CN114092280B - Power grid offline simulation data fusion splicing method - Google Patents
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Abstract
The invention provides a power grid offline simulation data fusion splicing method, which comprises the following steps: acquiring offline simulation data, reading each level of scheduling data file, analyzing a VERSION field of the Info worksheet, and screening worksheets with the same VERSION field; determining a splicing sequence, extracting the same bus data in each level of scheduling data, taking the bus data as a boundary bus, taking the boundary bus as a tie line of adjacent offline simulation data, and determining the scheduling grade to which the tie line belongs. Calculating the data deviation of the position of the connecting line; and judging whether the data deviation accords with a deviation range given by a user, closing or adjusting the data, and completing fusion and splicing of the offline simulation data. The simulation data of provincial and local regulation of the full voltage level is automatically fused and spliced, the fusion and splicing efficiency is improved, the influence of the increase of the permeability of the new energy power supply on the stability of the power grid can be effectively analyzed and evaluated, key constraint links are identified, data diagnosis is carried out, guidance is provided for the access of the new energy, and the stability of the power grid is enhanced.
Description
Technical Field
The invention relates to the technical field of offline simulation of power systems, in particular to a power grid offline simulation data fusion splicing method.
Background
Along with the construction and development of novel power systems in China, more and more new energy sources such as wind power, photovoltaic and the like are put into operation in China, and the new energy sources such as wind power, photovoltaic and the like have obvious differences from the traditional synchronous generator in the aspects of power generation principle, disturbed response, control performance and the like. Therefore, developing the professional analysis of the power grid simulation to evaluate the influence of the increase of the permeability of the new energy power supply on the stability of the power grid, and identifying key constraint links is an indispensable research in the future. At present, the offline simulation data of the power grid checking calculation performed by each grid province company only comprises a grid frame with the voltage level of 220kV or more, the offline simulation data of the power grid checking calculation performed by the ground adjustment company only comprises a grid frame with the voltage level of 110kV or less, and the grid-connected voltage level of wind power and photovoltaic new energy sources is mostly 10kV-110kV, so that the research of the simulation data fusion splicing method of the power grid checking calculation performed by the province and the ground adjustment is necessary. At present, manual splicing and subsequent processing of multiple links are needed for provincially adjusting simulation data fusion through analysis software such as PSASP (power system analysis system) and BPA (power system analysis system) used for power grid verification, and the problems of time consumption, easiness in error, non-convergence of tide, abnormal voltage and the like exist in splicing.
Disclosure of Invention
The invention aims to at least solve the technical problems of manual operation, low efficiency, easy error, unconverged trend and abnormal voltage of the offline simulation data splicing in the prior art.
Therefore, the invention provides a power grid offline simulation data fusion splicing method.
The invention provides a power grid offline simulation data fusion splicing method, which comprises the following steps:
s1, acquiring offline simulation data, reading scheduling data files of all levels, analyzing VERSION fields of Info worksheets, and screening worksheets with the same VERSION fields;
s2, determining a splicing sequence, extracting the same item of bus data in each level of scheduling data, taking the same item of bus data as a boundary bus, taking the boundary bus as a tie line of adjacent offline simulation data, and determining the scheduling grade to which the tie line belongs.
S3, calculating data deviation of the positions of the connecting lines;
s4, judging whether the data deviation in S2 accords with a deviation range given by a user, closing or adjusting the data, and fusing and splicing the offline simulation data of the main network and the sub-network.
According to the technical scheme, the power grid offline simulation data fusion splicing method can also have the following additional technical characteristics:
further, the Info worksheet comprises a busbar meter, an alternating current line meter, a parallel capacitance reactor meter, a two-winding transformer meter, a three-winding transformer meter, a generator meter and a load meter.
Further, the data splicing sequence in S2 is: the provincial tone data is before and the ground tone data is after.
