CN117913797A - Power outage and transmission management system based on smart power grids - Google Patents
Power outage and transmission management system based on smart power grids Download PDFInfo
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Abstract
The invention discloses a power outage and transmission management system based on a smart grid, relates to the technical field of power dispatching, and aims to solve the problems that in the prior art, a power outage fault node cannot be found quickly under an unexpected power outage state, maintenance staff is selected for maintenance, so that the power outage time is long and the life of users in a power outage area is inconvenient; meanwhile, whether the electricity consumption is reasonable cannot be judged according to the analysis of the normal electricity consumption track of the user, so that the problems of user loss and poor experience caused by the fact that the user is unaware of excessive electricity consumption are avoided; by analyzing the fault nodes and fault reasons in the power failure area and selecting maintenance staff, inconvenience caused by long power failure time is avoided.
Description
Technical Field
The invention relates to the technical field of power dispatching, in particular to a power outage and transmission management system based on a smart grid.
Background
The intelligent power-on and power-off management system is an intelligent power dispatching system based on an informatization technology and power system management, and the existing power-on and power-off technology adopts an isolation power-off method when unexpected power failure occurs and informs maintenance personnel to perform fault diagnosis and maintenance on site; however, in the unexpected power failure state, the power failure fault node cannot be found quickly, and maintenance personnel can be selected for maintenance, so that the power failure time is long and the life of users in the power failure area is inconvenient; meanwhile, the power cut and transmission processing cannot be performed better through the payment condition of the user, whether the power consumption is reasonable or not cannot be judged according to the normal power track analysis of the user, and the excessive loss of electric quantity caused by the situation that the user is not aware of the excessive power consumption is avoided;
in order to solve the above-mentioned defect, a power outage and transmission management system based on a smart grid is provided.
Disclosure of Invention
The invention aims to solve the problems that the existing power outage and transmission management system cannot quickly find a power outage fault node and select maintenance personnel for maintenance under an unexpected power outage state, so that the power outage time is long, the life of a user in a power outage area is inconvenient, the power outage and transmission processing cannot be better performed through the payment condition of the user, whether the power utilization is reasonable or not cannot be judged according to the normal power utilization track analysis of the user, and the excessive loss of electric quantity is caused.
The aim of the invention can be achieved by the following technical scheme: the power outage and transmission management system based on the smart grid comprises a data acquisition module and a data storage module, wherein the data acquisition module acquires power utilization information and sends the power utilization information to the data storage module; the system also comprises a data storage module, an electricity analysis module, a fault analysis module and an execution module;
The data storage module selects and stores the received power consumption information into a storage terminal;
The power consumption analysis module is used for analyzing power consumption information of a user corresponding to the intelligent power grid to obtain a normal power consumption track of the user, monitoring the power consumption of the user according to the normal power consumption track, obtaining a power consumption abnormality signal of the user and a unpaid payments power-off signal, triggering power consumption abnormality notification operation when the power consumption abnormality signal of the user is generated, and sending the power consumption abnormality notification operation to the execution module when the power-off signal of unpaid payments is generated;
The fault analysis module is used for carrying out fault analysis on the power failure area to determine a fault node, judging the fault reason of the fault node according to the fault analysis result to obtain a short circuit fault node or a circuit break fault node, and sending the short circuit fault node or the circuit break fault node to the execution unit;
The execution module respectively carries out power outage control on the received power utilization abnormal signal, unpaid payments power-off signal and short-circuit fault node or open-circuit fault node, and specifically comprises the following steps:
When receiving unpaid payments power-off signals, the execution module performs isolation power-off operation on the user, invokes power-on information and sends payment notification; when a payment signal of a user is received and the payment amount is larger than or equal to unpaid payments, generating a payment power transmission signal and triggering power transmission operation to the user;
When an execution module receives a short-circuit fault node or a circuit break fault node, acquiring the area of a power failure area and the power consumption in the power failure area within one month, marking sm and wh, and obtaining a fault value Gu through a preset model Gu=gamma× (e1×sm+e2×wh), wherein e1 and e2 are preset weight coefficients respectively, and gamma is a preset correction coefficient;
the method comprises the steps of presetting fault intervals V1, V2 and V3, generating a primary power failure fault when a fault value is in the preset fault interval V1, generating a secondary power failure fault when the fault value is in the preset fault interval V2, and generating a tertiary power failure fault when the fault value is in the preset fault interval V3;
The method comprises the steps that a primary power failure fault, a secondary power failure fault and a tertiary power failure fault are preset, the number of maintenance staff is preset, and maintenance staff corresponding to the number of maintenance staff is selected to carry out maintenance according to the fault grade; and when receiving the maintenance completion confirmation signaling of the target staff, triggering the power transmission operation of the power failure area.
