CN112421617B - Load flow calculation method and system of distributed power supply - Google Patents
Load flow calculation method and system of distributed power supply Download PDFInfo
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Abstract
The invention relates to the technical field of power system analysis, and particularly discloses a load flow calculation method of a distributed power supply. The method comprises the following steps: identifying the type of a distributed power supply of a current power system, matching the type of the distributed power supply with a pre-established load flow calculation model, and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system; extracting power system parameters required by load flow calculation, initializing to obtain a load flow calculation initial value, calculating to obtain a predicted load flow solution by using the load flow calculation initial value according to a load flow calculation model of the current power system, and correcting the predicted load flow solution by using a rapid decoupling method to obtain an accurate load flow solution. By the method, special requirements of bidirectional power flow can be met, and negative effects of the distributed power supply on the power system are minimized.
Description
Technical Field
The invention relates to the technical field of power system analysis, in particular to a load flow calculation method and system of a distributed power supply.
Background
The load flow calculation is a basic electrical calculation for researching the steady-state operation condition of the power system, has no alternative position and function in the field of power system analysis, is an indispensable tool for modern power system analysis, and is widely used for planning, operating and scientific research work of the power system. Currently, with the rapid development of economy, the pace of power grid construction is continuously accelerated, the scale of a power grid is continuously enlarged, the structure and the operation mode of the power grid become more complex, and the defects of a centralized power grid are increasingly highlighted. Meanwhile, clean energy represented by wind, light and other energy sources is widely applied to power generation due to resource exhaustion and carbon emission reduction requirements, and a distributed power generation technology is rapidly developed. The distributed power generation has the characteristics of high reliability, low pollution, high utilization rate and other new energy resources, and meanwhile, the distributed power generation has the characteristics of flexible position and dispersion, can better adapt to the dispersed power demand and resource distribution, is used in combination with a large power grid, and becomes a new direction for power grid development. However, as the capacity of the distributed power supplies connected to the power grid continuously increases, the static voltage of the power system is affected, and in addition, the distributed power supplies include multiple types, and different distributed power supplies also differ in voltage protection and the like, so that the traditional power flow algorithm cannot meet the system requirements. In order to ensure safe and stable operation of a power distribution network and power generation equipment, a power flow algorithm needs to be changed to meet the special requirement of bidirectional power flow, so that the negative influence of a distributed power supply on a power system is minimized.
Disclosure of Invention
In order to solve the technical problem that a traditional power flow algorithm in the related technology cannot meet the power flow calculation requirement of a distributed power supply, the invention provides a power flow calculation method and a power flow calculation system of the distributed power supply.
The first aspect of the embodiment of the invention discloses a load flow calculation method for a distributed power supply, which comprises the following steps:
identifying a distributed power source type of a current power system;
matching the distributed power supply type with a pre-established load flow calculation model, and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system;
extracting power system parameters required by load flow calculation and initializing to obtain an initial value of the load flow calculation;
according to the load flow calculation model of the current power system, calculating to obtain a predicted load flow solution by using the load flow calculation initial value;
and correcting the predicted power flow solution by using a rapid decoupling method to obtain an accurate power flow solution.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the predicted power flow solution is corrected by using a fast decoupling method to obtain an accurate power flow solution, the method further includes:
judging whether the accurate tide solution meets a preset convergence condition or not;
if the convergence condition is met, finishing load flow calculation, and determining a final load flow calculation result according to the accurate load flow solution;
and optimizing the grid-connected position of the distributed power supply according to the final load flow calculation result.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the matching operation performed on the distributed power supply type and a power flow calculation model established in advance, and selecting the power flow calculation model with the highest matching degree as the power flow calculation model of the current power system includes:
acquiring the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models;
constructing a matching matrix according to the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models, and constructing a neural network model based on the matching matrix;
determining the type of a certain type of distributed power supply, and acquiring matching standard data of each index and index data of each load flow calculation model under the load flow calculation requirement of the distributed power supply;
inputting the matching standard data of each index and the corresponding expected output data under the load flow calculation requirement of the distributed power supply into the neural network model for training;
inputting the index data of each load flow calculation model into the trained neural network model to obtain a matching result;
and analyzing the matching results of different load flow calculation models, and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system, thereby realizing the matching between different distributed power supply types and the load flow calculation model.
