CN115498639A - Power distribution network management system based on multidata fusion - Google Patents
Power distribution network management system based on multidata fusion Download PDFInfo
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/06—Energy or water supply
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- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- 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
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Abstract
The invention discloses a power distribution network management system based on multi-data fusion, which relates to the technical field of power distribution network management, and comprises a power distribution line acquisition unit, a power grid synchronization unit and a power distribution management unit, wherein the power distribution line acquisition unit acquires a power distribution line; then, the node equipment in the controlled area is subjected to stage analysis by using a power grid dividing unit, then, the node equipment is subjected to sectional processing according to the node equipment to obtain the node number and the tail number of all the node equipment, the node equipment is divided into a plurality of branch equipment sequences according to the node number and the tail number, and each branch equipment sequence comprises a plurality of node equipment which are marked as branch equipment again; then, automatically synchronizing the branch equipment sequences of the temporary storage unit by using a synchronous acquisition unit and acquiring data to obtain all alarm time and influence numbers of all the branch equipment sequences; and then the received branch equipment sequences and all corresponding alarm time and the number of the power utilization ends are practically analyzed by utilizing the fraction unit, the importance of each branch sequence is determined, and the inspection time is determined according to the importance.
Description
Technical Field
The invention belongs to the technical field of power distribution network management, and particularly relates to a power distribution network management system based on multi-data fusion.
Background
The patent with publication number CN111027017a discloses a comprehensive evaluation system for management states of a power distribution network, which comprises: the evaluation system building module is used for building a network management state evaluation system and a comment set; an evaluation data acquisition module; for collecting scale between the 1-level evaluation indexes, scale between the 2-level evaluation indexes, and comment set voting data on the 2-level evaluation indexes; the calculation matrix establishing module is used for establishing a 1-level weight judgment matrix and a 2-level weight judgment matrix according to scales between 1-level evaluation indexes and 2-level evaluation indexes, and establishing a 2-level fuzzy evaluation matrix according to comment set voting data about the 2-level evaluation indexes; the hierarchical weight calculation module is used for solving a 1-level fuzzy weight vector and a power distribution network fuzzy weight vector through hierarchical calculation; and the evaluation result display module is used for displaying each level 1 evaluation index and the benefit evaluation result of power distribution network management. Compared with the prior art, the method has the advantages of accuracy, objectivity and the like.
This patent can provide a fine state evaluation system, but to some areas that need the control, how to judge and carry out simple effectual division to numerous and diverse distribution network, can carry out reasonable periodicity to the network of branch after the division and patrol and examine, and this has lacked a reasonable solution, and based on this, provide a solution.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a power distribution network management system based on multi-data fusion.
A power distribution network management system based on multi-data fusion comprises:
the power grid synchronization unit is used for synchronizing a power distribution network line diagram of the controlled area and marking the power distribution network line diagram as a power distribution line; the power grid synchronization unit is used for transmitting the distribution lines to the power grid division unit, the power grid division unit receives the distribution lines transmitted by the power grid synchronization unit and performs stage analysis on the distribution lines, and the specific mode of the stage analysis is as follows:
the method comprises the following steps: acquiring a distribution line of a controlled area;
step two: then, node equipment in the controlled area is designated as all equipment except the power transmission line, including a substation, a transformer and the like;
step three: performing segmentation processing according to the node equipment to obtain the node number and the tail number of all the node equipment, and dividing the node equipment into a plurality of branch equipment sequences according to the node number and the tail number, wherein each branch equipment sequence comprises a plurality of node equipment which are re-marked as branch equipment;
step four: obtaining all branch equipment sequences;
the power grid dividing unit is used for transmitting all the branch equipment sequences to the temporary storage unit, and the temporary storage unit receives the branch equipment sequences transmitted by the power grid dividing unit;