As a preferred embodiment of the present invention, the electricity consumption information includes electricity consumption information, user contact information, unpaid payments amount of the user, and unpaid payments time; the electricity consumption includes the daily electricity consumption of the user.
As a preferred embodiment of the present invention, the data storage module selects the target storage terminal for storing the received power consumption information, specifically:
acquiring a storage value of a storage terminal and a transmission distance between the storage terminal and a data acquisition module, and marking the storage terminal within a preset distance range as a primary storage terminal;
the stored value Zu and the transmission distance Lu of the primary storage terminal are passed through a preset model Obtaining a receiving value Jx, wherein a1 and a2 are preset weight coefficients respectively; and marking the storage terminal with the maximum receiving value as a target storage terminal, and sending the electricity consumption information to the target storage terminal for storage.
As a preferred embodiment of the present invention, the electricity consumption analysis unit analyzes electricity consumption of a user to obtain a normal electricity consumption track and monitors electricity consumption of the user according to the normal electricity consumption track, specifically:
step one: acquiring historical daily electricity consumption of a user, accumulating the historical daily electricity consumption of the user to obtain total electricity consumption of each month of the user, performing average operation on the total electricity consumption to obtain average electricity consumption of each month of the user, performing difference calculation on the daily electricity consumption of the user and the average electricity consumption of each day to obtain electricity consumption deviation, presetting an electricity consumption deviation interval, and marking the electricity consumption deviation within the preset electricity consumption deviation interval as standard electricity deviation; counting the number of standard electric differences, presetting the number of electric differences, and marking the average daily power consumption as the standard power consumption of the current month when the number of standard electric differences is larger than the preset number of electric differences;
Step two: the standard electricity consumption of all months in one year is obtained, the electricity consumption intervals W1, W2 and W3 are preset, when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as high-electricity consumption months, when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as medium-electricity consumption months, and when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as low-electricity consumption months; accumulating the standard electricity consumption corresponding to all high-consumption months and calculating the average value to obtain average high electricity consumption, accumulating the standard electricity consumption corresponding to all medium-consumption months and calculating the average value to obtain average medium electricity consumption, accumulating the standard electricity consumption corresponding to all low-consumption months and calculating the average value to obtain average low electricity consumption; marking the high-consumption month and the average high-consumption, the medium-consumption month and the average medium-consumption, and the low-consumption month and the average low-consumption as the normal electricity track of the user, and marking the average high-consumption, the average medium-consumption and the average low-consumption as the average track electricity consumption;
Step three: matching the current month with all the high-consumption months, medium-consumption months and low-consumption months to obtain average track power consumption corresponding to the month; the daily electricity consumption of the user is monitored in real time, and the daily electricity consumption is compared with the average track electricity consumption for analysis: and when the daily electricity consumption is larger than the average track electricity consumption number and the number of days is larger than the preset number of days, generating an electricity consumption abnormality signal.
Step four: the unpaid payments amount and unpaid payments time of the user are obtained and marked as rmb and time, and the user passes through a preset modelObtaining an undersensing value Qz, wherein b1 and b2 are respectively preset weight coefficients, and alpha is a preset correction coefficient; when unpaid payments is greater than the preset under payment value, generating unpaid payments a power-off signal.
