CN113991677A - Regional power grid load flow online calculation method - Google Patents
Regional power grid load flow online calculation method Download PDFInfo
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- CN113991677A CN113991677A CN202111073347.5A CN202111073347A CN113991677A CN 113991677 A CN113991677 A CN 113991677A CN 202111073347 A CN202111073347 A CN 202111073347A CN 113991677 A CN113991677 A CN 113991677A
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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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Abstract
The invention discloses a regional power grid load flow online calculation method, which is characterized in that the distributed power grid type of a current regional power grid system is identified; matching the type of the distributed power grid 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 grid system; extracting operation parameters of a power grid system required by load flow calculation and initializing to obtain an initial value of the load flow calculation; according to a load flow calculation model of the current power grid system, calculating to obtain a predicted load flow solution by using a load flow calculation initial value; and correcting the power flow prediction solution by using a rapid decoupling method to obtain an accurate power flow solution. According to the method, after the high-capacity distributed power grid is accessed to the power grid system, the load flow calculation difficulty is reduced, and the running stability of the power grid is maintained, so that the negative influence of the distributed power grid on the power system is minimized.
Description
Technical Field
The invention belongs to the technical field of load flow calculation and analysis methods in a power grid system, and particularly relates to an on-line calculation method for regional power grid load flow.
Background
Tidal current computing is a basic power grid computing method for researching the steady-state operation condition of a power grid system, has irreplaceable status and function in the field of power grid system analysis, is an indispensable tool for modern power grid system analysis, and is widely used for planning, operating and scientific research work of the power grid 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, the defects of a centralized power grid are increasingly highlighted, and meanwhile, the distributed power grid technology is rapidly developed. The distributed power grid 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.
With the continuous increase of the capacity of the distributed power grid, the stability of the power grid system is affected, and in addition, the distributed power grids comprise various types, and different distributed power grids are different in the aspects of protection of the power grid system and the like, so that the traditional power grid load flow algorithm cannot meet the system requirements. In order to ensure safe and stable operation of the power grid, a power flow algorithm needs to be changed to meet the special requirement of power flow, so that the negative influence of the distributed power grid on the power system is minimized.
Disclosure of Invention
In order to solve the technical problems, the invention provides an online calculation method for regional power grid load flow, which has the following specific scheme:
a regional power grid load flow online calculation method comprises the following steps:
identifying the type of a distributed power grid of a current regional power grid system;
matching the type of the distributed power grid 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 grid system;
extracting operation parameters of a power grid system required by load flow calculation and initializing to obtain an initial value of the load flow calculation;
according to the current power grid system load flow calculation model, calculating to obtain a predicted load flow solution by using the load flow calculation initial value;
and correcting the power flow prediction solution by using a rapid decoupling method to obtain an accurate power flow solution.
As a preferred embodiment of the present invention, after the power flow prediction 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 grid according to the final load flow calculation result.
Preferably, as an embodiment of the present invention, the matching operation is performed on the distributed power grid type and a pre-established load flow calculation model, and the load flow calculation model with the highest matching degree is selected as the load flow calculation model of the current power grid system, which specifically includes the following steps:
acquiring the characteristics of various distributed power grids in a power grid system and the characteristics of various load flow calculation models;
constructing a matching matrix according to the characteristics of various distributed power grids in the power grid 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 grid, 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 grid;
inputting the matching standard data of each index and the corresponding expected output data under the load flow calculation requirement of the distributed power grid 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 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 grid system, thereby realizing the matching between different distributed power grid types and the power flow calculation model.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
(1) according to the regional power grid load flow online calculation method, the type of a distributed power grid is matched with a pre-established load flow calculation model, and the load flow calculation model with the highest matching degree is selected as the load flow calculation model of the current power grid system; extracting power grid 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 current power grid system load flow calculation model, and correcting the load flow predicted solution by using a rapid decoupling method to obtain an accurate load flow solution.
(2) According to the regional power grid load flow online calculation method, based on the characteristics of a distributed power grid, a proper algorithm model can be selected for load flow calculation, the problem that the flexibility of a 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 grid, the method reduces the power flow calculation difficulty and maintains the operation stability of the power grid after the high-capacity distributed power grid is connected into the power grid system, so that the negative influence of the distributed power grid on the power system is minimized.
Drawings
FIG. 1 is a flow chart of a regional power grid load flow on-line calculation method according to the invention;
FIG. 2 is a flow chart of another method for calculating regional power grid load flow on line;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be 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 invention.
Referring to fig. 1, an embodiment of the invention provides an online calculation method for regional power grid load flow, which specifically includes the following steps.
And 102, the load flow calculation system performs matching operation on the type of the distributed power grid 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 grid system.
In this embodiment, the load flow calculation system performs matching operation on the distributed power grid type 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 grid system, which specifically includes: and acquiring the characteristics of various distributed power grids in the power grid system and the characteristics of various load flow calculation models.
