Optimization control method for fault recovery of active power distribution network

Abstract

The invention provides an optimal control method for fault recovery of an active power distribution network, and relates to the technical field of fault recovery, and the method comprises the steps: obtaining a fault isolation region and a to-be-recovered region; generating a global fault recovery scheme; outputting a global recovery transient fluctuation index; judging whether the global recovery transient fluctuation index meets a preset fluctuation index or not, and if not, generating a plurality of partition recovery schemes; generating a partition collaborative recovery time sequence; and performing power supply recovery control. The technical problem that transient fluctuation is easily generated and the power supply quality is influenced due to lack of fluctuation analysis of a recovery scheme in the prior art can be solved, and the power supply quality can be improved by establishing the global fault recovery optimization model, combining the target recovery function, performing the global fault recovery scheme on the to-be-recovered region and analyzing the transient fluctuation. And partition recovery optimization is carried out under the condition of relatively large transient fluctuation, so that the technical effects of realizing rapid and stable fault recovery and improving the power supply quality are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of fault recovery, and in particular to an optimization control method for active distribution network fault recovery. Background Art

[0002] With the rapid development of economy and the continuous growth of population, the demand for electricity is also increasing. As an important part of the power system, the safe and stable operation of the active distribution network is of great significance to ensure the power supply. However, the active distribution network may have faults during operation, such as line short circuit, equipment damage, etc., resulting in power outages. At this time, it is necessary to isolate the fault and restore power supply to other areas.

[0003] However, the existing fault recovery methods lack fluctuation analysis of the recovery scheme during the recovery process, which is prone to transient fluctuations, such as voltage fluctuations, frequency fluctuations, etc., affecting the power supply quality. Summary of the invention

[0004] The purpose of this application is to provide an optimization control method for active distribution network fault recovery, so as to solve the technical problem in the prior art that transient fluctuations are easily generated and the power supply quality is affected due to the lack of fluctuation analysis of the recovery plan.

[0005] In view of the above problems, the present application provides an optimization control method for active distribution network fault recovery, including: connecting to a fault management platform of the active distribution network to obtain a fault isolation area and an area to be recovered; inputting the fault isolation area and the area to be recovered into a global fault recovery optimization model, optimizing a fault recovery plan based on a target recovery function, and generating a global fault recovery plan; for the global fault recovery plan, introducing a virtual synchronous machine to control the inverter, and then performing transient fluctuation index analysis to output a global recovery transient fluctuation index; judging whether the global recovery transient fluctuation index meets a preset fluctuation index, if not, generating a partition recovery instruction, partitioning the global fault recovery plan, and generating multiple partition recovery plans; based on the multiple partition recovery plans, performing collaborative combination, and performing transient fluctuation optimization to generate a partition collaborative recovery sequence; and performing power supply recovery control on the area to be recovered with the partition collaborative recovery sequence.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The fault management platform connected to the active distribution network obtains the fault isolation area and the area to be restored; the fault isolation area and the area to be restored are input into the global fault recovery optimization model, and the fault recovery plan is optimized based on the target recovery function to generate a global fault recovery plan; for the global fault recovery plan, a virtual synchronous machine is introduced to control the inverter, and then the transient fluctuation index is analyzed to output the global recovery transient fluctuation index; it is judged whether the global recovery transient fluctuation index meets the preset fluctuation index, if not, a partition recovery instruction is generated, the global fault recovery plan is partitioned and decomposed to generate multiple partition recovery plans; based on the multiple partition recovery plans, a collaborative combination is performed, and transient fluctuation optimization is performed to generate a partition collaborative recovery sequence; the power supply recovery control of the area to be restored is performed with the partition collaborative recovery sequence. By establishing a global fault recovery optimization model, combining the target recovery function, a global fault recovery plan is performed for the area to be restored, and transient fluctuations are analyzed. When the transient fluctuations are large, partition recovery optimization is performed, so as to achieve fast and stable fault recovery and improve the power supply quality.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0010] Figure 1 A flow chart of an optimization control method for active power distribution network fault recovery in this application;

[0011] Figure 2 A schematic diagram of a flow chart for outputting a global recovery transient fluctuation index in an optimization control method for active distribution network fault recovery in the present application. DETAILED DESCRIPTION

[0012] The present application solves the technical problem in the prior art that transient fluctuations are easily generated and power supply quality is affected due to the lack of fluctuation analysis of the recovery plan by providing an optimization control method for active distribution network fault recovery. By establishing a global fault recovery optimization model, combined with the target recovery function, a global fault recovery plan is implemented for the recovery area, and transient fluctuations are analyzed. When transient fluctuations are large, partition recovery optimization is performed to achieve fast and stable fault recovery and improve power supply quality.