As a preferred embodiment of the present invention, the fault analysis module performs fault analysis on the blackout area, specifically:
Step one: updating a normal three-phase voltage waveform diagram of the monitoring node: acquiring three-phase voltage of a monitoring node, calculating and displaying the three-phase voltage waveform of the node through an oscilloscope, capturing points outside the waveform, marking the points as abnormal points, counting the number of the abnormal points, and marking the abnormal points as normal three-phase voltage waveform of the monitoring node when the number of the abnormal points is smaller than the number of preset points; the updating time is preset, and the operation is repeated every time the preset updating time is reached to update the normal three-phase voltage waveform diagrams of the monitoring nodes so as to obtain updated normal three-phase voltage waveform diagrams of all the monitoring nodes in working;
Step two: matching each monitoring node in the power failure area with all monitoring nodes, calling a normal three-phase voltage waveform diagram of each monitoring node in the corresponding power failure area, performing waveform comparison with the three-phase voltage waveform diagram of each monitoring node in the power failure area, marking the monitoring node as a fault node when the waveforms are inconsistent, and returning to the previous stage to compare the voltage waveform diagrams of other two phases until the fault node in the power failure area is found when the waveforms are consistent;
step three: and detecting the voltage and the current at two ends of the fault node, generating a short-circuit fault node signal when the current is overlarge and the voltage is not available, and generating an open-circuit fault node signal when the voltage is available and the current is not available.
As a preferred implementation mode of the invention, the specific steps of selecting the corresponding number of maintenance staff to maintain according to the fault level are as follows:
Step one: obtaining maintenance staff information of the intelligent power grid, and sending a fault notification instruction to a mobile phone terminal of the maintenance staff to obtain the current position of the maintenance staff replying the confirmation instruction; marking the maintenance staff replying the confirmation instruction as a first maintenance staff; marking the time of sending the fault notification instruction to the first maintenance staff as notification time, marking the time of receiving the confirmation instruction replied by the first staff as reply time, and calculating the time difference between the notification time and the reply time to obtain feedback time;
Step two: obtaining the distance between a first maintenance staff and a fault node, and marking the distance as a maintenance distance; obtaining a feedback time length fs, a maintenance distance be and an effective sum value Xu through a preset model Obtaining a maintenance value Ve, wherein c1, c2 and c3 are respectively preset weight coefficients, and lambda is a preset correction coefficient; when the primary power failure fails, the number of the maintenance staff is n1, and the first maintenance staff with the top n1 positions of the maintenance value is marked as a target staff; when the secondary power failure fails, the number of the maintenance staff is n2, and the first maintenance staff with the maintenance value of n2 before the ranking is marked as target staff; when the three-level power failure fails, the number of the maintenance staff is n3, the first maintenance staff with the maintenance value of n3 ranked in front is marked as a target staff, and the position of a failure node and the failure cause are sent to a mobile terminal of a mobile phone of the target staff;
Step three: acquiring the moment when the position of the target staff coincides with the position of the fault node, marking the moment as the arrival moment, simultaneously sending a maintenance detail signaling to the mobile terminal of the mobile phone of the target staff and increasing the maintenance accumulated times of the target staff once; calculating the time difference between the arrival time and the reply time to obtain the path duration; acquiring maintenance accumulated times of target staff; the journey time ls, the maintenance accumulated times mu and the maintenance distance be pass through a preset model Obtaining an effective comprehensive value Xu; wherein d1 and d2 are respectively preset weight coefficients, and beta is a preset correction coefficient.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the method and the device for monitoring the power consumption of the intelligent power grid, the normal power consumption track is obtained through analyzing the power consumption of the user corresponding to the intelligent power grid, the power consumption of the user is monitored and judged according to the normal power consumption track, whether the power consumption of the user is abnormal or not is judged, and the notification operation is carried out on the user with abnormal power consumption, so that the power consumption is saved, and unnecessary electric energy waste caused by the fact that the user is unaware is avoided.
2. According to the invention, by analyzing the fault nodes and the fault reasons in the power failure area and dividing the power failure area into power failure fault grades, the fault nodes and the fault reasons are rapidly determined, the troubleshooting speed of the power failure fault reasons and the positions is improved, and a foundation is laid for rapidly solving the power failure.
