CN112749489B - Power grid model generation method based on splicing technology - Google Patents

Power grid model generation method based on splicing technology Download PDF

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CN112749489B
CN112749489B CN202011624709.0A CN202011624709A CN112749489B CN 112749489 B CN112749489 B CN 112749489B CN 202011624709 A CN202011624709 A CN 202011624709A CN 112749489 B CN112749489 B CN 112749489B
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provincial
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splicing
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CN112749489A (en
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王亚军
孙广辉
曹树江
习新魁
杨立波
马斌
杜振涛
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Beijing King Star Hi Tech System Control Co Ltd
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State Grid Hebei Electric Power Co Ltd
Beijing King Star Hi Tech System Control Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/04Power grid distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract

The invention relates to a power grid model generation method based on a splicing technology, which comprises the following steps of S1, reading an outer net model of a national tone center QS file through provincial tone full model network analysis application; s2, reading the provincial power grid model through provincial dispatching full model network analysis application; s3, splicing the power grid models of the step S1 and the step S2; s4, performing state estimation calculation on the spliced power grid model; and S5, after the calculation is finished, the current result is stored as a historical section. The method ensures that the power grid model generated after splicing is more accurate and complete in structure, improves the accuracy of application calculation results such as static safety analysis and dispatcher load flow, and ensures the safe and stable operation of the power grid.

Description

Power grid model generation method based on splicing technology
Technical Field
The invention belongs to the technical field of power system automation, and particularly relates to a power grid model generation method based on a splicing technology.
Background
With the rapid formation of the large extra-high voltage alternating current/direct current hybrid power grid and the increasingly strict requirements of modern production on the quality of electric energy, the operation and control of a power system become more and more complex. The network analysis application of the intelligent power grid dispatching control system comprises the functions of state estimation, static safety analysis, dispatcher load flow, short-circuit current calculation, sensitivity analysis and the like, and the accuracy of the calculation result directly influences the power grid operation control level.
At present, the national power grid takes an extra-high voltage power grid as a main grid frame, all regional power grids are closely interconnected, each provincial power grid model only comprises the provincial direct-dispatching station model, and the accuracy of a calculation result is influenced definitely under the condition that an adjacent provincial power grid model is lacked.
The accurate and complete power grid model is provided for ensuring the accuracy of the calculation result of each functional module in network analysis application and improving the ability of a regulator for driving a large power grid.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a power grid model generation method based on a splicing technology, so that the structure of a power grid model generated after splicing is more accurate and complete, the accuracy of application calculation results such as static safety analysis and dispatcher load flow is improved, and the safe and stable operation of a power grid is ensured.
In order to achieve the purpose, the technical scheme of the invention comprises the following steps: which comprises the following steps of,
s1, reading an outer network model of a QS file of the national dispatching center through provincial dispatching full model network analysis application;
s2, reading the provincial power grid model through provincial dispatching full model network analysis application;
s3, splicing the power grid models of the step S1 and the step S2;
s4, performing state estimation calculation on the spliced power grid model;
and S5, after the calculation is finished, the current result is stored as a historical section.
Further, in step S1, the provincial dispatching full model network analysis application acquires an extranet model of QS files of national dispatching centers through sftp service.
Further, in step S1, the QS file is a state estimation result file, which is updated every 5 minutes, and includes full grid models and data of north, center, and east of china.
Further, in step S1, the QS file is a state estimation calculation result file generated after the state estimation calculation is performed by the national dispatching network analysis, and the QS file may provide a ground state trend for the static security analysis or the dispatcher trend.
Further, in step S2, the reading process is: and the provincial dispatching full model network analysis application reads the information of the plant station equipment of 220kV or above of the D5000 platform real-time base to load the provincial power grid model.
Further, in step S2, the plant model information of 220kV and above of the D5000 platform real-time library read by the provincial dispatching full model network analysis application includes voltage class, main transformer information, unit information, line information, bus information, load information, capacitive reactance device information, switch information, and disconnecting link information.
Further, in step S3, the power grid models in step S1 and step S2 are spliced through provincial tuning full model network analysis application, and the external grid models are spliced through provincial power grid models of 500kV and 1000kV station boundary lines during splicing.
Further, in step S3, adding a calculation model to the 500kV and 1000kV plant stations tightly connected to the provincial power grid through the external network connecting line pair, and increasing the scale of the external network plant station model to perform adaptive adjustment according to the tightness of the power grid topology.
