Evaluation method of alternating-current and direct-current hybrid power distribution network system
By processing and evaluating the power consumption data of the distribution network system in the simulation system, the problem of the theorizing of the existing evaluation system results is solved, and a more practical and reliable distribution network safety assessment is achieved.
Patent Information
- Application Number
- CN202410220111.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-02-28
- Publication Date
- 2025-03-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing distribution network evaluation system relies on theoretical data estimation, resulting in low safety evaluation results and lack of practical application reference.
By inputting data information of the AC network and DC network into the simulation system, counting electricity consumption data, attaching threshold processing, randomly selecting data groups for simulation evaluation, and using a virtual model to perform safety assessment of the distribution network system.
The actual improvement of the safety assessment results of the distribution network system has been achieved, and the referenceability of the assessment has been improved, ensuring that the distribution network system can operate normally under different power consumption situations.
Smart Images
Figure CN119624151A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of power distribution network security assessment, and in particular relates to an assessment method for an AC / DC hybrid power distribution network system. Background Art
[0002] Distribution network transformation planning is a very realistic issue in the actual operation of distribution networks. The overall implementation of the transformation plan needs to consider multiple influencing factors. Among them, reliability, as an important influencing factor of distribution network operation, plays a very important role in the distribution network transformation planning.
[0003] On the one hand, with the continuous growth of existing loads, the carrying capacity of traditional AC distribution networks is gradually approaching its limit. Traditional methods such as replacing equipment require replacement of all equipment in the entire network, which is too costly. On the other hand, with the vigorous development of DC loads such as electric vehicles and renewable, clean and efficient distributed power sources such as photovoltaics in recent years, the transformation method of traditional power grids will inevitably change. DC transformation can solve the above two problems.
[0004] The reliability of the distribution network is the basis for the safe operation of the system. If the reliability is too low, all its benefits and advantages cannot be reflected. Therefore, reliability is the first factor that needs to be considered in power grid construction. Reliability assessment of the distribution network is of great and far-reaching significance. However, the existing assessment system only extracts the data of the distribution network system and then makes an estimate to determine the safety of the distribution network. The results of the safety assessment tend to be theoretical and have low overall reference value.
[0005] Therefore, it is necessary to improve the prior art to solve the above-mentioned technical problems. Summary of the invention
[0006] The purpose of the present invention is to provide an evaluation method for an AC / DC hybrid distribution network system. The evaluation method collects statistics on the electricity consumption in the area where the power grid is specifically laid, so as to make an evaluation based on the actual situation. This solves the problem that the existing distribution network evaluation system only extracts the data of the power grid system and then makes an estimate to determine the safety of the distribution network. The results of the safety evaluation tend to be theoretical and have low overall reference value.
[0007] In order to solve the above technical problems, the present invention is achieved through the following technical solutions: The present invention is an evaluation method for an AC / DC hybrid distribution network system, and the evaluation method specifically comprises the following steps: S1: Input the data information of the AC network and the DC network in the distribution network system into the simulation system; S2: Select the area where the distribution network system needs to be used, and the statistical module automatically collects statistics on the power consumption data of the area; S3: The thresholding module automatically assigns thresholds to the statistical data of the statistical module, and the extraction module extracts certain data within the range of the threshold to form a data group; S4: the processing module automatically inputs the extracted data group into the simulation module, and the selection module randomly selects a group of data to input into the simulation module for automatic simulation to evaluate the distribution network system; S5: During the simulation, the timing module will time the input data group. When the preset time is reached, the selection module will automatically select another group of data from the data group for simulation; The simulation system includes an input module, a statistical module, a threshold module, an extraction module, a processing module, a simulation module, a selection module and a timing module. The processing module is electrically connected to the input module, the statistical module, the threshold module, the simulation module and the extraction module respectively. The extraction module is electrically connected to the threshold module and the processing module respectively. The selection module is electrically connected to the simulation module and the timing module respectively.
[0008] Furthermore, the data information of the AC network and the DC network in step S1 includes the rated voltage, current and power data of each device in the distribution network system.