3. According to the invention, maintenance staff is selected for maintenance through the fault level, the fault reason and the fault node, and when a maintenance completion confirmation signaling of a target staff is received, power transmission operation in a power failure area is triggered; the problem that users in a power failure area cannot conveniently live due to long power failure time caused by long maintenance time is solved, and the solving efficiency of unexpected power failure of faults is improved.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, a power outage and transmission management system based on a smart grid includes a data acquisition module, a data storage module, a power consumption analysis module, a fault analysis module and an execution module.
The data acquisition module acquires the power utilization information of a user corresponding to the intelligent power grid and sends the power utilization information to the data storage module for storage; wherein the electricity consumption information comprises daily electricity consumption of the user, contact information of the user, unpaid payments amount of the user and unpaid payments time.
The data storage module selects the storage terminal to store the received power consumption information, and specifically comprises the following steps:
acquiring a storage value of a storage terminal and a transmission distance between the storage terminal and a data acquisition module, and marking the storage terminal within a preset distance range as a primary storage terminal; the storage value is a numerical value corresponding to the size of the residual memory corresponding to the storage terminal;
extracting the corresponding values of the storage value Zu and the transmission distance Lu of the primary storage terminal, and substituting the values into a preset model Obtaining a receiving value Jx, wherein a1 and a2 are preset weight coefficients respectively; marking a storage terminal with the maximum receiving value as a target storage terminal, and sending the electricity consumption information to the target storage terminal for storage; the optimal electricity consumption information storage terminal is selected, so that the storage efficiency can be effectively improved.
The electricity consumption analysis unit is used for carrying out electricity consumption analysis on the electricity consumption of the user to obtain a normal electricity consumption track and monitoring the electricity consumption of the user according to the normal electricity consumption track, and specifically comprises the following steps:
step one: acquiring historical daily electricity consumption of a user, accumulating the historical daily electricity consumption of the user to obtain total electricity consumption of each month of the user, performing average operation on the total electricity consumption to obtain average electricity consumption of each month of the user, performing difference calculation on the daily electricity consumption of the user and the average electricity consumption of each day to obtain electricity consumption deviation, presetting an electricity consumption deviation interval, and marking the electricity consumption deviation within the preset electricity consumption deviation interval as standard electricity deviation; counting the number of standard electric differences, presetting the number of electric differences, and marking the average daily power consumption as the standard power consumption of the current month when the number of standard electric differences is larger than the preset number of electric differences;
Step two: the standard electricity consumption of all months in one year is obtained, the electricity consumption intervals W1, W2 and W3 are preset, when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as high-electricity consumption months, when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as medium-electricity consumption months, and when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as low-electricity consumption months; accumulating the standard electricity consumption corresponding to all high-consumption months and calculating the average value to obtain average high electricity consumption, accumulating the standard electricity consumption corresponding to all medium-consumption months and calculating the average value to obtain average medium electricity consumption, accumulating the standard electricity consumption corresponding to all low-consumption months and calculating the average value to obtain average low electricity consumption; marking the high-consumption month and the average high-consumption, the medium-consumption month and the average medium-consumption, and the low-consumption month and the average low-consumption as the normal electricity track of the user, and marking the average high-consumption, the average medium-consumption and the average low-consumption as the average track electricity consumption;
Step three: matching the current month with all the high-consumption months, medium-consumption months and low-consumption months to obtain average track power consumption corresponding to the month; the daily electricity consumption of the user is monitored in real time, and the daily electricity consumption is compared with the average track electricity consumption for analysis: when the daily electricity consumption is larger than the average track electricity consumption and the number of days is larger than the preset number of days, the current electricity consumption situation of the user is not in accordance with the conventional situation of the user, an electricity consumption abnormal signal is generated, and electricity consumption abnormal notification operation is triggered; timely notifying the abnormal electricity consumption to the user, and avoiding the electricity charge waste caused by the user under the condition of unknowing; for example: the user opens the high-power electric appliance with high power consumption temporarily or unknowingly, and the user fails to find that the closing process is performed in time due to negligence, so that the electric charge is high, and the electric energy waste is caused;
Step four: the unpaid payments amount and unpaid payments time of the user are obtained and marked as rmb and time, and the user passes through a preset model Obtaining an undersensing value Qz, wherein b1 and b2 are respectively preset weight coefficients, and alpha is a preset correction coefficient; when unpaid payments is larger than a preset payment lack value, generating unpaid payments power-off signals, and sending the generated unpaid payments power-off signals to an execution module;
The standard electricity consumption difference means that the deviation between the daily electricity consumption and the daily average electricity consumption is within the allowable range, and when the number of the standard electricity consumption differences is larger than the preset electricity consumption difference number, the electricity consumption of the user in the current month is indicated to be normal, and the daily average electricity consumption calculated in the current month is indicated to be representative.
