CN109980630B - Future state network topology model correction method for power generation plan optimization - Google Patents
Future state network topology model correction method for power generation plan optimization Download PDFInfo
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- CN109980630B CN109980630B CN201711463362.4A CN201711463362A CN109980630B CN 109980630 B CN109980630 B CN 109980630B CN 201711463362 A CN201711463362 A CN 201711463362A CN 109980630 B CN109980630 B CN 109980630B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to a future state network topology model correction method for power generation plan optimization, which comprises the following steps of firstly, analyzing a CIM model file; then, analyzing the real-time SCADA measurement file of the power grid; further, acquiring a switch on-off plan, and correcting the state of the switch knife switch in a future state; furthermore, processing the connection relation of the shutdown unit; finally, the future state topology model is corrected; according to the scheme, the topological connection relation is corrected according to the switching disconnecting link switching-on and switching-off plan of the future state, a network topological model of the future state is generated, and the accuracy of load flow calculation is improved.
Description
Technical Field
The invention relates to the technical field of power dispatching automation, in particular to a method for correcting bus load prediction data for power generation plan optimization.
Background
At present, a topology model of a power system network refers to the layout of power plants, substations, and switchyards in the power system network, and the connection mode of voltage power lines connecting the power plants, substations, and switchyards. The correct analysis of the power system network topology model is the basis for state estimation and load flow calculation. The real-time topology analysis is carried out by acquiring a real-time power grid model and measurement data, and then load flow calculation is carried out so as to facilitate the calculation of various advanced analysis applications. And the future state load flow of the power grid needs to be calculated in the optimization of the power generation plan so as to carry out safety check. The future state network topology is used for accurately calculating the power grid load flow in the power generation planning process. However, since only the real-time topology at the latest time can be acquired, it is necessary to perform correction when calculating a future-state network topology model.
Disclosure of Invention
The invention provides a method for correcting the bus load prediction data for optimizing the power generation plan, which aims to solve one or more of the defects.
In order to solve the technical problems, the invention adopts the technical scheme that:
a future state network topology model modification method for power generation plan optimization is characterized by comprising the following steps: the method comprises the following steps:
s1, analyzing a CIM model file;
s2, analyzing the real-time SCADA measurement file of the power grid;
s3, acquiring a switch on-off plan, and correcting the state of a future-state switch knife switch;
s4, processing the connection relation of the shutdown unit;
and S5, finishing the correction of the future state topology model based on the steps S1 to S4.
In the scheme, firstly, a CIM model file is analyzed; then, analyzing the real-time SCADA measurement file of the power grid; further, acquiring a switch on-off plan, and correcting the state of the switch knife switch in a future state; furthermore, processing the connection relation of the shutdown unit; finally, the future state topology model is corrected; according to the scheme, the topological connection relation is corrected according to the switching disconnecting link switching-on and switching-off plan of the future state, a network topological model of the future state is generated, and the accuracy of load flow calculation is improved.
Preferably, the step S1 specifically includes the following steps:
by analyzing the real-time CIM model file, an equipment list of the whole model, and the connection relation and the affiliated relation between the equipment can be obtained, wherein the whole equipment list comprises basic equipment of a power grid model consisting of a transformer, a winding, a bus, a switch, a disconnecting link, a line and the like, and the equipment is numbered according to the discovery sequence of the equipment.
Preferably, the step S2 is as follows:
the real-time SCADA measurement file is analyzed, the measurement data in the measurement file is associated with the corresponding equipment in the CIM model, the measurement data of the specific equipment can be obtained, and the state information of the switch and the disconnecting link is obtained through analysis of the measurement data.
Preferably, the step S3 specifically includes the following steps: by acquiring the switching and disconnecting link putting-in and putting-out plan in a future period of time, the state of the switching disconnecting link in a future designated period of time can be corrected.
