CN113937795A - Power distribution station three-phase load data transmission method based on dynamic cloud coding - Google Patents
Power distribution station three-phase load data transmission method based on dynamic cloud coding 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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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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
- 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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
- H02J13/00026—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The invention relates to a transmission method of three-phase load data of a distribution substation, which encodes data such as voltage, current, phase, fault signals, network addresses and/or physical addresses in a power supply network, sets a dynamic encoding table in the transmission process of the three-phase load data of the distribution substation, optimizes and updates the time interval of the dynamic encoding table according to the characteristics of the distribution substation in the power supply network, and improves the transmission efficiency of the three-phase load data of the distribution substation.
Description
Technical Field
The invention belongs to the field of power supply network transmission, and particularly relates to the field of power supply network data processing.
Background
In a low-voltage three-phase four-wire system power supply system for urban residents and rural power grids, users mostly use single-phase loads or single three-phase loads in a mixed mode, the sizes of the loads of the users are different from the power utilization time, the power utilization imbalance condition is irregular, and the load imbalance among three phases in a power grid cannot be known in advance, so that the load imbalance among the three phases in the power grid is objective. The three-phase load imbalance can have adverse effects on the power supply safety and quality of the power distribution network, the line loss is increased, and the economic operation is one of the main embodiments of the weak operation links of the power distribution network. In order to improve the power supply quality and ensure the safe operation of power supply equipment, the three-phase load unbalance treatment is called as a key problem to be overcome by urgent need of a modern intelligent power supply system.
When the power supply network is deployed, data of each power supply network element needs to be collected, and usable results are obtained through analysis of big data for deployment. However, because the power supply network is usually large in scale, and the models, kinds, use frequencies and the like of various power supply devices are greatly different, the amount and types of data to be collected are very large. Such large-scale data transmission brings a large burden to data transmission, and the real-time performance of data is difficult to guarantee.
At present, a method for reducing redundancy by using a neural network to analyze data exists, but the network is complex in construction and limited in applicability, and a large amount of sample training is required. And the models in different cities and different scenes are different. At present, the traditional statistical method is used, a fixed coding table is used for removing data redundancy, but any coding rule is difficult to be suitable for a plurality of different scenes.
Moreover, although there are some processing methods for data redundancy, these methods are all general methods. At present, no redundant solution for three-phase load data of a power distribution station area is mentioned.
Therefore, a solution is provided for data transmission from front-end equipment to a cloud end in an intelligent power distribution three-phase load unbalance treatment process, the efficiency problem of data transmission is effectively solved, the data transmission amount is reduced, the transmission speed is increased, and the data real-time performance is improved, so that the problem to be solved urgently is solved.
Disclosure of Invention
The application describes a power distribution area three-phase load data transmission method based on dynamic cloud coding, which is characterized in that:
a three-phase load data transmission method of a power distribution station area,
defining the category of three-phase load data, including voltage, current, fault signals, network addresses and/or physical addresses and the like; deploying a plurality of acquisition units in a distribution substation area; for each acquisition unit, for each data class, a coding table is initialized, assuming there are Y classes C1、C2、…、CYCorresponding to Y code tables T1、T2、…、TY；
S1.1, when the acquisition unit starts to work, initializing Y empty code tables in a memory, and setting the version of each code table to be 0;
s1.2, when data needs to be transmitted, the identification code of the acquisition unit, the type of the data and the version of the coding table are taken, and the data coding value is calculated for the original coding of the data;
s1.3, original coding of input data;
s1.4, the output code of S1.3 is used as a data value, and forms a data packet with the identification code of the acquisition unit of S1.2, the type of the data and the version of the code table, and transmits the data packet to the service unit;
s1.5, if the acquisition unit receives a new set of coding tables from the service unit, the existing coding tables in the memory are emptied and replaced by the new coding tables, and the versions of the coding tables are replaced at the same time. If new data needs to be transmitted, repeating from S1.2;
wherein, the new coding table generating step is:
s2.0, grouping the data packets from all the acquisition units received by the service unit in the latest X seconds according to data types, wherein if Y types exist, the data are divided into Y groups;
s2.1 for the Y-th class, Y is 1,2, …, Y, for each received packet if its value has a coding length greater than NyThen change its value from low to high every NyBits as a class y sample if the code length is less than or equal to NyThen, the number of missing bits of the high bits is complemented by 0 to be used as a y type sample;
s2.2 the set of all the y-th samples is denoted Gy，GyThe corresponding coding unit is NyThe corresponding mapping unit is QyCounting the number of independent samples of the y-th class sample, and recording as My；
S2.3 if
Then no new coding table is generated for the y-th type sample.
