CN114928173A - Intelligent power distribution system based on power grid business middling station and electric power data safety interaction - Google Patents
Intelligent power distribution system based on power grid business middling station and electric power data safety interaction Download PDFInfo
- Publication number
- CN114928173A CN114928173A CN202210765894.8A CN202210765894A CN114928173A CN 114928173 A CN114928173 A CN 114928173A CN 202210765894 A CN202210765894 A CN 202210765894A CN 114928173 A CN114928173 A CN 114928173A
- Authority
- CN
- China
- Prior art keywords
- power distribution
- maintenance
- analysis
- analysis object
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses an intelligent power distribution system based on power grid service middleboxes and power data safety interaction, which belongs to the technical field of intelligent power distribution and solves the technical problem that power demand customers cannot be accurately planned in the prior art, so that the power distribution pressure of a power grid is high; the operation and maintenance of each analysis object are analyzed in real time, and the operation and maintenance efficiency of each analysis object is judged, so that whether the operation and maintenance of the analysis object is qualified or not is judged while the work efficiency of the analysis object is improved, the operation and maintenance can be dulled in time when abnormal, and the electricity consumption of the analysis object is prevented from being influenced, and the electricity consumption efficiency is reduced.
Description
Technical Field
The invention belongs to the technical field of intelligent power distribution, and particularly relates to an intelligent power distribution system based on safe interaction of a power grid service middling station and power data.
Background
Power systems have been born for over a hundred years and although their voltage levels and scales are naturally different from the current year, the structure and operating principles of the systems have not changed significantly. The direct user-oriented power distribution network is a key link for ensuring the power supply quality, improving the power grid operation efficiency and innovating user service. At present, more than 95% of the power failure time suffered by power consumers is caused by the reason of a power distribution system (the reason of deducting insufficient power generation); the power distribution network is a main factor causing deterioration of the quality of electric energy; nearly half of the loss of the power system is generated in the power distribution network; the influence of the distributed power supply access on the power grid is mainly the influence on the power distribution network; the focus of interacting with users and performing demand-side management is also on the distribution network. Therefore, building a smart grid must give sufficient attention to the distribution grid.
In the prior art, when a power grid distributes power, each power-requiring client cannot be analyzed in real time and cannot be accurately planned, so that the power distribution pressure of the power grid is high, and the stability of the power distribution efficiency is not facilitated; meanwhile, the operation and maintenance of the customers needing electricity cannot be detected, so that the operation and maintenance efficiency is low, and the power distribution efficiency is influenced; for this reason, we propose an intelligent power distribution system based on the safe interaction of the station and the power data in the grid service.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent power distribution system based on power grid service middleboxes and power data safety interaction, which analyzes the real-time power consumption of analysis objects and judges the power consumption state of each analysis object, so that the power distribution of each analysis object is more accurate, and the utilization rate of the power in a power grid and the power distribution accuracy are improved; the operation and maintenance of each analysis object are analyzed in real time, and the operation and maintenance efficiency of each analysis object is judged, so that whether the operation and maintenance of the analysis object is qualified or not is judged while the work efficiency of the analysis object is improved, the operation and maintenance can be dulled in time when abnormal, and the electricity consumption of the analysis object is prevented from being influenced, and the electricity consumption efficiency is reduced.
The purpose of the invention can be realized by the following technical scheme:
the intelligent power distribution system based on power grid service middling and power data safety interaction comprises an intelligent power distribution platform, wherein the intelligent power distribution platform is provided with a power grid service analysis terminal and a power data analysis terminal, the power grid service analysis terminal is provided with an operation and maintenance service analysis unit and a service electric quantity analysis unit, and the power data analysis terminal is internally provided with a power distribution environment analysis unit and an equipment state detection unit;
the power grid service analysis terminal marks an electric quantity client in the power grid as an analysis object, generates a service electric quantity analysis signal and sends the service electric quantity analysis signal to a service electric quantity analysis unit; the service electric quantity analysis unit analyzes the real-time electricity consumption of the analysis object after receiving the service electric quantity analysis signal, generates an electricity consumption time adjustable signal and an electricity consumption time non-adjustable signal according to the analysis result and sends the electricity consumption time adjustable signal and the electricity consumption time non-adjustable signal to the intelligent power distribution platform;
the power grid service analysis terminal generates operation and maintenance service analysis signals and sends the operation and maintenance service analysis signals to the operation and maintenance service analysis unit, the operation and maintenance service analysis unit analyzes the operation and maintenance of each analysis object in real time after receiving the operation and maintenance service analysis signals, generates operation and maintenance state abnormal signals, operation and maintenance prediction signals, maintenance procedure abnormal signals or operation and maintenance high-efficiency signals according to analysis results, and sends the operation and maintenance state abnormal signals, the operation and maintenance prediction signals, the maintenance procedure abnormal signals or the operation and maintenance high-efficiency signals to the intelligent power distribution platform;
the power data analysis terminal is used for analyzing and monitoring the power distribution process of each analysis object in real time, generating a power distribution environment analysis signal and sending the power distribution environment analysis signal to the power distribution environment analysis unit, and the power distribution environment analysis unit analyzes the power distribution environment of each analysis object in real time after receiving the power distribution environment analysis signal, generates a power grid risk signal or a power grid safety signal according to an analysis result and sends the power grid risk signal or the power grid safety signal to the intelligent power distribution platform;
the equipment state detection unit is used for detecting the real-time state of the power distribution cabinet of each analysis object, judging whether the running state of the power distribution cabinet is qualified or not, generating a power distribution cabinet state abnormal signal and a power distribution cabinet state normal signal according to the judgment result, and sending the power distribution cabinet state abnormal signal and the power distribution cabinet state normal signal to the intelligent power distribution platform.