the synchronous acquisition unit is used for automatically synchronizing the branch equipment sequences of the temporary storage unit and acquiring data to obtain all alarm time and influence numbers of all the branch equipment sequences;
the synchronous acquisition unit is used for transmitting all branch equipment sequences and all corresponding alarm time and influence numbers to the fraction unit;
the score unit is used for carrying out practical analysis on the received branch equipment sequence and all corresponding alarm time and electricity consumption end numbers, and the practical analysis concrete mode is as follows:
and (4) SS1: acquiring all branch equipment sequences, and optionally selecting one branch equipment sequence;
and (4) SS2: acquiring all alarm time in the branch equipment sequence, deleting the alarm time before one year, acquiring the number of the rest alarm time, and marking the number as alarm time C;
and (4) SS3: then obtaining the rest alarm time, arranging the alarm time from front to back, obtaining the time interval between every two adjacent alarm times, marking the time interval as an alarm interval Gi, wherein i =1, i.. And n indicate that n +1 alarm times exist, and generating n alarm intervals; obtaining the mean value of Gi, marking the mean value as P, and calculating the deviation D of Gi, wherein the specific calculation formula is as follows:
and (4) SS: performing the same treatment on the rest branch device sequences to obtain the deviation Dj, j =1,. And m of all the branch device sequences and the alarm times Cj, j =1,. And m; indicating that there are m branch device sequences;
and SS5: marking the number of impacts of the branch device sequence as Yj, j =1, ·, m;
and SS6: calculating the weighted values Qj of all the branch equipment sequences by using a formula, wherein the specific calculation formula is as follows:
Qj＝1/Dj(0.49×Cj+0.41×Yj)；
and SS7: obtaining the weighted values Qj of all the branch equipment sequences, sequencing the branch equipment sequences in a mode that the weighted values Qj are from large to small, marking thirty percent of the sequences in the front of the sequencing as key attention sequences, marking the last thirty percent of the sequences as micro attention sequences, and marking the rest sequences as conventional attention sequences;
and SS8: all sequences of major interest, sequences of micro interest and sequences of general interest are obtained.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps that a power distribution line is obtained through a power grid synchronization unit; then, the node equipment in the controlled area is subjected to stage analysis by using a power grid dividing unit, then, the node equipment is subjected to sectional processing according to the node equipment to obtain the node number and the tail number of all the node equipment, the node equipment is divided into a plurality of branch equipment sequences according to the node number and the tail number, and each branch equipment sequence comprises a plurality of node equipment which are marked as branch equipment again; then, automatically synchronizing the branch equipment sequences of the temporary storage unit by using a synchronous acquisition unit and acquiring data to obtain all alarm time and influence numbers of all the branch equipment sequences;
and then the received branch equipment sequences and all corresponding alarm time and the number of the power utilization ends are practically analyzed by utilizing the fraction unit, the importance of each branch sequence is determined, and the routing inspection time is determined according to the importance.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present application provides a power distribution network management system based on multi-data fusion, which includes a power grid synchronization unit, a power grid division unit, a temporary storage unit, a synchronization acquisition unit, a number division unit, a processor, a management unit, a management terminal, and a household allocation unit;
the corresponding power grid synchronization unit is used for synchronizing a power distribution network line diagram of the controlled area and marking the power distribution network line diagram as a power distribution line; the system comprises a power transmission line, a step-down substation, a transformer and the like; the power grid synchronization unit is used for transmitting the power distribution line to the power grid division unit, the power grid division unit receives the power distribution line transmitted by the power grid synchronization unit and performs stage analysis on the power distribution line, and the specific mode of the stage analysis is as follows:
the method comprises the following steps: acquiring a distribution line of a controlled area;
step two: then node equipment in the controlled area is designated as all equipment except the power transmission line, including a substation, a transformer and the like;
step three: performing segmentation processing according to node equipment, wherein the specific mode is as follows:
s1: firstly, acquiring the node number of all node equipment from a source, wherein the source refers to a boosting substation behind a power plant, and the node number is specifically explained as follows:
if the number of nodes of any node equipment is to be acquired, the node equipment is marked as counting equipment, and then paths including the least node equipment on a plurality of paths connected by a power transmission line between the counting equipment and a source are acquired; marking the number of the node devices on the path as the number of the nodes corresponding to the counting device;
s2: and then acquiring the tail number of all the node equipment, wherein the tail number of the node equipment is acquired in the following mode:
acquiring any node device, marking the node device as a preferred device, then acquiring a plurality of paths connected by a power transmission line between the preferred device and a tail end, wherein the tail end is referred to as a power utilization end, namely a corresponding unit conveyed to a user home, automatically acquiring the paths containing the least node devices in all the paths, and marking the number of the node devices in the paths as a tail item number;
s3: sequencing all the node devices according to the sequence of the node numbers from small to large, marking the obtained sequence as a node sequence, and randomly sequencing the node numbers in the node sequence which are the same;
s4: selecting node equipment with a first node sequence, marking the node equipment as item equipment, and then acquiring all node equipment directly connected with the item equipment, wherein the direct connection refers to that no other node equipment exists between the node equipment and the item equipment; marking the node equipment with the minimum number of the tailings as second subentry equipment, then acquiring the second subentry equipment, synchronously acquiring all the node equipment directly connected with the subentry equipment, and marking the node equipment with the minimum number of the tailings as third subentry equipment; continuously marking the item equipment according to the principle until the item equipment is directly connected with the tail end;
marking all the obtained subentry devices as a first branch device sequence;
s5: eliminating all marked branch equipment sequences in the node equipment, and performing the same processing of the step S4 on the rest node equipment to obtain a second branch equipment sequence;
s6: repeating the step S5, and finishing the processing of all the node equipment to obtain a plurality of branch equipment sequences;
step four: obtaining all branch equipment sequences;
the power grid dividing unit is used for transmitting all the branch equipment sequences to the temporary storage unit, and the temporary storage unit receives the branch equipment sequences transmitted by the power grid dividing unit;
the synchronous acquisition unit is used for automatically synchronizing the branch equipment sequence of the temporary storage unit and acquiring data, and the specific acquisition mode is as follows:
acquiring alarm time when problems occur in all branch equipment sequences, wherein the alarm time is the time point when any item of equipment in the corresponding branch equipment sequence is abnormal or the power grid in charge of the branch equipment sequence has problems;
synchronously acquiring the influence number of the branch equipment sequence, wherein the influence number refers to the number of power utilization ends affected by power utilization caused by the occurrence of problems of any line or item equipment in the corresponding branch equipment sequence;
obtaining all alarm time and influence number of all branch equipment sequences;
the synchronous acquisition unit is used for transmitting all branch equipment sequences and all corresponding alarm time and influence numbers thereof to the fraction unit;
the number division unit is used for carrying out practical analysis on the received branch equipment sequence and all corresponding alarm time and the number of the power consumption ends, and the concrete practical analysis mode is as follows:
and (4) SS1: acquiring all branch equipment sequences, and optionally selecting one branch equipment sequence;
and SS2: acquiring all alarm time in the branch equipment sequence, deleting the alarm time before one year, acquiring the number of the rest alarm time, and marking the number as alarm time C;
and (4) SS3: then obtaining the rest alarm time, arranging the alarm time from front to back, obtaining the time interval between every two adjacent alarm times, marking the time interval as an alarm interval Gi, wherein i =1, i.. And n indicate that n +1 alarm times exist, and generating n alarm intervals; obtaining the mean value of Gi, marking the mean value as P, and calculating the deviation D of Gi, wherein the specific calculation formula is as follows:
and (4) SS: performing the same treatment on the rest branch device sequences to obtain the deviation Dj, j =1,. And m of all the branch device sequences and the alarm times Cj, j =1,. And m; indicating that there are m branch device sequences;
and SS5: marking the number of impacts of the branch device sequence as Yj, j =1, ·, m;
and SS6: calculating the weighted values Qj of all the branch equipment sequences by using a formula, wherein the specific calculation formula is as follows:
Qj＝1/Dj(0.49×Cj+0.41×Yj)；
and (7) SS: obtaining the weighted values Qj of all the branch equipment sequences, sequencing the branch equipment sequences in a mode that the weighted values Qj are from large to small, marking thirty percent of the sequences in the front of the sequencing as key attention sequences, marking the last thirty percent of the sequences as micro attention sequences, and marking the rest sequences as conventional attention sequences;