The fault analysis module performs fault analysis on the power failure area, specifically:
Step one: updating a normal three-phase voltage waveform diagram of the monitoring node: acquiring three-phase voltage of a monitoring node, calculating and displaying the three-phase voltage waveform of the node through an oscilloscope, capturing points outside the waveform, marking the points as abnormal points, counting the number of the abnormal points, and when the number of the abnormal points is smaller than the number of preset points, indicating that the three-phase voltage waveform of the monitoring node is a waveform in a normal working state, and marking the three-phase voltage waveform as a normal three-phase voltage waveform of the monitoring node; the updating time is preset, and the operation is repeated every time the preset updating time is reached to update the normal three-phase voltage waveform diagrams of the monitoring nodes so as to obtain updated normal three-phase voltage waveform diagrams of all the monitoring nodes in working;
Step two: matching each monitoring node in the power failure area with all monitoring nodes, calling a three-phase voltage waveform diagram corresponding to each monitoring node in the power failure area in a normal working state, performing waveform comparison with the three-phase voltage waveform diagram of each monitoring node in the power failure area, marking the monitoring node as a fault node when the waveforms are inconsistent, indicating that the phase of the monitoring node has no fault when the waveforms are consistent, and returning to the previous stage to compare the voltage waveform diagrams of other two phases until the fault node in the power failure area is found;
Step three: detecting the voltage and the current at two ends of a fault node, when the current is overlarge and no voltage exists, the node is indicated to be a short-circuit fault node, a short-circuit fault node signal is generated, when the voltage exists and no current exists, the node is indicated to be an open-circuit fault node, and a short-circuit fault node signal is generated; the generated short-circuit fault node signal or the generated open-circuit fault node signal is sent to an execution module;
it is to be noted that a large number of monitoring nodes are arranged in the intelligent power grid, the numbers and the positions of the monitoring nodes are in one-to-one correspondence, the monitoring nodes are arranged to facilitate the intelligent power grid to rapidly locate the power failure fault position through analysis and timely inform a maintainer of the fault point for maintenance, the problem that the power failure time is long due to the fact that the fault position cannot be accurately and timely located is avoided, and the problem solving efficiency of unexpected power failure of faults is improved.