Preferably, the step S4 is as follows:
1) According to the measurement data obtained from the measurement file, obtaining the output information of the unit, and judging the unit without the measurement data as a halt;
2) Traversing all the units, and if the units are in a shutdown state, finding out the node1 connected with the units;
3) Traversing all the switch switches, finding out a switch cb1 connected with the node1, and finding out another endpoint node2 of the cb 1;
4) Traversing all transformers, finding the transformer Trans connected with the node2, and finding the other end node3 of the Trans;
5) Traversing all the switch switches to find the switch cb2 connected with the node3 and find the other end node4 of the cb 2;
6) And traversing all the buses, and if the bus connected with the node4 can be found, closing all the switch disconnecting links cb1 and cb2 which are found before to form a path through which the unit can be connected to the network.
Preferably, step S5 is specifically as follows: and after the future state topology model is corrected, performing topology analysis by using the corrected topology model to generate topology nodes and topology islands in corresponding states.
Compared with the prior art, the invention has the beneficial effects that: in the scheme, firstly, a CIM model file is analyzed; then, analyzing the real-time SCADA measurement file of the power grid; further, acquiring a switch on-off plan, and correcting the state of the switch knife switch in a future state; furthermore, processing the connection relation of the shutdown unit; finally, the future state topology model is corrected; according to the scheme, the topological connection relation is corrected according to the switching disconnecting link switching-on and switching-off plan of the future state, a network topological model of the future state is generated, and the accuracy of load flow calculation is improved.
Drawings
FIG. 1 is a flow chart of a future state network topology model modification method for power generation plan optimization according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described in detail 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 embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
A future state network topology model modification method for power generation plan optimization is provided, and a flow diagram of the method is shown in FIG. 1: the method comprises the following steps:
s1, analyzing a CIM model file;
s2, analyzing the real-time SCADA measurement file of the power grid;
s3, acquiring a switch on-off plan, and correcting the state of a future-state switch knife switch;
s4, processing the connection relation of the shutdown unit;
and S5, finishing the correction of the future state topology model based on the steps S1 to S4.
In this embodiment, first, the CIM model file is parsed; then, analyzing the real-time SCADA measurement file of the power grid; further, acquiring a switch on-off plan, and correcting the state of the switch knife switch in a future state; furthermore, processing the connection relation of the shutdown unit; finally, the future state topology model is corrected; according to the scheme, the topological connection relation is corrected according to the switching disconnecting link switching-on and switching-off plan of the future state, a network topological model of the future state is generated, and the accuracy of load flow calculation is improved.
In this embodiment, step S1 is specifically as follows:
by analyzing the real-time CIM model file, an equipment list of the whole model, and the connection relation and the affiliated relation between the equipment and the equipment can be obtained, wherein the whole equipment list comprises basic equipment of a power grid model consisting of a transformer, a winding, a bus, a switch, a disconnecting link, a line and the like, and the equipment is numbered according to the discovery sequence of the equipment.
In this embodiment, step S2 is specifically as follows:
the real-time SCADA measurement file is analyzed, the measurement data in the measurement file is associated with the corresponding equipment in the CIM model, the measurement data of the specific equipment can be obtained, and the state information of the switch and the disconnecting link is obtained through analysis of the measurement data.
In this embodiment, step S3 is specifically as follows: the switch and disconnecting link switching-in and switching-out plan in a future period of time is obtained, so that the state of the switch and the disconnecting link in the future designated period of time can be corrected.
In this embodiment, step S4 is specifically as follows:
1) According to the measurement data obtained from the measurement file, obtaining the output information of the unit, and judging the unit without the measurement data as a halt;
2) Traversing all the units, and if the units are in a halt state, finding out the node1 connected with the units;
3) Traversing all the switch switches, finding out a switch cb1 connected with the node1, and finding out another end node2 of the cb 1;
4) Traversing all transformers, finding the transformer Trans connected with the node2, and finding the other end node3 of the Trans;
5) Traversing all the switch switches to find the switch cb2 connected with the node3 and find the other end node4 of the cb 2;
6) And traversing all the buses, and if the bus connected with the node4 can be found, closing all the switch disconnecting links cb1 and cb2 which are found before to form a path through which the unit can be connected to the network.