Further, the operation process of the service power analysis unit is as follows:
acquiring a historical operating time period of an analysis object, dividing the historical operating time period into a plurality of sub time points, and acquiring the average power consumption of each analysis object and the power consumption of each sub time point in the historical operating time period;
calculating the difference value between the electricity consumption of each sub time point in the historical running time period and the average electricity consumption, and acquiring an electricity quantity difference set through the corresponding difference value, wherein the sequence of subsets in the electricity quantity difference set is consistent with the sequence of the sub time points, the subsets are divided into positive subsets and negative subsets, when the electricity consumption of the corresponding sub time point exceeds the average electricity consumption, the corresponding subset is positive, otherwise, when the electricity consumption of the corresponding sub time point does not exceed the average electricity consumption, the corresponding subset is negative;
acquiring the maximum number difference of subsets in the electric quantity difference set corresponding to each analysis object and the alternating frequency of positive and negative subsets in the corresponding electric quantity difference set, and comparing the maximum number difference of subsets in the electric quantity difference set corresponding to each analysis object and the alternating frequency of positive and negative subsets in the corresponding electric quantity difference set with a maximum number difference threshold and an alternating frequency threshold respectively:
if the maximum number difference of the subsets in the electric quantity difference set corresponding to the analysis object exceeds the maximum number difference threshold value, or the alternating frequency of the positive subset and the negative subset in the electric quantity difference set exceeds the alternating frequency threshold value, judging that the electricity consumption of the corresponding analysis object is unstable, generating an electricity consumption time adjustable signal and sending the electricity consumption time adjustable signal and the number of the corresponding analysis object to the intelligent power distribution platform;
if the maximum number difference of the subsets in the electric quantity difference set corresponding to the analysis object does not exceed the maximum number difference threshold value, and the alternating frequency of the positive subset and the negative subset in the corresponding electric quantity difference set does not exceed the alternating frequency threshold value, the electricity consumption stability of the corresponding analysis object is judged, an electricity consumption time non-adjusting signal is generated, and the electricity consumption time non-adjusting signal and the corresponding analysis object number are sent to the intelligent power distribution platform.
Furthermore, after the intelligent power distribution platform receives the power utilization time adjustable signal, real-time management and control are carried out on the power utilization time of the corresponding analysis object, and power grid power utilization peaks are staggered when the power demand is low.
Furthermore, after the intelligent power distribution platform receives the power consumption time non-adjustment signal, the electric quantity is uniformly distributed to the corresponding analysis object in real time.
Further, the operation process of the operation and maintenance service analysis unit is as follows:
collecting the power distribution cabinet fault time and maintenance time corresponding to each analysis object, and analyzing the power distribution cabinet fault time and maintenance time corresponding to each analysis object:
if the fault time of the power distribution cabinet corresponding to the analysis object is earlier than the maintenance time and the interval duration between the fault time and the maintenance time exceeds the corresponding interval duration threshold, judging that the operation and maintenance state of the corresponding analysis object is abnormal, generating an operation and maintenance state abnormal signal and sending the operation and maintenance state abnormal signal to the intelligent power distribution platform;
if the fault time of the power distribution cabinet corresponding to the analysis object is earlier than the maintenance time, and the interval duration of the fault time and the maintenance time does not exceed the corresponding interval duration threshold, judging that the operation and maintenance state of the corresponding analysis object is low-efficiency, generating an operation and maintenance prediction signal and sending the operation and maintenance prediction signal to the intelligent power distribution platform;
if the fault time of the power distribution cabinet corresponding to the analysis object is later than the maintenance time, and the interval duration between the fault time and the maintenance time does not exceed the corresponding interval duration threshold, judging that the operation and maintenance of the corresponding analysis object is unqualified, generating a maintenance procedure abnormal signal and sending the maintenance procedure abnormal signal to the intelligent power distribution platform;
and if the fault time of the power distribution cabinet corresponding to the analysis object is later than the maintenance time, and the interval duration of the fault time and the maintenance time exceeds the corresponding interval duration threshold, judging that the operation and maintenance of the corresponding analysis object is qualified, generating an operation and maintenance efficient signal and sending the operation and maintenance efficient signal to the intelligent power distribution platform.
And further, after the intelligent power distribution platform receives the operation and maintenance state abnormal signal, the operation and maintenance of the power distribution cabinet corresponding to the analysis object are finished.
Furthermore, after the intelligent power distribution platform receives the operation and maintenance prediction signal, the operation and maintenance prediction frequency of the corresponding analysis object is increased.
Furthermore, after the intelligent power distribution platform receives the maintenance procedure abnormal signal, the operation and maintenance procedure corresponding to the analysis object is optimized.
