Local network reconstruction optimization method, system and device based on transfer ratio and medium

Abstract

The invention discloses a local network reconstruction optimization method, system and device based on a transfer ratio, and a medium. The method comprises the following steps: obtaining a power grid operation mode; establishing a power grid frame model and determining operation state measurement; defining the current operation state of the power grid as a ground state mode, and determining a heavy load and an out-of-limit section by simulating the operation condition after large generation of new energy; analyzing the sensitivity of the section and new energy power generation, and screening out the section and the area which need to be subjected to local network reconstruction; a plurality of local reconstruction schemes are obtained by calculating a transfer ratio; and determining a final local reconstruction scheme through short circuit checking and static safety checking. According to the method, the section heavy overload condition caused by new energy power generation is reduced, and the scheduling plan arrangement can be effectively guided.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a local network reconstruction optimization method, system, device and medium based on transfer ratio. Background Art

[0002] With the rapid development of renewable energy and the increasing demand for electricity for production and daily life, the operation and management of power grids are becoming increasingly complex. The base grid architecture, often calculated and analyzed to ensure safe operation, often provides a reliable basis for grid security. However, with the rapid development of renewable energy, the flow of electricity is becoming increasingly divergent, and the grid's operational mode may no longer meet safety requirements under the conditions of renewable energy development. Therefore, it is necessary to analyze the transfer ratio under different renewable energy conditions and calculate the transfer relationship of cross-limit sections. This allows for the development of tailored local network reconstruction plans tailored to different renewable energy development scenarios, which has become a key issue for power management departments.

[0003] Currently, local network reconstruction is rarely performed, and load transfer is only reviewed after the grid exceeds its limits. In extreme scenarios or emergency power outages, it's impossible to quickly identify the impact of renewable energy on the sections and quantitatively analyze the impact, making it difficult for system personnel to quickly implement system changes or prepare emergency plans in the event of a major renewable energy outage.

[0004] Therefore, how to calculate the relationship between renewable energy generation and over-limit based on transfer ratio analysis and achieve a high degree of control over the future operating conditions of the power grid has become a key issue that needs to be solved urgently. Summary of the Invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a local network reconstruction optimization method, system, device and medium based on transfer ratio to solve the problem that existing optimization methods cannot respond quickly in extreme or emergency situations.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a local network reconstruction optimization method based on transfer ratio, comprising:

[0009] Obtain the grid operation mode;

[0010] Based on the grid operation mode, establish the grid model and determine the operation status measurement;

[0011] Based on the grid model and operating status measurement, the current operating state of the grid is defined as the base state. By simulating the operation after the emergence of new energy, the overload and over-limit sections are determined.

[0012] Based on overloaded and over-limit sections, sensitivity analysis of sections and renewable energy generation is conducted to identify sections and areas requiring local network reconstruction.

[0013] Based on the sections and areas that need local network reconstruction, multiple local reconstruction schemes are obtained by calculating the transfer ratio;

[0014] Based on multiple local reconstruction schemes, the final local reconstruction scheme is determined through short-circuit verification and static safety verification.

[0015] As a preferred solution of the local network reconstruction optimization method based on transfer ratio described in the present invention, wherein: the establishment of the power grid model and determination of the operation status measurement based on the power grid operation mode include:

[0016] Parse the grid mode file, obtain the model and measurement in the grid, and perform topological analysis on the grid model and measurement;

[0017] Perform topological analysis of the connection relationship based on the devices connected to the busbar in the power grid mode file;

[0018] Directly connect all switches that are in the closed state and disconnect all switches that are in the open state.

[0019] As a preferred solution of the transfer ratio-based local network reconstruction optimization method described in the present invention, the current operating state of the power grid is defined as the base state, and the operating conditions after the large-scale development of new energy are simulated and the power flow calculation is performed to determine the overload and over-limit sections, including:

[0020] Find all equivalent power sources associated with new energy sources in the base state file;

[0021] Set the generated power of all new energy equivalent power sources to their respective rated power;

[0022] Use power system analysis software to perform power flow calculation on the modified base state file to obtain the power flow calculation results;

[0023] If the power flow calculation results are unreasonable, the output of conventional power generation equipment is manually adjusted;

[0024] According to the final power flow calculation results, the overload and over-limit sections under the new energy transmission mode are calculated.