S2.4 if
For each independent sample mi，i＝1,2,…,MyCounting the samples in the y type sample set GyThe number of the repeated times is arranged into a sequence [ n ] according to the sequence from the big to the small of the repeated timesj]M isiIn the sequence [ nj]The corresponding position in (1) is denoted as r (m)i)，r(mi)∈{1,2,…,My}。r(mi) Reflects the relative size of the sample repetition times;
the new coding table maps the samples miMapping to a code table value r (m)i)；
The service unit repeats the above-mentioned processes of S2.0-S2.4 every Z seconds, and collects the statistical data again to generate a new coding table.
The number of independent samples corresponding to the data collected by the service unit for the first time is set as (M)y)1The service unit counts the number of independent samples corresponding to the acquired data for the second time to be (M)y)2By analogy, correspondingly, the service unit interval Z after the first data acquisition1Performing next statistics, and acquiring service unit interval Z after the data is acquired for the second time2And carrying out next statistics and so on. Order:
in the above formula (1), i represents the index of the number of times of data statistics performed by the service unit, y represents the index of the data type, and (M)y)iThe independent sample number of the y-th class data at the ith statistic is represented; y represents the total number of categories of data; n is a radical ofyRepresenting the number of original coded binary digits corresponding to the y-th type sample; x is the statistical time duration defined in the previous step S2.0; ρ is an adjustment coefficient.
In particular, Z is 60 minutes.
In particular, Z ═ 10X.
A distribution station three-phase load data transmission device applied to the method.
1. The coding table and the three-phase load data packet are transmitted together, so that the redundancy of data can be quickly reduced by using the coding table, and the data transmission efficiency of a power supply network is improved.
2. By continuously updating the coding table and breaking the limitation of the fixed length of the coding table, the coding table can adapt to the situation change in the power distribution network, the error rate is reduced, and the data transmission efficiency is further improved.
3. By optimizing the time interval for updating the coding table according to the characteristics of the power grid data, the extra operation burden caused by too fast updating is avoided, and meanwhile, the data regeneration redundancy caused by too slow updating is avoided, so that the whole data transmission is more suitable for the specific requirement of three-phase load data transmission of a power distribution area.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a schematic diagram of a three-phase load data transmission system of a power distribution substation.
Detailed Description
A distribution substation three-phase load data transmission method based on dynamic cloud coding is used for a distribution substation three-phase load cloud, transmitting distribution substation three-phase load original data to a service unit from an acquisition unit, and transmitting corresponding data to the acquisition unit from the service unit according to needs.
The distribution network area three-phase load cloud is a general name of physical equipment, software running on the physical equipment and a communication network connecting the nodes, wherein the physical equipment is used for collecting, detecting and analyzing the three-phase load state of a power grid distribution network area so as to assist in finishing three-phase load unbalance management. The acquisition unit refers to physical equipment which is deployed at a user power side and used for acquiring three-phase load original data of a distribution substation and functional software running on the physical equipment, such as an intelligent ammeter; the service unit is a software facility which collects data of all the acquisition units on the cloud, analyzes the data and forms an analysis result, and mainly refers to a cloud server. All units are interconnected through communication networks such as Ethernet, Bluetooth and Wi-Fi to form a logical cloud.
The acquisition unit is deployed at the front end of a power consumer, namely near a physical residence of the power consumer, such as an intelligent electric meter, an intelligent distribution box, an intelligent transformer, an intelligent substation and the like. Each acquisition unit has a unique software identification code on the cloud for identification of transmitted data. The acquisition unit acquires power consumption data such as voltage, current, phase, load and the like through attached sensor equipment, packs and encodes the acquired data, and transmits the data to the service unit through the cloud communication network. The acquisition unit receives the coded data transmitted by the service unit through the cloud communication network, and updates a local code table in a software memory of the acquisition unit according to the received coded data.