Further, the operation process of the power distribution environment analysis unit is as follows:
the method comprises the following steps of collecting the increasing speed of the required electric quantity of an analysis object in the power distribution process and the quantity increasing amplitude of the corresponding required power distribution analysis object, and comparing the increasing speed of the required electric quantity of the analysis object in the power distribution process and the quantity increasing amplitude of the corresponding required power distribution analysis object with an increasing speed threshold value and an increasing amplitude threshold value respectively: if the increasing speed of the required electric quantity of the analysis object exceeds an increasing speed threshold value or the increasing amplitude of the quantity of the corresponding analysis objects needing power distribution exceeds an increasing amplitude threshold value in the power distribution process, judging that the current power distribution of the power grid has risks, generating a power grid risk signal and sending the power grid risk signal to the intelligent power distribution platform;
if the increasing speed of the required electric quantity of the analysis object does not exceed the increasing speed threshold value and the increasing amplitude of the quantity of the corresponding analysis objects needing power distribution does not exceed the increasing amplitude threshold value in the power distribution process, judging that no risk exists in current power distribution of the power grid, generating a power grid safety signal and sending the power grid safety signal to the intelligent power distribution platform.
Furthermore, after the intelligent power distribution platform receives the power grid risk signal, the current power distribution of the power grid is scheduled.
Further, the operation process of the device state detection unit is as follows:
gather the temperature rise speed that distribution in-process analysis object corresponds the switch board and correspond the partial discharge volume of switch board to compare the temperature rise speed that distribution in-process analysis object corresponds the switch board and the partial discharge volume that corresponds the switch board with temperature rise speed threshold value and partial discharge volume threshold value respectively:
if the temperature rising speed of the power distribution cabinet corresponding to the analysis object exceeds a temperature rising speed threshold value or the local discharge amount of the corresponding power distribution cabinet exceeds a local discharge amount threshold value in the power distribution process, judging that the power distribution cabinet corresponding to the analysis object is abnormal in operation, generating a power distribution cabinet state abnormal signal and sending the power distribution cabinet state abnormal signal to the intelligent power distribution platform;
if the temperature rising speed of the analysis object corresponding to the power distribution cabinet does not exceed the temperature rising speed threshold value and the local discharge amount of the corresponding power distribution cabinet does not exceed the local discharge amount threshold value in the power distribution process, judging that the power distribution cabinet corresponding to the analysis object normally operates, generating a power distribution cabinet state normal signal and sending the power distribution cabinet state normal signal to the intelligent power distribution platform.
Furthermore, after the intelligent power distribution platform receives the power distribution cabinet state abnormity signal, the power distribution corresponding to the analysis object is suspended and the corresponding power distribution cabinet is maintained.
Compared with the prior art, the invention has the beneficial effects that:
the real-time power consumption of the analysis objects is analyzed, and the power consumption state of each analysis object is judged, so that the power distribution of each analysis object is more accurate, and the utilization rate of the power in the power grid and the power distribution accuracy are improved; the operation and maintenance of each analysis object are analyzed in real time, and the operation and maintenance efficiency of each analysis object is judged, so that the operation and maintenance of the analysis objects are judged to be qualified while the work efficiency of the analysis objects is improved, the operation and maintenance can be dulled in time when the operation and maintenance are abnormal, and the electricity utilization of the analysis objects is prevented from being influenced, and the electricity utilization efficiency is reduced; the power distribution environment of each analysis object is analyzed in real time, and the power distribution environment of each analysis object in the power distribution process is judged, so that the supervision of the analysis objects is enhanced, and the abnormal power distribution of the analysis objects is prevented; whether the running state of the power distribution cabinet is qualified or not is judged, so that the power distribution stability of the analysis object is improved, the power distribution efficiency of the analysis object is prevented from being reduced due to the power distribution cabinet abnormity, the power distribution efficiency of the power grid cannot meet the requirement of the analysis object, and the working efficiency of the power grid intelligent power distribution is reduced.
Drawings
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a system diagram of a grid service analysis terminal according to the present invention;
fig. 3 is a system block diagram of the power data analysis terminal according to the present invention.
Detailed Description
The invention is further described with reference to specific examples. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Referring to fig. 1-3, the intelligent power distribution system based on the safe interaction between the power grid service center and the power data includes an intelligent power distribution platform, and a power grid service analysis terminal and a power data analysis terminal are disposed in the intelligent power distribution platform, wherein an operation and maintenance service analysis unit and a service electric quantity analysis unit are disposed in the power grid service analysis terminal; a power distribution environment analysis unit and an equipment state detection unit are arranged in the electric power data analysis terminal.
The intelligent power distribution platform is used for analyzing the intelligent power distribution of the power grid, analyzing the electric quantity service in the power grid through the power grid service analysis terminal, monitoring the service state of a client in the power grid in real time, and improving the accuracy of the intelligent power distribution; the power grid service analysis terminal marks an electric quantity client side in a power grid as an analysis object, a mark number i is set, the i is a natural number larger than 1, a service electric quantity analysis signal is generated and sent to the service electric quantity analysis unit, the service electric quantity analysis unit analyzes real-time power consumption of the analysis object after receiving the service electric quantity analysis signal, and power consumption states of all analysis objects are judged, so that power distribution of all analysis objects is more accurate, and the utilization rate of electric quantity in the power grid and power distribution accuracy are improved.