[0013] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0014] Please refer to the attached Figure 1 , the present application provides an optimization control method for active distribution network fault recovery, which specifically includes the following steps:

[0015] Step 1: Connect to the fault management platform of the active distribution network to obtain the fault isolation area and the area to be restored.

[0016] Specifically, an active distribution network refers to a power grid equipped with distributed energy resources (such as solar panels, wind turbines, energy storage systems, etc.) that can actively generate and regulate electrical energy. The fault management platform is an existing system that integrates monitoring, analysis and control functions. The fault management platform connected to the active distribution network first needs to connect the fault management platform to the monitoring and control center of the active distribution network through a communication interface (such as Ethernet, wireless communication, etc.). In this way, the fault management platform can obtain the fault status of the active distribution network in real time and obtain the fault isolation area and the area to be restored. The fault isolation area refers to the area near the fault point that needs to be isolated to prevent the fault from expanding. The area to be restored refers to the area that loses power supply due to a fault and needs to restore power supply after the fault is isolated.

[0017] Step 2: Input the fault isolation area and the area to be restored into a global fault recovery optimization model, optimize the fault recovery plan based on the target recovery function, and generate a global fault recovery plan.

[0018] Specifically, the global fault recovery optimization model is a decision-making model that can comprehensively consider the specific conditions of the fault isolation area and the area to be restored to generate a global fault recovery plan. The fault isolation area refers to the part of the power grid where the fault occurs and is isolated to prevent the fault from spreading. The area to be restored refers to the area that has lost power supply service due to the fault, and the power supply needs to be restored as soon as possible after the fault is isolated. The fault isolation area and the area to be restored are input into the global fault recovery optimization model, and the fault recovery plan is optimized through the objective recovery function to obtain the optimal global fault recovery plan. The global fault recovery plan is a plan for restoring power supply to the area to be restored, including different switch operations, power switching, load transfer and other strategies, which can respond to faults more quickly and effectively, reduce the impact of faults on power grid operation and user power supply, and improve the reliability and stability of the power grid.

[0019] Step 3: According to the global fault recovery scheme, a virtual synchronous machine is introduced to control the inverter, and then a transient fluctuation index analysis is performed to output a global recovery transient fluctuation index.

[0020] Specifically, during the fault recovery process, a virtual synchronous machine is introduced for inverter control, aiming to improve the stability and support capacity of distributed energy resources (such as solar panels, wind turbines, etc.) for the power grid. The virtual synchronous machine mimics the dynamic characteristics of a traditional synchronous generator, allowing the inverter to better operate in sync with the power grid.

[0021] First, based on the global fault recovery scheme, the inverter control strategy is extracted. Based on the principle of virtual synchronous machine, the output voltage and frequency of the inverter are adjusted to enable it to respond quickly to changes in the power grid. After the virtual synchronous machine is introduced for inverter control, it is necessary to analyze the transient fluctuations of the power grid. The transient fluctuation index is an indicator that measures the degree of fluctuation of parameters such as voltage and frequency during the fault recovery process of the power grid, such as voltage fluctuation amplitude and frequency change rate. It is used as a global recovery transient fluctuation index to evaluate the effect of the fault recovery scheme and facilitate fault recovery optimization.

[0022] Step 4: Determine whether the global recovery transient fluctuation index meets the preset fluctuation index. If not, generate a partition recovery instruction, partition the global fault recovery plan, and generate multiple partition recovery plans.

[0023] Specifically, the global recovery transient fluctuation index is a quantitative representation of the recovery effect of the global fault recovery scheme. First, professional and technical personnel in this field need to set the preset fluctuation index under normal circumstances according to the operating standards and requirements of the active distribution network. Compare the actual global recovery transient fluctuation index with the preset fluctuation index. If the global recovery transient fluctuation index is within the preset fluctuation index range, it means that the global fault recovery scheme is effective and the stability and power supply quality of the power grid are guaranteed. If the global recovery transient fluctuation index does not meet the preset fluctuation index, it means that the current global fault recovery scheme may be too complicated or there are some areas where the recovery effect is not good. At this time, it is necessary to generate a partition recovery instruction.