[0025] The beneficial effect of this preferred technical solution is that by simulating the scenario of large-scale new energy development and adjusting the power generation output, it can accurately identify overloaded and over-limit sections in the power grid, providing key analysis basis for subsequent local network reconstruction and safe and stable operation.

[0026] As a preferred solution of the local network reconstruction optimization method based on transfer ratio described in the present invention, the sensitivity analysis of the section and the new energy power generation includes:

[0027] Conduct sensitivity analysis on the cross section and new energy power generation to form a sensitivity matrix of the cross section and power generation;

[0028] Based on the sensitivity matrix, sensitivity analysis is performed to obtain sensitivity results;

[0029] Based on the sensitivity results, a threshold is set to determine whether to perform local network reconstruction;

[0030] If the sensitivity of the cross section is lower than the set threshold, no local network reconstruction is performed;

[0031] If the sensitivity of the section exceeds the set threshold, local network reconstruction is performed.

[0032] The beneficial effect of this preferred technical solution is that by establishing a quantitative response relationship between the section and renewable energy power generation, combined with threshold judgment, it can achieve accurate identification of the necessity of local network reconstruction, thereby improving the safety of power grid operation and optimization efficiency.

[0033] As a preferred solution of the local network reconstruction optimization method based on transfer ratio described in the present invention, wherein: the multiple local reconstruction solutions obtained include:

[0034] Divide network reconstruction into multiple zones according to supply zones;

[0035] Divide the scope of network reconstruction according to the supply area;

[0036] For network reconstruction in each supply area, all switches at the same voltage level as the cross-limit section are set to the "closed" state;

[0037] The over-limit section is disconnected, and the flow transfer ratio of the flow after the over-limit section is disconnected to other sections is calculated;

[0038] The tidal transfer ratio is divided into two groups according to the original combined position and the original quantile position.

[0039] Sort the transfer ratios of the original positions from largest to smallest, and perform one action from separation to combination at a time;

[0040] The transfer ratios of the original combined positions are sorted from small to large, and the combination to separation action is performed one at a time to obtain multiple local reconstruction schemes.

[0041] As a preferred solution of the transfer ratio-based local network reconstruction optimization method of the present invention, the short-circuit verification and static safety verification include:

[0042] Write the switching action status of the local network reconstruction back to the base state and new energy mode files, and perform short circuit verification and static safety verification;

[0043] If any switch exceeds its interruption capacity during the short-circuit check, the entire current local network reconstruction plan will be invalidated.

[0044] If the static safety check shows that there are new overload and limit violations, a manual decision can be made whether to invalidate the current local network reconstruction plan.

[0045] As a preferred solution of the local network reconstruction optimization method based on transfer ratio described in the present invention, wherein: the current local network reconstruction plan is completely invalidated, including:

[0046] If the current local network reconstruction plan is invalidated by the short-circuit verification, find the original closed switch with the smallest transfer ratio, change the state from "closed" to "open", and re-reconstruct and re-verify the local network;

[0047] If the short-circuit check passes but the static safety check still shows new overload and over-limit problems, find the original open position switch with the largest transfer, change the state from "open" to "closed", and re-reconstruct and re-check the local network;

[0048] If both the short-circuit check and the static safety check pass, the current group switch action is used as the final local reconstruction plan.

[0049] In a second aspect, the present invention provides a local network reconstruction optimization system based on transfer ratio, comprising:

[0050] An acquisition module is used to obtain the operation mode of the power grid;

[0051] The power grid modeling and state measurement module is used to establish a power grid model and determine the operation state measurement based on the power grid operation mode;

[0052] The over-limit identification module is used to define the current operating state of the power grid as the base state based on the grid model and operating state measurement. By simulating the operation after the large-scale development of new energy, it can determine the overload and over-limit sections.

[0053] The section sensitivity analysis module is used to perform sensitivity analysis of sections and renewable energy generation based on overloaded and over-limit sections, and to screen out sections and areas that require local network reconstruction;

[0054] A local reconstruction scheme generation module is used to obtain multiple local reconstruction schemes by calculating the transfer ratio based on the sections and areas that need local network reconstruction;

[0055] The reconstruction scheme decision module is used to determine the final local reconstruction scheme based on multiple local reconstruction schemes through short-circuit verification and static safety verification.

