodes to be detected in the power grid, j=3, 4,5, …, n, n is the total number of time nodes to be detected in a single preset period of a single node, and the following is set:
wherein U is ij For the voltage value of the ith node measured by the voltage detector under the jth time node in the preset period, U i0 A reference voltage value, U, for the ith node preset for the decision module i(j-1) For the voltage value of the ith node measured by the voltage detector at the jth-1 time node in the preset period, U i(j-2) For the voltage value of the i-th node measured by the voltage detector at the j-2 th time node in the preset period.
3. The smart grid big data analysis system according to claim 2, wherein the determining module determines, under a first preset condition, a level determining manner of a voltage fluctuation level of an ith node under a jth time node in the preset period according to a power transmission evaluation value of the node under the time node, wherein:
the first level judging mode is that the judging module judges that the fluctuation range of the node under the time node meets a preset fluctuation standard, and the voltage fluctuation level of the node at the time node is marked as a first level fluctuation level; the first level judgment mode meets the condition that the power transmission evaluation value is smaller than or equal to a first preset power transmission evaluation value preset in the judgment module;
the second level judgment mode is that the judgment module judges that the fluctuation range of the node under the time node does not accord with a preset fluctuation standard, and marks the voltage fluctuation level of the node at the time node as a second level fluctuation level; the second level judgment mode meets the condition that the power transmission evaluation value is larger than the first preset power transmission evaluation value and smaller than or equal to a second preset power transmission evaluation value preset in the judgment module, and the second preset power transmission evaluation value is larger than the first preset power transmission evaluation value;
The third level judgment mode is that the judgment module judges that the fluctuation range of the node under the time node does not accord with a preset fluctuation standard, and the voltage fluctuation level of the node at the time node is marked as a three-level fluctuation level; the third level judgment mode satisfies that the power transmission evaluation value is larger than the second preset power transmission evaluation value;
the first preset condition is that the data analysis module obtains the power transmission evaluation value of the single node under the corresponding time node according to the voltage value output by the voltage detector.
4. The smart grid big data analysis system of claim 3, wherein the determination module counts the number of voltage values determined as the second level fluctuation level and the number of voltage values determined as the third level fluctuation level for a single node in the preset period under a second preset condition to determine a determination manner for whether an operation state of the node in the preset period meets a preset standard, wherein:
the first judging mode is that the judging module judges that the running state of the node in the preset period accords with a preset standard; the first determination means satisfies that the total number of the voltage values determined as the secondary fluctuation level and the number of the voltage values determined as the tertiary fluctuation level is equal to or less than one third of the total number of the time nodes in the preset period;
The second judging mode is that the judging module judges that the running state of the node in the preset period does not meet the preset standard, and further judges whether the reason that the running state of the node in the preset period does not meet the preset standard is weather reason or not according to the environmental evaluation value of the node corresponding to the time node in the preset period, which is obtained by the data analysis unit; the second determination means satisfies that the total number of the voltage values determined as the secondary fluctuation class and the number of the voltage values determined as the tertiary fluctuation class is greater than one third of the total number of the time nodes in the preset period and the number of the voltage values determined as the secondary fluctuation class is greater than the number of the voltage values determined as the tertiary fluctuation class;
the third judging mode is that the judging module judges that the running state of the node in the preset period does not meet the preset standard, and further determines the reason that the running state in the preset period does not meet the preset standard according to the change condition of the power transmission evaluation value of each time node in the preset period of the node and the change condition of the adjacent power transmission evaluation value of the adjacent node adjacent to the node in the corresponding time node; the third determination means satisfies that the total number of the voltage values determined as the secondary fluctuation level and the number of the voltage values determined as the tertiary fluctuation level is greater than one third of the total number of the time nodes in the preset period and the number of the voltage values determined as the secondary fluctuation level is less than or equal to the number of the voltage values determined as the tertiary fluctuation level;
The second preset condition satisfies that the judging module completes judgment of the grade of the power transmission evaluation value of each time node in a preset period for a single node.
5. The smart grid big data analysis system of claim 4, wherein for the environmental evaluation value of the ith node at the jth time node in the preset period, the data analysis module marks it as C ij Setting:
C ij ＝P ij 2 ×α×T ij +β×S ij
wherein P is ij Setting α=0.7 MPa for the air pressure of the node in the j-th time node, α being the temperature weight coefficient 2 /℃，T ij Setting β=0.6 MPa for the temperature of the environment where the node is located at the jth time node, β being the relative humidity weight coefficient 2 ，S ij And (3) the relative humidity of the environment of the node in the j-th time node is obtained.