In this embodiment, the load flow calculation system may obtain the types of the accessible distributed power grids in the power grid system and the types of the load flow calculation models, and analyze the various distributed power grids and the load flow calculation models to obtain the corresponding characteristics thereof. The types of the load flow calculation model can be divided into three types, namely direct load flow, optimized mathematical solution, optimized intelligent method solution and the like. And constructing a matching matrix according to the characteristics of various distributed power grids in the power grid system and the characteristics of various load flow calculation models, and constructing a neural network model based on the matching matrix.
In the embodiment, the convolutional neural network model is constructed based on the matching matrix of the distributed load flow calculation model and the load flow calculation model in the embodiment. Determining the type of a certain type of distributed power grid, 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 grid.
In the embodiment of the present invention, the load flow calculation demand indexes of various distributed power grids may include, but are not limited to, accuracy indexes, convergence indexes, calculation speed indexes, and the like, and in addition, the matching standard data of each index may be determined according to a distributed power grid 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 grid 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 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 grid system, thereby realizing the matching between different distributed power grid types and the power flow calculation model.
In the embodiment of the invention, the matching value of the distributed power grid 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 grid is, and further, selecting the power flow calculation model with the highest matching degree with the distributed power grid as the power flow calculation model of the current power grid system, thereby realizing the matching between different distributed power grid types and the power flow calculation model.
And 103, extracting power grid system parameters required by load flow calculation by the load flow calculation system, and initializing to obtain an initial value of the load flow calculation. In this embodiment, the load flow calculation system may select any one power grid system parameter according to the characteristics of the distributed power grid to perform initialization, obtain an initial continuity parameter in the load flow calculation process of the current power grid system, and determine an initial value of the load flow calculation.
And step 104, calculating by the load flow calculation system according to the load flow calculation model of the current power grid system by using the load flow calculation initial value to obtain a predicted load flow solution. In the process of calculating according to a load flow calculation model and a load flow calculation initial value of the current power grid system, a tracking direction and step length control are set to obtain a predicted load flow solution.
And 105, correcting the power flow prediction 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.
In the embodiment, the online calculation method for the regional power grid load flow can select a proper algorithm model for load flow calculation based on the characteristics of the distributed power grid, solves the problem that the flexibility of the traditional specified load flow algorithm is not enough, corrects the calculation result by using a quick decoupling method, ensures the accuracy of the calculation result, and can not meet the load flow calculation requirement of the distributed power grid compared with the traditional load flow algorithm.
Referring to fig. 2, the method for calculating regional power grid load flow on line may include the following steps:
in the embodiment of the present invention, the method for calculating the regional power grid load flow on line includes steps 201 to 205, and for the description of steps 201 to 205, please refer to the detailed description of steps 101 to 105 in the first embodiment, which is not described again in the embodiment of the present invention.
Step 206, the power flow calculation system judges whether the accurate power flow solution meets a preset convergence condition, and if the accurate power flow solution meets the preset convergence condition, the step 207 is triggered to be executed; and if the convergence condition is not met, taking the accurate load flow solution as a new load flow calculation initial value, and performing load flow calculation again until the convergence condition is met.
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 step 208, the power flow calculation system optimizes the grid-connected position of the distributed power grid according to the final power flow calculation result.
In the embodiment of the invention, the configuration of the distributed power grid and the operation stability level of the power grid are guided according to the final load flow calculation result obtained by the load flow calculation model, so that the actual operation stability of the power distribution network can be improved.
Therefore, the online calculation method for the regional power grid load flow can select a proper algorithm model for load flow calculation based on the characteristics of the distributed power grid, solves the problem that the conventional specified load flow algorithm is not flexible enough, and corrects the calculation result by using a quick decoupling method, thereby ensuring the accuracy of the calculation result.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (3)
1. A regional power grid load flow online calculation method is characterized by comprising the following steps:
identifying the type of a distributed power grid of a current regional power grid system;
matching the type of the distributed power grid 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 grid system;
extracting operation parameters of a power grid system required by load flow calculation and initializing to obtain an initial value of the load flow calculation;
according to the current power grid system load flow calculation model, calculating to obtain a predicted load flow solution by using the load flow calculation initial value;
and correcting the power flow prediction solution by using a rapid decoupling method to obtain an accurate power flow solution.
2. The regional power grid power flow online calculation method of claim 1, wherein the power flow prediction solution is corrected by using a fast decoupling method, and after an accurate power flow solution is obtained, the method further comprises:
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 grid according to the final load flow calculation result.
3. The regional power grid load flow online calculation method according to claim 1, wherein the distributed power grid type is matched with a pre-established load flow calculation model, and the load flow calculation model with the highest matching degree is selected as the load flow calculation model of the current power grid system, and the method specifically comprises the following steps:
acquiring the characteristics of various distributed power grids in a power grid system and the characteristics of various load flow calculation models;
constructing a matching matrix according to the characteristics of various distributed power grids in the power grid 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 grid, 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 grid;
inputting the matching standard data of each index and the corresponding expected output data under the load flow calculation requirement of the distributed power grid 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 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 grid system, thereby realizing the matching between different distributed power grid types and the power flow calculation model.
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