[0056] In a third aspect, the present invention provides an electronic device, comprising:

[0057] Memory, used to store programs;

[0058] The processor is configured to execute the computer executable instructions, which, when executed by the processor, implement the steps of the local network reconstruction optimization method based on the transfer ratio.

[0059] In a fourth aspect, the present invention provides a computer-readable storage medium, comprising: when the program is executed by a processor, the steps of implementing the local network reconstruction optimization method based on transfer ratio are implemented.

[0060] The beneficial effects of the present invention are as follows: the present invention simulates the scenario of large-scale development of new energy based on the model, sets the generated power of all new energy equivalent power sources to the rated power, performs power flow calculation, and identifies overloaded and over-limit sections under the situation of large-scale development of new energy); forms a sensitivity matrix of sections and active power generation through sensitivity analysis, and judges whether local network reconstruction is needed according to the set threshold, and accurately identifies the key areas that need to be optimized; based on transfer ratio calculation and multiple rounds of verification, determines the optimal local network reconstruction plan, ensures the safe and stable operation of the power grid and effectively solves the overload and over-limit problems; improves the ability of the power grid to cope with the access of a high proportion of new energy, and enhances the reliability and safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0062] Figure 1 A schematic diagram of the basic flow of a local network reconstruction optimization method based on transfer ratio provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0063] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0064] Example 1, with reference to Figure 1 , as an embodiment of the present invention, provides a local network reconstruction optimization method based on transfer ratio, comprising:

[0065] S100: Obtaining the grid operation mode;

[0066] S200: Based on the grid operation mode, establish a grid model and determine the operation status measurement;

[0067] S300: Based on the grid model and operating status measurements, the current operating state of the grid is defined as the base state. By simulating the operation after the emergence of renewable energy, the overload and over-limit sections are determined.

[0068] S400: Based on overloaded and over-limit sections, perform sensitivity analysis of sections and renewable energy generation to identify sections and areas requiring local network reconstruction.

[0069] S500: Based on the sections and areas requiring local network reconstruction, multiple local reconstruction schemes are obtained by calculating transfer ratios;

[0070] S600: Based on multiple local reconstruction schemes, a final local reconstruction scheme is determined through short-circuit verification and static safety verification.

[0071] It should be noted that with the rapid development of renewable energy and the high proportion of grid integration, power grid operation and management face a series of severe challenges, including more complex power flow distribution, intensified voltage stability issues, and an increase in the potential for overloaded or over-limit sections. These changes make it difficult for traditional operation methods to meet the growing demands for safety and reliability. Therefore, it is crucial to explore local network reconfiguration optimization methods that can respond quickly to extreme or emergency situations.

[0072] Therefore, in order to address the problem that existing optimization methods are unable to respond quickly in extreme or emergency situations, through steps S100-S600, the power flow transfer relationship under the condition of large-scale renewable energy generation is effectively analyzed based on the transfer ratio, thereby achieving precise control of the power flow of the power grid. First, the present invention can calculate the power flow in the case of large-scale renewable energy generation and provide overloaded and over-limit sections; then, based on the sensitivity analysis of these sections based on renewable energy generation, it is determined that the overload or over-limit of these sections is caused by renewable energy generation; finally, based on the transfer ratio, the local network reconstruction of these over-limit sections with a large relationship is performed, and the switch action combination that eliminates these over-limit sections is provided, thereby reducing the heavy overload of the sections caused by renewable energy generation, which can effectively guide the scheduling plan.

[0073] Embodiment 2, which is an embodiment of the present invention, provides a local network reconstruction optimization method based on a transfer ratio based on the previous embodiment, including:

[0074] In an embodiment of the present application, obtaining the grid operation mode in step S100 includes obtaining a grid mode file containing the grid structure (such as busbars, lines, transformers and other components) and real-time operating status (such as switch status, load, generator output, etc.), and parsing these files to extract the grid model and measurement information.

[0075] It should be noted that in actual operation, the load and unit output of the power grid must be basically balanced to achieve normal operation of the power grid. The status of many components and the size of the load and unit output constitute the power grid operation mode file.

