CN113806420A - Power grid data monitoring method and device - Google Patents
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a power grid data monitoring method and a device, comprising the following steps: collecting power grid operation data of each power distribution network system in real time; receiving collected power grid operation data, performing order marking on each group of power grid operation data, and classifying according to the voltage grade of each power distribution network; comparing the real-time operation data of the power distribution network with a preset safety threshold value of the power distribution network operation data in a normal operation state of the power distribution network with a corresponding voltage grade, and judging whether the power distribution network has an abnormal condition or not; and alarming the power distribution network with the abnormal condition. According to the power grid data monitoring method and device, complex calculation of power grid operation data is not needed, whether the power distribution network is abnormal or not can be judged by comparing the real-time operation data of the power distribution network with the preset safety threshold value of the power grid operation data in the normal operation state of the power distribution network with the corresponding voltage class, high-efficiency monitoring of the power grid data is achieved, and high flexibility is achieved.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a power grid data monitoring method and device.
Background
Along with the development of power systems and communication technologies, the demand of the production and living field for electric power is increased year by year, the power distribution network is larger and wider in scale and range, and the power distribution network has the characteristics of multiple voltage levels, complex network structure, various equipment types, multiple and wide operation points, relatively poor safety environment and the like, so that the safety risk factors of the power distribution network are relatively more. In addition, the function of the power distribution network is to provide electric energy for various users, so that higher requirements are provided for safe and reliable operation of the power distribution network. Meanwhile, due to the increase of the number of the power distribution network and the users thereof and the frequent change of the power distribution network, the fault probability of the power distribution network is increased, the scheduling operation work is more complicated, the operation and maintenance workload is increased, and further challenges are provided in the aspects of safety and reliability. The traditional scheme of monitoring and managing the running state of the power grid by relying on a large amount of manpower has low efficiency and poor effect. Therefore, the specific situation of the power grid operation is monitored in real time through mass operation data generated by the power distribution network operation, the normal operation of the power distribution network is ensured, and the practical problem to be solved urgently by the power department is solved.
With the wide application of smart electric meters, the electric power data acquisition technology is relatively mature, and the existing power grid data monitoring scheme usually carries out complex calculation on the acquired electric power data so as to judge whether the running state of the power distribution network is normal or not, so that the power grid data monitoring is realized, however, a large amount of running data is generated during the running of the power distribution network, so that the memory and time of a system are consumed by data operation, and further, the power grid data monitoring efficiency is low.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides the power grid data monitoring method and the device, which do not need to perform complex calculation on the power grid operation data, realize the monitoring of the power grid data, improve the monitoring efficiency, and meanwhile, when the power distribution network has abnormal conditions, the power distribution network with the abnormal conditions can be timely found and quickly determined, corresponding operation state information is obtained, and a data basis is laid for abnormal restoration of the power distribution network.
In order to achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
a power grid data monitoring method comprises the following steps:
collecting power grid operation data of each power distribution network system in real time;
receiving collected power grid operation data, performing order marking on each group of power grid operation data, and classifying according to the voltage grade of each power distribution network;
comparing the real-time operation data of the power distribution network with a preset safety threshold value of the power distribution network operation data in a normal operation state of the power distribution network with a corresponding voltage grade, and judging whether the power distribution network has an abnormal condition or not;
and alarming the power distribution network with the abnormal condition.
According to the further technical scheme, the power grid operation data comprise power distribution network load electricity consumption, voltage, current, active power, reactive power, power factors and other data.
According to the further technical scheme, the power distribution network is divided into a high-voltage power distribution system of 35kV, 63kV and 110kV, a medium-voltage power distribution system of 6 kV-10 kV and 20kV, or a low-voltage power distribution system of 220V and 380V according to the voltage class.
According to the technical scheme, the step of judging whether the power distribution network has the abnormal condition comprises the step of judging that the power distribution network has the abnormal condition if the real-time operation data of the power distribution network is within the safety threshold range of the operation data of the power distribution network in the normal operation state of the power distribution network with the corresponding voltage class, and otherwise, judging that the power distribution network has the abnormal condition.
According to the technical scheme, the alarming for the abnormal power distribution network comprises the steps that when the abnormal condition exists in the power distribution network, alarming prompts are sent out in modes of ringing and the like, and workers are reminded that the power distribution network is abnormal in operation and needs to be processed immediately.
According to the further technical scheme, the alarming for the abnormal power distribution network further comprises the steps of storing corresponding real-time power distribution network operation data and displaying the sequence number and the real-time operation data of the abnormal power distribution network through visual equipment.
According to the further technical scheme, the alarming the abnormal power distribution network further comprises the steps of storing corresponding real-time power distribution network operation data, and transmitting the serial number and the real-time operation data of the abnormal power distribution network to the mobile terminal for alarming.