[0024] According to the partition recovery instructions, the global fault recovery plan is partitioned and decomposed, that is, the power grid in the area to be restored is divided into multiple areas, and decomposed according to the global fault recovery plan, and an independent recovery plan is generated for each area. By generating partition recovery instructions and partitioning the global fault recovery plan, the fault recovery process can be controlled more finely, ensuring that the recovery effect of each area can meet the preset fluctuation index, and improving the stability and power supply quality of the active distribution network.

[0025] Step 5: Based on the multiple partition recovery schemes, collaborative combination is performed, and transient fluctuation optimization is performed to generate a partition collaborative recovery time sequence.

[0026] Specifically, during the fault recovery process, the coordinated combination of multiple partition recovery schemes and the optimization of transient fluctuations are key steps to ensure the stability and power supply quality of the active distribution network. The generation of partition coordinated recovery timing involves the optimization and coordination of each partition recovery scheme to achieve the optimal recovery of the entire power grid. First, multiple partition recovery schemes are coordinated and combined, for example, the power supply of the first and second partitions is restored at the first time node, and the power supply of the third and fourth partitions is restored at the second time node. The transient fluctuation optimization is performed on the coordinated recovery schemes, that is, the fluctuation of parameters such as voltage and frequency of the power grid during the recovery process is minimized to generate the partition coordinated recovery timing. The partition coordinated recovery timing specifies the order and time of the recovery operations of each partition to ensure the stability and power supply quality of the entire power grid, minimize the transient fluctuations of the power grid during the recovery process, and improve the reliability and stability of the active distribution network.

[0027] Step six: performing power restoration control on the area to be restored according to the partition coordinated restoration sequence.

[0028] Specifically, the order and time of the recovery operations of each partition in the partition coordinated recovery sequence are used to control the power supply recovery of the area to be restored, that is, the recovery operations of each partition are gradually executed according to the provisions of the sequence. These operations may include switch operations, power switching, load transfer, etc. Ensure the stability and power supply quality of the power grid during the fault recovery process, reduce the impact of the fault on the operation of the power grid and the power supply to users, and improve the reliability and stability of the power grid.

[0029] Further, step 2 of this application includes:

[0030] Construct a recovery constraint module, wherein the recovery constraint module includes a power grid physical constraint unit and a power grid operation constraint unit; connect the recovery constraint module with the global fault recovery optimization model, combine the target recovery function, perform a global fault recovery analysis based on the fault isolation area and the area to be recovered, and generate the global fault recovery plan.

[0031] Furthermore, the present application also includes the following steps:

[0032] The fault isolation area and the area to be recovered are input into the global fault recovery optimization model, and the global fault recovery optimization model calls the global optimization library for traversal matching to generate a first fault recovery solution set; the first fault recovery solution set is constrained and screened by the recovery constraint module to generate a second fault recovery solution set; the target recovery function is established, wherein the target recovery function is constructed based on recovery time, power loss and operation complexity; in combination with the target recovery function, the solutions in the second fault recovery solution set are optimized and evaluated, and the global fault recovery solution is generated by minimizing the function value.

[0033] Furthermore, the present application also includes the following steps:

[0034] Establish multiple fault area samples of the active distribution network, wherein any fault area sample includes a fault isolation area sample and a recovery area sample; configure multiple fault recovery solution sample sets for the multiple fault area samples; and establish a global optimization library with the multiple fault area samples and the multiple fault recovery solution sample sets.

[0035] Specifically, the recovery constraint module includes a power grid physical constraint unit and a power grid operation constraint unit, which respectively consider the restrictions of the physical characteristics and operation rules of the power grid on the fault recovery plan. The power grid physical constraint unit considers the constraints of the physical structure and equipment characteristics of the power grid on the fault recovery plan. For example, the line capacity of the power grid, the load capacity of the transformer, the operating restrictions of the circuit breaker, etc., these constraints ensure that the recovery plan will not cause overload or damage to the power grid equipment. The power grid operation constraint unit considers the constraints of the power grid operation rules and standards on the fault recovery plan. For example, the voltage and frequency range of the power grid, the load balancing requirements, the power grid stability requirements, etc., ensure that the recovery plan can maintain the stable operation of the power grid. Specifically, the constraint rules of the power grid physical constraint unit and the power grid operation constraint unit are established by professional and technical personnel in this field in combination with the actual power grid operation characteristics, and there is no restriction on this.