[0076] In an embodiment of the present application, in step S200, a power grid model is established and operating status measurements are determined based on the power grid operating mode, including parsing the power grid mode file, obtaining the model and measurements in the power grid, and performing a topological analysis on the power grid model and measurements; a topological analysis of the connection relationship is performed based on the devices connected to the bus in the power grid mode file, all switches in the closed state are directly connected, and all switches in the open state are disconnected, so as to realize the conversion from the bus switch model to the node branch model, so as to facilitate the flow calculation and static safety analysis.

[0077] In the embodiment of the present application, in step S300, the static maximum output simulation includes taking the rated power of the new energy equivalent power sources in the base state file as the active power generation, and performing a flow calculation to determine the rationality of the flow. For unreasonable flows, manual conventional power generation corrections are performed to make the operating mode more in line with the actual production scenario, and the overload and over-limit sections under the new energy high-generation mode are calculated.

[0078] In an optional embodiment, the random simulation based on probability distribution in step S300 establishes a probability model for each new energy equivalent power source, uses the Monte Carlo method to extract multiple samples to perform multiple power flow calculations, and performs statistical analysis on the results to identify overloaded and out-of-limit sections.

[0079] In an optional embodiment, in step S300, based on dynamic simulation and real-time correction, overload and over-limit sections are quickly identified and resolved through real-time monitoring of grid status, continuous power flow calculation, and automatic optimization of switch operations.

[0080] It should be noted that the present invention uses a static maximum output simulation method to perform power flow calculations by setting the generated power of the new energy equivalent power source to the rated power. It can quickly identify overloaded and over-limit sections of the power grid under conditions of extremely high proportions of new energy access, and ensure the practical feasibility of the operation mode by manually adjusting the output of conventional power generation equipment. Compared with random simulation based on probability distribution, the static maximum output simulation method is more direct and efficient, avoiding the complex multiple random sampling and statistical analysis processes, and is suitable for preliminary evaluation and rapid decision-making. Compared with dynamic simulation and real-time correction, the static method does not need to rely on real-time data and complex dynamic simulation platforms, which reduces the difficulty of implementation and technical requirements, and is particularly suitable for use in the planning stage or scenarios where real-time monitoring conditions are not available. Therefore, the static maximum output simulation method has obvious advantages in simplicity and efficiency, and can quickly provide key power grid optimization suggestions.

[0081] In an embodiment of the present application, the sensitivity analysis of the section and the new energy power generation in step S400 includes not performing local network reconstruction for sections with low sensitivity, and performing local network reconstruction for sections with sensitivity exceeding a certain threshold value; performing sensitivity analysis on the section and the new energy power generation to form a sensitivity matrix of the section and the active power generation, analyzing each overloaded or over-limit section to analyze whether its overload or over-limit is related to the new energy power generation, and if so, analyzing these sections as objects of local network reconstruction.

[0082] In an embodiment of the present application, the local network reconstruction decision method based on sensitivity analysis in step S400 identifies and screens out overloaded or over-limit sections that are significantly affected by renewable energy generation by calculating the sensitivity matrix between the sections and renewable energy generation.

[0083] In an optional embodiment, the intelligent sensitivity analysis based on machine learning in step S400 collects and preprocesses historical operating data, uses a machine learning model to establish a relationship between the section load rate and the output of renewable energy power generation, and automatically identifies overloaded or over-limit sections that are significantly affected by renewable energy power generation.

[0084] In an optional embodiment, the comprehensive evaluation method based on multi-objective optimization in step S400 defines multiple optimization objectives, constructs a mathematical model for sensitivity analysis and optimization calculation, and identifies overloaded or over-limit sections that require local network reconstruction.

[0085] It should be noted that the present invention uses a local network reconstruction decision-making method based on sensitivity analysis. By calculating the sensitivity matrix between the section and the new energy power generation, it accurately identifies the overloaded or over-limit sections that are significantly affected by the new energy power generation, and designs the local network reconstruction plan in a targeted manner. Compared with the intelligent sensitivity analysis based on machine learning, this method does not require a large amount of historical data and a complex model training process. It is more direct to implement and has higher computational efficiency, and is suitable for rapid evaluation and preliminary optimization. Compared with the comprehensive evaluation method based on multi-objective optimization, it avoids complex mathematical modeling and high computational costs, and can provide intuitive and easy-to-understand results more quickly. It is particularly suitable for scenarios with limited resources or that require rapid response. Therefore, the method based on sensitivity analysis has obvious advantages in simplicity, computational efficiency and real-time performance, and can efficiently solve local bottleneck problems in power grids.