[0009] Furthermore, the statistical module is used to collect statistics on the electricity consumption data of the target area and perform probability statistics in a normal distribution manner.
[0010] Furthermore, the electricity usage data includes AC and DC conditions, power, current and voltage.
[0011] Furthermore, the method in which the thresholding module automatically assigns thresholds to the statistical data of the statistical module includes: assigning values according to the probability size.
[0012] Furthermore, the method for evaluating the distribution network system includes: the simulation module inputs the selected data group into a virtual model of the distribution network system pre-constructed in the simulation module to evaluate the distribution network system.
[0013] Furthermore, in step S5, the selection module repeats the selection simulation for the data group after the simulation is completed.
[0014] Furthermore, the simulation system also includes a display module and a cloud storage module, and the display module and the cloud storage module are both electrically connected to the processing module.
[0015] The present invention has the following beneficial effects: The present invention collects statistics on the power consumption data of the area where the distribution network is specifically laid, and performs normal distribution processing. The thresholding module thresholds the power consumption data of the target area according to the specific situation of the normal distribution. The extraction module randomly selects multiple groups of data within the range of the threshold. The selection module randomly selects the data group and inputs it into the simulation module. The distribution network system is evaluated by using a pre-built virtual model of the distribution network system to determine whether the distribution network system to be evaluated can operate normally under different power consumption conditions. In this way, the safety evaluation of the power grid can be realized. The method applies the evaluation of the distribution network system to the area where the distribution network system is specifically required to be laid. The result of the safety evaluation is highly practical and has high overall referenceability. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.
[0017] Figure 1 It is a principle block diagram of the simulation system in the present invention. DETAILED DESCRIPTION
[0018] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.
[0019] See also Figure 1 As shown, the present invention is an evaluation method for an AC / DC hybrid distribution network system, and the evaluation method specifically comprises the following steps: S1: Input the data information of the AC network and DC network in the distribution network system into the simulation system. The data information of the AC network and DC network includes the rated voltage, current and power data of each device in the distribution network system. Each device in the power grid system includes output, transmission and input equipment and accessories, such as transformers, transmission lines and distribution cabinets.
[0020] The simulation system includes an input module, a statistical module, a threshold module, an extraction module, a processing module, a simulation module, a selection module and a timing module. The processing module is electrically connected to the input module, the statistical module, the threshold module, the simulation module and the extraction module through conductive lines, the extraction module is electrically connected to the threshold module and the processing module through conductive lines, and the selection module is electrically connected to the simulation module and the timing module through conductive lines. The simulation system also includes a display module and a cloud storage module, and the display module and the cloud storage module are both electrically connected to the processing module through conductive lines; The input module is used for the staff to input the required data; the statistical module is used to count the electricity consumption data of the target area and perform probability statistics through normal distribution; the threshold module is used to add a threshold to the statistical electricity consumption; the extraction module is used to extract data within the range value after the threshold; the selection module is used to input the extracted data into the simulation module for evaluation simulation in each period of time, the timing module is used to time the data running time, the processing module is used to control the modules in this system, the display module can display the processed data for the convenience of staff to view, and the cloud storage module is used to store the various data required in this system.
[0021] S2: Select the area where the distribution network system needs to be used. The statistical module automatically counts the electricity consumption data of the area. The raw statistical data can be obtained from the cloud storage module, and the cloud storage module is mainly used to store the existing electricity consumption data of the area. Of course, the basic data in the cloud storage module can also be automatically reported by the personnel in the area. The statistical module is used to count the electricity consumption data of the target area and perform probability statistics in a normal distribution manner. The statistical electricity consumption data includes AC and DC conditions, electricity, current and voltage data, such as the current, voltage and electricity consumption of a certain device when it is in use, as well as AC and DC usage.