[0036] The constructed restoration constraint module is connected to the global fault recovery optimization model. The global fault recovery optimization model can automatically consider these constraints when generating a restoration plan. The target recovery function defines how to evaluate the pros and cons of different fault recovery plans. The global fault recovery optimization model is used to analyze the area to be restored and generate an optimal fault recovery plan. This plan can restore power supply to the area to be restored in the shortest time, at the lowest cost, and with the least impact on the stability of the power grid. By constructing a restoration constraint module and combining it with the global fault recovery optimization model, it can be ensured that the generated fault recovery plan not only meets the physical and operational constraints of the power grid, but also can achieve fast and effective fault recovery, thereby improving the reliability and stability of the power grid.

[0037] Among them, the recovery constraint module is connected to the global fault recovery optimization model, combined with the target recovery function, and a global fault recovery analysis is performed based on the fault isolation area and the area to be recovered. The specific steps of generating the global fault recovery plan include: first, the fault isolation area and the area to be recovered are input into the global fault recovery optimization model. The global fault recovery optimization model calls the global optimization library to traverse and match the input data. The global optimization library contains a variety of fault recovery strategies and can generate a first fault recovery plan set, which is a set containing a variety of possible recovery plans. The first fault recovery plan set is constrained and screened by the recovery constraint module. The recovery constraint module includes a power grid physical constraint unit and a power grid operation constraint unit to ensure that the screened plan meets the physical characteristics and operation rules of the power grid.

[0038] The target recovery function is constructed based on key indicators such as recovery time, power loss, and operation complexity. This function defines how to evaluate the pros and cons of different fault recovery schemes and is the basis for optimization evaluation. That is, the recovery time, power loss, and operation complexity of the schemes in the second fault recovery scheme set are evaluated. Specifically, recovery time refers to the time required to restore normal power supply, power loss refers to the power loss that may be caused by each scheme during the recovery process, and operation complexity refers to the difficulty and complexity of the operations required for each scheme, such as the number of required operations, the skill requirements of the operator, etc. The lower the operation complexity, the higher the feasibility and implementation efficiency of the scheme. Taking into account the three indicators of recovery time, power loss, and operation complexity, each scheme is comprehensively evaluated. By setting weights, the pros and cons of each scheme can be quantified.

[0039] It should be noted that the evaluation of recovery time, power loss and operation complexity can be achieved through a machine learning model, that is, professional and technical personnel in this field collect a large number of power supply recovery plan samples and corresponding recovery time samples, power loss samples, and operation complexity samples based on existing technologies, and train and construct an intelligent evaluation model based on existing machine learning models, such as neural network models, to obtain the recovery time, power loss and operation complexity of each plan in the second fault recovery plan set, and perform weighted calculations to obtain the function value corresponding to each plan, and select the plan with the smallest function value as the global fault recovery plan to ensure fast and efficient recovery while minimizing the loss and complexity during the recovery process while ensuring the stability of the power grid.

[0040] Further, the construction step of the global optimization library includes: establishing multiple fault area samples based on the historical fault data and simulated fault scenarios of the active distribution network. Each fault area sample includes a fault isolation area sample and a recovery area sample. The fault isolation area sample refers to the part of the power grid that has a fault and is isolated, and the recovery area sample refers to the area that has lost power supply service due to the fault. Professional and technical personnel in this field configure multiple fault recovery solution samples for each fault area sample to obtain a fault recovery solution sample set. The recovery solution in each fault recovery solution sample set may include different switch operations, power switching, load transfer and other strategies. The established multiple fault area samples and multiple fault recovery solution sample sets are associated, and then integrated together to establish a global optimization library, which provides rich reference information for the global fault recovery optimization model. The global fault recovery optimization model can call the data in the global optimization library, perform traversal matching and optimization evaluation, generate the optimal fault recovery solution, improve the efficiency and accuracy of fault recovery, and reduce the impact of faults on power grid operation and user power supply.

[0041] Further, as attached Figure 2 As shown, step three of this application includes:

[0042] Based on the global fault recovery plan, the first inverter in the power supply recovery circuit is obtained, and based on the capacity and installation position of the first inverter, a first virtual synchronous machine model is established; power supply recovery simulation is performed according to the global fault recovery plan, the first inverter is controlled by the first virtual synchronous machine model to simulate a synchronous generator, and the simulated voltage, simulated frequency and simulated power of the power supply recovery circuit are monitored in real time; according to the simulated voltage, simulated frequency and simulated power, the voltage deviation, frequency deviation, active and reactive power deviation are calculated, and weighted calculation is performed to output the global recovery transient fluctuation index.