A service unit is a generic term for a software facility that provides data analysis, logically as a whole, but physically possibly running on multiple computer hosts. And the service unit receives the data transmitted by the acquisition unit, decodes and stores the data for subsequent analysis. The service unit software stores the coding table, updates the coding table according to the received data regularly, and transmits all or part of the updated coding table as coding data to the acquisition unit according to a certain rule.
The service unit dynamically counts the transmission data, establishes and updates a code table according to the data transmitted by all the acquisition units on the cloud within a certain period, and compresses the data codes with high reference frequency. Compared with a static method preset by a coding table, the method can be used for self-adaptive dynamic adjustment, and an optimized coding scheme is established according to the statistical rule of recent data so as to achieve the aim of further improving the data transmission efficiency.
A power distribution station three-phase load data transmission method based on dynamic cloud coding comprises the following steps:
coding, decoding and transmission method of (I) acquisition unit，
The collecting unit packs and encodes collected electricity data, such as voltage, current, phase, load and other data, and transmits the data to the service unit through the cloud communication network (fig. 1).
In order to complete three-phase load imbalance management of a power distribution area, a large number of acquisition units are generally required to be installed in the power distribution area, and the acquisition units acquire power utilization data in real time or at regular time and send the data to a cloud server for analysis and statistics. On one hand, the number of the acquisition units is extremely large, and the data acquisition frequency is high, so that the data volume to be transmitted is large; on the other hand, as a whole, the information distribution contained in the data collected by each unit on the cloud is relatively concentrated, or at least relatively concentrated within a certain period of time, so that there is a great amount of information redundancy when the data collected on a single device is placed on the whole cloud, and if the data is transmitted according to the original binary coding, a great amount of bandwidth is wasted.
In the real digital equipment and network, data is usually stored and transmitted in a binary mode, in order to make the example more intuitive, part of contents in the text are explained by taking decimal numbers as the example, and the principles and the logics are not different from the binary mode, so that the realization of the invention is not influenced.
For example, when data is transmitted, some data is always transmitted repeatedly, such as time stamps. Such as transmitting 20210101, if 100 transmissions occur on 10 acquisition devices, the number of bytes transmitted is 8x10x100, 8000. If the code table is established with a certain frequency (e.g. 3 days) as follows,
{20210101:1,20210102:2,20210103:3}
then in 3 days, the transmission is still performed 100 times on 10 devices, the encoding table needs to be updated only once for each device, the number of bytes transmitted is 9 × 3 × 10 — 270, and after the encoding table is updated, only 1 byte of encoding is transmitted each time, so that the total number of bytes transmitted is 1 × 10 × 100+270 — 1270, and the data amount is only 15% of the original encoding.
The key point of reducing the data transmission amount is to establish an effective transmission method according to the characteristics of the three-phase load data. The dynamic cloud coding comprises three processes of statistics, coding and decoding. In the acquisition unit, an encoding process is involved.
Defining the original encoding of the data refers to encoding different types of data according to the encoding mode customary in the field of software development, such as the customary text encoding mode ASCII, Unicode, etc., the customary numerical encoding mode int64, int32, float64, etc., and the encoded result is a set of binary numbers.
The category of the three-phase load data is defined and classified according to the purpose and meaning of the data, such as voltage, current, or network address, physical address and the like. The category of data is predefined and is deterministic and unique on the cloud, being a set of sequential binary numbers.
The value of the three-phase load data is defined as a value obtained after the data is coded according to a certain coding mode and is a group of sequential binary numbers.
The identification code of the three-phase load data acquisition unit is unique on the cloud and is a set of sequential binary numbers.
And the version of the three-phase load data coding table represents the updating sequence of the coding table, is set by the service unit each time the coding table is updated, and is transmitted along with the coding table.
The transmission objects of the three-phase load data transmission are a three-phase load data packet and a three-phase load data coding table. And defining the basic structure of the three-phase load data packet, including the identification code of the acquisition unit, the category of the data, the value of the data and the version of the coding table.
When data needs to be transmitted, the identification code of the acquisition unit and the type of the data are known, and a binary form of the identification code and the type of the data are taken to form a data packet; the value of the data in the data packet is calculated according to the original code of the data and a code table in the memory of the acquisition unit according to the following steps.