Further, the boundary bus determining method in S2 is as follows:
s21, analyzing bus_Name and base_kV fields of a Bus table in each level of scheduling data;
s22, extracting Bus bars with the same bus_Name field in different modulation data Bus tables as boundary Bus bars;
and S23, the voltage class of the boundary bus is the same as that of the bus in the base_kV field data in the original table.
Further, when the tie line is at the 220kV side of the transformer, comparing whether the reactance x and the resistance r parameters of the transformer connected with the tie line are consistent, the comparison method is as follows:
A G ＝(S i -D i )/D i (1)；
wherein A is G For tie line data deviation, S i To save parameters on each side of the transformer connected to the tie line in the data, (i=x, r.,) D i To ground adjust parameters on each side of the transformer in the data.
Further, when A G And when the deviation does not meet the requirement, closing a corresponding transformer high-voltage side switch in the local dispatching data, adding short connecting wires of medium-voltage side 110kV buses of the two transformers, and pushing deviation results and change information to the user.
Further, when the tie line is at 110kV side of the transformer, the area power difference is calculated, and the calculation method is as follows:
ΔP＝Ps-(ΣPdi-ΣPgi) (2)；
wherein Ps is an equivalent load value of a corresponding node in the provincial dispatching data, Σpdi is a sum of load values of all effective branches of the sub-network in the local dispatching data, Σpgi is a sum of generator values of all effective branches of the sub-network in the local dispatching data.
Further, when the regional power difference value is within a difference value range given by a user, closing the corresponding equivalent load in the provincial dispatching data; when the regional power difference value is out of the difference value range given by a user, changing an equivalent load value Ps corresponding to the transformer 110kV side in the provincial dispatching data to meet the deviation.
Further, the deviation range can be adjusted according to the needs of the user, the data deviation judgment is carried out again after the modification is completed, the data closing or adjustment is carried out according to the judgment result, and the data fusion splicing result is output.
Further, the method further comprises the step of processing the generator table, analyzing a TYPE TYPE field of the generator table in the scheduling data, and closing all balance machine nodes of the sub-network in the scheduling data when TYPE is 0.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows: the method for fusing and splicing the offline simulation data of the power grid is provided, automatic fusion and splicing of the simulation data of provincial and local regulation of full voltage level are realized, fusion and splicing efficiency is improved, the problems of easiness in error, non-convergence of tide and voltage abnormality in the existing splicing technology are solved, the fusion and splicing result is accurate, the data is complete, the influence of the increase of the permeability of a new energy power supply on the stability of the power grid can be effectively analyzed and evaluated, key constraint links are identified, data diagnosis is carried out, guidance is provided for the access of the new energy, and therefore the stability and the power supply reliability of the power grid are enhanced.
Meanwhile, the accuracy of the data can be checked through manual secondary verification, the deviation range parameters can be adjusted at any time, different values can be drawn up according to the needs, and the result accuracy is further improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
fig. 1 is a flowchart of a method for fusing and splicing offline simulation data of a power grid according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
The following describes a power grid offline simulation data fusion splicing method according to some embodiments of the present invention with reference to fig. 1.
Some embodiments of the present application provide a method for fusing and splicing offline simulation data of a power grid.
As shown in fig. 1, a first embodiment of the present invention provides a method for fusing and splicing offline simulation data of a power grid, which includes the following steps:
s1, acquiring offline simulation data, reading scheduling data files of all levels, analyzing VERSION fields of Info worksheets, and screening worksheets with the same VERSION fields;
the Info worksheet comprises a busbar meter, an alternating current line meter, a parallel capacitance reactor meter, a two-winding transformer meter, a three-winding transformer meter, a generator meter, a load meter and the like.
S2, determining a splicing sequence, extracting the same item of bus data in each level of scheduling data, taking the same item of bus data as a boundary bus, taking the boundary bus as a tie line of adjacent offline simulation data, and determining the scheduling grade to which the tie line belongs.