The invention provides a power grid data monitoring device, which comprises:
the data acquisition module is used for acquiring the power grid operation data of each power distribution network system in real time;
the data preprocessing module is used for receiving the collected power grid operation data, performing order marking on each group of power grid operation data, and classifying according to the voltage grade of each power distribution network;
the data monitoring module is used for comparing the real-time operation data of the power distribution network with a preset threshold value of the power distribution network operation data in the normal operation state of the power distribution network with the corresponding voltage grade, and judging whether the power distribution network has abnormal conditions or not;
and the alarm module is used for alarming the power distribution network with abnormal conditions.
The above one or more technical solutions have the following beneficial effects:
the invention provides a power grid data monitoring method and device, which can judge whether the power distribution network is abnormal or not by comparing real-time operation data of the power distribution network with a preset safety threshold of the power distribution network operation data in a normal operation state of the power distribution network with a corresponding voltage grade without performing complex calculation on the power grid operation data, thereby realizing high-efficiency monitoring on the power grid data.
The invention provides a power grid data monitoring method and device, which can find and quickly determine a power distribution network with abnormal conditions in time when the power distribution network has the abnormal conditions, acquire corresponding running state information and lay a data foundation for abnormal restoration of the power distribution network.
The invention provides a power grid data monitoring method and device, which can be used for monitoring the operation data of a plurality of power distribution networks.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is an overall flow chart of an embodiment of the present invention;
FIG. 2 is a block diagram of the overall structure of an embodiment of the present invention;
fig. 3 is a flowchart of a method for determining a safety threshold according to an embodiment of the present invention.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The general idea provided by the invention is as follows:
and comparing the collected real-time operation data of the power distribution network with a preset safety threshold value of the power distribution network operation data in the normal operation state of the power distribution network with the corresponding voltage grade, judging whether the power distribution network has an abnormal condition or not, and giving an alarm to the power distribution network with the abnormal condition.
Example one
The embodiment discloses a power grid data monitoring method, which comprises the following specific steps of collecting power grid operation data of each power distribution network system in real time as shown in fig. 1; receiving collected power grid operation data, performing order marking on each group of power grid operation data, and classifying according to the voltage grade of each power distribution network; comparing the real-time operation data of the power distribution network with a preset safety threshold value of the power distribution network operation data in a normal operation state of the power distribution network with a corresponding voltage grade, and judging whether the power distribution network has an abnormal condition or not; and alarming the power distribution network with the abnormal condition.
Specifically, the power distribution network has the characteristics of multiple voltage levels, complex network structure and the like, and as shown in fig. 2, when a plurality of power distribution networks exist, the data acquisition module acquires real-time power grid operation data of each power distribution network system, uploads corresponding operation data to the data preprocessing module, and preprocesses the acquired data.
The power grid operation data comprises data of load electricity consumption, voltage, current, active power, reactive power, power factors and the like of the power distribution network.
Further, the data preprocessing module receives the collected real-time operation data of the power grid, carries out a standard sequence on the operation data of each group of distribution networks, specifically marks the operation data of each group of distribution networks as a power distribution network 1, a power distribution network 2 and a power distribution network 3, and can determine the specific orientation information of the corresponding power distribution network according to the sequence number of the power distribution network when the power distribution network is abnormal.
Further, the voltage levels of the distribution networks are classified. In general, the grid voltage class can be generally divided into: the power distribution network is divided into five types, namely extra-high voltage (1000kV alternating current and more and +/-800 kV direct current), extra-high voltage (330kV and more to 1000kV and less), high voltage (35-220 kV), medium voltage (6-20 kV) and low voltage (0.4kV), in the embodiment, the power distribution network is divided into a high-voltage power distribution system with the voltage level of 35kV, 63kV and 110kV, a medium-voltage power distribution system with the voltage level of 6 kV-10 kV and 20kV, and a low-voltage power distribution system with the voltage level of 220V and 380V. If the distribution network 1 is a 35kV high-voltage distribution system, the distribution network 2 is a 220V low-voltage distribution system, and the distribution network 3 is a 35kV high-voltage distribution system, the distribution network 1 and the distribution network 3 are divided into a group according to the voltage class, and the distribution network 2 is divided into a group.
Further, the monitoring module compares the real-time operation data of the power distribution network with a preset safety threshold value of the power distribution network operation data in the normal operation state of the power distribution network with the corresponding voltage grade, and judges whether the power distribution network has an abnormal condition or not. Specifically, a power distribution system with the same voltage class as the power distribution network 1 and the power distribution network 3, namely a safety threshold of power grid operation data of the power distribution network of a 35kV high-voltage power distribution system in a normal operation state is found, wherein the safety threshold of the power grid operation data refers to upper and lower limit values of the power grid operation data capable of enabling the power distribution network to normally operate, if real-time operation data (power consumption, voltage, current, active power, reactive power, power factor and the like of the power distribution network in a load of the power distribution network) of the power distribution network are within a safety threshold range of the power grid operation data in the normal operation state of the power distribution network with the corresponding voltage class, it is judged that an abnormal condition does not exist in the power distribution network, and otherwise, it is judged that an abnormal condition exists in the power distribution network.