The second aspect of the embodiments of the present invention discloses a load flow calculation system for a distributed power supply, including:
the identification module is used for identifying the type of the distributed power supply of the current power system;
the matching module is used for performing matching operation on the type of the distributed power supply and a pre-established load flow calculation model, and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system;
the initialization module is used for extracting power system parameters required by load flow calculation and initializing to obtain an initial value of the load flow calculation;
the calculation module is used for calculating to obtain a predicted load flow solution by utilizing the load flow calculation initial value according to the load flow calculation model of the current power system;
and the correction module is used for correcting the predicted power flow solution by using a rapid decoupling method to obtain an accurate power flow solution.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the system further includes:
the judging module is used for judging whether the accurate power flow solution meets a preset convergence condition or not after the correcting module corrects the predicted power flow solution by using a rapid decoupling method to obtain an accurate power flow solution;
the determining module is used for finishing load flow calculation when the judging module judges that the accurate load flow solution meets the convergence condition, and determining a final load flow calculation result according to the accurate load flow solution;
and the position optimization module is used for optimizing the grid-connected position of the distributed power supply according to the final load flow calculation result.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the matching module includes:
the obtaining submodule is used for obtaining the characteristics of various distributed power supplies in the electric power system and the characteristics of various load flow calculation models;
the construction submodule is used for constructing a matching matrix according to the characteristics of various distributed power supplies in the electric power system and the characteristics of various load flow calculation models, and constructing a neural network model based on the matching matrix;
the acquisition submodule is also used for determining the type of a certain type of distributed power supply and acquiring matching standard data of each index and index data of each load flow calculation model under the load flow calculation requirement of the distributed power supply;
the training submodule is used for inputting the matching standard data of each index and the corresponding expected output data under the requirement of the load flow calculation of the distributed power supply into the neural network model for training;
the input submodule is used for inputting the index data of each load flow calculation model into the trained neural network model to obtain a matching result;
and the analysis submodule is used for analyzing the matching results of different power flow calculation models and selecting the power flow calculation model with the highest matching degree as the power flow calculation model of the current power system, so that the matching between different distributed power supply types and the power flow calculation model is realized.
A third aspect of the embodiments of the present invention discloses a computer-readable storage medium, which stores a computer program, where the computer program enables a computer to execute the load flow calculation method for a distributed power supply disclosed in the first aspect of the embodiments of the present invention.
A fourth aspect of an embodiment of the present invention discloses an electronic device, including:
a processor;
a memory having computer readable instructions stored thereon which, when executed by the processor, implement the method as previously described.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
the load flow calculation method of the distributed power supply comprises the following steps of identifying the type of the distributed power supply of a current power system, carrying out matching operation on the type of the distributed power supply and a pre-established load flow calculation model, and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system; extracting power system parameters required by load flow calculation, initializing to obtain a load flow calculation initial value, calculating to obtain a predicted load flow solution by using the load flow calculation initial value according to a load flow calculation model of the current power system, and correcting the predicted load flow solution by using a rapid decoupling method to obtain an accurate load flow solution.
According to the method, a proper algorithm model can be selected for load flow calculation based on the characteristics of the distributed power supply, the problem that the flexibility of the conventional specified load flow algorithm is insufficient is solved, and in addition, the calculation result is corrected by using a quick decoupling method, so that the accuracy of the calculation result is ensured; compared with the defect that the traditional power flow algorithm cannot meet the power flow calculation requirement of the distributed power supply, the method reduces the power flow calculation difficulty and maintains the stability of static voltage after the high-capacity distributed power supply is connected into a power grid system, so that the negative influence of the distributed power supply on the power system is minimized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart illustrating a method of power flow calculation for a distributed power source in accordance with an exemplary embodiment;
FIG. 2 is a flow chart illustrating another method for power flow calculation for a distributed power supply in accordance with an exemplary embodiment;
fig. 3 is a block diagram illustrating a distributed power flow computing system according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating a power flow calculation method of a distributed power supply according to an exemplary embodiment. As shown in fig. 1, the method includes the following steps.
And 102, the load flow calculation system performs matching operation on the type of the distributed power supply and a pre-established load flow calculation model, and selects the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system.
As an optional implementation manner, the power flow calculation system performs a matching operation on the distributed power supply type and a power flow calculation model established in advance, and selects the power flow calculation model with the highest matching degree as the power flow calculation model of the current power system, which may include:
and acquiring the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models.
In the embodiment of the invention, the load flow calculation system can acquire the types of the accessible distributed power supplies and the types of the load flow calculation models in the power system, and analyze various distributed power supplies and the load flow calculation models to obtain the corresponding characteristics. Optionally, the types of the power flow calculation model can be divided into three types, namely direct power flow, optimized mathematical solution and optimized intelligent method solution.