The execution module carries out power-off and power-on control on the received unpaid payments power-off signal and the short-circuit fault node or the open-circuit fault node, and specifically comprises the following steps:
When receiving unpaid payments power-off signals, the execution module performs isolation power-off operation on the user, invokes power-on information and sends payment notification; when a payment signal of a user is received and the payment amount is larger than or equal to unpaid payments, generating a payment power transmission signal and triggering power transmission operation to the user;
When an execution module receives a short-circuit fault node or a circuit break fault node, acquiring the area of a power failure area and the power consumption in the power failure area within one month, marking sm and wh, and obtaining a fault value Gu through a preset model Gu=gamma× (e1×sm+e2×wh), wherein e1 and e2 are preset weight coefficients respectively, and gamma is a preset correction coefficient;
The larger the electricity consumption in the power outage area in the period of about one month is, the larger the electricity consumption in the power outage area is, the larger inconvenience is caused to the power outage area when the power is cut off, and the larger the area of the power outage area is, the larger influence is caused to social activities; therefore, the larger the power consumption in the power failure area and the power failure area is, the larger the fault value is, and the larger the fault degree is;
the method comprises the steps of presetting fault intervals V1, V2 and V3, generating a primary power failure fault when a fault value is in the preset fault interval V1, generating a secondary power failure fault when the fault value is in the preset fault interval V2, and generating a tertiary power failure fault when the fault value is in the preset fault interval V3;
The number of the maintenance persons corresponding to the primary power failure faults is preset to be 5, the number of the maintenance persons corresponding to the secondary power failure faults is preset to be 3, and the number of the maintenance persons corresponding to the tertiary power failure faults is preset to be 2; when a maintenance completion confirmation signaling of a target staff is received, triggering power transmission operation of a power failure area;
The specific steps of selecting maintenance personnel for maintenance according to the fault level are as follows:
Step one: obtaining maintenance staff information of the intelligent power grid, and sending a fault notification instruction to a mobile phone terminal of the maintenance staff to obtain the current position of the maintenance staff replying the confirmation instruction; marking the maintenance staff replying the confirmation instruction as a first maintenance staff; marking the time of sending the fault notification instruction to the first maintenance staff as notification time, marking the time of receiving the confirmation instruction replied by the first staff as reply time, and calculating the time difference between the notification time and the reply time to obtain feedback time;
Step two: obtaining the distance between a first maintenance staff and a fault node, and marking the distance as a maintenance distance; obtaining a feedback time length fs, a maintenance distance be and an effective sum value Xu through a preset model Obtaining a maintenance value Ve, wherein c1, c2 and c3 are respectively preset weight coefficients, and lambda is a preset correction coefficient; when the primary power failure fails, marking a first maintenance staff with the top five maintenance values as a target staff, and sending the position of a failure node and the failure reason to a mobile terminal of a mobile phone of the target staff; when the primary power failure fails, marking a first maintenance staff with the top five maintenance values as target staff; when the secondary power failure occurs, marking a first maintenance staff with the top three maintenance values as target staff; when the three-level power failure fails, marking a first maintenance staff with the second highest maintenance value as a target staff, and sending the position of a failure node and the failure reason to a mobile terminal of a mobile phone of the target staff;
Step three: acquiring the moment when the position of the target staff coincides with the position of the fault node, marking the moment as the arrival moment, simultaneously sending a maintenance detail signaling to the mobile terminal of the mobile phone of the target staff and increasing the maintenance accumulated times of the target staff once; calculating the time difference between the arrival time and the reply time to obtain the path duration; acquiring maintenance accumulated times of target staff; the journey time ls, the maintenance accumulated times mu and the maintenance distance be pass through a preset model Obtaining an effective comprehensive value Xu; wherein d1 and d2 are respectively preset weight coefficients, and beta is a preset correction coefficient; the maintenance distance divided by the distance duration is obtained through a formula, the greater the speed of a target employee to a fault node is, the greater the number of maintenance accumulation times is, the greater the effective value is, and the higher the comprehensive efficiency of the employee in fault treatment is;
It should be noted that the maintenance detail signaling includes a maintenance completion unacknowledged signaling and a maintenance completion acknowledged signaling, and the smart grid receives the maintenance completion acknowledged signaling from the target staff, that is, indicates that the fault of the fault node has been removed, and may give the power transmission operation.
When the system is used, the normal electricity track is obtained through analyzing the electricity consumption of the user, the electricity consumption of the user is monitored and judged according to the normal electricity track, and the notification operation is carried out on the user with abnormal electricity consumption, so that the electricity consumption is saved, and unnecessary electric energy waste caused by the unaware condition of the user is avoided; by analyzing the fault nodes and the fault reasons in the power failure area and dividing the power failure area into power failure fault grades, the fault nodes and the fault reasons are rapidly determined, the troubleshooting speed of the power failure fault reasons and the positions is improved, and a foundation is laid for rapidly solving the power failure faults; selecting maintenance staff to maintain through the fault level, the fault reason and the fault node, and triggering power transmission operation of the power failure area when receiving a maintenance completion confirmation signaling of the target staff; the problem that users in a power failure area cannot conveniently live due to long power failure time caused by long maintenance time is solved, and the solving efficiency of unexpected power failure of faults is improved.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The power outage and transmission management system based on the intelligent power grid comprises a data acquisition module and a data storage module, wherein the data acquisition module acquires power utilization information of a user corresponding to the intelligent power grid and sends the power utilization information to the data storage module; the system is characterized by further comprising an electricity analysis module, a fault analysis module and an execution module;
the power consumption analysis module is used for analyzing power consumption information of a user corresponding to the intelligent power grid to obtain a normal power consumption track of the user, monitoring the power consumption of the user according to the normal power consumption track, obtaining a power consumption abnormality signal of the user and a unpaid payments power-off signal, and triggering power consumption abnormality notification operation when the power consumption abnormality signal of the user is generated; when unpaid payments power-off signals are generated, the power-off signals are sent to an execution module;
The fault analysis module is used for carrying out fault analysis on the power failure area to determine a fault node, judging the fault reason of the fault node according to the fault analysis result to obtain a short circuit fault node signal or a circuit break fault node signal, and sending the short circuit fault node signal or the circuit break fault node signal to the execution module;
the execution module respectively carries out power-on and power-off control on the received unpaid payments power-off signal or the short-circuit fault node signal or the open-circuit fault node signal, and specifically comprises the following steps:
when unpaid payments power-off signals are received, counting records of all unpaid payments power-off signals of a user, wherein the records comprise unpaid payments time corresponding to the unpaid payments power-off signals and corresponding payment time; analyzing the records, sorting all unpaid payments times according to time sequence,
The user is subjected to isolation outage operation, electricity utilization information is called, and payment notification is sent; when a payment signal of a user is received and the payment amount is larger than or equal to unpaid payments, generating a payment power transmission signal and triggering power transmission operation to the user;
when a short-circuit fault node signal or a circuit break fault node signal is received, acquiring the area of a power failure area and the power consumption in the power failure area within one month, and processing the power consumption to obtain a fault value; presetting fault intervals V1, V2 and V3, and generating a primary power failure fault when the fault value is in the preset fault interval V1; when the fault value is in a preset fault interval V2, generating a secondary power failure fault; when the fault value is in a preset fault interval V3, generating a three-level power failure fault; the method comprises the steps that a primary power failure fault, a secondary power failure fault and a tertiary power failure fault are preset, the number of maintenance staff is preset, and maintenance staff corresponding to the number of maintenance staff is selected to carry out maintenance according to the fault grade; and triggering power transmission operation of the power failure area when receiving a maintenance completion confirmation signal of the target staff.
2. The power outage and transmission management system based on the smart grid according to claim 1, wherein the power consumption analysis unit performs power consumption analysis on the power consumption to obtain a normal power consumption track and monitors the power consumption of the user according to the normal power consumption track, specifically:
Step one: acquiring historical daily electricity consumption of a user, accumulating the historical daily electricity consumption of the user to obtain total electricity consumption of each month of the user, performing average operation on the total electricity consumption to obtain average electricity consumption of each month of the user, performing difference calculation on the daily electricity consumption of the user and the average electricity consumption of each day to obtain electricity consumption deviation, presetting an electricity consumption deviation interval, and marking the electricity consumption deviation within the preset electricity consumption deviation interval as standard electricity deviation; counting the number of standard electric differences, and when the number of standard electric differences is larger than the number of preset electric differences, marking the average daily electric consumption as the standard electric consumption of the current month;
Step two: the standard electricity consumption of all months in one year is obtained, the electricity consumption intervals W1, W2 and W3 are preset, when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as high-electricity consumption months, when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as medium-electricity consumption months, and when the corresponding months are in the preset electricity consumption interval W1, the corresponding months are marked as low-electricity consumption months; respectively accumulating the standard power consumption corresponding to all high-consumption months, all medium-consumption months and all low-consumption months and calculating an average value to obtain average high power consumption, average medium power consumption and average low power consumption; marking the high-consumption month and the average high-consumption, the medium-consumption month and the average medium-consumption, and the low-consumption month and the average low-consumption as the normal electricity track of the user, and marking the average high-consumption, the average medium-consumption and the average low-consumption as the average track electricity consumption;
Step three: matching the current month with all the high-consumption months, medium-consumption months and low-consumption months to obtain average track power consumption corresponding to the month; monitoring the daily electricity consumption of a user in real time, and generating an electricity consumption abnormal signal and sending the abnormal signal to an execution module when the daily electricity consumption is larger than the number of days of the average track electricity consumption and is larger than the preset number of days;
step four: and acquiring unpaid payments amount of the user and unpaid payments time, obtaining a unpaid payments value through data processing, and generating unpaid payments a power-off signal when the unpaid payments value is larger than a preset payment-lack value.