[0022] S3: The threshold module automatically assigns thresholds to the data collected by the statistics module. The extraction module selects certain data within the threshold range to form a data group. The threshold module assigns values according to the probability. The threshold is expressed as M1±a~M2±b, where M1 and M2 are different power consumption data, and a and b are range values; let the probability value of M1 be P1, and the probability value of M2 be P2. If P1≤P2, then 0≤a<b, and if P1>P2, then 0≤b<a. For example, through the normal distribution method, it can be obtained that the commonly used voltages in a certain area and a certain period of time are 380V AC and 48V DC, and the probability of 380V appearing is greater than the probability of 48V appearing. Then the threshold of the threshold module can be determined as 48±2V~380±10V.
[0023] S4: The processing module automatically inputs the selected data group into the simulation module. The selection module randomly selects a group of data and inputs it into the simulation module for automatic simulation to evaluate the distribution network system. The simulation module inputs the selected data into the virtual model of the distribution network system pre-built in the simulation module, and completes the evaluation of the distribution network system through reverse operation. The so-called reverse operation is to use the input power consumption data as the target value, and supply the power consumption data through the distribution network system to check whether each device in the distribution network system can be used safely.
[0024] S5: During the simulation, the timing module will time the input data group. When the preset time is reached, the selection module will automatically select another group of data from the data group for simulation. The selection module can repeat the selection simulation for the data after the simulation is completed.
[0025] The above are only preferred embodiments of the present invention and do not limit the present invention. Any modification to the technical solutions recorded in the aforementioned embodiments, any equivalent replacement of some of the technical features therein, and any modification, equivalent replacement, and improvement made are all within the protection scope of the present invention.
Claims
1. An evaluation method for an AC / DC hybrid distribution network system, characterized by: The evaluation method comprises the following steps: S1: Input data information of the AC network and the DC network in the distribution network system into the simulation system; the simulation system includes an input module, a statistical module, a threshold module, an extraction module, a processing module, a simulation module, a selection module and a timing module, the input module, the statistical module, the threshold module, the simulation module and the extraction module are all electrically connected to the processing module, the threshold module is also electrically connected to the extraction module, and the simulation module and the timing module are both electrically connected to the selection module; S2: Select the area where the power distribution network system needs to be used, and the statistical module automatically collects statistics on the power consumption data of the area; S3: the thresholding module automatically assigns a threshold to the statistical data of the statistical module, and the extraction module extracts certain data within the threshold range to form a data group; S4: the processing module automatically inputs the extracted data group into the simulation module, and the selection module randomly selects a group of data to automatically simulate in the simulation module to evaluate the distribution network system; S5: During the simulation process, the timing module will time the input data group. When the preset time is reached, the selection module automatically selects another group of data from the data group for simulation.
2. The evaluation method of an AC / DC hybrid distribution network system according to claim 1, characterized in that: The data information of the AC network and the DC network in step S1 includes the rated voltage, current and power data of each device in the distribution network system.
3. The evaluation method of an AC / DC hybrid distribution network system according to claim 2, characterized in that: The statistical module is used to collect statistics on the electricity consumption data of the target area and perform probability statistics in a normal distribution manner.
4. The evaluation method of an AC / DC hybrid distribution network system according to claim 3, characterized in that: The power consumption data includes AC and DC conditions, power, current and voltage.
5. The evaluation method of an AC / DC hybrid distribution network system according to claim 3 or 4, characterized in that: The method in which the thresholding module automatically assigns thresholds to the statistical data of the statistical module includes: assigning thresholds according to the probability size.
6. The evaluation method of an AC / DC hybrid distribution network system according to claim 5, characterized in that: The method for evaluating the distribution network system comprises: the simulation module inputs the selected data group into a virtual model of the distribution network system pre-constructed in the simulation module to evaluate the distribution network system.
7. The evaluation method of an AC / DC hybrid distribution network system according to claim 6, characterized in that: Step S5 also includes: the selection module repeatedly selects the data group after the simulation is completed to simulate again.
8. The evaluation method of an AC / DC hybrid distribution network system according to claim 1, characterized in that: The simulation system further includes a display module and a cloud storage module, and both the display module and the cloud storage module are electrically connected to the processing module.