The three-phase load data coding table is in the form of a set consisting of a plurality of key value pairs, and is as follows:
in the encoding table, there is no duplication between keys in each key-value pair, and there is no duplication between values in each key-value pair. The encoding table actually defines a mapping that transforms an input encoding key into an output encoding value. If the input code is not present in the key portion of the code table, the output is the same as the input.
On an acquisition unit, for each data class, a coding table is initialized, assuming Y classes C1、C2、…、CYCorresponding to Y code tables T1、T2、…、TY。
Coding table TyHas a fixed length NyCalled coding unit, representing NyA sequential number of binary bits. Coding table TyHas a fixed length QyCalled mapping unit, representing QyA sequential number of binary bits. Y is 1,2, …, Y.
S1.1 when the acquisition unit starts to work, initializing Y empty encoding tables in a memory, and setting the version of each encoding table to be 0.
S1.2 when data transmission is needed, the identification code of the acquisition unit, the data type and the version of the coding table are taken, and the data coding value is calculated for the original coding of the data by adopting the method S1.3.
S1.3 input is the original encoding of the data.
S1.3.1 assume the length of the input code is n1(i.e. with n)1A binary digit) and n1< N, make 0 at the front end of encoding (i.e. high order) to make the encoding length equal to N, encode the encoding after making 0 in the encoding table TyAnd (5) inquiring, acquiring an output value O as a coded output, and ending S1.3.
S1.3.2 assume the length of the input code is n1And n is1Applying input coding directly to the mapping T ═ NcAnd an output value O is obtained as the encoded output, ending S1.3.
S1.3.3 assume the length of the input code is n1And n is1>N, taking the last (i.e. lower) N bits of the input code, applying to the mapping TcAnd obtaining an output value O1The remaining data bits of the input code are applied as input to S1.3.1 until the last output O for which the remaining portion is less than or equal to Ne(ii) a Will output O1、…、OeSplicing into a group of binary codes O ═ O according to the generation sequence1…OeAnd outputting and ending S1.3.
And S1.4, the output code of S1.3 is used as a data value, and forms a data packet with the identification code of the acquisition unit of S1.2, the type of the data and the version of the code table, and transmits the data packet to the service unit.
S1.5, if the acquisition unit receives a new set of coding tables from the service unit, the existing coding tables in the memory are emptied and replaced by the new coding tables, and the versions of the coding tables are replaced at the same time. If there is new data to be transmitted, it is repeated starting from S1.2.
Method for generating (II) new code table
The service unit receives the data packet transmitted by the acquisition unit, converts the value part into an original data code, and counts the data obtained in a period of time to form a code table. This step involves a statistical process of dynamic cloud coding.
Data encoding is generally divided into fixed length encoding and variable length encoding, wherein fixed length encoding means that the encoded value of each encoded sample has a fixed number of bits, such as 20210101, 20210102, 20211201, which are all 8 bytes; variable length coding means that the number of coded value bits per coded sample is different, e.g. 101, 102, 1201. The fixed length codes have the advantages that the length of each code is equal, so that different samples are naturally aligned during transmission, and a receiver only needs to receive the codes in sequence according to the fixed length, and the defects of data redundancy and large data volume are caused; variable length coding removes data padded to maintain length alignment (the most typical example is 0 padded in the header), reducing the amount of data, but requires inserting separators between samples in order for the receiver to be able to distinguish the samples during transmission. In order to maximize the data amount compression, a variable length coding method based on statistical classification is adopted.
S2.0 grouping the data packets from all the acquisition units received by the service unit in the latest X seconds according to the data types, wherein if Y types exist, the data are divided into Y groups.
S2.1 for the Y-th class, Y is 1,2, …, Y, for each received packet if its value has a coding length greater than NyThen change its value from low to high every NyBits as a class y sample if the code length is less than or equal to NyThen the number of missing bits in the high order bits is complemented by 0 to be used as a y-th type sample.
S2.2 the set of all the y-th samples is denoted Gy。GyThe corresponding coding unit is NyThe corresponding mapping unit is Qy. Since the number of bits per sample does not exceed NyTherefore, the number of independent samples of the y-th type sample does not exceed
And (4) respectively. Counting the number of independent samples of the y-th type sample, and recording as My。
S2.3 if
Then no new coding table is generated for the y-th type sample.