[0043] Specifically, according to the global fault recovery scheme, any inverter in the power supply recovery circuit is determined and recorded as the first inverter. Based on the capacity and installation position of the first inverter, a virtual synchronous machine model is established. The virtual synchronous machine model can simulate the dynamic characteristics of the synchronous generator, including the rotor motion equation and the electromagnetic equation. According to the global fault recovery scheme, the power supply recovery simulation is performed. The power supply recovery simulation can be simulated by the existing digital twin technology, that is, based on the global fault recovery scheme and the power grid structure of the area to be restored, a virtual power grid operation environment is established based on the existing digital twin technology to simulate the power supply recovery. In this simulation process, the first virtual synchronous machine model controls the first inverter to simulate the synchronous generator, that is, the first inverter can simulate the response characteristics of the synchronous generator and respond quickly to external load changes and power grid disturbances. In the power supply recovery simulation process, the simulated voltage, simulated frequency and simulated power of the power supply recovery circuit are monitored in real time. According to the simulated voltage, simulated frequency and simulated power monitored in real time, the maximum deviation between the simulated voltages, the maximum deviation between the simulated frequencies, and the maximum deviation between the active power and the maximum deviation between the reactive power in the simulated power are calculated to obtain the voltage deviation, frequency deviation, active and reactive power deviation. These deviations reflect fluctuations in the power restoration process.

[0044] Finally, based on the calculated deviation, the voltage deviation, frequency deviation, active and reactive power deviation are weighted and calculated. The weights of the weighted calculation can be set by professionals in this field, and the global recovery transient fluctuation index is output. The evaluation of the grid stability and power supply quality during the power supply restoration process is realized, which is convenient for optimizing the fault recovery plan and improving the reliability and stability of the grid.

[0045] Further, step five of this application includes:

[0046] The multiple partition recovery schemes are synergistically combined to generate multiple first partition coordination schemes; wherein the multiple first partition coordination schemes include a partition recovery sequence, and any sequence node in the partition recovery sequence may include multiple partitions; based on the multiple first partition coordination schemes, a phased power supply recovery simulation is performed to generate multiple stage transient fluctuation index sets; the multiple stage transient fluctuation index sets are compared with the preset fluctuation index, scheme screening is performed, and the partition coordination recovery timing is generated.

[0047] Furthermore, the present application also includes the following steps:

[0048] Compare the multiple stage transient fluctuation index sets with the preset fluctuation index, locate multiple second partition coordination schemes in which all indicators in the stage transient fluctuation index set are greater than the preset fluctuation index; perform collaborative fitness analysis on the multiple second partition coordination schemes, generate a scheme with the maximum partition fitness, and establish the partition coordination recovery sequence.

[0049] Furthermore, the present application also includes the following steps:

[0050] The operation complexity and the time consumed by the multiple second partition collaboration schemes are extracted; the operation complexity and the time consumed by the schemes are weightedly calculated, and the collaborative fitness is calculated completely.

[0051] Specifically, based on the collaborative combination of the multiple partition recovery schemes and the transient fluctuation optimization, the step of generating the partition collaborative recovery timing includes: randomly combining the multiple partition recovery schemes, wherein the random combination process has a sequence, such as taking the combination of two partitions as the first sequence node and the combination of three partitions as the second sequence node, and performing power supply recovery control of the partitions in the order of the sequence nodes, thereby generating multiple first partition collaborative schemes. The multiple first partition collaborative schemes include a partition recovery sequence, and any sequence node in the partition recovery sequence may include multiple partitions, that is, power supply recovery of the partitions is performed separately at different time nodes.

[0052] Based on the generated first partition coordination plan, a phased power supply restoration simulation is performed, that is, multiple first partition coordination plans include a partition restoration sequence, that is, power supply restoration is performed on multiple partitions under a sequential node each time, and this is taken as a recovery stage. According to the partition restoration sequence, multiple stages of partition power supply restoration simulation are performed. Similarly, the partition power supply restoration simulation is also simulated through the existing digital twin technology, that is, based on the power grid structure of the area to be restored and based on the existing digital twin technology, a virtual power grid operating environment is established for power supply restoration simulation. In this simulation process, a set of transient fluctuation indicators for multiple stages can be generated. The calculation of transient fluctuation indicators is the same as the aforementioned method for calculating global recovery transient fluctuation indicators, which will not be repeated here.