In this embodiment, step S5 is specifically as follows: and after the future state topology model is corrected, performing topology analysis by using the corrected topology model to generate topology nodes and topology islands in corresponding states.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (4)
1. A future state network topology model modification method for power generation plan optimization is characterized by comprising the following steps: the method comprises the following steps:
s1, analyzing a CIM model file;
s2, analyzing the power grid real-time SCADA measurement file, which specifically comprises the following steps:
the method comprises the steps of analyzing a real-time SCADA measurement file, associating measurement data in the measurement file with corresponding equipment in a CIM model, obtaining the measurement data of specific equipment, and analyzing the measurement data to obtain state information of a switch and a disconnecting link;
s3, acquiring a switch on-off plan, and correcting the state of a future-state switch knife switch;
s4, processing the connection relation of the shutdown unit; the method specifically comprises the following steps:
1) According to the measurement data obtained from the measurement file, obtaining the output information of the unit, and judging the unit without the measurement data as a halt;
2) Traversing all the units, and if the units are in a shutdown state, finding out the node1 connected with the units;
3) Traversing all the switch switches, finding out a switch cb1 connected with the node1, and finding out another endpoint node2 of the cb 1;
4) Traversing all transformers, finding a transformer Trans connected with the node2, and finding the other end node3 of the Trans;
5) Traversing all the switch switches to find the switch cb2 connected with the node3 and find the other end node4 of the cb 2;
6) Traversing all buses, and if the bus connected with the node4 can be found, closing all the switch disconnecting links cb1 and cb2 which are found before to form a path through which the unit can surf the internet;
and S5, finishing the correction of the future state topology model based on the steps S1 to S4.
2. The method for modifying the topology model of the future state network for power generation plan optimization according to claim 1, wherein: the step S1 is specifically as follows:
by analyzing the real-time CIM model file, an equipment list of the whole model, and the connection relation and the affiliated relation between the equipment can be obtained, wherein the whole equipment list comprises a transformer, a winding, a bus, a switch, a disconnecting link and a line, and the equipment is numbered according to the discovery sequence of the equipment.
3. The method for modifying a future state network topology model for power generation plan optimization according to claim 1, wherein: the step S3 is specifically as follows: the switch and disconnecting link switching-in and switching-out plan in a future period of time is obtained, so that the state of the switch and the disconnecting link in the future designated period of time can be corrected.
4. The method for modifying a future state network topology model for power generation plan optimization according to claim 1, wherein: the step S5 is specifically as follows: and after the future state topology model is corrected, performing topology analysis by using the corrected topology model to generate topology nodes and topology islands in corresponding states.
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| CN104218572A (en) * | 2014-08-29 | 2014-12-17 | 国网安徽省电力公司 | Fuzzy inference based topological real-time specification and correction method for CIM (common information model) |
| CN104462473A (en) * | 2014-12-19 | 2015-03-25 | 国家电网公司 | Method for automatically generating CIM-G-format plant-station internal wiring diagram based on CIM-E power grid model |
| WO2015143846A1 (en) * | 2014-03-25 | 2015-10-01 | 国家电网公司 | Online real-time loop closing method based on integration of main network and distribution network |
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| WO2015143846A1 (en) * | 2014-03-25 | 2015-10-01 | 国家电网公司 | Online real-time loop closing method based on integration of main network and distribution network |
| CN104218572A (en) * | 2014-08-29 | 2014-12-17 | 国网安徽省电力公司 | Fuzzy inference based topological real-time specification and correction method for CIM (common information model) |
| CN104462473A (en) * | 2014-12-19 | 2015-03-25 | 国家电网公司 | Method for automatically generating CIM-G-format plant-station internal wiring diagram based on CIM-E power grid model |
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