and SS8: obtaining all key attention sequences, micro attention sequences and conventional attention sequences;
the fraction unit is used for transmitting the key attention sequence, the micro attention sequence and the conventional attention sequence to the processor, the processor is used for acquiring a set standard inspection cycle, the standard inspection cycle is preset by an administrator and is periodically distributed to the key attention sequence, the micro attention sequence and the conventional attention sequence, and the fraction unit specifically comprises the following steps:
marking the polling period of the key attention sequence as a standard polling period which is 0.75 times;
marking the polling period of the conventional attention sequence as a standard polling period;
marking the polling period of the micro attention sequence as a standard polling period which is 1.3 times that of the micro attention sequence;
obtaining the polling periods of all key attention sequences, micro attention sequences and conventional attention sequences;
the processor is used for transmitting the polling periods of all the key attention sequences, the micro attention sequences and the conventional attention sequences to the management terminal;
the management unit is in communication connection with the processor and is used for recording all preset values.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. A distribution network management system based on multi-data fusion is characterized by comprising:
the power grid synchronization unit is used for synchronizing a power distribution network line diagram of the controlled area and marking the power distribution network line diagram as a power distribution line; the power grid synchronization unit is used for transmitting the distribution lines to the power grid division unit, the power grid division unit receives the distribution lines transmitted by the power grid synchronization unit and performs stage analysis on the distribution lines, and the specific mode of the stage analysis is as follows:
the method comprises the following steps: acquiring a distribution line of a controlled area;
step two: then node equipment of the controlled area is designated as all equipment except the power transmission line;
step three: performing segmentation processing according to the node equipment to obtain the node number and the tail number of all the node equipment, dividing the node equipment into a plurality of branch equipment sequences according to the node number and the tail number, wherein each branch equipment sequence comprises a plurality of node equipment which are marked as branch equipment again;
step four: obtaining all branch equipment sequences;
the power grid dividing unit is used for transmitting all the branch equipment sequences to the temporary storage unit, and the temporary storage unit receives the branch equipment sequences transmitted by the power grid dividing unit;
the synchronous acquisition unit is used for automatically synchronizing the branch equipment sequences of the temporary storage unit and acquiring data to obtain all alarm time and influence numbers of all the branch equipment sequences;
the synchronous acquisition unit is used for transmitting all branch equipment sequences and all corresponding alarm time and influence numbers thereof to the fraction unit;
the number division unit is used for carrying out practical analysis on the received branch equipment sequence and all corresponding alarm time and the number of the power consumption ends, and the concrete practical analysis mode is as follows:
and (4) SS1: acquiring all branch equipment sequences, and optionally selecting one branch equipment sequence;
and (4) SS2: acquiring all alarm time in the branch equipment sequence, deleting the alarm time before one year, acquiring the number of the rest alarm time, and marking the number as alarm time C;
and (4) SS3: then obtaining the rest alarm time, arranging the alarm time from front to back, obtaining the time interval between every two adjacent alarm times, marking the time interval as an alarm interval Gi, wherein i =1, i.. And n indicate that n +1 alarm times exist, and generating n alarm intervals; obtaining the mean value of Gi, marking the mean value as P, and calculating the deviation D of Gi, wherein the specific calculation formula is as follows:
and SS4: performing the same treatment on the rest branch device sequences to obtain the deviation Dj, j =1,. And m of all the branch device sequences and the alarm times Cj, j =1,. And m; indicating that there are m branch device sequences;
and SS5: marking the number of impacts of the branch device sequence as Yj, j =1, ·, m;
and SS6: calculating the weighted values Qj of all the branch equipment sequences by using a formula, wherein the specific calculation formula is as follows:
Qj＝1/Dj(0.49×Cj+0.41×Yj)；
and (7) SS: obtaining the weighted values Qj of all the branch equipment sequences, sequencing the branch equipment sequences in a mode that the weighted values Qj are from large to small, marking thirty percent of the sequences in the front of the sequencing as key attention sequences, marking the last thirty percent of the sequences as micro attention sequences, and marking the rest sequences as conventional attention sequences;
and SS8: all sequences of major interest, sequences of micro interest and sequences of general interest are obtained.