[0053] Compare the transient fluctuation index sets of multiple stages generated by simulation with the preset fluctuation indexes, and select the optimal solution that meets the preset fluctuation index based on the comparison results, so as to achieve fast and efficient recovery while ensuring the stability of the power grid. Generate the partition collaborative recovery sequence based on the selected solution. The partition collaborative recovery sequence includes the recovery operation sequence and time of each partition to ensure the stability and power supply quality of the entire power grid. This ensures that the recovery operations of each partition can be coordinated, minimizes the transient fluctuations of the power grid during the recovery process, and improves the reliability and stability of the active distribution network.

[0054] Furthermore, the step of comparing the multiple stage transient fluctuation index sets with the preset fluctuation index and performing scheme screening includes: comparing the multiple stage transient fluctuation index sets with the preset fluctuation index, locating multiple second partition coordination schemes whose all indicators are greater than the preset fluctuation index, and ensuring that the recovery scheme does not exceed the safe operation range of the power grid in actual operation.

[0055] The coordinated fitness analysis of the multiple located second partition coordination schemes is carried out, and the specific steps are as follows: in the fault recovery process of the active distribution network, the operation complexity and scheme time consumption of the multiple second partition coordination schemes are extracted. It should be noted that the evaluation of the operation complexity and scheme time consumption can be achieved through a machine learning model, that is, professional and technical personnel in this field collect a large number of partition coordination scheme samples and corresponding operation complexity samples and scheme time consumption samples based on the existing technology, and train and construct an evaluation model based on the existing machine learning model, such as a neural network model, to analyze multiple second partition coordination schemes, obtain the operation complexity and scheme time consumption, and perform weighted calculation to obtain the coordinated fitness of each second partition coordination scheme, which reflects the comprehensive performance of the scheme in terms of operation complexity and scheme time consumption.

[0056] According to the collaborative fitness, the scheme with the largest fitness is selected as the optimal partition collaborative recovery scheme. According to the selected optimal partition collaborative recovery scheme, a detailed partition collaborative recovery timing is established to generate the partition collaborative recovery timing, ensuring that the recovery scheme not only meets the safe operation requirements of the power grid, but also can achieve fast and effective fault recovery, thereby improving the reliability and stability of the power grid.

[0057] In summary, the optimization control method for active distribution network fault recovery provided by the present application has the following technical effects:

[0058] The fault management platform connected to the active distribution network obtains the fault isolation area and the area to be restored; the fault isolation area and the area to be restored are input into the global fault recovery optimization model, and the fault recovery plan is optimized based on the target recovery function to generate a global fault recovery plan; for the global fault recovery plan, a virtual synchronous machine is introduced to control the inverter, and then the transient fluctuation index is analyzed to output the global recovery transient fluctuation index; it is judged whether the global recovery transient fluctuation index meets the preset fluctuation index, if not, a partition recovery instruction is generated, the global fault recovery plan is partitioned and decomposed to generate multiple partition recovery plans; based on the multiple partition recovery plans, a collaborative combination is performed, and transient fluctuation optimization is performed to generate a partition collaborative recovery sequence; the power supply recovery control of the area to be restored is performed with the partition collaborative recovery sequence. By establishing a global fault recovery optimization model, combining the target recovery function, a global fault recovery plan is performed for the area to be restored, and transient fluctuations are analyzed. When the transient fluctuations are large, partition recovery optimization is performed, so as to achieve fast and stable fault recovery and improve the power supply quality.

[0059] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0060] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. An optimization control method for active distribution network fault recovery, characterized in that: include: The fault management platform connected to the active distribution network obtains the fault isolation area and the area to be restored; Inputting the fault isolation area and the area to be restored into a global fault recovery optimization model, optimizing a fault recovery plan based on a target recovery function, and generating a global fault recovery plan; According to the global fault recovery scheme, a virtual synchronous machine is introduced to control the inverter, and then a transient fluctuation index analysis is performed to output a global recovery transient fluctuation index; Determine whether the global recovery transient fluctuation index meets the preset fluctuation index, and if not, generate a partition recovery instruction, partition the global fault recovery plan, and generate multiple partition recovery plans; Based on the multiple partition recovery schemes, collaborative combination is performed, and transient fluctuation optimization is performed to generate a partition collaborative recovery time sequence; The power supply restoration control is performed on the area to be restored according to the partition coordinated restoration sequence.