6. The smart grid big data analysis system according to claim 5, wherein the determination module calculates an average value of the environmental evaluation values of the nodes in the preset period corresponding to the voltage value determined as the three-level fluctuation class in the second determination mode, the determination module marks the average value as the three-level environmental evaluation average value and determines whether the reason why the operation state of the node in the preset period does not meet the preset standard is a weather determination mode of weather reason according to the three-level environmental evaluation average value, wherein:
The first weather judging mode is that the judging module judges that the reason that the running state of the node in the preset period does not accord with the preset standard is weather reason, and the judging module acquires the average value of weather evaluation values of the node in each time node in the history period from the data storage module and adjusts each preset power transmission evaluation value to a corresponding value; the first weather judgment mode meets the condition that the three-level environment evaluation average value is larger than a preset environment evaluation average value set in the judgment module;
the second weather judgment mode is that the judgment module judges that the reason that the running state of the node in the preset period does not meet the preset standard is non-weather reasons and preliminarily judges that the power transmission efficiency of the node does not meet the preset power transmission standard, and the judgment module counts the power transmission evaluation values of the node in each time node in the preset period to determine the change condition of the power transmission evaluation values of the node in the preset period and further judges the reason that the power transmission efficiency of the node does not meet the preset power transmission standard according to the change condition; and the second weather judgment mode meets the condition that the average value of the three-level environment evaluation is smaller than or equal to the preset environment evaluation average value set in the judgment module.
7. The smart grid big data analysis system according to claim 6, wherein the determining module compares, in the third determining manner or the second weather determining manner, the power transmission evaluation fluctuation value of the node in the preset period with the upstream power transmission evaluation fluctuation value of the adjacent node located upstream of the node in the same preset period, and determines whether the power transmission efficiency of the node does not meet the preset power transmission standard according to the comparison result, where the power transmission evaluation fluctuation value is a difference between a maximum value and a minimum value in the power transmission evaluation values of the node in each time node in the preset period:
the first secondary judgment mode is that the judgment module preliminarily judges whether the power transmission efficiency of the node does not meet the preset power transmission standard or not is caused by abnormal power transmission of the power grid, and the judgment module further judges whether the power grid transmits the power or not according to the voltage value of the node at a single time node in a single preset period and the voltage value of the adjacent node at a corresponding time node in the same preset period; the first secondary judgment mode meets the condition that the absolute value of the difference value between the power transmission evaluation fluctuation value and the upstream power transmission evaluation fluctuation value is smaller than or equal to a preset power transmission evaluation fluctuation difference value;
The second secondary judging mode is that the judging module judges whether the power transmission efficiency of the node does not accord with the preset power transmission standard or not because the power transmission voltage of the node is abnormal and a node power transmission abnormality alarm is sent out; the second secondary judgment mode satisfies that the absolute value of the difference between the power transmission evaluation fluctuation value and the upstream power transmission evaluation fluctuation value is larger than the preset power transmission evaluation fluctuation difference value.
8. The smart grid big data analysis system of claim 7, wherein the determination module determines a grid anomaly determination mode of whether the grid power transmission is anomalous based on an average of voltage timing differences between the node and a neighboring node located upstream of the node in the first secondary determination mode, wherein:
the first power grid abnormality judging mode is that the judging module judges that the voltage fluctuation in the power grid is transmitted and judges that the power grid is abnormal in power transmission, and the judging module sends out power grid abnormal alarm; the first power grid abnormality judgment mode meets the condition that the average value of the voltage time sequence differences is smaller than or equal to the preset average value of the voltage time sequence differences set by the judgment module;
the second power grid abnormality judging mode is that the judging module judges that the voltage fluctuation in the power grid is not transmitted and judges that the reason that the power transmission efficiency of the node in a preset period does not accord with a preset standard is node power transmission abnormality, and the judging module sends out power grid power transmission abnormality alarm; the second power grid abnormality judgment mode meets the condition that the average value of the voltage time sequence differences is larger than the preset average value of the voltage time sequence differences set by the judgment module.
9. The smart grid big data analysis system of claim 8, wherein for the voltage timing difference of the kth time node in the preset period for the ith node, k=3, 4,5, …, the n decision module marks it as Δu ik Setting DeltaU ik ＝U ik ―U (i―1)(k―2) Setting average value of voltage time sequence difference between the node and adjacent node located at upstream of the node
10. The smart grid big data analysis system according to claim 6, wherein the determination module determines, in the first atmospheric determination mode, an adjustment mode for each of the preset power transmission evaluation values according to a historical environmental evaluation average value, where the historical environmental evaluation average value is an average value of environmental evaluation values for an environment in which the node is located in the historical data stored by the data storage module by the determination module:
the first adjusting mode is that a first preset adjusting coefficient q1 preset in the service life of the judging module sequentially adjusts the first preset power transmission evaluation value and the second preset power transmission evaluation value to corresponding values, and q1 is more than 1 and less than 1.3; the first adjustment mode meets the condition that the historical environment evaluation average value is larger than a second preset environment evaluation average value set in the judging module;
The second adjustment mode is that the judging module does not adjust the first preset power transmission evaluation value and the second preset power transmission evaluation value; the third adjustment mode satisfies that the historical environmental evaluation average value is smaller than or equal to the second preset environmental evaluation value and larger than the first preset environmental evaluation average value set in the judgment module, and the second preset environmental evaluation value is larger than the first preset environmental evaluation value;
the third adjusting mode is that a second preset adjusting coefficient q2 preset in the service life of the judging module sequentially adjusts the first preset power transmission evaluation value and the second preset power transmission evaluation value to corresponding values, and q2 is more than 0.8 and less than 1; the third adjustment mode satisfies that the historical environmental evaluation average value is larger than the first preset environmental evaluation average value.
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