The operation process of the service electric quantity analysis unit specifically comprises the following steps:
acquiring a historical operation time period of an analysis object, dividing the historical operation time period into a plurality of sub time points, acquiring average power consumption of each analysis object and power consumption of each sub time point in the historical operation time period, and marking the average power consumption of each analysis object in the historical operation time period as the average power consumption;
calculating the difference value between the electricity consumption of each sub-time point in the historical operation time period and the average electricity consumption, and acquiring an electricity quantity difference set through corresponding difference values, wherein the sequence of the subsets in the electricity quantity difference set is consistent with the sequence of the sub-time points, the subsets are divided into positive subsets and negative subsets, when the electricity consumption of the corresponding sub-time points exceeds the average electricity consumption, the corresponding subsets are positive, otherwise, when the electricity consumption of the corresponding sub-time points does not exceed the average electricity consumption, the corresponding subsets are negative;
acquiring the maximum number difference of subsets in the electric quantity difference set corresponding to each analysis object and the alternating frequency of positive and negative subsets in the corresponding electric quantity difference set, and comparing the maximum number difference of subsets in the electric quantity difference set corresponding to each analysis object and the alternating frequency of positive and negative subsets in the corresponding electric quantity difference set with a maximum number difference threshold and an alternating frequency threshold respectively:
if the maximum number difference of the subsets in the electric quantity difference set corresponding to the analysis object exceeds the maximum number difference threshold value, or the alternating frequency of the positive subsets and the negative subsets in the electric quantity difference set exceeds the alternating frequency threshold value, the electricity utilization of the corresponding analysis object is judged to be unstable, an electricity utilization time adjustable signal is generated, the electricity utilization time adjustable signal and the number of the corresponding analysis object are sent to an intelligent power distribution platform, after the intelligent power distribution receipt receives the electricity utilization time adjustable signal, the electricity utilization time of the corresponding analysis object is controlled in real time, the electricity utilization peak of a power grid is staggered when the electric quantity demand is low, and the electricity utilization stability of the analysis object is improved while the electricity utilization pressure of the power grid is relieved;
if the maximum value difference of the subsets in the electric quantity difference set corresponding to the analysis object does not exceed the maximum value difference threshold value, and the alternating frequency of the positive subsets and the negative subsets in the electric quantity difference set does not exceed the alternating frequency threshold value, the electricity utilization stability of the corresponding analysis object is judged, an electricity utilization time non-adjusting signal is generated, the electricity utilization time non-adjusting signal and the corresponding analysis object number are sent to the intelligent power distribution platform, after the intelligent power distribution platform receives the electricity utilization time non-adjusting signal, the corresponding analysis object is subjected to real-time uniform power distribution, and the power distribution quantity numerical value floating is reduced to cause the electricity utilization efficiency of the analysis object to be reduced.
The power grid service analysis terminal generates operation and maintenance service analysis signals and sends the operation and maintenance service analysis signals to the operation and maintenance service analysis unit, the operation and maintenance service analysis unit receives the operation and maintenance service analysis signals and then analyzes the operation and maintenance of each analysis object in real time to judge the operation and maintenance efficiency of each analysis object, so that the operation and maintenance of each analysis object is judged to be qualified or not while the work efficiency of each analysis object is improved, the operation and maintenance can be timely tidied when the operation and maintenance is abnormal, the power consumption of each analysis object is prevented from being influenced, and the power consumption efficiency is reduced.
The operation process of the operation and maintenance service analysis unit specifically comprises the following steps:
collecting the power distribution cabinet fault time and maintenance time corresponding to each analysis object, and analyzing the power distribution cabinet fault time and maintenance time corresponding to each analysis object:
if the fault time of the power distribution cabinet corresponding to the analysis object is earlier than the maintenance time and the interval time between the fault time and the maintenance time exceeds the corresponding interval time threshold, judging that the operation and maintenance state of the corresponding analysis object is abnormal, generating an operation and maintenance state abnormal signal and sending the operation and maintenance state abnormal signal to the intelligent power distribution platform, and performing operation and maintenance rectification on the power distribution cabinet corresponding to the analysis object after the intelligent power distribution receipt receives the operation and maintenance state abnormal signal;
if the fault time of the power distribution cabinet corresponding to the analysis object is earlier than the maintenance time, and the interval duration between the fault time and the maintenance time does not exceed the corresponding interval duration threshold, judging that the operation and maintenance state of the corresponding analysis object is low-efficiency, generating an operation and maintenance prediction signal, sending the operation and maintenance prediction signal to the intelligent power distribution platform, and increasing the operation and maintenance prediction frequency of the corresponding analysis object after the intelligent power distribution platform receives the operation and maintenance prediction signal;
if the fault time of the power distribution cabinet corresponding to the analysis object is later than the maintenance time, and the interval duration of the fault time and the maintenance time does not exceed the corresponding interval duration threshold, judging that the operation and maintenance of the corresponding analysis object is unqualified, generating a maintenance procedure abnormal signal and sending the maintenance procedure abnormal signal to the intelligent power distribution platform, and after receiving the maintenance procedure abnormal signal, the intelligent power distribution platform optimizes the operation and maintenance procedure corresponding to the analysis object;
and if the fault time of the power distribution cabinet corresponding to the analysis object is later than the maintenance time, and the interval duration of the fault time and the maintenance time exceeds the corresponding interval duration threshold, judging that the operation and maintenance of the corresponding analysis object is qualified, generating an operation and maintenance efficient signal and sending the operation and maintenance efficient signal to the intelligent power distribution platform.