2. The optimization control method for active power distribution network fault recovery according to claim 1, characterized in that: Inputting the fault isolation area and the area to be restored into a global fault recovery optimization model, optimizing a fault recovery plan based on a target recovery function, and generating a global fault recovery plan, including: Constructing a restoration constraint module, wherein the restoration constraint module includes a power grid physical constraint unit and a power grid operation constraint unit; The recovery constraint module is connected to the global fault recovery optimization model, combined with the target recovery function, a global fault recovery analysis is performed based on the fault isolation area and the area to be recovered, and the global fault recovery solution is generated.

3. The optimization control method for active power distribution network fault recovery according to claim 2, characterized in that: Connecting the recovery constraint module with the global fault recovery optimization model, combining the target recovery function, performing a global fault recovery analysis based on the fault isolation area and the area to be recovered, and generating the global fault recovery solution, including: The fault isolation area and the area to be recovered are input into the global fault recovery optimization model, and the global fault recovery optimization model calls a global optimization library to perform traversal matching to generate a first fault recovery solution set; Performing constraint screening on the first set of fault recovery solutions by the recovery constraint module to generate a second set of fault recovery solutions; Establishing the target recovery function, wherein the target recovery function is constructed based on recovery time, power loss and operation complexity; In combination with the target recovery function, the solutions in the second fault recovery solution set are optimized and evaluated, and the global fault recovery solution is generated by minimizing the function value.

4. The optimization control method for active power distribution network fault recovery according to claim 3, characterized in that: The steps of constructing the global optimization library include: Establishing a plurality of fault area samples of the active power distribution network, wherein any fault area sample includes a fault isolation area sample and a restoration area sample; configuring a plurality of fault recovery solution sample sets for the plurality of fault area samples; A global optimization library is established with the multiple fault area samples and the multiple fault recovery solution sample sets.

5. The optimization control method for active power distribution network fault recovery according to claim 1, characterized in that: According to the global fault recovery scheme, a virtual synchronous machine is introduced to control the inverter, and then a transient fluctuation index analysis is performed to output a global recovery transient fluctuation index, including: Based on the global fault recovery solution, a first inverter in the power supply recovery circuit is acquired, and based on the capacity and installation location of the first inverter, a first virtual synchronous machine model is established; Performing a power supply recovery simulation according to the global fault recovery scheme, controlling the first inverter to simulate a synchronous generator through the first virtual synchronous machine model, and monitoring the simulated voltage, simulated frequency, and simulated power of the power supply recovery circuit in real time; According to the simulated voltage, simulated frequency and simulated power, the voltage deviation, frequency deviation, active power deviation and reactive power deviation are calculated, and weighted calculation is performed to output the global recovery transient fluctuation index.

6. The optimization control method for active power distribution network fault recovery according to claim 5, characterized in that: Based on the multiple partition recovery schemes, a collaborative combination is performed, and transient fluctuation optimization is performed to generate a partition collaborative recovery time sequence, including: Synergistically combining the multiple partition recovery schemes to generate multiple first partition collaborative schemes; The plurality of first partition coordination schemes include a partition recovery sequence, and any sequential node in the partition recovery sequence may include a plurality of partitions; Performing a phased power supply restoration simulation based on the multiple first partition coordination schemes to generate multiple phase transient fluctuation index sets; The plurality of stage transient fluctuation index sets are compared with the preset fluctuation index, solutions are screened, and the partition collaborative recovery timing is generated.

7. The optimization control method for active power distribution network fault recovery according to claim 6, characterized in that: Comparing the plurality of stage transient fluctuation index sets with the preset fluctuation index to screen solutions includes: Comparing the plurality of stage transient fluctuation index sets with the preset fluctuation index, and locating a plurality of second partition coordination schemes in which all indexes in the stage transient fluctuation index set are greater than the preset fluctuation index; The collaborative fitness analysis is performed on the multiple second partition collaborative schemes, a scheme with the maximum partition fitness is generated, and the partition collaborative recovery sequence is established.

8. The optimization control method for active power distribution network fault recovery according to claim 7, characterized in that: Performing collaborative fitness analysis on the plurality of second partition collaborative schemes includes: Extracting the operation complexity and solution time consumption of the plurality of second partition coordination solutions; The operation complexity and solution time are weightedly calculated to complete the collaborative fitness calculation.

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