[0086] In an embodiment of the present application, multiple local reconstruction schemes are obtained in step S500, including dividing the network reconstruction into multiple partitions according to the supply area, and dividing the scope of the network reconstruction according to the supply area. For the network reconstruction of each supply area, all switches of the same voltage level as the off-limit section are first closed, and then the off-limit section is disconnected, and the flow transfer ratio of the flow after the disconnection to other sections is calculated, and the flow transfer ratio is divided into two groups according to the original closed position and the original divided position for sorting, and the transfer ratio of the original divided position is sorted from large to small, one at a time from disconnection to closing, and the transfer ratio of the original closed position is sorted from small to large, one at a time from closing to opening, and according to the verification results, multiple local reconstruction schemes are obtained.

[0087] In the embodiment of the present application, the short-circuit check and static safety check in step S600 include writing the switch action status of the local network reconstruction back to the two files of the base state and the new energy generation mode, and performing short-circuit check and static safety check. For the short-circuit check, any situation exceeding the interruption capacity is not allowed to occur. If it occurs, the local network reconstruction plan will be invalidated as a whole; if the manual analysis of the static safety check result is more serious than not performing the local network reconstruction, it can be manually decided whether to invalidate the local network reconstruction plan. If a local network reconstruction plan is invalidated by the short-circuit check, the original closed position switch with the smallest transfer ratio is used to separate and reconstruct the local network and check; if the short-circuit check passes, but the static safety check manually believes that the overload or over-limit has not been eliminated, the original open position switch with a larger transfer ratio is used to close and reconstruct the local network and check. Until there is a plan that passes the short-circuit and static safety analysis manual verification, then the switch action of this group is the local network reconstruction plan of a certain supply area. This plan can be implemented immediately or as a contingency plan to be implemented after the new energy generation.

[0088] Example 3, referring to Tables 1-7, is an embodiment of the present invention. This embodiment provides a deep brain stimulation surgery and treatment auxiliary method and system based on digital twin technology. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through specific implementation methods and implementation effects.

[0089] The specific details of this embodiment are as follows:

[0090] Step 1: Obtain the grid operation mode, and use the grid frame in the grid operation mode as a model. The specific implementation method of measuring the operation state includes:

[0091] 1) The operation mode of the power grid can be obtained from the SCADA system. The SCADA system is an important tool for monitoring and controlling the power system. The data file is exported in a special format (*.xml format for model files and *.dt format for measurement files) from the SCADA system and parsed in the specified format to complete the acquisition of the model and measurement files. The acquired model includes bus, component and other data. The acquired measurement data includes switch status, load, unit output and other data. The switch status is processed, all switches in the closed state are directly connected, and all switches in the open state are disconnected. In this way, the conversion from the bus switch model to the node branch model is realized, and a *.dat file is generated. The file format is consistent with the BPA file format for power flow calculation and short-circuit calculation.

[0092] Step 2: Define the current operating state of the power grid as the base state, simulate the new energy generation in the base state, and give the operating mode after the new energy generation. The specific implementation methods for calculating the overload and over-limit sections of the new energy generation mode include:

[0093] 1) Retrieve the buses connected to the renewable energy sources from the *.dat file. The equivalent active power generated by these buses is calculated by summing the rated capacities of all renewable energy sources and multiplying by a simultaneity factor. The simultaneity factor can also be set to 1, which represents the maximum active power generated by the equivalent bus. The reactive power value is calculated from the active power value using a certain power factor.

[0094] 2) Perform power flow calculation on the *.dat file. If the power flow calculation result is inconsistent with the ideal state, adjust the power generation of the conventional units to make the power flow calculation result consistent with the ideal state;

[0095] 3) Screening of heavy overload sections:

[0096] Load rate of heavily overloaded section in power flow calculation: equipment active power / equipment long-term current-carrying capacity.

[0097] Transfer ratio: (active power flow after equipment failure - active power flow before equipment failure) / base state active power flow of equipment with anticipated failure.

[0098] Static safety analysis of the heavy overload section load rate: ((transfer ratio * expected fault equipment active power) + equipment active power) / equipment short-term current carrying capacity.