S2.4 if
For each independent sample mi，i＝1,2,…,MyCounting the samples in the y type sample set GyIn the number of repetitions, and repeating the number of repetitionsThe numbers are arranged in a sequence n from large to smallj]M isiIn the sequence [ nj]The corresponding position in (1) is denoted as r (m)i)，r(mi)∈{1,2,…,My}。r(mi) Reflecting the relative size of the sample repetition times.
The new coding table maps the samples miIs mapped as r (m)i)，
A variable length coding mode is adopted in a new coding table, and the coding value of a sample with more repeated times is smaller, so that the transmitted data volume is less; the samples with less repetition times have larger coding values but do not exceed the originally coded data amount at most. Therefore, the encoding mode can reduce the transmission data quantity and improve the transmission efficiency.
The service unit repeats the processes of S2.0-S2.4 every Z seconds, collects the statistical data again and generates a new coding table, so that the coding table can reflect the statistical rule of the data in the latest time and improve the data compression ratio. By introducing the coding table and coding the information with the correlation, redundant parts of the information in the data can be removed, necessary information is reserved, the data transmission quantity is reduced, and the integrity of the information is maintained.
The value of Z may be a fixed value, for example, Z is 60 minutes, or a certain multiple of X, for example, Z is 10X, with reference to the value of the acquisition period X. Preferably, the value of Z can be dynamically estimated by the following method:
the number of independent samples corresponding to the data collected by the service unit for the first time is set as (M)y)1The service unit counts the number of independent samples corresponding to the acquired data for the second time to be (M)y)2…, respectively, service unit interval Z after the first data acquisition1Performing next statistics, and acquiring service unit interval Z after the data is acquired for the second time2And carrying out next statistics and so on. Order:
in the above formula, i represents the index of the number of times of data statistics performed by the service unit, y represents the index of the data type, and (M)y)iThe independent sample number of the y-th class data at the ith statistic is represented; y represents the total number of categories of data, and the value of Y does not vary with i; n is a radical ofyRepresenting the number of originally coded binary bits corresponding to the y-th type sample, the value also does not change with i; x is the statistical time duration defined in the previous step S2.0, and log is a logarithmic operation.
The inventors have further investigated that if the statistical interval can vary with the distribution of the data samples, the data transfer efficiency will be further optimized. After a large number of experiments, interval change formulas suitable for three-phase load data of the power distribution area are summarized according to experimental results, and parameter values of the interval change formulas are optimized. According to the formula, interval dynamic processing of next statistics can be carried out after each statistics, and if the number of independent samples of data samples of previous statistics is large, the time of next statistics interval is shortened; otherwise, the interval time of the next statistic is properly increased. And the statistical interval time is not less than twice the sampling time X. ρ is an adjustment coefficient, and is usually 0.5< ρ <5, and preferably, ρ is 1.3. This is a further aspect of the invention. According to the optimized adjustment coefficient, the statistical interval is adapted to the data distribution, which is beneficial to further reducing the data volume and improving the transmission efficiency when the sampling data distribution is linearly changed along with the time, and the following experimental data is specifically referred.
Coding, decoding and transmission method of (III) service unit
The service unit receives the electricity utilization data transmitted by the acquisition units, and after decoding, the statistical learning method in the step 2 is adopted to learn the data, a new code table is generated periodically, and the updated code table is transmitted to each acquisition unit; and after updating the code table by each acquisition unit, transmitting the electricity utilization data to the service unit according to the method in the step 1.
The service unit runs two processes simultaneously, an encoding process and a decoding process, respectively. The two processes are independent of each other. The encoding process is as S3.1-S3.3, and the decoding process is as S3.4.
S3.1 when the service unit starts to work, initializing Y empty code tables in the memory, and setting the version of the code table to be 0. The versions of the Y encoding tables are consistent.
And S3.2, every Z seconds, the service unit generates a new code table according to S2.0-S2.4 in the step 2, stores the old code table, resets the code table version to a larger value, and adds one to the old code table as an optimization.
And S3.3, the service unit sends the new coding table and the version to each acquisition unit.
And S3.4, the service unit receives the data packet from the acquisition unit, decodes the data packet according to the corresponding coding table according to the coding table version number in the data packet, and transmits the decoded data to other modules needing data on the service unit.
