CN105046587A - Grid equipment sequential management and simulation analysis method - Google Patents

Abstract

The invention relates to a time sequence management and simulation analysis method for power grid equipment. The method can automatically generate the model parameters and connection relations of the power system equipment at the time according to the time specified by the user, and then combine the online data or plan data to obtain the The power grid simulation data at each moment. The method is fast and effective, and greatly improves the management and simulation capabilities of power grid equipment.

Description

Sequence management and simulation analysis method of power grid equipment

technical field

The invention belongs to the field of power system stability analysis, in particular to a time sequence management and simulation analysis method for power grid equipment.

Background technique

With the rapid improvement of the economic level, the demand for electricity in Chinese society is also becoming stronger. In order to ensure the safe and reliable transmission of electric energy, major projects such as west-to-east power transmission, national networking, and UHV power transmission have been carried out in China's power grid. With the expansion of the grid scale, the security and stability of the grid is becoming more and more difficult to control. Many power grid failures that have occurred in the world show that the increase of transmission voltage level, the expansion of network scale and the increase of transmission capacity will increase the harm caused by grid failure, and the cause and process of failure will be more complicated. Carrying out comprehensive and detailed monitoring, analysis and control of the operating grid to ensure the safety of power production, transmission and use is an urgent need of the power industry in various countries.

All kinds of equipment are the foundation of the power system, and the accuracy of its model parameters and operating status directly determines the credibility of the simulation analysis results. In practice, due to the large number of power system equipment and the complexity of management, this important link is often overlooked because it is difficult to manage, resulting in deviations in analysis results. For the management of power system equipment, it should include model parameters, connection relationships, commissioning/decommissioning time, etc., and should be managed incrementally with time. When it is necessary to carry out stability analysis, the time point can be specified first, and the system will generate calculation data according to the time and management database data for simulation analysis. At this time, the reliability of the data is high.

Contents of the invention

Purpose of the invention:

Aiming at the problems existing in the prior art, the invention provides a time sequence management and simulation analysis method for grid equipment.

Technical solutions:

A method for timing management and simulation analysis of power grid equipment, characterized in that: the steps of the method are as follows:

(1) Obtain the calculation data at a specified time:

Step 1 Match basic data:

Find the matching basic data according to the time point specified by the user;

Step 2 superimpose change information:

Retrieve all the change information from the monthly basic data to the specified time point in the database, arrange the information in ascending order of time, and superimpose the change information on the corresponding equipment attributes of the basic data one by one;

Step 3 Export calculation data:

The data after all changes are superimposed can reflect the power system model parameters and connection relationship at a specified time;

(2) Refresh monthly basic data

The system automatically exports the data of the first day every month as the basic data of the month, and the steps are the same as steps 2 to 3 in step (1); here, the refresh of the monthly basic data refers specifically to when some previously entered information is incorrect , will cause all the monthly basic data generated later to contain the wrong data and need to be regenerated;

Step a re-enter the correct information:

The user finds and re-enters the correct information, and at the same time starts the basic data refresh;

Step b sequentially refreshes subsequent basic data:

According to the corrected time point, the system regenerates the monthly basic data backwards until the current moment, and the steps are the same as steps two to three in step (1).

When matching the basic data in the first step, if the basic data is not generated in this month, continue to find the latest set of basic data; if the specified time is earlier than the original data, an error will be reported.

When the change information is superimposed in the second step, when there are multiple changes of the same attribute of the same device, because they are sorted in ascending order, the latter change will automatically update the previous change.

When the calculation data is exported in the step 3, the system operation mode can be further combined with historical data or planning data to obtain the calculation data at this moment, which can be used for various stability simulation studies.

Advantages and effects:

The method for timing management and simulation analysis of power grid equipment in the present invention has the following advantages and beneficial effects:

(1) The present invention can automatically generate the model parameters and connection relationship of the power system equipment at the time specified by the user, and then combine the online data or plan data to obtain the power grid simulation data at the time.

(2) This method is fast and effective, and greatly improves the management and simulation capabilities of power grid equipment.

Description of drawings

Fig. 1 is the working flow chart of the present invention.

Detailed ways

The power system is composed of thousands of various types of equipment, and each equipment is constantly changing from commissioning to decommissioning. For example, the impedance value of the AC line will have a certain difference when the temperature is high and low. In practice, two different sets of parameters in summer and winter are often used for simulation analysis. This puts forward higher requirements for the timing management of power system equipment, that is, different model parameters are used at different time points. In addition to model parameters, the information that needs to be managed in time sequence also includes: equipment connection relationship, commissioning/decommissioning time, etc.

The timing management of power system equipment firstly has a set of basic data, which is used as zero-time data, and subsequent changes are based on this; secondly, it is necessary to add time stamps to all the above changes, and then combine the change information for database storage and management. Finally, when the user needs to carry out the simulation analysis, the system searches the database according to the selected time point, superimposes all the change information on the basic data, forms the calculation data of the time point, and performs the simulation analysis.