And constructing a matching matrix according to the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models, and constructing a neural network model based on the matching matrix.
In the embodiment of the invention, a convolutional neural network model is constructed on the basis of a matching matrix of a distributed power supply and a load flow calculation model.
Determining the type of a certain type of distributed power supply, and acquiring matching standard data of each index and index data of each load flow calculation model under the load flow calculation requirement of the distributed power supply.
In the embodiment of the present invention, optionally, the load flow calculation demand indexes of various distributed power supplies may include, but are not limited to, a precision index, a convergence index, a calculation speed index, and the like, and in addition, the matching standard data of each index may be determined according to a distributed power supply load flow calculation standard specification manual set by a power grid company, which is not limited in the embodiment of the present invention.
And inputting the matching standard data of each index and the corresponding expected output data under the load flow calculation requirement of the distributed power supply into a neural network model for training.
And inputting the index data of each load flow calculation model into the trained neural network model to obtain a matching result.
And analyzing the matching results of different load flow calculation models, and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system, thereby realizing the matching between different distributed power supply types and the load flow calculation model.
In the embodiment of the invention, the matching value of the distributed power supply and each load flow calculation model can be obtained according to the matching result obtained by the output of the neural network model. And comparing the matching value with the expected output value (data) of the trained neural network model, wherein the smaller the absolute value of the difference value between the matching value and the expected output value is, the higher the matching degree between the power flow calculation model and the distributed power supply is, and further, selecting the power flow calculation model with the highest matching degree with the distributed power supply as the power flow calculation model of the current power system, thereby realizing the matching between different distributed power supply types and the power flow calculation model.
And 103, extracting power system parameters required by the load flow calculation system, initializing the power system parameters and obtaining an initial value of the load flow calculation.
In the embodiment of the invention, the power flow calculation system can select any one power system parameter to initialize according to the characteristics of the distributed power supply, obtain the initial continuity parameter in the power flow calculation process of the current power system and determine the initial value of the power flow calculation.
And step 104, calculating by the power flow calculation system according to the power flow calculation model of the current power system by using the power flow calculation initial value to obtain a predicted power flow solution.
In the embodiment of the invention, in the process of calculation according to the load flow calculation model and the load flow calculation initial value of the current power system, the tracking direction and the step length control are set to obtain the predicted load flow solution.
And 105, correcting the predicted power flow solution by the power flow calculation system by using a rapid decoupling method to obtain an accurate power flow solution.
In the embodiment of the invention, after the predicted power flow solution is obtained through the prediction step, an accurate power flow solution (actual power flow solution) needs to be obtained through error correction, and optionally, a rapid decoupling method can be adopted for error correction in the scheme.
Therefore, by implementing the load flow calculation method of the distributed power supply described in fig. 1, a proper algorithm model can be selected for load flow calculation based on the characteristics of the distributed power supply, so that the problem that the flexibility of the conventional specified load flow algorithm is insufficient is solved, and in addition, the calculation result is corrected by using a quick decoupling method, so that the accuracy of the calculation result is ensured; compared with the defect that the traditional power flow algorithm cannot meet the power flow calculation requirement of the distributed power supply, the method reduces the power flow calculation difficulty and maintains the stability of static voltage after the high-capacity distributed power supply is connected into a power grid system, so that the negative influence of the distributed power supply on the power system is minimized.
Referring to fig. 2, fig. 2 is a schematic flow chart of another power flow calculation method for a distributed power supply according to an embodiment of the present invention. As shown in fig. 2, the power flow calculation method of the distributed power supply may include the following steps:
in the embodiment of the present invention, the method for calculating the power flow of the distributed power supply includes steps 201 to 205, and for the description of the steps 201 to 205, please refer to the detailed description for the steps 101 to 105 in the first embodiment, which is not described in detail herein.
And step 207, finishing the load flow calculation by the load flow calculation system, and determining a final load flow calculation result according to the accurate load flow solution.
And 208, optimizing the grid-connected position of the distributed power supply by the power flow calculation system according to the final power flow calculation result.
In the embodiment of the invention, the configuration and the power generation level of the distributed power supply are guided according to the final load flow calculation result obtained by the load flow calculation model, so that the actual voltage stability level of the power distribution network can be improved.