[0099] The final heavy overload section load rate is the maximum of the two load rates of the power flow and static safety analysis, as shown in Table 1:

[0100] Table 1 Section load conditions

[0101]

[0102] Step 3: Perform sensitivity analysis on these sections and renewable energy generation. For sections with low sensitivity, no local network reconstruction is performed. For sections with sensitivity exceeding a certain threshold, local network reconstruction is performed. The specific implementation methods include:

[0103] 1) Conduct sensitivity analysis on the cross section and renewable energy power generation, as shown in Table 2, to form a sensitivity matrix of the cross section and power generation;

[0104] Table 2 Sensitivity analysis table

[0105]

[0106] 2) Calculation condition settings

[0107] Set the sensitivity threshold to 0.1.

[0108] 3) Perform sensitivity analysis

[0109] In this embodiment, when the NK wind farm is generating high power, the sensitivity of the Guiyj-Guisp section is close to 0, far below the sensitivity threshold. Therefore, the over-limit and high-energy generation of the Guiyj-Guisp section do not significantly impact the Guiyj-Guisp section. The sensitivity of the Guick-Guispy section to the NK wind farm is 0.1424, and to the CA photovoltaic station is 0.149, both exceeding the sensitivity threshold. Therefore, the high power generation of the NK wind farm and the CA photovoltaic station has a serious impact on the Guick-Guispy section, causing it to exceed the limit. Next, we will focus on the Guick-Guispy section.

[0110] Step 4: Perform local network reconstruction in each area. For each local network reconstruction, the transfer ratio between the local network's over-limit section and the remaining sections is calculated. Switches are opened and closed based on the transfer ratio and the verification results of step 5. Specific implementation methods for obtaining multiple local reconstruction schemes include:

[0111] 1) Close all switches of the same voltage level as the over-limit section

[0112] The switches in the local area of ​​the "Gui ck ~ Gui py" section are closed, namely ① cp2 line (ck-py) switch; ② cy line (ck-yl) switch; ③ np line (nk-py) switch.

[0113] 2) Calculate the transfer ratio of the "Gui ck ~ Gui py" section to other sections, as shown in Table 3.

[0114] Table 3 Transfer ratio of key sections to other sections

[0115]

[0116] 3) Select the switch with the largest transfer ratio among the original switches and close it to complete a round of network reconstruction:

[0117] Since the np line has the largest cross-section transfer ratio, the np line (nk-py) switch is closed, and the cp2 line (ck-py) switch and the swallow line (ck-yl) switch are separated again, completing a round of local network reconstruction.

[0118] Step 5: Perform short-circuit verification and static safety verification on the operating mode after the action in both base state and new energy mode;

[0119] 1) After the switch is closed, the base state and new energy mode short circuit verification are carried out. The short circuit of the NP line (nk-py) after the switch is closed is shown in Table 4.

[0120] Table 4 Short-circuit current results

[0121]

[0122] It can be seen that the short-circuit current in the base-state mode and the new energy generation mode is the same, primarily due to the same startup and operation methods. The interrupting capacity of the NP line switch is 40kA, and the short-circuit current does not exceed the limit after the NP line (NK-PY) switch is closed.

[0123] 2) Static safety verification of base mode and new energy mode

[0124] The NP line (nk-py) switch was closed in the base state mode for static safety verification, and no cross-limit sections were found. The NP line (nk-py) switch was closed in the new energy mode for static safety verification, and the results are shown in Table 5.

[0125] Table 5 New energy vehicle static safety verification results

[0126] Anticipated equipment failure Affected devices Load factor Transfer ratio np line cp line 108.8％ 0.47

[0127] After manual review, this solution is not the best choice because the CP line exceeds the limit, so local network reconstruction continues.

[0128] Step 6: If the local network reconstruction plan is rejected, then superimpose or remove the original switch combination and then perform the local network reconstruction and reconstruction result verification steps until a plan passes the short circuit and static safety verification. In this case, the switch action of this group is the local network reconstruction plan for a certain over-limit section.

[0129] 1) If a local network reconstruction scheme is rejected by the short-circuit verification, the original closed position switch with the smallest transfer ratio is used to separate the local network and reconstruct and verify it;

[0130] In this example, the short-circuit current does not exceed the interrupting capacity, so there is no need to close the switch.

