CN111177101A - Power distribution network multidimensional visualization platform based on big data architecture - Google Patents
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Abstract
The invention discloses a power distribution network multidimensional visualization platform based on a big data framework, which relates to the technical field of power distribution networks and is characterized in that data processing of a data integration and management module, a data storage module, a data fusion module, a power distribution network data processing module, a power distribution network comprehensive early warning management module and a visualization large screen comprehensive display module is realized through a communication technology, power distribution regulation and control are improved and upgraded, and real-time data acquisition and monitoring in a power distribution network are realized; the multi-dimensional visual platform of the power distribution network constructed based on the geographic information system realizes the global observability of the power distribution network, visually displays information such as network distribution, real-time running state and geographic position of the power distribution network based on a big data analysis framework in a dynamic or static chart form, forms a multifunctional application platform capable of realizing operation maintenance, analysis management, intelligent prediction and the like, and solves the problems that the existing supervision on the power distribution network is mainly used in a dispersed working mode and the operation process is more difficult and complicated.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a power distribution network multi-dimensional visualization platform based on a big data framework.
Background
With the continuous development of refined management and informatization construction, an integrated distribution network platform architecture of an operation management and control system, a load demand prediction system, a power transaction system, an information application system and the like is gradually formed, and massive, multidimensional, multisource and multiscale distribution network operation data are accumulated. The electric power big data bring new opportunities for the construction of a power distribution network visualization platform, can accurately predict future load requirements through data analysis, provide effective corrective measures and a complete planning scheme, and realize the real-time monitoring of the system running state, thereby making more reasonable operation selection.
Compared with a power distribution network platform based on a big data architecture, the traditional power distribution network has certain limitation in the aspect of regulation and control of the power distribution network. Because the technical links and the electrical equipment related to the adjustment and control of the power distribution network are involved, the adjustment process cannot be smoothly completed by depending on the engineering drawing of the power distribution network. In addition, if errors occur during the adjustment process, even small points of failure can affect the operation and condition of various equipment links on the line, which in turn can lead to overall operational disadvantages of the distribution line. Secondly, at present, the supervision of the power distribution network is mainly used for a decentralized working mode, the operation process is more difficult and complicated, and some dispatchers excessively rely on working experience.
Disclosure of Invention
The invention aims to provide a power distribution network multidimensional visualization platform based on a big data architecture, so that the defects that the existing power distribution network supervision is mainly used in a decentralized working mode and the operation process is more difficult and complicated are overcome.
The data integration and management module is used for accessing and integrating multi-source data of the power distribution network and monitoring and abnormal processing the multi-source data of the power distribution network;
the data storage module is used for accessing the multi-source data of the power distribution network collected by the data integration and management module, classifying the multi-source data of the power distribution network and storing a relational database, a real-time database and an HDFS (high-level distributed file system) used by a multi-dimensional visualization platform of the power distribution network based on a big data architecture according to the type of the multi-source data of the power distribution network;
the data fusion module is used for performing archive data fusion, service data fusion and operation data fusion on the multi-source data of the power distribution network in the data storage module;
the power distribution network data processing module is used for performing quality control on the data fused by the data fusion module according to actual requirements, and performing asset operation efficiency evaluation, layered and partitioned power supply reliability evaluation, row state evaluation, weak link identification, safety risk evaluation and early warning, equipment asset allocation optimization and equipment operation economy analysis on the data subjected to quality control according to the actual requirements;
the power distribution network comprehensive early warning management module is used for displaying and early warning data processed by the power distribution network data processing module and having data quality problems; the power distribution network early warning system is used for being connected with a GIS (geographic information system) through a data integration and management module, and realizing comprehensive early warning display of power distribution network power supply reliability index management and control, distribution network weak links, equipment running states and the like through the GIS; the system is used for connecting a meteorological system through a data integration and management module and displaying and early warning severe meteorological conditions such as typhoon, thunder and lightning and the like in real time; the system is used for displaying and early warning the safety risk assessment and early warning results processed by the power distribution network data processing module; and
and the visual large-screen comprehensive display module is used for displaying the data and results processed by the power distribution network multi-dimensional visual platform based on the large data architecture in a centralized manner.