When the scheduling levels are different, the upper scheduling level is front, the lower scheduling level is back, and when the scheduling levels are the same, the present level is front, and the rest scheduling data is back. In this embodiment, overlapping is performed according to the principle that the provincial dispatching data is before and the local dispatching data is after, each stage of dispatching is performed according to the unified dispatching and hierarchical management principle, the provincial dispatching line simulation data comprises a net rack with a voltage level of 220kV and above, the local dispatching line simulation data comprises a net rack with a voltage level of 110kV and below, and it is noted that the provincial dispatching line simulation data and the local dispatching line simulation data are overlapped at the boundary, and the boundary and attribution of the boundary need to be defined.
The boundary bus determination method comprises the following steps:
s21, analyzing bus_Name and base_kV fields of a Bus table in each level of scheduling data;
s22, extracting Bus bars with the same bus_Name field in different modulation data Bus tables as boundary Bus bars;
and S23, the voltage class of the boundary bus is the same as that of the bus in the base_kV field data in the original table.
The judging method of the dispatching level of the connecting line comprises the following steps:
if the number of the boundary buses is greater than 0 and the voltage levels are 220kV, the connecting lines are arranged on the 220kV side;
if the number of the boundary buses is greater than 0 and the voltage levels are 110kV, the connecting lines are arranged on the 110kV side;
if the number of the boundary buses is larger than 0 and the voltage class contains 110kV and 220kV, the connecting lines are simultaneously arranged on the 220kV side and the 110kV side.
S3, before data table fusion, calculating data deviation of the positions of the connecting lines;
when the connecting line is at the 220kV side of the transformer, comparing whether the parameters of the reactance x and the resistance r of each side of the transformer connected with the connecting line are consistent, wherein the comparison method is as follows:
A G ＝(S i -D i )/D i (1)；
wherein A is G For tie line data deviation, S i To save parameters on each side of the transformer connected to the tie line in the data, (i=x, r.,) D i To ground adjust parameters on each side of the transformer in the data.
When the tie line is at 110kV side of the transformer, the regional power difference is calculated by the following method:
ΔP＝Ps-(ΣPdi-ΣPgi) (2)；
wherein Ps is an equivalent load value of a corresponding node in the provincial dispatching data, Σpdi is a sum of load values of all effective branches of the sub-network in the local dispatching data, Σpgi is a sum of generator values of all effective branches of the sub-network in the local dispatching data.
The deviation range can be adjusted according to the needs of the user, the data deviation judgment is carried out again after the modification is completed, the data is closed or adjusted according to the judgment result, and the data fusion splicing result is output.
S4, judging whether the data deviation in S2 accords with a deviation range given by a user, closing or adjusting the data, and fusing and splicing the offline simulation data of the main network and the sub-network.
When A is G Closing corresponding transformer data in the provincial dispatching data when the deviation range given by the user is within; when the deviation does not meet the requirement, the corresponding transformer high-voltage side switch in the ground adjustment data is closed, meanwhile, the short connecting wires of the medium-voltage side 110kV buses of the two transformers are added, and the deviation result and the change information are pushed to a user.
When the regional power difference delta P is within a difference range given by a user, closing the corresponding equivalent load in the provincial dispatching data; when the regional power difference value is out of the difference value range given by a user, changing an equivalent load value Ps corresponding to the transformer 110kV side in the provincial dispatching data to meet the deviation.
And the method also comprises the steps of processing the generator table, analyzing a TYPE TYPE field of the generator table in the dispatching data, and closing all balance machine nodes of the sub-network in the dispatching data when TYPE is 0. When TYPE is 0, the data is indicated as a subnet balancing machine, after the provincial ground adjustment data splicing is carried out, a power supply of the subnet is supplied by a main network, a virtual subnet balancing machine is not needed any more, all balancing machine nodes of the ground adjustment data file subnet are closed, and incorrect power flow results caused by a plurality of balancing machines of the whole network during power flow calculation are avoided.