Therefore, by implementing the load flow calculation method of the distributed power supply described in fig. 2, a proper algorithm model can be selected for load flow calculation based on the characteristics of the distributed power supply, so that the problem that the flexibility of the conventional specified load flow algorithm is insufficient is solved, and in addition, the calculation result is corrected by using a rapid decoupling method, so that the accuracy of the calculation result is ensured; compared with the defect that the traditional power flow algorithm cannot meet the power flow calculation requirement of the distributed power supply, the method reduces the power flow calculation difficulty and maintains the stability of static voltage after the high-capacity distributed power supply is connected into the power grid system, so that the negative influence of the distributed power supply on the power system is minimized.
Fig. 3 is a block diagram illustrating a distributed power flow computing system according to an exemplary embodiment. As shown in fig. 3, the system includes:
the identification module 301 is configured to identify a distributed power source type of a current power system, and trigger the matching module 302 to start.
The matching module 302 is configured to perform matching operation on the distributed power supply type and a pre-established load flow calculation model, select the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system, and trigger the initialization module 303 to start.
The initialization module 303 is configured to extract and initialize the power system parameters required by the load flow calculation to obtain an initial value of the load flow calculation, and provide the initial value of the load flow calculation to the calculation module 303.
The calculation module 304 is configured to calculate a predicted power flow solution according to a power flow calculation model of the current power system by using the power flow calculation initial value, and provide the predicted power flow solution to the correction module 305.
And the correcting module 305 is configured to correct the predicted power flow solution by using a fast decoupling method to obtain an accurate power flow solution.
As an optional implementation, the system may further include:
the judging module is used for correcting the predicted power flow solution by using a quick decoupling method at the correcting module to obtain an accurate power flow solution and then judging whether the accurate power flow solution meets a preset convergence condition or not;
the determining module is used for finishing the load flow calculation when the judging module judges that the accurate load flow solution meets the convergence condition, and determining a final load flow calculation result according to the accurate load flow solution;
and the position optimization module is used for optimizing the grid-connected position of the distributed power supply according to the final load flow calculation result. As another optional implementation, the matching module may include:
and the obtaining submodule is used for obtaining the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models.
And the construction submodule is used for constructing a matching matrix according to the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models, and constructing a neural network model based on the matching matrix.
The obtaining submodule is further used for determining the type of a certain type of distributed power supply and obtaining matching standard data of each index and index data of each load flow calculation model under the load flow calculation requirement of the distributed power supply.
And the training submodule is used for inputting the matching standard data of each index and the corresponding expected output data under the load flow calculation requirement of the distributed power supply into the neural network model for training.
And the input submodule is used for inputting the index data of each load flow calculation model into the trained neural network model to obtain a matching result.
And the analysis submodule is used for analyzing the matching results of different power flow calculation models and selecting the power flow calculation model with the highest matching degree as the power flow calculation model of the current power system, so that the matching between different distributed power supply types and the power flow calculation model is realized.
In the embodiment of the present invention, the modules are not shown in the drawing.
Therefore, by implementing the system described in the figure 3, a proper algorithm model can be selected for load flow calculation based on the characteristics of the distributed power supply, the problem that the flexibility of the conventional specified load flow algorithm is insufficient is solved, and in addition, the calculation result is corrected by using a quick decoupling method, so that the accuracy of the calculation result is ensured; compared with the defect that the traditional power flow algorithm cannot meet the power flow calculation requirement of the distributed power supply, the method reduces the power flow calculation difficulty and maintains the stability of static voltage after the high-capacity distributed power supply is connected into the power grid system, so that the negative influence of the distributed power supply on the power system is minimized.
The present invention also provides an electronic device, including:
a processor;
a memory having computer readable instructions stored thereon, which when executed by the processor, implement the power flow calculation method of the distributed power supply as previously described.
In an exemplary embodiment, the present invention also provides a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the power flow calculation method of the distributed power supply as described above.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (4)
1. A power flow calculation method of a distributed power supply is characterized by comprising the following steps:
identifying a distributed power source type of a current power system;
acquiring the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models;
constructing a matching matrix according to the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models, and constructing a neural network model based on the matching matrix;
determining the type of a certain type of distributed power supply, and acquiring matching standard data of each index and index data of each load flow calculation model under the load flow calculation requirement of the distributed power supply;
inputting the matching standard data of each index and the corresponding expected output data under the load flow calculation requirement of the distributed power supply into the neural network model for training;
inputting the index data of each load flow calculation model into the trained neural network model to obtain a matching result;
analyzing the matching results of different load flow calculation models, and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system, so as to realize the matching between different distributed power supply types and the load flow calculation model;
extracting power system parameters required by load flow calculation and initializing to obtain an initial value of the load flow calculation;
according to the load flow calculation model of the current power system, calculating to obtain a predicted load flow solution by using the load flow calculation initial value;
and correcting the predicted power flow solution by using a rapid decoupling method to obtain an accurate power flow solution.