[0131] 2) If the short-circuit check passes, but the static safety check manually determines that the overload or limit has not been eliminated, the original split switch with a larger transfer is closed to perform local network reconstruction and verification;

[0132] In this example, the static safety analysis exceeded the limit, so the second CP line with the second largest transfer ratio was closed, and then short-circuit verification and static safety analysis were performed. The results met the requirements.

[0133] The np line (nk-py) and the cp second line (ck-py) are short-circuited after the switch is closed, as shown in Table 6.

[0134] Table 6 Short-circuit current results

[0135]

[0136] The NP line (nk-py) and the CP second line (ck-py) were switched on in a new energy vehicle mode for static safety verification. The original section did not exceed the limit. The results are shown in Table 7.

[0137] Table 7 New Energy Vehicle Static Safety Verification Results

[0138] Anticipated equipment failure Affected devices Load factor Transfer ratio np line cp line 73.6％ 0.63

[0139] Therefore, the result of this local network reconstruction is to close the np line and the cp line.

[0140] Embodiment 4 is an embodiment of the present invention. This embodiment is different from the first embodiment in that it provides a local network reconstruction optimization system based on transfer ratio.

[0141] It should be noted that the technical solution of the local network reconstruction optimization system based on the transfer ratio and the technical solution of the local network reconstruction optimization method based on the transfer ratio mentioned above belong to the same concept. For the details not described in detail in the technical solution of the local network reconstruction optimization system based on the transfer ratio in this embodiment, please refer to the description of the technical solution of the local network reconstruction optimization method based on the transfer ratio mentioned above.

[0142] In this embodiment, a local network reconstruction optimization system based on a transfer ratio includes:

[0143] An acquisition module is used to obtain the operation mode of the power grid;

[0144] The power grid modeling and state measurement module is used to establish a power grid model and determine the operation state measurement based on the power grid operation mode;

[0145] The over-limit identification module is used to define the current operating state of the power grid as the base state based on the grid model and operating state measurement. By simulating the operation after the large-scale development of new energy, it can determine the overload and over-limit sections.

[0146] The section sensitivity analysis module is used to perform sensitivity analysis of sections and renewable energy generation based on overloaded and over-limit sections, and to screen out sections and areas that require local network reconstruction;

[0147] A local reconstruction scheme generation module is used to obtain multiple local reconstruction schemes by calculating the transfer ratio based on the sections and areas that need local network reconstruction;

[0148] The reconstruction scheme decision module is used to determine the final local reconstruction scheme based on multiple local reconstruction schemes through short-circuit verification and static safety verification.

[0149] This embodiment further provides an electronic device applicable to a local network reconstruction optimization method based on a transfer ratio, including:

[0150] Memory and processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement a local network reconstruction optimization method based on transfer ratio as proposed in the above embodiment.

[0151] This embodiment further provides a storage medium storing a computer program. When the program is executed by a processor, the method for optimizing local network reconstruction based on transfer ratio as proposed in the above embodiment is implemented.

[0152] The storage medium proposed in this embodiment and the method for implementing a local network reconstruction optimization method based on a transfer ratio proposed in the above embodiment belong to the same inventive concept. For technical details not fully described in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0153] Through the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented with the help of software and necessary general-purpose hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a computer's floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0154] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A local network reconstruction optimization method based on transfer ratio, characterized in that: include: Obtain the grid operation mode; Based on the grid operation mode, establish the grid model and determine the operation status measurement; Based on the grid model and operating status measurement, the current operating state of the grid is defined as the base state. By simulating the operation after the emergence of new energy, the overload and over-limit sections are determined. Based on overloaded and over-limit sections, sensitivity analysis of sections and renewable energy generation is conducted to identify sections and areas requiring local network reconstruction. Based on the sections and areas that need local network reconstruction, multiple local reconstruction schemes are obtained by calculating the transfer ratio; Based on multiple local reconstruction schemes, the final local reconstruction scheme is determined through short-circuit verification and static safety verification.

2. The local network reconstruction optimization method based on transfer ratio according to claim 1, characterized in that: The establishment of a power grid model and determination of operating status measurements based on the power grid operation mode include: Parse the grid mode file, obtain the model and measurement in the grid, and perform topological analysis on the grid model and measurement; Perform topological analysis of the connection relationship based on the devices connected to the busbar in the power grid mode file; Directly connect all switches that are in the closed state and disconnect all switches that are in the open state.