The electric power data analysis terminal is used for carrying out real-time analysis monitoring to each analysis object power distribution process, generates the distribution environment analysis signal and sends the distribution environment analysis signal to the distribution environment analysis unit, and the distribution environment analysis unit receives the distribution environment analysis signal after, carries out real-time analysis to each analysis object's distribution environment, judges the distribution environment of each analysis object in the power distribution process to the supervision of analysis object has been strengthened, prevents that analysis object's distribution from appearing unusually.
The operation process of the power distribution environment analysis unit is as follows:
the method comprises the following steps of collecting the increasing speed of the required electric quantity of an analysis object in the power distribution process and the quantity increasing amplitude of the corresponding required power distribution analysis object, and comparing the increasing speed of the required electric quantity of the analysis object in the power distribution process and the quantity increasing amplitude of the corresponding required power distribution analysis object with an increasing speed threshold value and an increasing amplitude threshold value respectively:
if the increasing speed of the required electric quantity of the analysis object exceeds an increasing speed threshold value or the increasing amplitude of the quantity of the corresponding analysis objects needing power distribution exceeds an increasing amplitude threshold value in the power distribution process, judging that the current power distribution of the power grid has risks, generating a power grid risk signal and sending the power grid risk signal to the intelligent power distribution platform, and after receiving the power grid risk signal, the intelligent power distribution platform dispatches the current power distribution of the power grid;
if the increasing speed of the required electric quantity of the analysis object does not exceed the increasing speed threshold value and the increasing amplitude of the quantity of the corresponding analysis objects needing power distribution does not exceed the increasing amplitude threshold value in the power distribution process, judging that no risk exists in the current power distribution of the power grid, generating a power grid safety signal and sending the power grid safety signal to the intelligent power distribution platform.
The equipment state detection unit is used for detecting the real-time state of the power distribution cabinet of each analysis object and judging whether the running state of the power distribution cabinet is qualified or not, so that the power distribution stability of the analysis objects is improved, the power distribution efficiency of the analysis objects is prevented from being reduced due to the abnormity of the power distribution cabinet, the power distribution efficiency of a power grid cannot meet the requirements of the analysis objects, and the working efficiency of intelligent power distribution of the power grid is reduced.
The operation process of the equipment state detection unit is as follows:
gather the temperature rise speed that distribution in-process analysis object corresponds the switch board and correspond the partial discharge volume of switch board to compare the temperature rise speed that distribution in-process analysis object corresponds the switch board and the partial discharge volume that corresponds the switch board with temperature rise speed threshold value and partial discharge volume threshold value respectively:
if the temperature rising speed of the power distribution cabinet corresponding to the analysis object exceeds a temperature rising speed threshold value or the local discharge amount of the corresponding power distribution cabinet exceeds a partial discharge amount threshold value in the power distribution process, judging that the power distribution cabinet corresponding to the analysis object is abnormal in operation, generating a power distribution cabinet state abnormal signal and sending the power distribution cabinet state abnormal signal to the intelligent power distribution platform, and after receiving the power distribution cabinet state abnormal signal, the intelligent power distribution platform suspends the power distribution corresponding to the analysis object and maintains the corresponding power distribution cabinet;
if the temperature rising speed of the analysis object corresponding to the power distribution cabinet does not exceed the temperature rising speed threshold value and the local discharge amount of the corresponding power distribution cabinet does not exceed the local discharge amount threshold value in the power distribution process, judging that the power distribution cabinet corresponding to the analysis object normally operates, generating a power distribution cabinet state normal signal and sending the power distribution cabinet state normal signal to the intelligent power distribution platform.
During specific implementation, the intelligent power distribution platform is also in communication connection with a patrol management unit, an engineering visa management unit and an external damage prevention management unit;
the patrol management unit is used for patrolling a mobile phone map, displaying the key equipment topology of the power grid resource service center in real time, viewing a single line map in real time, automatically positioning equipment when a patrol worker approaches the equipment, broadcasting voice prompt, recording defects and hidden dangers on site, and directly entering the power grid resource service center of the intranet;
the project visa management unit is used for policy processing or visa on a project construction site, changes of a construction scheme and increases cost due to objective conditions, and can be used for on-site evidence obtaining, real-time approval and management and control migration by using a mobile phone;
and the anti-external-damage management unit enables the outside assistant personnel to register construction points on the mobile phone, the main worker personnel to identify risk points on the mobile phone, and the multi-party site safety is handed over, and the patrol and the guard are carried out within the risk duration until the risk is eliminated. Managers can monitor the outer broken risk in real time based on the map at an outer network mobile phone, an inner network PC end and an inner network large screen end.