The invention relates to a time sequence management and simulation analysis method for power grid equipment. Based on the system, power system calculation data at a specified time is obtained, and simulation research is carried out. The management content includes equipment models, parameters, commissioning/decommissioning time, etc.

Below in conjunction with accompanying drawing, the present invention will be further described:

1. Basic data

When building this system, it is necessary to provide a set of raw data as the power system equipment information at zero time, and add a time stamp. After that, the system will automatically export a set of network-wide data on the first day of each month as the basic data of the month. In this way, when the user needs to calculate data at a certain time, the system automatically finds the basic data of the month, and superimposes the equipment change information from the first day of the month to the specified time on the basic data to form calculation data. This can prevent the system from superimposing the original data and prompt the efficiency of search.

The basic data is the information of all equipment in the whole network required for simulation calculation, which is saved in the file format of Power System Comprehensive Analysis Program (PSASP). All equipment is uniquely marked with the name of the component, including:

(1) Busbar: name, voltage upper limit/lower limit, etc.;

(2) AC line: name, impedance value, current limit, etc.;

(3) Transformer: name, type, impedance value, capacity limit, etc.;

(4) Generator: name, power upper/lower limit, dynamic model parameters, etc.;

(5) Load: name, dynamic model parameters, etc.

2. Change information

Change information refers to any state of a certain equipment, changes in model parameters, and all change information is incrementally managed through the database. For the convenience of query and management, the monthly basic data automatically generated every month, as a special change, is also recorded in the database. The data table structure is as follows:

Below in conjunction with accompanying drawing, the present invention will be further described:

As shown in Figure 1, the specific steps of the method are as follows:

(1) Obtain the calculation data at a specified time

Step 1 Match basic data

Find matching underlying data based on a user-specified point in time. If the basic data is not generated in this month, continue to find the latest set of basic data forward; if the specified time is earlier than the original data, an error will be reported.

Step 2 Overlay change information

Retrieve all the change information from the monthly basic data to the specified time point in the database, arrange the information in ascending order of time, and superimpose the change information on the corresponding equipment attributes of the basic data one by one. When there are multiple changes of the same property of the same device, the latter change will automatically update the previous change because it is sorted in ascending order, which also meets the actual requirements.

Step 3 Export calculation data

The data after all changes are superimposed can reflect the power system model parameters and connection relationship at a specified time. At this time, historical data or planned data can be further combined to change the system operation mode, and the calculation data at this moment can be obtained for various stability simulation studies.

(2) Refresh monthly basic data

The system automatically exports the data of the first day every month as the basic data of the month, and the steps are the same as the previous section. The refresh of monthly basic data here specifically means that when some previously entered information is wrong, all monthly basic data generated later will contain the wrong data and need to be regenerated.

Step 1 Re-enter the correct information

The user finds and re-enters the correct information, and at the same time starts the basic data refresh.

Step 2 Refresh subsequent basic data in sequence

According to the corrected time point, the system regenerates the monthly basic data backwards until the current moment, and the steps are the same as in the previous section.

The timing management and simulation analysis method of power grid equipment in the present invention performs timing management on the change of each equipment, and regularly generates basic data every month; when the user needs to obtain data at a certain point in time, the system automatically matches the basic data of the month , and superimpose the subsequent equipment change information over time on the basic data to form the simulation calculation data at that moment.

Claims (4)

1. grid equipment timing management and a simulating analysis, is characterized in that: the method step is as follows:

(1) fixed time calculating data are obtained:

Step one mates basic data:

The time point of specifying according to user searches the basic data of coupling;

Step 2 superposition change information:

Retrieve all changes information of the point from monthly basic data to the fixed time in a database, and information temporally ascending order arrangement, one by one change information is added on the relevant device attribute of basic data;

Step 3 derives and calculates data:

Data after all changes have superposed, can reflect the model parameters of electric power system and annexation of specifying the moment;

(2) monthly basic data is refreshed

System monthly derives the basic data of data as this month of first day automatically, and step is identical with the step 2 to three in step (1); Here the monthly basic data of refreshing, refer in particular to when before certain entry information wrong time, the whole monthly basic data generated after causing all includes this misdata, needs to regenerate;

Step a is typing correct information again:

Found by user and typing correct information, the simultaneously refreshing of startup basic data again;

Step b order refreshes follow-up basic data:

System according to corrigendum time point, to the basic data regenerated afterwards monthly, until current time, the step 2 to three in the same step of step (1).

2. grid equipment timing management according to claim 1 and simulating analysis, is characterized in that: when described step one mates basic data, if this moon non-formation base data, then continue to find forward nearest a set of basic data; If the fixed time early than raw data, then reports an error.

3. grid equipment timing management according to claim 1 and simulating analysis, it is characterized in that: during described step 2 superposition change information, when there is the repeatedly change of the same attribute of same equipment, owing to being ascending sort, then after, a change updates out last change automatically.

4. grid equipment timing management according to claim 1 and simulating analysis, it is characterized in that: when described step 3 derives and calculates data, system operation mode can be changed further combined with historical data or planning data, obtain the calculating data in this moment, study for all kinds of stability simulation.