3. The local network reconstruction optimization method based on transfer ratio according to claim 1 or 2, characterized in that: The current operating state of the power grid is defined as the base state. By simulating the operating conditions after the development of renewable energy and performing power flow calculations, the overload and over-limit sections are determined, including: Find all equivalent power sources associated with new energy sources in the base state file; Set the generated power of all new energy equivalent power sources to their respective rated power; Use power system analysis software to perform power flow calculation on the modified base state file to obtain the power flow calculation results; If the power flow calculation results are unreasonable, the output of conventional power generation equipment is manually adjusted; According to the final power flow calculation results, the overload and over-limit sections under the new energy transmission mode are calculated.

4. The local network reconstruction optimization method based on transfer ratio according to claim 3, characterized in that: The sensitivity analysis of the cross section and new energy power generation includes: Conduct sensitivity analysis on the cross section and new energy power generation to form a sensitivity matrix of the cross section and power generation; Based on the sensitivity matrix, sensitivity analysis is performed to obtain sensitivity results; Based on the sensitivity results, a threshold is set to determine whether to perform local network reconstruction; If the sensitivity of the cross section is lower than the set threshold, no local network reconstruction is performed; If the sensitivity of the section exceeds the set threshold, local network reconstruction is performed.

5. The local network reconstruction optimization method based on transfer ratio according to claim 4, characterized in that: The above-mentioned multiple local reconstruction schemes include: Divide network reconstruction into multiple zones according to supply zones; Divide the scope of network reconstruction according to the supply area; For network reconstruction in each supply area, all switches at the same voltage level as the cross-limit section are set to the "closed" state; The over-limit section is disconnected, and the flow transfer ratio of the flow after the over-limit section is disconnected to other sections is calculated; The tidal transfer ratio is divided into two groups according to the original combined position and the original quantile position. Sort the transfer ratios of the original positions from largest to smallest, and perform one action from separation to combination at a time; The transfer ratios of the original combined positions are sorted from small to large, and the combination to separation action is performed one at a time to obtain multiple local reconstruction schemes.

6. The local network reconstruction optimization method based on transfer ratio according to claim 5, characterized in that: The short-circuit verification and static safety verification include: Write the switching action status of the local network reconstruction back to the base state and new energy mode files, and perform short circuit verification and static safety verification; If any switch exceeds its interruption capacity during the short-circuit check, the entire current local network reconstruction plan will be invalidated. If the static safety check shows that there are new overload and limit violations, a manual decision can be made whether to invalidate the current local network reconstruction plan.

7. The local network reconstruction optimization method based on transfer ratio according to claim 6, characterized in that: The current local network reconstruction plan is completely invalidated, including: If the current local network reconstruction plan is invalidated by the short-circuit verification, find the original closed switch with the smallest transfer ratio, change the state from "closed" to "open", and re-reconstruct and re-verify the local network; If the short-circuit check passes but the static safety check still shows new overload and over-limit issues, find the original open-position switch with the largest transfer, change the state from "open" to "closed", and re-reconstruct and re-check the local network. If both the short-circuit check and the static safety check pass, the current group switch action is used as the final local reconstruction plan.

8. A local network reconstruction optimization system based on transfer ratio, applying the method according to any one of claims 1 to 7, characterized in that: include: An acquisition module is used to obtain the operation mode of the power grid; The power grid modeling and state measurement module is used to establish a power grid model and determine the operation state measurement based on the power grid operation mode; The over-limit identification module is used to define the current operating state of the power grid as the base state based on the grid model and operating state measurement. By simulating the operation after the large-scale development of renewable energy, it can determine the overload and over-limit sections. The section sensitivity analysis module is used to perform sensitivity analysis of sections and renewable energy generation based on overloaded and over-limit sections, and to screen out sections and areas that require local network reconstruction; A local reconstruction scheme generation module is used to obtain multiple local reconstruction schemes by calculating the transfer ratio based on the sections and areas that need local network reconstruction; The reconstruction scheme decision module is used to determine the final local reconstruction scheme based on multiple local reconstruction schemes through short-circuit verification and static safety verification.

9. An electronic device, characterized in that: include: Memory, used to store programs; A processor, configured to load the program to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a program, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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