CN111199289A - Line loss monitoring system based on big data - Google Patents
Line loss monitoring system based on big data Download PDFInfo
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- CN111199289A CN111199289A CN201811273319.6A CN201811273319A CN111199289A CN 111199289 A CN111199289 A CN 111199289A CN 201811273319 A CN201811273319 A CN 201811273319A CN 111199289 A CN111199289 A CN 111199289A
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Abstract
The invention provides a line loss detection system based on big data, which comprises a line loss operation information alarm platform and an EMS system, wherein the line loss operation information alarm platform comprises a core server and a database, and the core server calls information parameters from the database; the EMS system comprises a multi-node workstation, a front-end processor and a system server; the line loss operation information alarm platform calls various information parameters to an EMS system; and the multi-node workstation collects the operating parameters of the power grid of each node and transmits the operating parameters to the system server in real time. The invention reduces the response time of the abnormal processing of the power equipment, provides an accurate flow and method of line loss for operators on duty, collects various fault phenomena and corresponding processing methods, improves the fault processing level, shortens the fault processing time, avoids or reduces the occurrence of power grid accidents, and generates great economic benefit.
Description
Technical Field
The invention relates to the technical field of operation and maintenance management of power grid line loss, in particular to a line loss detection system based on big data.
Background
At present, a plurality of automatic intelligent monitoring and alarming systems are developed at home and abroad, and scholars and experts at home and abroad carry out deep research and preliminary practice around the intelligent alarming technology of the line loss of the power grid, so that remarkable results are obtained. From the prior research results, two aspects are mainly focused on: firstly, analyzing and processing alarm information of a line loss end by using an expert system, a genetic algorithm, a fuzzy set and other artificial intelligent analysis algorithms; and on the other hand, by combining the characteristics of the monitoring service, the alarm information is researched for hierarchical classification, reasoning analysis and comprehensive display. From the practical effect, the research results play an important role in improving the intelligent level of the alarm information processing of the automation system, but in the face of the massive alarm information generated by the existing increasingly huge power system, the alarm information is distributed in each independent system in the line loss center and lacks effective integration and classification, the alarm information of a plurality of systems needs to be monitored simultaneously in the line loss operation monitoring, the overall understanding of the power grid is not easily obtained from a large amount of data, and the business requirement of the integrated operation of the power grid is difficult to adapt.
The conventional power grid line loss process is characterized in that each node is abnormal and failed frequently, line loss personnel cannot find abnormal nodes in time, the response time of abnormal processing of power equipment is long, the fault processing level is low, the power consumption of users is influenced, the workload of power operation operators on duty is large, and the operation efficiency of the whole system equipment and the reliability of system operation are low.
Disclosure of Invention
The invention provides a line loss detection system based on big data, aiming at the technical problem of low line loss operation reliability of the traditional power grid.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a line loss detection system based on big data comprises a line loss operation information alarm platform and an EMS system, wherein the line loss operation information alarm platform comprises a core server and a database, and the core server calls information parameters from the database; the EMS system comprises a multi-node workstation, a front-end processor and a system server; the line loss operation information alarm platform calls various information parameters to an EMS system; and the multi-node workstation collects the operating parameters of the power grid of each node and transmits the operating parameters to the system server in real time.
Further, the power grid operation parameters comprise distribution transformer parameters, line reactive compensation equipment parameters, distribution transformer low-voltage side capacitance parameters, equipment fault parameters and fault type parameters; the line parameters comprise main grid line parameters and branch grid line parameters of the power grid.
Further, the core server comprises a database server and a core submodule.
Furthermore, the core server adopts load flow calculation, and the main network line parameter calculation of the power grid adopts a Newton-Raphson method and a P-Q decomposition method.
Further, the core sub-modules comprise a power grid modeling module, an interface module, a man-machine interaction module, a network topology module and a power system state estimation module.
Further, the power grid modeling module comprises an EMS model importing module, an electrical element drawing module and a wiring connection module, and is based on IEC61970 CIM modeling specifications.
Furthermore, the interface module comprises an embedded interface module and an external interface module; the embedded interface module comprises a model parameter interface which adopts the IEC 61970/61968 standard; the plug-in interface module comprises a model parameter interface, a graphic interface and a real-time data interface, wherein the model parameter interface supports a power grid model and parameters which are led into other systems in an XML file mode, the graphic interface supports a standard SVG graphic format, SVG standard graphics which are led out by other systems can be directly adopted, secondary maintenance graphics are not needed, the real-time data interface can adopt a TCP/IP communication or file exchange mode, the TCP/IP communication interface adopts a 104 protocol which meets the national power grid regulation, and E-format files are adopted for file exchange.
Further, the network topology module and the power system state estimation module simplify the electric line loss automatic system by the following steps: the first step is as follows: analyzing the transformer substation connection; the second step is that: analyzing the system network; the third step: and forming a node name.
Further, a line loss detection system based on big data specifically comprises the following working methods:
1) constructing a power grid model with EMS as a core;
2) collecting power stations, power plants, electric lines, equipment running states, electric switch states and distribution transformer voltage parameters of each node through each workstation and a front-end processor;
3) various parameters collected by the workstation and the front-end processor are led into the power grid model to achieve the effect of simulation;
4) parameters collected by each workstation and the front-end processor are transmitted to a system server, the system server transmits the parameters to a database, and a core server calls the parameters from the database in real time;
5) the core server comprehensively analyzes the power grid operation parameters and utilizes a load flow calculation method to perform inference analysis on the power grid operation state;
6) and line loss personnel observe the parameters of the power grid operation line, the power grid fault source and the fault processing scheme through the man-machine interaction system.
The invention has the beneficial effects that: the invention reduces the response time of the abnormal processing of the power equipment, provides a plan for the abnormal processing and the fault processing for operators on duty, collects various fault phenomena and corresponding processing methods, improves the fault processing level, shortens the fault processing time, avoids or reduces the occurrence of grid accidents, generates great economic benefit, lightens the workload of line loss personnel and improves the reliability of the operation of a grid line loss system.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a diagram of electrical components versus topology.
Detailed Description
The technical solutions in the embodiments of the present invention will be 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 obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1-2, a line loss detection system based on big data includes a line loss operation information alarm platform and an EMS system, where the line loss operation information alarm platform includes a core server and a database, the core server calls information parameters from the database, the core server includes a database service, a data exchange service and a core submodule, the core server adopts load flow calculation, and the core submodule includes a power grid modeling module, an interface module, a man-machine interaction module, a network topology module and a power system state estimation module; the EMS system comprises a multi-node workstation, a front-end processor and a system server; the line loss operation information alarm platform calls various information parameters to an EMS system; the multi-node workstation collects and transmits power grid operation parameters of each node to a system server in real time, wherein the power grid operation parameters comprise distribution transformer parameters, line reactive compensation equipment parameters, distribution transformer low-voltage side capacitance parameters, equipment fault parameters and fault type parameters; the line parameters comprise main grid line parameters and branch grid line parameters of the power grid; the line parameters comprise main network line parameters and branch line parameters, and the power grid main network line parameter calculation adopts a Newton-Raphson method and a P-Q decomposition method.
The power grid modeling module comprises an EMS model importing module, an electrical element drawing module and a wiring connection module, and is based on IEC61970 CIM modeling specifications; the IEC61970 CIM modeling comprises a CIM package, a core package and a domain package; the core package comprises a topology package, a wire package, a shutdown package, a protection package, a measurement package, a load model package and a power generation package.
The interface module comprises an embedded interface module and an external interface module; the embedded interface module comprises a model parameter interface which adopts the IEC 61970/61968 standard; the plug-in interface module comprises a model parameter interface, a graphic interface and a real-time data interface, wherein the model parameter interface supports a power grid model and parameters which are led into other systems in an XML file mode, the graphic interface supports a standard SVG graphic format, SVG standard graphics which are led out by other systems can be directly adopted, secondary maintenance graphics are not needed, the real-time data interface can adopt a TCP/IP communication or file exchange mode, the TCP/IP communication interface adopts a 104 protocol which meets the national power grid regulation, and E-format files are adopted for file exchange.
The steps of simplifying the electric line loss automatic system by the network topology module and the electric power system state estimation module are as follows:
step one, transformer substation wiring analysis: the task is to analyze how many nodes a bus section of a substation (power plant) is connected into by closed switches. In the step, according to a pre-stored switch (including disconnecting link and the like) information table and a switch switching table collected by an SCADA system, nodes on two sides of a closed switch are connected with each other according to the principle of the same name, and are connected into a node in a simplified mode. The result of the transformer substation wiring analysis is to simplify each transformer substation into a plurality of nodes;
secondly, analyzing the system network: the task is to analyze how many subsystems are formed by connecting branches of nodes of the whole system, wherein the branches comprise lines, transformers, reactances, capacitors and the like. In the step, according to a pre-stored branch information table and a branch switching table collected by an SCADA system, nodes at two sides of a branch are connected with each other according to the principle of the same name, and are connected into a subsystem in a simplified mode. The system network analysis result is to divide the nodes with electric connection into a subsystem. In the case of a system which is not disconnected, the whole network is a subsystem;
and thirdly, forming a node name: forming a unified node name according to the simplified nodes of the whole network counted in the first two steps, and using the unified node name as the basis of the structural parameters and the operation data of the power grid; the electrical part, the topological part and the mapping relation are as follows:
the state estimation realizes the functions of bad data initial detection, network topology analysis, observability analysis of a measuring system, bad data identification and the like of the operation data, the system combines the traditional standard residual error detection method and quantity measurement mutation detection method, uses the Minimum Information Loss (MIL) decision principle to identify the collected original data, deletes, supplements and corrects the bad data in the database, improves the precision, the integrity and the reliability of the real-time database, and meets the requirement of system calculation, namely, the unreasonable data is judged and corrected according to the continuity of the operation data of continuous sections, the current balance of nodes of the same section, the electric quantity balance of the same section and the consistency of the equipment telemetering data and the related switch state.
A line loss detection system based on big data comprises the following specific working methods:
1) constructing a power grid model with EMS as a core;
2) collecting power stations, power plants, electric lines, equipment running states, electric switch states and distribution transformer voltage parameters of each node through each workstation and a front-end processor;
3) various parameters collected by the workstation and the front-end processor are led into the power grid model to achieve the effect of simulation;
4) parameters collected by each workstation and the front-end processor are transmitted to a system server, the system server transmits the parameters to a database, and a core server calls the parameters from the database in real time;
5) the core server comprehensively analyzes the power grid operation parameters and utilizes a load flow calculation method to perform inference analysis on the power grid operation state;
6) and line loss personnel observe the parameters of the power grid operation line, the power grid fault source and the fault processing scheme through the man-machine interaction system.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. A line loss detection system based on big data is characterized by comprising a line loss operation information alarm platform and an EMS system, wherein the line loss operation information alarm platform comprises a core server and a database, and the core server calls information parameters from the database; the EMS system comprises a multi-node workstation, a front-end processor and a system server; the line loss operation information alarm platform calls various information parameters to an EMS system; the multi-node workstation collects the operation parameters of the power grid of each node and transmits the operation parameters to the system server in real time; the power grid operation parameters comprise distribution transformer parameters, line reactive compensation equipment parameters, distribution transformer low-voltage side capacitance parameters, equipment fault parameters and fault type parameters; the line parameters comprise main grid line parameters and branch grid line parameters of the power grid.
2. The big-data-based line loss detection system according to claim 1, wherein the core server comprises a database server and a core submodule; the core server adopts load flow calculation, and the main network line parameter calculation of the power grid adopts a Newton-Raphson method and a P-Q decomposition method.
3. The big-data-based line loss detection system according to claim 2, wherein the core sub-modules comprise a power grid modeling module, an interface module, a human-computer interaction module, a network topology module and a power system state estimation module.
4. The line loss detection system based on the big data as claimed in claim 3, wherein the power grid modeling module comprises an EMS model importing module, an electrical element drawing module and a wiring connection module, and is based on IEC61970 CIM modeling specification.
5. The big-data-based line loss detection system according to claim 4, wherein the interface module comprises an embedded interface module and a plug-in interface module; the embedded interface module comprises a model parameter interface which adopts the IEC 61970/61968 standard; the plug-in interface module comprises a model parameter interface, a graphic interface and a real-time data interface, wherein the model parameter interface supports a power grid model and parameters which are led into other systems in an XML file mode, the graphic interface supports a standard SVG graphic format, SVG standard graphics which are led out by other systems can be directly adopted, secondary maintenance graphics are not needed, the real-time data interface can adopt a TCP/IP communication or file exchange mode, the TCP/IP communication interface adopts a 104 protocol which meets the national power grid regulation, and E-format files are adopted for file exchange.
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| CN113655308A (en) * | 2021-07-30 | 2021-11-16 | 国网天津市电力公司 | Synchronous line loss monitoring and management system based on intelligent sensing |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113655308A (en) * | 2021-07-30 | 2021-11-16 | 国网天津市电力公司 | Synchronous line loss monitoring and management system based on intelligent sensing |
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Application publication date: 20200526 |