Further, the determination of the safety threshold of the power grid operation data in the preset normal operation state of the power distribution network comprises the following steps:
acquiring a historical operation data sample set of the power distribution network within a period of time;
determining the probability distribution obeyed by the historical operation data sample set to obtain a corresponding distribution function;
and determining a safety threshold value of the power grid operation data by using the distribution function.
The period of time refers to a certain period of time for operating the power distribution network, and can be set to 3 months, 6 months, 1 year and the like, and can be selected according to specific situations.
The process of acquiring the historical operation data sample set of the power distribution network is to acquire and store the historical operation data of the power distribution network as the historical operation data sample set.
The process of determining a probability distribution obeyed by the set of historical operational data samples comprises:
and determining the probability distribution obeyed by the historical operation data sample set by using a distributed fitting test method to obtain the distribution function.
The process of determining the threshold value of the index using the distribution function includes: and determining an alert threshold for the indicator using the distribution function.
Specifically, as shown in fig. 3, the method for determining a safety threshold according to the embodiment of the present invention includes:
step S11: and acquiring a historical operation data sample set of the power distribution network within a period of time.
Taking the method for determining the safety threshold of the current in the 35kV high-voltage distribution system as an example, the current data of the 35kV high-voltage distribution network within 6 months is obtained, which includes the current data in the normal operation state and the current data in the abnormal operation state.
Step S12: and determining the probability distribution obeyed by the historical operation data sample set to obtain a corresponding distribution function.
And processing the obtained sample set by using a distributed fitting inspection method, and determining a historical operation data sample set, namely the probability distribution obeyed by the current data to obtain a distribution function.
The distributed fitting test method is also called χ 2 test method in the prior art.
In this embodiment, the distribution function may be a normal distribution function, or a heavy tail distribution function.
Step S13: and determining a safety threshold value of the power grid operation data by using the distribution function.
According to the operation rule of the power distribution network, the power distribution network is in a normal operation state under normal conditions, the current operation data of the power distribution network is normal, and when the power distribution network is abnormal, the power distribution network operation data correspondingly changes. Specifically, taking current as an example, when the power distribution network operates normally, the current is usually at a stable value, and fluctuates in a small amplitude at the upper and lower parts of the stable value, and when the power distribution network has an abnormal condition, the current value is influenced to generate a large fluctuation, and the current suddenly drops or rises, so that the distribution function of the power distribution network historical operation data sample set of the obtained current is a normal distribution function, and the upper and lower limit current values corresponding to the probability of 90% in the distribution function are determined as the safety threshold, wherein the selection of the probability is set according to the specific condition.
According to the scheme for determining the safety threshold of the power grid operation data in the normal operation state of the power distribution network, the probability distribution rule of the power grid operation data value is reflected on the distribution function, so that the safety threshold determined by the distribution function can be more reasonable and reliable.
Further, when the power distribution network data is monitored to be abnormal, an alarm is given to the abnormal power distribution network, an alarm prompt is sent out in a ringing mode and the like, and workers are reminded that the power distribution network is abnormal in operation and need to be processed immediately.
Further, when the power distribution network data are monitored to be abnormal, corresponding real-time power distribution network operation data are stored, the serial number of the abnormal power distribution network and the real-time operation data are displayed through visual equipment, and the serial number of the abnormal power distribution network and the real-time operation data are transmitted to the mobile terminal for alarming; specifically, supposing that the real-time operation data of the power grid of the power distribution network 1 is abnormal, the real-time operation data of the power grid of the power distribution network 1 is stored, the power distribution network 1 and the corresponding operation data are displayed through the visualization device, and meanwhile, the serial number and the real-time operation data of the abnormal power distribution network are transmitted to the mobile terminal to give an alarm, so that a worker can know the abnormal power distribution network and the specific operation condition of the abnormal power distribution network in time.
According to the power grid data monitoring method and device, complex calculation of power grid operation data is not needed, whether the power distribution network is abnormal or not can be judged by comparing the real-time operation data of the power distribution network with the preset safety threshold value of the power grid operation data in the normal operation state of the power distribution network with the corresponding voltage class, and high-efficiency monitoring of the power grid data is achieved.
According to the power grid data monitoring method and device, when the power distribution network is abnormal, the power distribution network with the abnormal condition can be found in time and rapidly determined, corresponding running state information is obtained, and a data base is laid for abnormal restoration of the power distribution network.