When the intelligent power distribution system works, a power quantity client in a power grid is marked as an analysis object through a power grid service analysis terminal, a service power analysis signal is received through a service power analysis unit, the real-time power consumption of the analysis object is analyzed, a power consumption time adjustable signal and a power consumption time non-adjustable signal are generated through analysis, and the power consumption time adjustable signal and the power consumption time non-adjustable signal are sent to the intelligent power distribution platform; after receiving the operation and maintenance service analysis signal through the operation and maintenance service analysis unit, analyzing the operation and maintenance of each analysis object in real time, and controlling the analysis objects through the operation and maintenance real-time analysis; the power distribution process of each analysis object is analyzed and monitored in real time through a power data analysis terminal, the power data analysis terminal generates a power distribution environment analysis signal and sends the power distribution environment analysis signal to a power distribution environment analysis unit, the power distribution environment analysis unit analyzes the power distribution environment of each analysis object in real time after receiving the power distribution environment analysis signal, a power grid risk signal and a power grid safety signal are generated through environment real-time analysis, and the power grid risk signal and the power grid safety signal are sent to an intelligent power distribution platform; the power distribution cabinet of each analysis object is subjected to real-time state detection through the equipment state detection unit, whether the running state of the power distribution cabinet is qualified or not is judged, and a power distribution cabinet state abnormal signal and a power distribution cabinet state normal signal are generated through the real-time state detection and are sent to the intelligent power distribution platform.
The present invention has been disclosed in terms of the preferred embodiment, but is not intended to be limited to the embodiment, and all technical solutions obtained by substituting or converting equivalents thereof fall within the scope of the present invention.
Claims (12)
1. The intelligent power distribution system based on the safe interaction of the power grid service middlings and the power data comprises an intelligent power distribution platform and is characterized in that the intelligent power distribution platform is provided with a power grid service analysis terminal and a power data analysis terminal, the power grid service analysis terminal is provided with an operation and maintenance service analysis unit and a service electric quantity analysis unit, and the power data analysis terminal is internally provided with a power distribution environment analysis unit and an equipment state detection unit;
the power grid service analysis terminal marks an electric quantity client in the power grid as an analysis object, generates a service electric quantity analysis signal and sends the service electric quantity analysis signal to a service electric quantity analysis unit; the service electric quantity analysis unit analyzes the real-time electricity consumption of the analysis object after receiving the service electric quantity analysis signal, generates an electricity consumption time adjustable signal and an electricity consumption time non-adjustable signal according to the analysis result and sends the electricity consumption time adjustable signal and the electricity consumption time non-adjustable signal to the intelligent power distribution platform;
the power grid service analysis terminal generates operation and maintenance service analysis signals and sends the operation and maintenance service analysis signals to the operation and maintenance service analysis unit, the operation and maintenance service analysis unit analyzes the operation and maintenance of each analysis object in real time after receiving the operation and maintenance service analysis signals, generates operation and maintenance state abnormal signals, operation and maintenance prediction signals, maintenance procedure abnormal signals or operation and maintenance high-efficiency signals according to analysis results, and sends the operation and maintenance state abnormal signals, the operation and maintenance prediction signals, the maintenance procedure abnormal signals or the operation and maintenance high-efficiency signals to the intelligent power distribution platform;
the power data analysis terminal is used for analyzing and monitoring the power distribution process of each analysis object in real time, generating a power distribution environment analysis signal and sending the power distribution environment analysis signal to the power distribution environment analysis unit, and the power distribution environment analysis unit analyzes the power distribution environment of each analysis object in real time after receiving the power distribution environment analysis signal, generates a power grid risk signal or a power grid safety signal according to an analysis result and sends the power grid risk signal or the power grid safety signal to the intelligent power distribution platform;
the equipment state detection unit is used for detecting the real-time state of the power distribution cabinet of each analysis object, judging whether the running state of the power distribution cabinet is qualified or not, generating a power distribution cabinet state abnormal signal and a power distribution cabinet state normal signal according to the judgment result, and sending the power distribution cabinet state abnormal signal and the power distribution cabinet state normal signal to the intelligent power distribution platform.
2. The intelligent power distribution system based on the safe interaction between the power grid service central station and the power data as claimed in claim 1, wherein the service power analysis unit operates as follows:
acquiring a historical operating time period of an analysis object, dividing the historical operating time period into a plurality of sub time points, and acquiring the average power consumption of each analysis object and the power consumption of each sub time point in the historical operating time period;
calculating the difference value between the electricity consumption of each sub-time point in the historical operation time period and the average electricity consumption, and acquiring an electricity quantity difference set through corresponding difference values, wherein the sequence of the subsets in the electricity quantity difference set is consistent with the sequence of the sub-time points, the subsets are divided into positive subsets and negative subsets, when the electricity consumption of the corresponding sub-time points exceeds the average electricity consumption, the corresponding subsets are positive, otherwise, when the electricity consumption of the corresponding sub-time points does not exceed the average electricity consumption, the corresponding subsets are negative;
acquiring the maximum number difference of subsets in the electric quantity difference set corresponding to each analysis object and the alternating frequency of positive and negative subsets in the corresponding electric quantity difference set, and comparing the maximum number difference of subsets in the electric quantity difference set corresponding to each analysis object and the alternating frequency of positive and negative subsets in the corresponding electric quantity difference set with a maximum number difference threshold and an alternating frequency threshold respectively:
if the maximum number difference of the subsets in the electric quantity difference set corresponding to the analysis object exceeds the maximum number difference threshold value, or the alternating frequency of the positive subset and the negative subset in the electric quantity difference set exceeds the alternating frequency threshold value, judging that the electricity consumption of the corresponding analysis object is unstable, generating an electricity consumption time adjustable signal and sending the electricity consumption time adjustable signal and the number of the corresponding analysis object to the intelligent power distribution platform;
and if the maximum number difference of the subsets in the electric quantity difference set corresponding to the analysis object does not exceed the maximum number difference threshold value, and the alternating frequency of the positive and negative subsets in the corresponding electric quantity difference set does not exceed the alternating frequency threshold value, judging that the electricity consumption of the corresponding analysis object is stable, generating an electricity consumption time non-adjustment signal, and sending the electricity consumption time non-adjustment signal and the corresponding analysis object number to the intelligent power distribution platform.