2. The method of claim 1, wherein after the predicted power flow solution is corrected by a fast decoupling method to obtain an accurate power flow solution, the method further comprises:
judging whether the accurate power flow solution meets a preset convergence condition or not;
if the convergence condition is met, finishing load flow calculation, and determining a final load flow calculation result according to the accurate load flow solution;
and optimizing the grid-connected position of the distributed power supply according to the final load flow calculation result.
3. A power flow calculation system for a distributed power supply, comprising:
the identification module is used for identifying the type of the distributed power supply of the current power system;
the matching module is used for matching the type of the distributed power supply with a pre-established load flow calculation model and selecting the load flow calculation model with the highest matching degree as the load flow calculation model of the current power system;
the initialization module is used for extracting power system parameters required by load flow calculation and initializing to obtain an initial value of the load flow calculation;
the calculation module is used for calculating to obtain a predicted load flow solution by utilizing the load flow calculation initial value according to the load flow calculation model of the current power system;
the correction module is used for correcting the predicted power flow solution by using a rapid decoupling method to obtain an accurate power flow solution;
the matching module comprises:
the obtaining submodule is used for obtaining the characteristics of various distributed power supplies in the power system and the characteristics of various load flow calculation models;
the construction submodule is used for constructing a matching matrix according to the characteristics of various distributed power supplies in the electric power system and the characteristics of various load flow calculation models, and constructing a neural network model based on the matching matrix;
the acquisition submodule is also used for determining the type of a certain type of distributed power supply and acquiring matching standard data of each index and index data of each load flow calculation model under the load flow calculation requirement of the distributed power supply;
the training submodule is used for inputting the matching standard data of each index and the corresponding expected output data under the requirement of the load flow calculation of the distributed power supply into the neural network model for training;
the input submodule is used for inputting the index data of each load flow calculation model into the trained neural network model to obtain a matching result;
and the analysis submodule is used for analyzing the matching results of different power flow calculation models and selecting the power flow calculation model with the highest matching degree as the power flow calculation model of the current power system, so that the matching between different distributed power supply types and the power flow calculation model is realized.
4. The system of claim 3, further comprising:
the judging module is used for judging whether the accurate power flow solution meets a preset convergence condition or not after the correcting module corrects the predicted power flow solution by using a rapid decoupling method to obtain an accurate power flow solution;
the determining module is used for finishing load flow calculation when the judging module judges that the accurate load flow solution meets the convergence condition, and determining a final load flow calculation result according to the accurate load flow solution;
and the position optimization module is used for optimizing the grid-connected position of the distributed power supply according to the final load flow calculation result.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0998006A1 (en) * | 1998-10-27 | 2000-05-03 | Germar Dr. Dr. Beichler | Arrangement and method for adapting the power of an electric distribution network to temporary peak loads |
| CN103178522A (en) * | 2013-03-28 | 2013-06-26 | 国家电网公司 | Network voltage stability and continuity load flow calculation method considering characteristics of distributed generation |
| JP2017151651A (en) * | 2016-02-23 | 2017-08-31 | 大阪瓦斯株式会社 | Surplus power purchase price determination system, surplus power purchase unit price determination system, and reference purchase unit price setting system |
| CN111478335A (en) * | 2020-05-07 | 2020-07-31 | 国网山东省电力公司经济技术研究院 | Power distribution network load flow calculation method and system considering distributed photovoltaic |
-
2020
- 2020-11-06 CN CN202011231691.8A patent/CN112421617B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0998006A1 (en) * | 1998-10-27 | 2000-05-03 | Germar Dr. Dr. Beichler | Arrangement and method for adapting the power of an electric distribution network to temporary peak loads |
| CN103178522A (en) * | 2013-03-28 | 2013-06-26 | 国家电网公司 | Network voltage stability and continuity load flow calculation method considering characteristics of distributed generation |
| JP2017151651A (en) * | 2016-02-23 | 2017-08-31 | 大阪瓦斯株式会社 | Surplus power purchase price determination system, surplus power purchase unit price determination system, and reference purchase unit price setting system |
| CN111478335A (en) * | 2020-05-07 | 2020-07-31 | 国网山东省电力公司经济技术研究院 | Power distribution network load flow calculation method and system considering distributed photovoltaic |
Non-Patent Citations (1)
| Title |
|---|
| 求取电力系统PV曲线的改进连续潮流算法;王红燕 等;《电气技术》;20110731(第7期);第28-31页 * |
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