According to the power grid data monitoring method and device, the operation data of the plurality of power distribution networks are monitored, when the operation data of other power distribution networks are required to be monitored, the power distribution networks are directly merged, extra operation is not required, and the flexibility of power grid data monitoring is improved.
Example two
The purpose of this embodiment is to provide a power grid data monitoring device, which is implemented based on the method in the first embodiment, and includes:
the data acquisition module is used for acquiring the power grid operation data of each power distribution network system in real time;
the data preprocessing module is used for receiving the collected power grid operation data, performing order marking on each group of power grid operation data, and classifying according to the voltage grade of each power distribution network;
the data monitoring module is used for comparing the real-time operation data of the power distribution network with a preset threshold value of the power distribution network operation data in the normal operation state of the power distribution network with the corresponding voltage grade, and judging whether the power distribution network has abnormal conditions or not;
and the alarm module is used for alarming the power distribution network with abnormal conditions.
Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using general purpose computer means, or alternatively, they can be implemented using program code that is executable by computing means, such that they are stored in memory means for execution by the computing means, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps of them are fabricated into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A power grid data monitoring method is characterized by comprising the following steps:
collecting power grid operation data of each power distribution network system in real time;
receiving collected power grid operation data, performing order marking on each group of power grid operation data, and classifying according to the voltage grade of each power distribution network;
comparing the real-time operation data of the power distribution network with a preset safety threshold value of the power distribution network operation data in a normal operation state of the power distribution network with a corresponding voltage grade, and judging whether the power distribution network has an abnormal condition or not;
and alarming the power distribution network with the abnormal condition.
2. A method as claimed in claim 1, wherein the grid operating data includes load consumption, voltage, current, active power, reactive power, and power factor of the distribution grid.
3. A method as claimed in claim 1, wherein the distribution network is divided into a high voltage distribution system of 35kV, 63kV and 110kV, a medium voltage distribution system of 6 kV-10 kV and 20kV, and a low voltage distribution system of 220V and 380V according to voltage class.
4. The method according to claim 1, wherein the determining whether the power distribution network has an abnormal condition comprises determining that the power distribution network has no abnormal condition if the real-time operation data of the power distribution network is within a safety threshold range of the operation data of the power distribution network in a normal operation state of the power distribution network with a corresponding voltage class, and otherwise determining that the power distribution network has an abnormal condition.
5. The power grid data monitoring method according to claim 1, wherein the alarming for the abnormal power distribution network comprises sending an alarm prompt in a mode of ringing or the like when the power distribution network is abnormal, and reminding workers that the power distribution network is abnormal in operation and needs to be processed immediately.
6. The method as claimed in claim 1, wherein the step of alarming the abnormal distribution network further comprises storing the corresponding real-time distribution network operation data, and displaying the serial number of the abnormal distribution network and the real-time operation data through a visualization device.
7. The method as claimed in claim 1, wherein the alarming the abnormal distribution network further comprises storing the corresponding real-time distribution network operation data, and transmitting the serial number of the abnormal distribution network and the real-time operation data to the mobile terminal for alarming.
8. A kind of electric wire netting data monitoring device, characterized by, including:
the data acquisition module is used for acquiring the power grid operation data of each power distribution network system in real time;
the data preprocessing module is used for receiving the collected power grid operation data, performing order marking on each group of power grid operation data, and classifying according to the voltage grade of each power distribution network;
the data monitoring module is used for comparing the real-time operation data of the power distribution network with a preset threshold value of the power distribution network operation data in the normal operation state of the power distribution network with the corresponding voltage grade, and judging whether the power distribution network has abnormal conditions or not;
and the alarm module is used for alarming the power distribution network with abnormal conditions.
9. A grid data monitoring device according to claim 8, wherein said determining whether an abnormal condition exists in the distribution network comprises determining that an abnormal condition does not exist in the distribution network if the real-time operation data of the distribution network is within a safety threshold of the operation data of the distribution network in a normal operation state of the distribution network at the corresponding voltage class, and otherwise determining that an abnormal condition exists in the distribution network.
10. A computer-readable storage medium characterized by: a plurality of instructions stored therein, the instructions being adapted to be loaded by a processor of a terminal device and to perform a grid data monitoring method according to any one of claims 1-7.
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Cited By (2)
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| CN115396279A (en) * | 2022-08-25 | 2022-11-25 | 国网辽宁省电力有限公司信息通信分公司 | Voltage on-line monitoring system and method for power grid and storage medium |
| CN115933508A (en) * | 2022-11-18 | 2023-04-07 | 珠海康晋电气股份有限公司 | Intelligent power operation and maintenance system for power distribution network |
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