2. The system for power distribution network management based on multi-data fusion as claimed in claim 1, wherein the specific way of the segmentation processing in the third step is as follows:
s1: firstly, acquiring the number of nodes of all node equipment from a source;
s2: and then acquiring the tail number of all the node equipment, wherein the tail number of the node equipment is acquired in the following mode:
acquiring any node equipment, marking the node equipment as preferred equipment, then acquiring a plurality of paths which are connected by a power transmission line and are arranged between the preferred equipment and a tail end, wherein the tail end refers to a power utilization end, automatically acquiring the paths which contain the least node equipment in all the paths, and marking the number of the node equipment in the paths as the number of tail items;
s3: sequencing all the node devices according to the sequence of the node numbers from small to large, marking the obtained sequence as a node sequence, and randomly sequencing the node numbers in the node sequence which are the same;
s4: selecting node equipment with a first node sequence, marking the node equipment as item equipment, then acquiring all node equipment directly connected with the item equipment, marking the node equipment with the least number of the tail items as second item equipment, then acquiring the second item equipment, synchronously acquiring all the node equipment directly connected with the item equipment, and marking the node equipment with the least number of the tail items as third item equipment; continuously marking the item equipment according to the principle until the item equipment is directly connected with the tail end;
marking all the obtained subentry devices as a first branch device sequence;
s5: eliminating all marked branch equipment sequences in the node equipment, and performing the same processing of the step S4 on the rest node equipment to obtain a second branch equipment sequence;
s6: and (5) repeating the step (S5), and finishing the processing of all the node equipment to obtain a plurality of branch equipment sequences.
3. The system for power distribution network management based on multiple data fusion of claim 2, wherein the source in step S1 refers to a booster substation after a power plant, and the specific acquisition mode of the number of nodes is as follows:
if the number of nodes of any node equipment is to be acquired, the node equipment is marked as counting equipment, and then paths including the least node equipment on a plurality of paths connected by a power transmission line between the counting equipment and a source are acquired; and marking the number of the node devices on the path as the number of the nodes corresponding to the counting device.
4. The system for power distribution network management based on multi-data fusion as claimed in claim 2, wherein the direct connection in step S4 is indicated that there is no other node device between the node device and the item device.
5. The system for power distribution network management based on multiple data fusion as claimed in claim 1, wherein the specific data acquisition mode is as follows:
acquiring alarm time when problems occur in all branch equipment sequences, wherein the alarm time is the time point when any item of equipment in the corresponding branch equipment sequence is abnormal or the power grid in charge of the branch equipment sequence has problems;
synchronously acquiring the influence number of the branch equipment sequence, wherein the influence number refers to the number of power utilization ends affected by power utilization caused by the occurrence of problems of any line or item equipment in the corresponding branch equipment sequence;
and obtaining all alarm time and influence number of all branch equipment sequences.
6. The power distribution network management system based on multi-data fusion according to claim 1, wherein the fractional unit is configured to transmit the key attention sequence, the micro attention sequence and the general attention sequence to the processor, the processor is configured to obtain a set standard inspection cycle, the standard inspection cycle is preset by an administrator, and the key attention sequence, the micro attention sequence and the general attention sequence are periodically distributed, specifically:
marking the patrol cycle of the key attention sequence as a standard patrol cycle of 0.75 times;
marking the polling period of the conventional attention sequence as a standard polling period;
marking the polling period of the micro attention sequence as a standard polling period which is 1.3 times that of the micro attention sequence;
and obtaining the polling periods of all key attention sequences, micro attention sequences and conventional attention sequences.
7. The power distribution network management system based on multi-data fusion as claimed in claim 6, wherein the processor is configured to transmit the patrol inspection period of all the key attention sequences, the micro attention sequences and the regular attention sequences to the management terminal.
8. The system for power distribution network management based on multi-data fusion as claimed in claim 1, further comprising a management unit, wherein the management unit is communicatively connected to the processor for entering all the preset values.
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