Compared with a conventional data coding mode, the data can be classified and counted according to the classification to generate an optimized coding scheme in a certain period, so that the data transmission amount is reduced, and the transmission efficiency is improved. The table below shows the comparison value of data transmission quantity between the scheme adopted and the scheme not adopted when the number of the acquisition units is different, and the advantages of the method in the aspect of three-phase load data transmission of the distribution station area can be seen.
Claims (5)
1. A three-phase load data transmission method for a power distribution area is characterized by comprising the following steps:
defining the category of three-phase load data, including voltage, current, phase, fault signal, network address and/or physical address; deploying a plurality of acquisition units in a distribution substation area; for each acquisition unit, pairFor each data class, a code table is initialized, assuming there are Y classes C1、C2、…、CYCorresponding to Y code tables T1、T2、…、TY；
S1.1, when the acquisition unit starts to work, initializing Y empty code tables in a memory, and setting the version of each code table to be 0;
s1.2, when data needs to be transmitted, the identification code of the acquisition unit, the type of the data and the version of the coding table are taken, and the data coding value is calculated for the original coding of the data;
s1.3, original coding of input data;
s1.4, the output code of S1.3 is used as a data value, and forms a data packet with the identification code of the acquisition unit of S1.2, the type of the data and the version of the code table, and transmits the data packet to the service unit;
s1.5, if the acquisition unit receives a new set of coding tables from the service unit, the existing coding tables in the memory are emptied and replaced by the new coding tables, and the versions of the coding tables are replaced at the same time. If new data needs to be transmitted, repeating from S1.2;
wherein, the new coding table generating step is:
s2.0, grouping the data packets from all the acquisition units received by the service unit in the latest X seconds according to data types, wherein if Y types exist, the data are divided into Y groups;
s2.1 for the Y-th class, Y is 1,2, …, Y, for each received packet if its value has a coding length greater than NyThen change its value from low to high every NyBits as a class y sample if the code length is less than or equal to NyThen, the number of missing bits of the high bits is complemented by 0 to be used as a y type sample;
s2.2 the set of all the y-th samples is denoted Gy，GyThe corresponding coding unit is NyThe corresponding mapping unit is QyCounting the number of independent samples of the y-th class sample, and recording as My；
S2.3 if
Then no new coding table is generated for the y-th type sample.
S2.4 if
For each independent sample mi，i＝1,2,…,MyCounting the samples in the y type sample set GyThe number of the repeated times is arranged into a sequence [ n ] according to the sequence from the big to the small of the repeated timesj]M isiIn the sequence [ nj]The corresponding position in (1) is denoted as r (m)i)，r(mi)∈{1,2,…,My}。r(mi) Reflects the relative size of the sample repetition times;
the new coding table maps the samples miMapping to a code table value r (m)i)；
The service unit repeats the above-mentioned processes of S2.0-S2.4 every Z seconds, and collects the statistical data again to generate a new coding table.
2. The method of claim 1, wherein:
the number of independent samples corresponding to the data collected by the service unit for the first time is set as (M)y)1The service unit counts the number of independent samples corresponding to the acquired data for the second time to be (M)y)2By analogy, correspondingly, the service unit interval Z after the first data acquisition1Performing next statistics, and acquiring service unit interval Z after the data is acquired for the second time2And carrying out next statistics and so on. Order:
in the above formula (1), i represents the index of the number of times of data statistics performed by the service unit, y represents the index of the data type, and (M)y)iThe independent sample number of the y-th class data at the ith statistic is represented; y represents the total number of categories of data; n is a radical ofyRepresents the corresponding source of the y type sampleThe number of binary bits to start encoding; x is the statistical time duration defined in the previous step S2.0; ρ is an adjustment coefficient.
3. The method of claim 1, wherein: and Z is 60 minutes.
4. The method of claim 1, wherein: and Z is 10X.
5. A distribution station three-phase load data transmission device applied to the method.
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| CN106790550A (en) * | 2016-12-23 | 2017-05-31 | 华中科技大学 | A kind of system suitable for the compression of power distribution network Monitoring Data |
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| EP0265342A2 (en) * | 1986-10-24 | 1988-04-27 | Sangamo Weston, Inc. | Distribution energy management system |
| CN106790550A (en) * | 2016-12-23 | 2017-05-31 | 华中科技大学 | A kind of system suitable for the compression of power distribution network Monitoring Data |
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