3. The power outage and transmission management system based on the smart grid according to claim 1, wherein the fault analysis module performs fault analysis on a power outage area, specifically:
S1: updating a normal three-phase voltage waveform diagram of the monitoring node: acquiring three-phase voltage of a monitoring node, calculating and displaying the three-phase voltage waveform of the node through an oscilloscope, capturing points outside the waveform, marking the points as abnormal points, counting the number of the abnormal points, and marking the abnormal points as normal three-phase voltage waveform of the monitoring node when the number of the abnormal points is smaller than the number of preset points; the updating time is preset, and the operation is repeated every time the preset updating time is reached to update the normal three-phase voltage waveform diagrams of the monitoring nodes so as to obtain updated normal three-phase voltage waveform diagrams of all the monitoring nodes in working;
S2: matching each monitoring node in the power failure area with all monitoring nodes, calling a normal three-phase voltage waveform diagram of each monitoring node in the corresponding power failure area, comparing the waveform with the three-phase voltage waveform diagram of each monitoring node in the power failure area, and marking the monitoring node as a fault node when the waveforms are inconsistent; when the waveforms are consistent, returning to the previous stage to compare the voltage waveform diagrams of other two phases until a fault node in the power failure area is found;
s3: detecting voltage and current at two ends of a fault node; when the current is overlarge and no voltage exists, a short-circuit fault node signal is generated; when there is voltage and no current, the open-circuit fault node signal is generated.
4. The power outage and transmission management system based on the smart grid according to claim 1, wherein the specific steps of selecting a corresponding number of maintenance staff for maintenance according to the fault level are as follows:
SS1: obtaining maintenance staff information of the intelligent power grid, and sending a fault notification instruction to a mobile phone terminal of the maintenance staff to obtain the current position of the maintenance staff replying the confirmation instruction; marking the maintenance staff replying the confirmation instruction as a first maintenance staff; marking the time of sending the fault notification instruction to the first maintenance staff as notification time, marking the time of receiving the confirmation instruction replied by the first staff as reply time, and calculating the time difference between the notification time and the reply time to obtain feedback time;
SS2: obtaining the distance between a first maintenance staff and a fault node, and marking the distance as a maintenance distance; the feedback time length, the maintenance distance and the effective comprehensive value are processed through data to obtain a maintenance value; when the primary power failure fails, the number of the maintenance staff is n1, and the first maintenance staff with the top n1 positions of the maintenance value is marked as a target staff; when the secondary power failure fails, the number of the maintenance staff is n2, and the first maintenance staff with the maintenance value of n2 before the ranking is marked as target staff; when the three-level power failure fails, the number of the maintenance staff is n3, the first maintenance staff with the maintenance value of n3 ranked in front is marked as a target staff, and the position of a failure node and the failure cause are sent to a mobile terminal of a mobile phone of the target staff;
SS3: acquiring the moment when the position of the target staff coincides with the position of the fault node, marking the moment as the arrival moment, simultaneously sending a maintenance detail signaling to the mobile terminal of the mobile phone of the target staff and increasing the maintenance accumulated times of the target staff once; calculating the time difference between the arrival time and the reply time to obtain the path duration; acquiring maintenance accumulated times of target staff; and obtaining an effective comprehensive value through data processing on the path duration, the maintenance accumulated times and the maintenance distance.
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