Further, in step S4, the provincial dispatching full model network analysis application reads the intra-provincial and extra-provincial plant station measurement data for mapping, performs state estimation calculation on the spliced power grid model, and if the state estimation is converged, the full model is available.
Further, in step S4, the state estimation is calculated as mapping of measurement data of the full grid model, where the measurement data includes measurement information and state quantity information, the measurement information includes voltage, current, active and reactive information of the plant, and the state quantity information includes information of switches and switches.
Further, in step S5, the provincial dispatching full model network analysis application mirrors the full model from the RealTimeModel real-time library to the RealTime real-time library, performs state estimation cycle calculation on the spliced power grid model, and stores the current result as a historical section after the calculation is completed.
The invention has the following positive effects:
1) by splicing the external network models, the power grid structure is more complete, and the accuracy of load flow calculation is improved;
2) real-time data connection is more comprehensive and smooth, controllable errors are reduced, and the fault tolerance rate is improved;
3) a trans-provincial power grid model is added to provide a basis for a regulator to analyze the boundary trend;
4) the models are spliced automatically, and the system maintenance workload is reduced.
According to the method, through a CIM/E standard interface, an sftp service is adopted to obtain QS files of the national tone center, and measured data are read to map a national tone partial model. And reading a power-saving network model part of SCADA application real-time acquisition measurement mapping based on a D5000 platform real-time library interface, calculating whether a state estimation detection model is available or not, and finishing state estimation calculation. And checking whether the convergence is caused by checking the qualified rate, stopping if the result diverges, and importing the real-time library if the result converges. By splicing the external network model, the state estimation qualification rate can be remarkably improved, more accurate models and data are provided for static safety analysis, dispatcher load flow, short-circuit current calculation and sensitivity analysis in network analysis of the intelligent power grid dispatching control system, the accuracy of calculation results is guaranteed, the ability of regulating and controlling personnel for handling large power grids is improved, and the safety of the power grids is guaranteed.
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FIG. 1 is a schematic flow diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses. 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 application.
The invention provides a power grid model generation method based on a splicing technology, which comprises the following steps,
s1, reading an outer net model of a QS file in a national center through provincial dispatching full model network analysis application;
s2, reading the provincial power grid model through provincial dispatching full model network analysis application;
s3, splicing the power grid models of the step S1 and the step S2;
s4, performing state estimation calculation on the spliced power grid model;
and S5, after the calculation is finished, the current result is stored as a historical section.
The respective steps are further explained.
And S1, reading the extranet model of the QS file in the national center through provincial style full model network analysis application.
The national dispatching center, namely the national power dispatching control center, is also called national dispatching for short.
In step S1, the provincial dispatching full model network analysis application refers to a network analysis application with a function of splicing provincial and provincial power grid models.
In step S1, the provincial style full model network analysis application acquires an extranet model of a national style center QS file through sftp service.
In step S1, the QS file is a state estimation result file, which is updated every 5 minutes, and includes full grid models and data of north China, and east China.
In step S1, the QS file is a state estimation calculation result file generated after state estimation calculation is performed by national network analysis, and the QS file may provide a ground state power flow for static security analysis or dispatcher power flow.
According to the power grid model parameters, the connection relation and a group of redundant telemetering measurement values and remote signaling breaker states, the state estimation method solves the state quantity describing the steady-state operation condition of the power grid, namely the estimated values of the bus voltage amplitude and the phase angle, solves the measured estimated values, detects and identifies bad data in measurement, and provides a set of complete and accurate power grid real-time operation mode data for other application functions.
The provincial dispatching full model network analysis application acquires a latest QS model and a latest data file of a national dispatching center from a D5000 gateway machine through sftp service, and the power grid topology model import of the provincial dispatching external network is realized according to a CIM/E standard format. The QS file is a state estimation result file, updated every 5 minutes. After the QS file at the current moment is obtained by the network analysis application, models of 500kV and 1000kV substations adjacent to the provincial power grid are read for loading.