The main network is provincial tone data, the sub-network is ground tone data, the offline simulation data of the main network and the sub-network after data processing are fused and overlapped to generate a complete network frame containing all data of a network frame with a voltage level of 220kV or above and a network frame with a voltage level of 110kV or below, so that the influence of the increase of the permeability of a new energy power supply on the stability of the power grid is evaluated according to the network frame, the power flow distribution of each link on the network frame is analyzed, and key constraint links are distinguished.
In the description of the present specification, the terms "one embodiment," "some embodiments," "particular embodiments," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. The power grid offline simulation data fusion splicing method is characterized by comprising the following steps of:
s1, acquiring offline simulation data, reading scheduling data files of all levels, analyzing VERSION fields of Info worksheets, and screening worksheets with the same VERSION fields;
s2, determining a splicing sequence, extracting the same busbar data in each level of scheduling data, taking the same busbar data as a boundary busbar, taking the boundary busbar as a tie line of adjacent offline simulation data, and determining the scheduling grade to which the tie line belongs; the data splicing sequence is as follows: the provincial tone data is before and the ground tone data is after; the method for determining the boundary bus comprises the following steps:
s21, analyzing bus_Name and base_kV fields of a Bus table in each level of scheduling data;
s22, extracting Bus bars with the same bus_Name field in different modulation data Bus tables as boundary Bus bars;
s23, the voltage class of the boundary bus is the same as the base_kV field data of the bus in the original table;
s3, calculating data deviation of the positions of the connecting lines;
s4, judging whether the data deviation in S2 accords with a deviation range given by a user, closing or adjusting the data, and fusing and splicing the offline simulation data of the main network and the sub-network;
when the connecting line is at the 220kV side of the transformer, comparing whether the parameters of the reactance x and the resistance r of each side of the transformer connected with the connecting line are consistent, wherein the comparison method is as follows:
A G ＝(S i -D i )/D i (1)；
wherein A is G For tie line data deviation, S i For each side parameter of transformer connected with tie line in provincial data, i=x, r, D i Parameters of each side of the transformer in the ground adjustment data;
when A is G Closing corresponding transformer data in the provincial dispatching data when the deviation is within a deviation range given by a user, closing corresponding transformer high-voltage side switches in the provincial dispatching data when the deviation does not meet the requirement, simultaneously adding short connecting wires of medium-voltage side 110kV buses of two transformers, and pushing deviation results and change information to the user;
when the tie line is at 110kV side of the transformer, the regional power difference is calculated by the following method:
ΔP＝Ps-(ΣPdi-ΣPgi) (2)；
wherein Ps is an equivalent load value of a corresponding node in the provincial dispatching data, Σpdi is a sum of load values of all effective branches of the sub-network in the local dispatching data, Σpgi is a sum of generator values of all effective branches of the sub-network in the local dispatching data;
the deviation range can be adjusted according to the needs of the user, the data deviation judgment is carried out again after the modification is completed, the data closing or adjustment is carried out according to the judgment result, and the data fusion splicing result is output;
and the method also comprises the steps of processing the generator table, analyzing a TYPE TYPE field of the generator table in the dispatching data, and closing all balance machine nodes of the sub-network in the dispatching data when TYPE is 0.
2. The power grid offline simulation data fusion splicing method according to claim 1, wherein the Info working table comprises a bus bar table, an alternating current line table, a shunt capacitance reactor table, a two-winding transformer table, a three-winding transformer table, a generator table and a load table.
3. The method for fusing and splicing off-line simulation data of a power grid according to claim 1, wherein when the regional power difference is within a difference range given by a user, corresponding equivalent loads in the provincial dispatching data are closed; when the regional power difference value is out of the difference value range given by a user, changing an equivalent load value Ps corresponding to the transformer 110kV side in the provincial dispatching data to meet the deviation.
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