3. The intelligent power distribution system based on power grid service middleboxes and power data safety interaction of claim 1, wherein after receiving the power consumption time adjustable signal, the intelligent power distribution platform controls the power consumption time of the corresponding analysis object in real time, and staggers power grid power consumption peaks when power demand is low.
4. The intelligent power distribution system based on power grid service middleboxes and power data safety interaction of claim 1, wherein after receiving the power consumption time non-adjustment signal, the intelligent power distribution platform uniformly distributes the electric quantity to the corresponding analysis object in real time.
5. The intelligent power distribution system based on the safe interaction between the power grid service middleboxes and the power data according to claim 1, wherein the operation and maintenance service analysis unit operates as follows:
collecting the power distribution cabinet fault time and the maintenance time corresponding to each analysis object, and analyzing the power distribution cabinet fault time and the maintenance time corresponding to each analysis object:
if the fault time of the power distribution cabinet corresponding to the analysis object is earlier than the maintenance time and the interval duration between the fault time and the maintenance time exceeds the corresponding interval duration threshold, judging that the operation and maintenance state of the corresponding analysis object is abnormal, generating an operation and maintenance state abnormal signal and sending the operation and maintenance state abnormal signal to the intelligent power distribution platform;
if the fault time of the power distribution cabinet corresponding to the analysis object is earlier than the maintenance time, and the interval duration between the fault time and the maintenance time does not exceed the corresponding interval duration threshold, judging that the operation and maintenance state of the corresponding analysis object is low in efficiency, generating an operation and maintenance prediction signal and sending the operation and maintenance prediction signal to the intelligent power distribution platform;
if the fault time of the power distribution cabinet corresponding to the analysis object is later than the maintenance time, and the interval duration between the fault time and the maintenance time does not exceed the corresponding interval duration threshold, judging that the operation and maintenance of the corresponding analysis object is unqualified, generating a maintenance procedure abnormal signal and sending the maintenance procedure abnormal signal to the intelligent power distribution platform;
and if the fault time of the power distribution cabinet corresponding to the analysis object is later than the maintenance time, and the interval duration of the fault time and the maintenance time exceeds the corresponding interval duration threshold, judging that the operation and maintenance of the corresponding analysis object is qualified, generating an operation and maintenance efficient signal and sending the operation and maintenance efficient signal to the intelligent power distribution platform.
6. The intelligent power distribution system based on the power grid service middlebox and power data safety interaction of claim 1, wherein the intelligent power distribution platform performs operation and maintenance coordination on the power distribution cabinet of the corresponding analysis object after receiving the operation and maintenance state abnormal signal.
7. The intelligent power distribution system based on power grid service middleboxes and power data safety interaction according to claim 1, wherein after the intelligent power distribution platform receives the operation and maintenance demand prediction signal, the operation and maintenance prediction frequency of the corresponding analysis object is increased.
8. The intelligent power distribution system based on power grid service middleboxes and power data safety interaction of claim 1, wherein the operation and maintenance procedures corresponding to the analysis objects are optimized after the intelligent power distribution platform receives the maintenance procedure abnormal signal.
9. The intelligent power distribution system based on the safe interaction between the power grid service middleboxes and the power data according to claim 1, wherein the power distribution environment analysis unit operates as follows:
the method comprises the following steps of collecting the increasing speed of the required electric quantity of an analysis object in the power distribution process and the quantity increasing amplitude of the corresponding required power distribution analysis object, and comparing the increasing speed of the required electric quantity of the analysis object in the power distribution process and the quantity increasing amplitude of the corresponding required power distribution analysis object with an increasing speed threshold value and an increasing amplitude threshold value respectively:
if the increasing speed of the required electric quantity of the analysis object exceeds an increasing speed threshold value or the increasing amplitude of the quantity of the corresponding analysis objects needing power distribution exceeds an increasing amplitude threshold value in the power distribution process, judging that the current power distribution of the power grid has risks, generating a power grid risk signal and sending the power grid risk signal to the intelligent power distribution platform;
if the increasing speed of the required electric quantity of the analysis object does not exceed the increasing speed threshold value and the increasing amplitude of the quantity of the corresponding analysis objects needing power distribution does not exceed the increasing amplitude threshold value in the power distribution process, judging that no risk exists in the current power distribution of the power grid, generating a power grid safety signal and sending the power grid safety signal to the intelligent power distribution platform.
10. The intelligent power distribution system based on power grid business middleboxes and power data safety interaction of claim 1, wherein the intelligent power distribution platform schedules current power grid power distribution after receiving the power grid risk signal.