The QS file acquired by the full model network analysis application is a state estimation calculation result file generated after state estimation calculation is carried out by the state-adjusted network analysis, comprises plant station model information and measurement information of 220kV and above of power grids in North China, east China and China, and can provide a ground state power flow file for applications such as static security analysis and dispatcher power flow. The provincial dispatching models only model the province 220kV and the upper station and collect relevant measurement information, so the provincial dispatching models only contain the power grid models of the province 220kV and above, but do not contain the power grid model information of the province 500kV and above adjacent to the power-saving grid, and therefore the external grid models need to be spliced for improving the state estimation qualification rate, the static safety analysis and the accuracy of dispatcher load flow calculation results.
And S2, reading the provincial power grid model through provincial dispatching full model network analysis application.
In step S2, the reading process is: and the provincial dispatching full model network analysis application reads the plant station equipment information of 220kV and above of the D5000 platform real-time base to load the power grid model in the province.
In step S2, the plant model information of 220kV and above of the D5000 platform real-time library read by provincial dispatching full model network analysis application includes voltage class, main transformer information, unit information, line information, bus information, load information, capacitive reactance device information, switch information, and disconnecting link information.
And the provincial dispatching full model network analysis application reads the plant station equipment information of 220kV and above of the D5000 platform real-time base to load the power grid model in the provincial. And for the intra-provincial model, reading intra-provincial power grid model data in the D5000 through a D5000 platform real-time library interface, and importing the intra-provincial power grid model data into an intranet topology model.
The plant model information of 220kV and above of a D5000 platform real-time base read by full model network analysis application comprises voltage grade, main transformer information, unit information, line information, bus information, load information, capacitive reactance information, switch information and disconnecting link information.
And S3, splicing the power grid models of the step S1 and the step S2.
In step S3, the power grid models in step S1 and step S2 are spliced through provincial dispatching full model network analysis application, and during splicing, the outer network models are spliced through provincial power grid models of 500kV and 1000kV station boundary lines.
In step S3, adding a calculation model to 500kV and 1000kV stations which are closely connected with the provincial power grid through the outer network connecting lines in a splicing manner, and increasing the scale of the outer network station model to perform adaptive adjustment according to the closeness degree of the power grid topology.
The purpose of step S2 is to obtain an intra-province grid model, the purpose of step S1 is to obtain a grid model of a province adjacent to the province of step S2, and the province in the step S1 extranet model is an extraprovince relative to the province of step S2.
In step S3, close association refers to the step S1 out-of-date of step S2, where close association defines "adjacent".
By splicing the province and the adjacent provinces and splicing the outer net model, the state estimation qualification rate can be remarkably improved.
Specifically, the scale of the external network station model is increased, and the external network station model can be properly adjusted according to the compactness of the power grid topology.
And S4, performing state estimation calculation on the spliced power grid model.
In step S4, the provincial dispatching full model network analysis application reads the intra-provincial and extra-provincial plant station measurement data for mapping, performs state estimation calculation on the spliced power grid model, and if the state estimation is convergent, the full model is available.
In step S4, the state estimation calculation is a mapping of measurement data of the full grid model, where the measurement data includes measurement information and state quantity information, the measurement information includes voltage, current, active and reactive information of the plant, and the state quantity information includes information of a switch and a disconnecting link.
And S5, after the calculation is finished, the current result is stored as a historical section.
In step S5, the provincial dispatching full model network analysis application mirrors the full model from the RealTimeModel real-time library to the RealTime real-time library, performs state estimation cycle calculation on the spliced power grid model, and saves the current result as a historical section after the calculation is completed.
If the full model based state estimation computation results diverge, the state estimation computation stops in this cycle.
Taking the north-Henan power grid as an example, the overall process is that the Hebei province tuning full model network analysis application acquires a latest QS model and a data file of a national tune center from a D5000 network tuning machine through sftp service, and reads plant station equipment information of 220kV and above a D5000 platform real-time base to load the power grid model in provinces. The provincial dispatching full model network analysis application respectively carries out splicing on the provincial and extraprovincial power grid models, reads the provincial and extraprovincial plant station measurement data for mapping, carries out state estimation calculation on the spliced power grid models, and stores the current result as a historical section after calculation is completed. The outer network is divided by inter-provincial connecting lines, and 500kV and 1000kV station power grid models of a Jingjin Tang power grid, a Shanxi power grid, a Shandong power grid and an inner Mongolia power grid are mainly spliced.
The QS file related device attribute description is shown in table 1:
TABLE 1 QS File device Attribute description
Figure BDA0002872911000000061
Figure BDA0002872911000000071
Figure BDA0002872911000000081
Figure BDA0002872911000000091
Figure BDA0002872911000000101
Figure BDA0002872911000000111
After the state estimation calculation is completed, the dispatcher can perform calculations such as dispatcher load flow, static security analysis, short-circuit current, sensitivity analysis and the like.
The dispatcher power flow is based on real-time network state analysis, the operation mode is adjusted according to a known bus model and the injection power of each bus or a prediction or historical data source, and the unique solution of the voltage and the phase angle of each bus is calculated by applying power flow calculation methods such as a full Newton-Raphson method, a decoupling method, a p-q rapid decomposition method and the like.
The static safety time sharing is to carry out rapid fault scanning according to power grid model parameters and power grid operation mode data, determine harmful fault subsets, further study potential harmful faults found in the scanning stage, calculate all bus voltage amplitude values and angles, branch active and reactive power and unit active and reactive power by using alternating current power flow, determine all out-of-limit elements and out-of-limit degrees under various faults and cause all faults of one type of element out-of-limit.
The short-circuit current is a current different from a normal operation value generated in an electric circuit at an electric element due to a short circuit.
The sensitivity analysis is in the form of a first partial derivative matrix, and describes the degree of mutual influence among various types of power flow forming the power system, such as bus injection power, branch power and bus voltage. The common factors include the sensitivity of line power flow to the active power of the unit, the sensitivity of bus voltage to the reactive power of the unit and the sensitivity of the bus voltage to the tap of the transformer.
According to the invention, by integrating the provincial power grid model and the extraprovincial power grid model, the integrity of the model can be obviously improved, so that the state estimation qualification rate is improved, the accuracy of the application calculation results of static safety analysis, dispatcher tidal current, short-circuit current, sensitivity analysis and the like is improved, the capability of a regulator for driving a large power grid is further improved, and the safe and stable operation of the power grid is ensured.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (9)

1. A power grid model generation method based on a splicing technology is characterized by comprising the following steps: which comprises the following steps of,
s1, reading an outer network model of a QS file of the national dispatching center through provincial dispatching full model network analysis application;
s2, reading the provincial power grid model through provincial dispatching full model network analysis application;
s3, splicing the power grid models of the step S1 and the step S2;
s4, performing state estimation calculation on the spliced power grid model;
s5, after the calculation is finished, the current result is saved as a historical section;
in step S3, adding a calculation model to 500kV and 1000kV stations which are closely connected with the provincial power grid through the outer network connecting lines in a splicing manner, and increasing the scale of the outer network station model to perform adaptive adjustment according to the closeness degree of the power grid topology.
2. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S1, the provincial dispatching full model network analysis application acquires an extranet model of QS files of a national dispatching center through sftp service;
in step S1, the QS file is a state estimation result file, which is updated every 5 minutes, and includes full grid models and data of north, china, and east.
3. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S1, the QS file is a state estimation calculation result file generated after state estimation calculation is performed by national network analysis, and the QS file may provide a ground state power flow for static security analysis or dispatcher power flow.
4. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S2, the reading process is: and the provincial dispatching full model network analysis application reads the plant station equipment information of 220kV and above of the D5000 platform real-time base to load the power grid model in the province.
5. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S2, the plant model information of 220kV and above of the D5000 platform real-time library read by provincial dispatching full model network analysis application includes voltage class, main transformer information, unit information, line information, bus information, load information, capacitive reactance device information, switch information, and disconnecting link information.
6. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S3, the power grid models in step S1 and step S2 are spliced through provincial dispatching full model network analysis application, and during splicing, the outer network models are spliced through provincial power grid models of 500kV and 1000kV station boundary lines.
7. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S4, the provincial dispatching full model network analysis application reads the intra-provincial and extra-provincial plant station measurement data for mapping, performs state estimation calculation on the spliced power grid model, and if the state estimation is convergent, the full model is available.
8. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S4, the state estimation calculation is a mapping of measurement data of the full grid model, where the measurement data includes measurement information and state quantity information, the measurement information includes voltage, current, active and reactive information of the plant, and the state quantity information includes information of a switch and a disconnecting link.
9. The power grid model generation method based on the splicing technology as claimed in claim 1, wherein:
in step S5, the provincial dispatching full model network analysis application mirrors the full model from the RealTimeModel real-time library to the RealTime real-time library, performs state estimation cycle calculation on the spliced power grid model, and saves the current result as a historical section after the calculation is completed.
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