Further, the power distribution network multi-source data comprises: the method comprises the following steps that production service data of an asset management system, such as equipment account information, a grid structure, distribution network fault rush repair, equipment power failure information, power supply reliability, equipment defects, line faults and the like, are obtained; customer files, power grid models, electricity utilization information, business expansion data and customer complaint data of the marketing system; measuring the factor data of the distribution and transformation current, voltage, active power, reactive power and power of the automatic system; dispatching the current, voltage and switch state data of the line outlet of the automatic system; distribution network model information of a GIS, a transformer substation primary wiring diagram and a feeder line single line diagram; the weather information of the weather system, such as thunder, typhoon, rainstorm, high temperature, strong wind, and the like, and weather actual condition and forecast information data.
Further, the data integration and management module monitors the connection state, the data flow, the connection time and the data packet information of the multi-source data acquisition link of the power distribution network in real time; and processing and alarming the abnormal state of the accessed source system and the network channel.
Furthermore, in the data storage module, the relational database is used for storing the structured data of a client file, a power grid model and a distribution network equipment standing book, the real-time database is used for storing the structured data of acquisition data and distribution network operation data, and the HDFS distributed file system is used for storing the semi-structured data of a regional economic data report and the unstructured data of an infrared picture.
Further, in the data fusion module, the archive data includes: station line change data, distribution network equipment ledger data and service data; the archive data fusion follows a unified power grid model standard, station line to user is taken as a main line, the accessed multi-source data of the power distribution network are uniformly mapped, and a mapping relation between archive data is established, namely, the station line to user model is sorted and a mapping relation between a distribution network equipment account model and a power grid model is established; the service data fusion is effective fusion of the distribution and transformation current, voltage, active power, reactive power and power factor data of the metering automatic system and the line outlet current, voltage and switch state data of the dispatching automatic system; the operation data fusion is the fusion of the metering automation data and the dispatching automation data of the unified measurement code.
Further, in the power distribution network data processing module, the quality management firstly divides the data fused by the data fusion module into static data and dynamic data; the static data refers to production service data of an asset management system, such as equipment account information, distribution network fault rush repair, equipment power failure information, power supply reliability, equipment defects, line faults and the like; customer files, power grid models, electricity utilization information, business expansion data and customer complaint data of the marketing system; the dynamic data refers to the factor data of the distribution and transformation current, voltage, active power, reactive power and power of the metering automation system; dispatching the current, voltage and switch state data of the line outlet of the automatic system; and respectively establishing business rules according to the characteristics of the static data and the dynamic data to check data across different source systems, thereby realizing the consistency of data processing.
Further, the content displayed by the visual large-screen comprehensive display module comprises: the method comprises the steps of asset full-view display of a distribution network acquired from an asset management system, distribution network data quality conditions obtained by processing of a distribution network data processing module, asset operation efficiency evaluation of the distribution network data processing module, layered and partitioned power supply reliability evaluation, operation state evaluation, weak link identification, safety risk evaluation and early warning, equipment asset configuration optimization and equipment operation economy analysis processing results, and contents needing early warning display of the distribution comprehensive early warning management module.
Further, the power distribution network data processing module includes: the system comprises a power distribution network asset operation efficiency evaluation module, a power distribution network layered and partitioned power supply reliability evaluation module, a power distribution network operation state evaluation module, a power distribution network weak link identification module, a power distribution network safety risk evaluation and early warning module, a power distribution network equipment asset allocation optimization module and a power distribution network equipment operation economy analysis module;
the power distribution network asset operation efficiency evaluation module is used for determining a data processing method for asset operation efficiency evaluation according to data requirements of power distribution network asset operation efficiency analysis, and performing asset operation efficiency evaluation processing on the operation years, load rates, faults and defect data of lines and distribution transformers by using the data processing method to obtain the incidence relation between the power distribution network asset operation efficiency and equipment attributes, load characteristics and the external environment of the economic society;
the power distribution network layered and partitioned power supply reliability evaluation module takes historical equipment fault trip-out data of an asset management system stored in the data storage module as support, comprehensively evaluates the relevance between the power supply reliability and a power distribution network grid structure, equipment ledger data, fault defect data and reliability indexes, adopts a gray relevance analysis method to perform relevance calculation on line historical fault trip-out data, the line grid structure and equipment operation life data, excavates leading factors influencing the operation reliability, corrects the fault rate of elements through the leading factors influencing the power distribution network reliability, automatically identifies the power distribution network grid topological structure based on a GIS geographic information system, calculates the reliability indexes of grid frames in different areas under the condition of not inputting data or inputting a small amount of parameters, and realizes the power supply reliability evaluation of the distribution network layered and partitioned areas;
the power distribution network running state evaluation module is used for constructing a power distribution network running state evaluation index system and comprehensively scoring the running condition of power distribution network equipment;
the power distribution network operation risk assessment and early warning module is used for assessing and early warning the operation risk of a power distribution area;
the power distribution network equipment asset allocation optimization module is used for researching the data requirements of lean management and production support technology of the power distribution network according to the lean management and the optimal allocation of the power distribution network, and improving the overall operation optimal allocation, reliability and economy of the power distribution network;
the power distribution network equipment operation economy analysis module is used for establishing a distribution network layered partition multi-dimensional reliability evaluation system according to political economy level indexes, power grid structure and equipment level indexes and operation and maintenance management level indexes of different regions; according to the result and the reliability target calculated by the layered partition reliability evaluation module, a differentiated reliability improvement strategy is provided, and applicability and economy analysis are performed; according to the marginal cost and marginal benefit theory based on power supply reliability and different power supply unit echelons, a reliability cost and reliability benefit calculation model is established, and the model achieves balance between power supply reliability and economic cost by maximizing the ratio of the reliability benefit to the total cost of the reliability transformation cost.
Further, the power distribution network running state evaluation module is used for constructing a power distribution network running state evaluation index system and comprehensively scoring the running condition of power distribution network equipment; the method comprises the steps that the running state score of power distribution network equipment is used as a target layer, several key indexes of power distribution network running, namely load rate, voltage quality, running faults, three-phase imbalance and power supply reliability, are used as running state evaluation index system criterion layers, and line heavy overload proportion, distribution transformer heavy overload proportion, line fault rate and three-phase imbalance proportion indexes are used as index layers to form a power distribution network running state evaluation index system; and determining the weight of the operation state evaluation index by adopting an AHP analytic hierarchy process, and performing weighted comprehensive calculation to obtain an equipment state evaluation score.
Further, the power distribution area operation risk assessment and early warning comprises the following steps:
(1) determining a risk evaluation index of a power distribution area;
(2) predicting the running state Yt + T of the single line/single distribution transformer at the time T + T by using a DBN model;
(3) calculating a power distribution area risk assessment index value according to the result predicted in the step (2);
(4) and (4) performing risk grade assessment and early warning measure formulation according to the power distribution area risk assessment index value obtained in the step (3).
Compared with the prior art, the invention has the following beneficial effects:
the power distribution network multidimensional visualization platform based on the big data architecture provided by the invention realizes data processing of the data integration and management module, the data storage module, the data fusion module, the power distribution network data processing module, the power distribution network comprehensive early warning management module and the visual large-screen comprehensive display module through a communication technology, improves and upgrades power distribution regulation and control, and can realize real-time data acquisition and monitoring in a power distribution network by adding various communication channels such as wireless communication, carrier communication and the like; a multi-dimensional visual platform of a power distribution network constructed based on a Geographic Information System (GIS) realizes the global observability of the power distribution network, and visually displays information such as network distribution, real-time running state and geographic position of the power distribution network in a dynamic or static chart form based on a big data analysis architecture, so that a multifunctional application platform capable of realizing operation maintenance, analysis management, intelligent prediction and the like is formed, and the problems that the existing supervision of the power distribution network is mainly used in a dispersed working mode and the operation process is more difficult and complicated are solved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only one embodiment of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a power distribution network multidimensional visualization platform based on a big data architecture.
Detailed Description
The technical solutions in the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
As shown in fig. 1, the multidimensional visualization platform of the power distribution network based on the big data architecture provided by the present invention includes: the system comprises a data integration and management module, a data storage module, a data fusion module, a power distribution network data processing module, a power distribution network comprehensive early warning management module and a visual large-screen comprehensive display module.
The data integration and management module is used for integrating the multi-source data of the power distribution network in an ETL (extract transform load) and WebService mode according to the interface protocols and the data attributes of all the service systems, and the multi-source data of the power distribution network comprises the following steps: the method comprises the following steps that production service data of an asset management system, such as equipment account information, a grid structure, distribution network fault rush repair, equipment power failure information, power supply reliability, equipment defects, line faults and the like, are obtained; customer files, power grid models, electricity utilization information, business expansion data and customer complaint data of the marketing system; measuring the factor data of the distribution and transformation current, voltage, active power, reactive power and power of the automatic system; dispatching the current, voltage and switch state data of the line outlet of the automatic system; distribution network model information of a GIS, a transformer substation primary wiring diagram and a feeder line single line diagram; the multi-source data integration function of the power distribution network is realized by the multi-source data of the power distribution network in the practical application ranges of meteorological information such as thunder, typhoon, rainstorm, high temperature and strong wind of a meteorological system, meteorological actual condition and forecast information data, external regional economic data and the like.
And the data integration and management module is also used for monitoring and exception handling of the accessed multi-source data of the power distribution network. Monitoring refers to monitoring the connection state, data flow, connection time and data packet information of a multi-source data acquisition link of the power distribution network in real time; and processing and alarming the abnormal state of the accessed source system, network channel and the like. The source system includes: asset management system, measurement automation system, scheduling automation system, marketing system, GIS geographic information system. The exception handling is the problem that data is lost due to abnormal conditions (if the network is interrupted and the like) in the access process of the data integration and management module and the source system, and provides query statistical analysis for the abnormal conditions.
(1) The main functions of access monitoring include:
providing an interface to facilitate real-time monitoring of the connection state, data flow, connection time, data packet information and the like of the data acquisition link;
providing an interface to facilitate statistics and queries of connection states, running time, down time, data traffic, and the like;
providing an interface to facilitate control operations such as running, stopping and the like on the communication link;
and providing an alarm function when the states of the access source system, the network channel and the like are abnormal.
(2) The access exception handling function mainly comprises:
for the abnormal operation condition of the access source system, after the abnormal condition is recovered, an additional recording mechanism is provided to ensure that the data is not lost;
providing functions of inquiring and counting access abnormal information, wherein the inquiring content comprises the following steps: time of occurrence, cause, etc.; the statistical functions include: statistics of the frequency of occurrence of anomalies, etc.
The data storage module is used for accessing the multi-source data of the power distribution network collected by the data integration and management module and dividing the multi-source data of the power distribution network into: the system comprises real-time data, quasi-real-time data and non-real-time data, and stores a relational database, a real-time database and an HDFS (high-level data file system) distributed file system which are used by a power distribution network multi-dimensional visualization platform based on a big data framework according to the type of multi-source data of the power distribution network, wherein the relational database is used for storing structured data such as client files, power grid models and distribution network equipment accounts, the real-time database is used for storing structured data such as acquisition class data and distribution network operation data, and the HDFS distributed file system stores area economic data and reports semi-structured data, infrared pictures and other non-structured data. The types of multi-source data of the power distribution network comprise: there are structured, semi-structured and unstructured data.
And the data fusion module is used for performing archive data fusion, service data fusion and operation data fusion on the multi-source data of the power distribution network in the data storage module. The archive data includes: station line change data, distribution network equipment ledger data and service data; and the archive data fusion follows a unified power grid model standard, station line to user is taken as a main line, the accessed multi-source data of the power distribution network are uniformly mapped, and the mapping relation between the archive data is established, namely the station line to user model is combed and the mapping relation between a distribution network equipment account model and a power grid model is established. The service data fusion is effective fusion of the distribution and transformation current, voltage, active power, reactive power and power factor data of the metering automatic system and the line outlet current, voltage and switch state data of the dispatching automatic system. The operation data fusion is to fuse the metering automation data, the dispatching automation data and the like of the unified measurement code.
And the power distribution network data processing module is used for carrying out quality control on the data fused by the data fusion module according to actual requirements, and carrying out asset operation efficiency evaluation, layered and partitioned power supply reliability evaluation, row state evaluation, weak link identification, safety risk evaluation and early warning, equipment asset allocation optimization and equipment operation economy analysis on the data subjected to quality control according to the actual requirements.
The quality control of the data is to perform data preprocessing on the data after the data fusion module is fused, wherein the data preprocessing comprises data quality detection and bad data restoration. The data quality detection comprises vacancy, noise, non-standardization and the like of the data after the data fusion module is fused. The data quality management firstly divides the data fused by the data fusion module into static data and dynamic data. The static data refers to production service data of an asset management system, such as equipment account information, distribution network fault rush repair, equipment power failure information, power supply reliability, equipment defects, line faults and the like; customer files, power grid models, electricity utilization information, business expansion data and customer complaint data of the marketing system; the dynamic data refers to the factor data of the distribution and transformation current, voltage, active power, reactive power and power of the metering automation system; dispatching the current, voltage and switch state data of the line outlet of the automatic system; and respectively establishing business rules according to the characteristics of the static data and the dynamic data to check data across different source systems, thereby realizing the consistency of data processing.
The power distribution comprehensive early warning management module is used for displaying and early warning data which are processed by the power distribution network data processing module and have data quality problems; the power distribution network early warning system is used for being connected with a GIS (geographic information system) through a data integration and management module, and realizing comprehensive early warning display of power distribution network power supply reliability index management and control, distribution network weak links, equipment running states and the like through the GIS; the system is used for connecting a meteorological system through a data integration and management module and displaying and early warning severe meteorological conditions such as typhoon, thunder and lightning and the like in real time; and the safety risk assessment and early warning result processing module is used for displaying and early warning the safety risk assessment and early warning result processed by the power distribution network data processing module.
The system comprises a visual large-screen comprehensive display module, a power distribution network comprehensive early warning management module and a power distribution network comprehensive early warning management module, wherein the visual large-screen comprehensive display module is used for centrally displaying data and results of a power distribution network multidimensional visual platform based on a large data framework, and comprises asset overall display of a power distribution network acquired from an asset management system, quality conditions of distribution network data processed by the power distribution network data processing module, asset operation efficiency evaluation of the power distribution network data processing module, hierarchical and regional power supply reliability evaluation, operation state evaluation, weak link identification, safety risk evaluation and early warning, equipment asset configuration optimization and equipment operation economy analysis processing results, and scene result display of contents needing early warning display of the power distribution comprehensive early warning; the size of an interface displayed by the visual large-screen comprehensive display module is designed according to the resolution ratio and the size of a large screen displayed, the display scheme comprises the layout, the operation, the navigation, the style, the interaction mode and the like of display contents, and the visual large-screen comprehensive display scheme of the production business of the power distribution network is designed according to corresponding display themes of business division.
With further reference to fig. 1, the power distribution network data processing module includes: the system comprises a power distribution network asset operation efficiency evaluation module, a power distribution network layered and partitioned power supply reliability evaluation module, a power distribution network operation state evaluation module, a power distribution network weak link identification module, a power distribution network safety risk evaluation and early warning module, a power distribution network equipment asset allocation optimization module and a power distribution network equipment operation economy analysis module.
And the power distribution network asset operation efficiency evaluation module determines a data processing method for asset operation efficiency evaluation according to the data requirements of power distribution network asset operation efficiency analysis, and performs asset operation efficiency evaluation processing on the operation years, load rates, faults and defect data of the line and the power distribution transformer by using the data processing method to obtain the association relation between the power distribution network asset operation efficiency and the equipment attributes, load characteristics and the external environment of the economic society.
A power distribution network layered and partitioned power supply reliability evaluation module is used for comprehensively evaluating the relevance between power supply reliability and a power distribution network grid structure, equipment account data, fault defect data and reliability indexes (a system average power failure duration index SAIDI, a system average power failure frequency SAIFI and an average power supply reliability ASAI) by taking historical equipment fault trip data of an asset management system stored in a data storage module as a support, carrying out relevance calculation on the line historical fault trip data, the line grid structure and the equipment operation age data by adopting a grey relevance analysis method, mining leading factors influencing the operation reliability, such as weather, operation age, equipment faults, equipment defects and the grid structure, correcting the component fault rate (the component fault rate is 100 of the equipment fault times/the total number of equipment) by the leading factors influencing the power distribution network reliability, automatically identifying the power distribution network grid topological structure based on a GIS (geographic information system), under the condition of no input data or a small amount of input parameters, reliability indexes of net racks in different areas are calculated, and power supply reliability assessment of the distribution network in the layered and partitioned areas is achieved.
And the power distribution network running state evaluation module is used for constructing a power distribution network running state evaluation index system and comprehensively scoring the running condition of the power distribution network equipment. The method comprises the steps of taking the running state score of the power distribution network equipment as a target layer, taking several key indexes of the running of the power distribution network, namely load rate, voltage quality, running faults, three-phase imbalance and power supply reliability, as running state evaluation index system criterion layers, and taking line heavy overload proportion, distribution transformer heavy overload proportion, line fault rate and three-phase imbalance proportion indexes as index layers to form a power distribution network running state evaluation index system. And determining the weight of the operation state evaluation index by adopting an AHP analytic hierarchy process, and performing weighted comprehensive calculation to obtain an equipment state evaluation score.
The power distribution network operation risk assessment and early warning module comprises the following steps:
(1) and determining a risk assessment index of the power distribution area. The risk assessment indexes of the power distribution area are as follows: the running risk of the system is measured by the proportion of the number of lines/distribution transformers with abnormal running states (including voltage overrun, heavy overload and current three-phase unbalance) to the total number of lines/transformers in the evaluated area.
(2) Predicting the running state Yt + T (voltage, load rate and three-phase unbalance) of the single line/single distribution transformer at the time T + T by using a DBN model;
(3) calculating a power distribution area risk assessment index value according to the result predicted in the step (2);
(4) and performing risk grade assessment and early warning measure formulation according to the risk assessment index value of the power distribution area. According to the power distribution area risk assessment method in the step (1) and the step (2), the proportion (namely risk value) of the total number of the lines/distribution transformers of the power distribution area (which can be a certain power supply partition/power supply substation) with abnormal operation conditions is calculated, and the higher the proportion value is, the higher the risk degree is, the more attention is needed to be paid and the control strategy is implemented. And dividing the proportional value into four risk levels I, II, III and IV according to a linear relation, and giving real-time early warning and measure schemes of the operation risk of the power distribution system in the module IV according to the given risk levels.
The asset allocation optimization module of the power distribution network equipment researches data requirements of lean management and production support technology of the power distribution network according to lean management and optimal allocation of the power distribution network, considers constraint conditions such as asset efficiency and risk level aiming at scenes such as structure optimization, distribution transformation and capacity increase optimization and operation economy improvement of the power distribution network, realizes the overall operation optimization allocation and reliability and economy improvement of the power distribution network, and improves the lean management level of the power distribution network.
The power distribution network equipment operation economy analysis module is used for establishing a distribution network layered partition multi-dimensional reliability evaluation system according to political and economic level indexes, power grid structure and equipment level indexes, operation and maintenance management level indexes and the like of different regions; and according to the result and the reliability target calculated by the hierarchical partition reliability evaluation module, providing a differentiated reliability improvement strategy and carrying out applicability and economic analysis. According to the marginal cost and marginal benefit theory based on power supply reliability and different power supply unit echelons, a reliability cost and reliability benefit calculation model is established, and the model achieves balance between power supply reliability and economic cost by maximizing the ratio of the reliability benefit (expected power shortage EENS) to the total cost of reliability transformation cost (equipment investment cost and operation maintenance cost).
In the visual large-screen comprehensive display module, the operation efficiency scores of distribution network lines and distribution transformers obtained by connecting the distribution network asset operation efficiency evaluation module and combining the distribution network data processing module are respectively displayed according to four levels of provinces, cities and counties.
Reliability indexes such as reliability evaluation grading values, power supply reliability rates, user average power failure time, user average power failure times and the like obtained by connecting the power distribution network layered and partitioned power supply reliability evaluation module and combining the power distribution network data processing module are respectively displayed according to four levels of provinces, cities and counties.
And the data such as the line heavy overload times and the heavy overload rate, the distribution transformer heavy overload times and the heavy overload rate, the three line unbalance rates and the details and the like obtained by combining the power distribution network operation state evaluation module and the power distribution network data processing module are respectively displayed according to four levels of provinces, cities and counties.
The lines and the distribution transformers which are obtained by combining the power distribution network weak link identification module and the power distribution network data processing module and have more fault times, frequent fault reasons and more defect times are respectively displayed according to four levels of provinces, cities, counties and counties.
The operation states of the lines and the distribution transformers, such as warning states, normal states, fault states and the like, obtained by connecting the power distribution network safety risk assessment and early warning module and combining the power distribution network data processing module are respectively displayed according to four levels of provinces, cities, counties and the like.
And the distribution network structure optimization data and the distribution transformation capacity-increasing optimization data obtained by connecting the distribution network equipment asset configuration optimization module and combining the distribution network data processing module are respectively displayed according to four levels of provinces, cities and counties.
And the economic investment scheme of the line and the distribution transformer obtained by connecting the power distribution network equipment operation economic analysis module and combining the power distribution network data processing module is respectively displayed according to four levels of provinces, cities, counties and places.
In summary, the power distribution network multidimensional visualization platform based on the big data architecture realizes data processing of the data integration and management module, the data storage module, the data fusion module, the power distribution network data processing module, the power distribution network comprehensive early warning management module and the visual large-screen comprehensive display module through a communication technology, improves and upgrades power distribution regulation, and can realize real-time data acquisition and monitoring in a power distribution network by adding various communication channels such as wireless communication and carrier communication; a multi-dimensional visual platform of a power distribution network constructed based on a Geographic Information System (GIS) realizes the global observability of the power distribution network, and intuitively displays information such as network distribution, real-time running state, geographic position and the like of the power distribution network in a dynamic or static chart form based on a big data analysis architecture to form a multifunctional application platform capable of realizing operation maintenance, analysis management, intelligent prediction and the like.
The above disclosure is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or modifications within the technical scope of the present invention, and shall be covered by the scope of the present invention.
Claims (10)
1. The utility model provides a distribution network multidimension visual platform based on big data framework which characterized in that: the method comprises the following steps:
the data integration and management module is used for accessing and integrating multi-source data of the power distribution network and monitoring and abnormal processing the multi-source data of the power distribution network;
the data storage module is used for accessing the multi-source data of the power distribution network collected by the data integration and management module, classifying the multi-source data of the power distribution network and storing a relational database, a real-time database and an HDFS (high-level distributed file system) used by a multi-dimensional visualization platform of the power distribution network based on a big data architecture according to the type of the multi-source data of the power distribution network;
the data fusion module is used for performing archive data fusion, service data fusion and operation data fusion on the multi-source data of the power distribution network in the data storage module;
the power distribution network data processing module is used for performing quality control on the data fused by the data fusion module according to actual requirements, and performing asset operation efficiency evaluation, layered and partitioned power supply reliability evaluation, row state evaluation, weak link identification, safety risk evaluation and early warning, equipment asset allocation optimization and equipment operation economy analysis on the data subjected to quality control according to the actual requirements;
the power distribution network comprehensive early warning management module is used for displaying and early warning data processed by the power distribution network data processing module and having data quality problems; the power distribution network early warning system is used for being connected with a GIS (geographic information system) through a data integration and management module, and realizing comprehensive early warning display of power distribution network power supply reliability index management and control, distribution network weak links, equipment running states and the like through the GIS; the system is used for connecting a meteorological system through a data integration and management module and displaying and early warning severe meteorological conditions such as typhoon, thunder and lightning and the like in real time; the system is used for displaying and early warning the safety risk assessment and early warning results processed by the power distribution network data processing module; and
and the visual large-screen comprehensive display module is used for displaying the data and results processed by the power distribution network multi-dimensional visual platform based on the large data architecture in a centralized manner.
2. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: the power distribution network multi-source data comprises: the method comprises the following steps that production service data of an asset management system, such as equipment account information, a grid structure, distribution network fault rush repair, equipment power failure information, power supply reliability, equipment defects, line faults and the like, are obtained; customer files, power grid models, electricity utilization information, business expansion data and customer complaint data of the marketing system; measuring the factor data of the distribution and transformation current, voltage, active power, reactive power and power of the automatic system; dispatching the current, voltage and switch state data of the line outlet of the automatic system; distribution network model information of a GIS, a transformer substation primary wiring diagram and a feeder line single line diagram; the weather information of the weather system, such as thunder, typhoon, rainstorm, high temperature, strong wind, and the like, and weather actual condition and forecast information data.
3. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: the data integration and management module monitors the connection state, the data flow, the connection time and the data packet information of the multi-source data acquisition link of the power distribution network in real time; and processing and alarming the abnormal state of the accessed source system and the network channel.
4. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: in the data storage module, the relational database is used for storing client files, a power grid model and structural data of a distribution network equipment standing book, the real-time database is used for storing structured data of collected data and distribution network operation data, and the HDFS distributed file system is used for storing semi-structured data of regional economic data reports and unstructured data of infrared pictures.
5. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: in the data fusion module, the archive data includes: station line change data, distribution network equipment ledger data and service data; the archive data fusion follows a unified power grid model standard, station line to user is taken as a main line, the accessed multi-source data of the power distribution network are uniformly mapped, and a mapping relation between archive data is established, namely, the station line to user model is sorted and a mapping relation between a distribution network equipment account model and a power grid model is established; the service data fusion is effective fusion of the distribution and transformation current, voltage, active power, reactive power and power factor data of the metering automatic system and the line outlet current, voltage and switch state data of the dispatching automatic system; the operation data fusion is the fusion of the metering automation data and the dispatching automation data of the unified measurement code.
6. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: in the power distribution network data processing module, the quality control firstly divides the data fused by the data fusion module into static data and dynamic data; the static data refers to production service data of an asset management system, such as equipment account information, distribution network fault rush repair, equipment power failure information, power supply reliability, equipment defects, line faults and the like; customer files, power grid models, electricity utilization information, business expansion data and customer complaint data of the marketing system; the dynamic data refers to the factor data of the distribution and transformation current, voltage, active power, reactive power and power of the metering automation system; dispatching the current, voltage and switch state data of the line outlet of the automatic system; and respectively establishing business rules according to the characteristics of the static data and the dynamic data to check data across different source systems, thereby realizing the consistency of data processing.
7. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: the contents displayed by the visual large-screen comprehensive display module comprise: the method comprises the steps of asset full-view display of a distribution network acquired from an asset management system, distribution network data quality conditions obtained by processing of a distribution network data processing module, asset operation efficiency evaluation of the distribution network data processing module, layered and partitioned power supply reliability evaluation, operation state evaluation, weak link identification, safety risk evaluation and early warning, equipment asset configuration optimization and equipment operation economy analysis processing results, and contents needing early warning display of the distribution comprehensive early warning management module.
8. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: the power distribution network data processing module comprises: the system comprises a power distribution network asset operation efficiency evaluation module, a power distribution network layered and partitioned power supply reliability evaluation module, a power distribution network operation state evaluation module, a power distribution network weak link identification module, a power distribution network safety risk evaluation and early warning module, a power distribution network equipment asset allocation optimization module and a power distribution network equipment operation economy analysis module;
the power distribution network asset operation efficiency evaluation module is used for determining a data processing method for asset operation efficiency evaluation according to data requirements of power distribution network asset operation efficiency analysis, and performing asset operation efficiency evaluation processing on the operation years, load rates, faults and defect data of lines and distribution transformers by using the data processing method to obtain the incidence relation between the power distribution network asset operation efficiency and equipment attributes, load characteristics and the external environment of the economic society;
the power distribution network layered and partitioned power supply reliability evaluation module takes historical equipment fault trip-out data of an asset management system stored in the data storage module as support, comprehensively evaluates the relevance between the power supply reliability and a power distribution network grid structure, equipment ledger data, fault defect data and reliability indexes, adopts a gray relevance analysis method to perform relevance calculation on line historical fault trip-out data, the line grid structure and equipment operation life data, excavates leading factors influencing the operation reliability, corrects the fault rate of elements through the leading factors influencing the power distribution network reliability, automatically identifies the power distribution network grid topological structure based on a GIS geographic information system, calculates the reliability indexes of grid frames in different areas under the condition of not inputting data or inputting a small amount of parameters, and realizes the power supply reliability evaluation of the distribution network layered and partitioned areas;
the power distribution network running state evaluation module is used for constructing a power distribution network running state evaluation index system and comprehensively scoring the running condition of power distribution network equipment;
the power distribution network operation risk assessment and early warning module is used for assessing and early warning the operation risk of a power distribution area;
the power distribution network equipment asset allocation optimization module is used for researching the data requirements of lean management and production support technology of the power distribution network according to the lean management and the optimal allocation of the power distribution network, and improving the overall operation optimal allocation, reliability and economy of the power distribution network;
the power distribution network equipment operation economy analysis module is used for establishing a distribution network layered partition multi-dimensional reliability evaluation system according to political economy level indexes, power grid structure and equipment level indexes and operation and maintenance management level indexes of different regions; according to the result and the reliability target calculated by the layered partition reliability evaluation module, a differentiated reliability improvement strategy is provided, and applicability and economy analysis are performed; according to the marginal cost and marginal benefit theory based on power supply reliability and different power supply unit echelons, a reliability cost and reliability benefit calculation model is established, and the model achieves balance between power supply reliability and economic cost by maximizing the ratio of the reliability benefit to the total cost of the reliability transformation cost.
9. The big data architecture-based power distribution network multidimensional visualization platform according to claim 1, wherein: the power distribution network running state evaluation module is used for constructing a power distribution network running state evaluation index system and comprehensively scoring the running condition of power distribution network equipment; the method comprises the steps that the running state score of power distribution network equipment is used as a target layer, several key indexes of power distribution network running, namely load rate, voltage quality, running faults, three-phase imbalance and power supply reliability, are used as running state evaluation index system criterion layers, and line heavy overload proportion, distribution transformer heavy overload proportion, line fault rate and three-phase imbalance proportion indexes are used as index layers to form a power distribution network running state evaluation index system; and determining the weight of the operation state evaluation index by adopting an AHP analytic hierarchy process, and performing weighted comprehensive calculation to obtain an equipment state evaluation score.
10. The big data architecture-based power distribution network multidimensional visualization platform according to claim 8, wherein: the power distribution area operation risk assessment and early warning comprises the following steps:
(1) determining a risk evaluation index of a power distribution area;
(2) predicting the running state Yt + T of the single line/single distribution transformer at the time T + T by using a DBN model;
(3) calculating a power distribution area risk assessment index value according to the result predicted in the step (2);
(4) and (4) performing risk grade assessment and early warning measure formulation according to the power distribution area risk assessment index value obtained in the step (3).
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