11. The intelligent power distribution system based on the safe interaction between the power grid service central station and the power data as claimed in claim 1, wherein the operation process of the equipment state detection unit is as follows:
gather the temperature rise speed that distribution in-process analysis object corresponds the switch board and correspond the partial discharge volume of switch board to compare the temperature rise speed that distribution in-process analysis object corresponds the switch board and the partial discharge volume that corresponds the switch board with temperature rise speed threshold value and partial discharge volume threshold value respectively:
if the temperature rising speed of the power distribution cabinet corresponding to the analysis object exceeds a temperature rising speed threshold value or the local discharge amount of the corresponding power distribution cabinet exceeds a local discharge amount threshold value in the power distribution process, judging that the power distribution cabinet corresponding to the analysis object is abnormal in operation, generating a power distribution cabinet state abnormal signal and sending the power distribution cabinet state abnormal signal to the intelligent power distribution platform;
if the temperature rising speed of the analysis object corresponding to the power distribution cabinet does not exceed the temperature rising speed threshold value and the local discharge amount of the corresponding power distribution cabinet does not exceed the local discharge amount threshold value in the power distribution process, judging that the power distribution cabinet corresponding to the analysis object normally operates, generating a power distribution cabinet state normal signal and sending the power distribution cabinet state normal signal to the intelligent power distribution platform.
12. The intelligent power distribution system based on the power grid service middlings and power data safety interaction of claim 1, wherein after the intelligent power distribution platform receives the power distribution cabinet state abnormal signal, the intelligent power distribution platform suspends power distribution of a corresponding analysis object and maintains the corresponding power distribution cabinet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210765894.8A CN114928173A (en) | 2022-07-01 | 2022-07-01 | Intelligent power distribution system based on power grid business middling station and electric power data safety interaction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210765894.8A CN114928173A (en) | 2022-07-01 | 2022-07-01 | Intelligent power distribution system based on power grid business middling station and electric power data safety interaction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114928173A true CN114928173A (en) | 2022-08-19 |
Family
ID=82816278
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210765894.8A Pending CN114928173A (en) | 2022-07-01 | 2022-07-01 | Intelligent power distribution system based on power grid business middling station and electric power data safety interaction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114928173A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115333101A (en) * | 2022-10-12 | 2022-11-11 | 国网浙江省电力有限公司宁波市北仑区供电公司 | Intelligent power distribution cabinet system and power distribution method |
| CN117895661A (en) * | 2024-03-14 | 2024-04-16 | 国网山西省电力公司太原供电公司 | Power distribution network control method and system combined with risk analysis |
-
2022
- 2022-07-01 CN CN202210765894.8A patent/CN114928173A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115333101A (en) * | 2022-10-12 | 2022-11-11 | 国网浙江省电力有限公司宁波市北仑区供电公司 | Intelligent power distribution cabinet system and power distribution method |
| CN117895661A (en) * | 2024-03-14 | 2024-04-16 | 国网山西省电力公司太原供电公司 | Power distribution network control method and system combined with risk analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114928173A (en) | Intelligent power distribution system based on power grid business middling station and electric power data safety interaction | |
| CN104730458B (en) | Generator excited system state monitoring method | |
| CN110212645B (en) | Power consumption information acquisition terminal power failure event reporting method and device | |
| CN103647276A (en) | Electric energy quality early warning system and method thereof | |
| CN105588978B (en) | A kind of detection of generated energy acquisition data intelligence and processing method based on Beidou satellite communication technology | |
| CN104410163B (en) | A kind of safety in production based on electric energy management system and power-economizing method | |
| CN115498776B (en) | Power distribution fault rapid positioning system based on intelligent fusion terminal | |
| CN115483698A (en) | System and method for evaluating operation stability of alternating current-direct current hybrid power distribution network | |
| CN115622054B (en) | Operation monitoring method and system of energy system | |
| CN110503211A (en) | Failure prediction method based on machine learning | |
| CN114530936A (en) | Data monitoring method and system for power system and storage medium | |
| CN114707761A (en) | Electric power intelligent scheduling management system | |
| CN114448348A (en) | Distributed photovoltaic operation data acquisition system and data processing method | |
| CN117154945A (en) | Intelligent monitoring method for transformer and distribution station based on cloud computing technology | |
| CN109217320A (en) | A kind of electric power system control management method | |
| CN109980305A (en) | Communication power supply intelligent maintenance device | |
| CN115986797B (en) | New energy station electrochemical energy storage system grid-connected performance detection method, device and system based on multipoint synchronous test | |
| CN116311814B (en) | High-voltage switch cabinet running state analysis and active early warning system and method | |
| CN107390592A (en) | A kind of business electrical monitoring information and mobile phone interaction communication system | |
| CN114362134B (en) | Medium-voltage line loss reduction method based on line loss qualification rate | |
| CN104979903A (en) | Patrol analysis method and device for centralized control center | |
| CN216696513U (en) | Electric energy quality monitoring system based on user side | |
| CN117391357B (en) | Scheduling self-checking system for power grid scheduling operation management based on big data | |
| CN117477794B (en) | Power distribution station power consumption management optimization system and method based on gateway machine data exchange | |
| CN114895137B (en) | Power supply quality testing method for power supply equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |