Configuration method and device for multiple flexible interconnection devices and nonvolatile storage medium

Abstract

The invention discloses a configuration method and device for multiple flexible interconnection devices and a nonvolatile storage medium. The method comprises the following steps: determining a to-be-evaluated scheme set of a flexible interconnection device in a power distribution network; calculating a plurality of evaluation indexes of all the to-be-evaluated schemes in the to-be-evaluated scheme set as evaluation results of the to-be-evaluated scheme set; based on the plurality of evaluation indexes, determining a next to-be-evaluated scheme set through a Bayesian algorithm; repeating the above steps until a Bayesian algorithm bracelet, and obtaining a Pareto optimal scheme set; determining a configuration scheme of the flexible interconnection device in the power distribution network based on an evaluation result of the Pareto optimal scheme set; and configuring a plurality of target flexible interconnection devices in the power distribution network based on the configuration scheme. The method solves the technical problem that the existing locating and sizing method for the flexible interconnection device of the power distribution network has limitation when the number is large, and the influence among multiple devices is not considered.

Description

Technical Field

[0001] This invention relates to the field of multi-flexible body system integration technology, and more specifically, to a configuration method, apparatus, and non-volatile storage medium for multi-flexible interconnect devices. Background Technology

[0002] Given the highly dynamic nature of power systems and the increasing demand for flexibility and intelligence, the application of Flexible Interconnection Devices (FIDs) has gradually become a key approach to improving the operational performance of distribution networks in recent years. FIDs can not only independently regulate active and reactive power among different sections of the distribution network, but also possess power flow reversal and dynamic control functions, effectively enhancing the adaptability and security of the power grid.

[0003] While the introduction of FIDs has significantly improved the flexibility and stability of the power grid, determining the scientific and rational installation locations and maximum capacities of multiple devices deployed simultaneously, as well as formulating efficient operation optimization strategies, remains a pressing challenge. Current technologies largely focus on the performance evaluation and location selection of individual FIDs, with relatively limited exploration of multi-FID collaborative optimization. Directly extending the optimal evaluation results of a single FID to multiple devices often leads to a decrease in the accuracy of performance evaluations, failing to fully reflect the actual operating conditions of the power grid under multi-FID coexistence.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This invention provides a configuration method, apparatus, and non-volatile storage medium for multiple flexible interconnection devices, to at least address the limitations of current methods for site selection and capacity determination of flexible interconnection devices in power distribution networks when the number of devices is large, and the failure to consider the influence between multiple devices.

[0006] According to one aspect of the present invention, a method for configuring multiple flexible interconnection devices is provided, comprising: determining a set of schemes to be evaluated for flexible interconnection devices in a power distribution network, wherein the set of schemes to be evaluated includes multiple schemes to be evaluated, and each scheme to be evaluated includes the installation location and capacity of multiple flexible interconnection devices; calculating multiple evaluation indicators for each of the schemes to be evaluated in the set of schemes to be evaluated as the evaluation result of the set of schemes to be evaluated, wherein the multiple evaluation indicators include a maximum load rate indicator, a maximum bus voltage indicator, and a power supply capacity indicator under fault conditions; determining the next set of schemes to be evaluated based on the multiple evaluation indicators using a Bayesian algorithm; repeating the above steps until a Bayesian algorithm chain is formed to obtain a Pareto optimal scheme set; determining a configuration scheme for flexible interconnection devices in the power distribution network based on the evaluation result of the Pareto optimal scheme set, wherein the configuration scheme includes the installation location and capacity of multiple target flexible interconnection devices; and configuring multiple target flexible interconnection devices in the power distribution network based on the configuration scheme.

[0007] Optionally, determining the set of alternative evaluation schemes for flexible interconnection devices in the power distribution network includes: traversing all lines in the power distribution network to determine all locations where flexible interconnection devices are installed; based on all locations and the capacity range of flexible interconnection devices used in the power distribution network, within a preset installation quantity range, obtaining all alternative evaluation schemes through permutation and combination to form a set of alternative evaluation schemes; and randomly selecting a preset number of alternative evaluation schemes from the set of alternative evaluation schemes to obtain the set of alternative evaluation schemes to be evaluated.

[0008] Optionally, multiple evaluation indicators are calculated for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated. This includes: randomly selecting a scheme to be evaluated from the set of schemes to be evaluated as the target scheme to be evaluated; randomly injecting load and energy into the distribution network; optimizing the operation of multiple flexible interconnection devices in the target scheme to be evaluated; obtaining the first transmission power of the multiple flexible interconnection devices in the target scheme to be evaluated; performing power flow calculation based on the first transmission power to obtain the first power flow operation result; and determining the maximum load rate index of the target scheme to be evaluated based on the first power flow operation result. The maximum load rate index includes the maximum load rate of the line, the maximum load rate of the transformer, and the maximum load rate of the flexible interconnection device.

[0009] Optionally, multiple evaluation indicators are calculated for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated. This includes: randomly selecting a scheme to be evaluated from the set of schemes to be evaluated as the target scheme to be evaluated; removing all flexible interconnection devices, loads and energy sources installed in the distribution network; and randomly selecting a line or transformer as the faulty component to obtain a first fault state; performing power flow calculation under the first fault state to obtain a second power flow operation result; and determining the maximum bus voltage index of the target scheme to be evaluated based on the second power flow operation result, wherein the maximum bus voltage index includes the maximum bus voltage deviation amplitude.

[0010] Optionally, multiple evaluation indicators are calculated for each of the evaluation schemes in the set of evaluation schemes to be evaluated, as the evaluation result of the set of evaluation schemes to be evaluated. This includes: randomly selecting an evaluation scheme as the target evaluation scheme in the set of evaluation schemes, clearing all loads and energy in the distribution network, and randomly selecting a line or transformer as the faulty component, adding initial load to obtain a second fault state, wherein the initial load includes the target level load; performing power flow calculation under the second fault state to obtain a third power flow operation result; determining the initial maximum load rate index and the initial bus maximum voltage index based on the third power flow operation result; and gradually increasing the ratio of the target level load in the initial load while the initial maximum load rate index does not exceed a first preset threshold and the initial bus maximum voltage index does not exceed a second preset threshold, repeating the above steps of determining the initial maximum load rate index and the initial bus maximum voltage index until the initial maximum load rate index and the initial bus maximum voltage index reach the first preset condition, obtaining the target ratio of the target level load as the power supply capacity index under fault.

[0011] Optionally, if the initial maximum load rate exceeds the first preset threshold or the initial bus maximum voltage exceeds the second preset threshold, the ratio of the target level load in the initial load is gradually reduced, and the steps of determining the initial maximum load rate and the initial bus maximum voltage are repeated until the initial maximum load rate and the initial bus maximum voltage reach the second preset condition, so as to obtain the target ratio of the target level load as the power supply capacity indicator under fault.

[0012] According to another aspect of the present invention, a configuration device for multiple flexible interconnection devices is also provided, comprising: a first determining module, configured to determine a set of schemes to be evaluated for flexible interconnection devices in a power distribution network, wherein the set of schemes to be evaluated includes multiple schemes to be evaluated, and each scheme to be evaluated includes the installation location and capacity of multiple flexible interconnection devices; a calculation module, configured to calculate multiple evaluation indicators for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated, wherein the multiple evaluation indicators include a maximum load rate indicator, a maximum bus voltage indicator, and a power supply capacity indicator under fault conditions; a second determining module, configured to determine the next set of schemes to be evaluated based on the multiple evaluation indicators using a Bayesian algorithm; a repeating module, configured to repeat the above steps until a Bayesian algorithm chain is formed, resulting in a Pareto optimal scheme set; a third determining module, configured to determine a configuration scheme for flexible interconnection devices in the power distribution network based on the evaluation result of the Pareto optimal scheme set, wherein the configuration scheme includes the installation location and capacity of multiple target flexible interconnection devices; and a configuration module, configured to configure multiple target flexible interconnection devices in the power distribution network based on the configuration scheme.

[0013] According to another aspect of the present invention, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored program, wherein, when the program is running, the device where the non-volatile storage medium is located is controlled to execute any of the above-described configuration methods for flexible interconnect devices.

[0014] According to another aspect of the present invention, a computer device is also provided, the computer device including a processor for running a program, wherein the program executes any of the above-described configuration methods for flexible interconnect devices.

[0015] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements any of the above-described configuration methods for flexible interconnect devices.

[0016] In this embodiment of the invention, a configuration method for multiple flexible interconnection devices is adopted. This involves determining a set of evaluation schemes for flexible interconnection devices in the power distribution network. The set includes multiple evaluation schemes, each including the installation locations and capacities of multiple flexible interconnection devices. Multiple evaluation indicators are calculated for each scheme in the set, serving as the evaluation result for the set. These indicators include maximum load factor, maximum bus voltage, and power supply capacity under fault conditions. Based on these indicators, a Bayesian algorithm is used to determine the next set of evaluation schemes. This process is repeated until a Bayesian algorithm chain is reached, resulting in the final set of evaluation schemes. Pareto optimal solution set; based on the evaluation results of the Pareto optimal solution set, the configuration scheme of flexible interconnection devices in the distribution network is determined. The configuration scheme includes the installation location and capacity of multiple target flexible interconnection devices. Based on the configuration scheme, multiple target flexible interconnection devices are configured in the distribution network, achieving the goal of accurately evaluating the impact of simultaneous installation of multiple flexible interconnection devices on the power grid performance. This realizes the technical effect of optimizing the configuration of flexible interconnection devices, improving the operating efficiency and safety of the distribution network, and thus solves the technical problem that the current site selection and capacity determination methods for flexible interconnection devices in the distribution network have limitations when the number is large, and fail to consider the influence between multiple devices. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0018] Figure 1 A hardware block diagram of a computer terminal for implementing a configuration method for multiple flexible interconnect devices is shown.

[0019] Figure 2 This is a flowchart illustrating a configuration method for multiple flexible interconnection devices provided according to an embodiment of the present invention;

[0020] Figure 3 This is a flowchart of a multi-flexible interconnect device addressing and capacity optimization method provided by an optional embodiment of the present invention;

[0021] Figure 4 This is a structural block diagram of a configuration device for multiple flexible interconnection devices provided according to an embodiment of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] According to an embodiment of the present invention, a configuration method for multiple flexible interconnect devices is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0025] The method embodiment provided in Embodiment 1 of this application can be executed on a mobile terminal, computer terminal, or similar computing device. Figure 1 A hardware block diagram of a computer terminal for implementing a configuration method for multiple flexible interconnected devices is shown. Figure 1 As shown, the computer terminal 10 may include one or more processors (shown as 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0026] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10. As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0027] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the configuration method of the multi-flexible interconnect device in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the above-mentioned configuration method of the multi-flexible interconnect device for the application. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0028] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10.

[0029] Figure 2 This is a flowchart illustrating a configuration method for multiple flexible interconnect devices provided according to an embodiment of the present invention, as shown below. Figure 2 As shown, the method includes the following steps:

[0030] Step S201: Determine the set of schemes to be evaluated for flexible interconnection devices in the power distribution network. The set of schemes to be evaluated includes multiple schemes to be evaluated. Each scheme to be evaluated includes the installation location and capacity of multiple flexible interconnection devices.

[0031] In this step, identifying the set of options to be evaluated for Flexible Interconnect Devices (FIDs) in the distribution network is fundamental to optimizing multi-FID configurations. First, the grid topology can be transformed, with buses corresponding to nodes and lines representing connections between nodes, thus identifying all possible locations for FID installation and forming a location set. Next, the maximum and minimum number of FIDs, along with pre-selected capacity options, are combined to construct a set of options to be evaluated covering all feasible installation combinations. Each option consists of a triplet, indicating the addition of an FID between specific two nodes and its maximum capacity, showcasing a comprehensive perspective on the parallel deployment of multiple FIDs. Subsequently, for efficient evaluation, a certain number of options are randomly selected for performance testing. Through this systematic process, the set of options not only covers the breadth of multi-FID configurations but also ensures the depth and accuracy of the evaluation, laying a solid foundation for achieving optimal FID location and capacity determination, thereby improving the overall efficiency of the distribution network.

[0032] Step S202: Calculate multiple evaluation indicators for each of the schemes to be evaluated in the scheme set to be evaluated, and use them as the evaluation result of the scheme set to be evaluated. Among them, the multiple evaluation indicators include the maximum load rate indicator, the maximum bus voltage indicator, and the power supply capacity under fault conditions indicator.

[0033] In this step, calculating the evaluation index for each scheme within the set of schemes to be evaluated is a crucial step in assessing its impact on distribution network performance. Specifically, after planning the installation location and capacity of the FID (Flexible Interchange Device), each scheme needs to have its maximum load factor calculated through simulation or modeling. This reflects the highest load level of the lines, transformers, and the FID itself, ensuring load balancing and safe operation of the power grid. Next, the maximum bus voltage index is evaluated to monitor voltage stability and prevent voltage fluctuations caused by the FID connection from exceeding allowable limits. Finally, fault scenarios are simulated to determine the power supply capacity index under the N-1 criterion (i.e., if any component fails and exits operation, the remaining components can still ensure stable power supply to the grid), quantifying the scheme's ability to cope with sudden faults and the grid's redundancy. These three evaluation indicators comprehensively assess the feasibility and superiority of the FID configuration scheme, providing a quantitative basis for subsequent multi-objective optimization and ensuring that the selected scheme can effectively improve the performance, stability, and security of the distribution network.

[0034] Step S203: Based on multiple evaluation metrics, determine the next set of schemes to be evaluated using a Bayesian algorithm.

[0035] In this step, using multiple evaluation metrics and a Bayesian algorithm to determine the next set of schemes to be evaluated is a core component for optimizing the configuration of Flexible Interconnect Devices (FIDs) in the distribution network. First, based on the evaluation results of the current scheme set, including but not limited to metrics such as maximum load factor, voltage fluctuation, and fault supply capability, the Bayesian algorithm can learn the correlation between these metrics and the FID installation location and capacity, forming a probabilistic model. Next, the algorithm uses the probabilistic model to predict the performance of unevaluated schemes and, through uncertainty quantification, selects the combination of schemes most likely to bring performance improvements, constituting the next set of schemes to be evaluated. This process iterates repeatedly until the optimal FID configuration is found, ensuring the stable operation and efficient management of the power grid.

[0036] Step S204: Repeat the above steps until the Bayesian algorithm bracelet is obtained, thus obtaining the Pareto optimal solution set.

[0037] In this step, the scheme evaluation and Bayesian algorithm adjustment are repeatedly performed until convergence is reached, thereby obtaining the Pareto optimal scheme set. This is a crucial step in ensuring the optimal configuration of multiple Flexible Interconnected Devices (FIDs) in the distribution network. The process begins with the evaluation of the initial scheme set, collecting multi-dimensional performance data including maximum load rate, voltage stability, and power supply capacity. Then, the Bayesian algorithm is used to analyze the data of the evaluated schemes, and statistical learning is used to predict the potential performance of unevaluated schemes, selecting the most promising schemes to form a new set of schemes to be evaluated. This iterative mechanism continuously refines the schemes until the algorithm determines that adding new schemes will not significantly improve performance, i.e., the convergence condition is met. The scheme set obtained at this point, the Pareto optimal scheme set, contains configuration schemes that cannot be further optimized on multiple key indicators without sacrificing other indicators, representing the optimal balance point of distribution network performance under multiple FID configurations. This method ensures that the final scheme maximizes power supply efficiency while maintaining system stability and security, and is the core strategy for achieving intelligent optimization configuration.

[0038] Step S205: Based on the evaluation results of the Pareto optimal solution set, determine the configuration scheme of flexible interconnection devices in the distribution network, wherein the configuration scheme includes the installation location and capacity of multiple target flexible interconnection devices.

[0039] In this step, based on the comprehensive evaluation results of the Pareto optimal solution set, the specific configuration of Flexible Interconnect Devices (FIDs) in the distribution network can be determined. The Pareto optimal solution set represents the set of solutions in multi-objective optimization where it is impossible to improve one performance indicator without sacrificing others. This means that each solution has found the optimal balance point in key indicators such as maximum load factor, voltage stability, and power supply capacity. Through detailed analysis and comparison of this solution set, FID configurations that both meet the requirements of stable grid operation and demonstrate excellent performance in power distribution and fault response can be identified. The final determined configuration scheme clarifies the precise installation location and maximum capacity of the multi-objective FIDs, ensuring the efficient and reliable operation of the distribution network under complex operating conditions and achieving optimal allocation and utilization of resources.

[0040] Step S206: Based on the configuration scheme, configure multiple target flexible interconnection devices in the power distribution network.

[0041] In this step, based on the previously determined Pareto optimal solution set, the solutions that perform best in multiple key indicators such as maximum load factor, bus voltage stability, and fault supply capability are selected. These solutions specify the precise installation locations and maximum capacities of the FIDs to ensure they work together to improve the overall performance of the power grid. During the implementation phase, the engineering team will install the FIDs at key nodes of the distribution network according to these solutions and perform parameter adjustments to achieve the expected optimization results.

[0042] Through the above steps, the goal of accurately assessing the impact of simultaneous installation of multiple flexible interconnection devices on power grid performance is achieved, thereby realizing the technical effect of optimizing the configuration of flexible interconnection devices, improving the operating efficiency and safety of the distribution network, and solving the technical problem that the current site selection and capacity determination methods for flexible interconnection devices in the distribution network have limitations when the number is large, and fail to consider the influence between multiple devices.

[0043] As an optional embodiment, determining the set of alternative evaluation schemes for flexible interconnection devices in the power distribution network includes: traversing all lines in the power distribution network to determine all locations where flexible interconnection devices are installed; based on all locations and the capacity range of flexible interconnection devices for the power distribution network, within a preset installation quantity range, obtaining all alternative evaluation schemes through permutation and combination to form a set of alternative evaluation schemes; and randomly selecting a preset number of alternative evaluation schemes from the set of alternative evaluation schemes to obtain the set of alternative evaluation schemes to be evaluated.

[0044] Optionally, firstly, all possible installation locations for FIDs can be identified by traversing all lines of the distribution network, forming a basic set of installation locations. Then, combining these locations with the capacity range of the FIDs, and following preset minimum and maximum installation numbers, a set of alternative evaluation schemes covering all possible configurations is generated through mathematical permutations and combinations. Finally, a preset number of schemes are randomly selected from this large set of alternatives to form a set of schemes to be evaluated, laying the foundation for subsequent performance evaluation and optimization.

[0045] For example, the power distribution network Transform the busbar into the diagram For each node, the lines between buses are converted into edges between nodes. All unconnected nodes are traversed, and the edges between them are identified as locations where FIDs can be installed, denoted as set S1. Given the maximum and minimum number of flexible interconnect devices to be installed simultaneously, based on set S1 and the available capacity, all possible installation candidate evaluation schemes are arranged into a set S2, whose elements are triples (i, j, q), representing the installation of flexible interconnect devices from node i to j, with a maximum capacity of q. Finally, given the maximum number of evaluation schemes m, m schemes are randomly selected from S2 to be evaluated, denoted as the set S3 of the evaluation schemes.

[0046] As an optional embodiment, multiple evaluation indicators are calculated for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated. This includes: randomly selecting a scheme to be evaluated as the target scheme to be evaluated from the set of schemes to be evaluated; randomly injecting load and energy into the distribution network; optimizing the operation of multiple flexible interconnection devices in the target scheme to be evaluated; obtaining the first transmission power of the multiple flexible interconnection devices in the target scheme to be evaluated; performing power flow calculation based on the first transmission power to obtain the first power flow operation result; and determining the maximum load rate index of the target scheme to be evaluated based on the first power flow operation result. The maximum load rate index includes the maximum load rate of the line, the maximum load rate of the transformer, and the maximum load rate of the flexible interconnection device.

[0047] Optionally, firstly, a configuration scheme can be randomly selected from the set of schemes to be evaluated. Loads and renewable energy are then randomly injected into a simulated distribution network environment. An optimization algorithm is run to determine the optimal transmission power of the FIDs under the current operating conditions; this is the basis for evaluating their regulation capabilities. Next, based on these optimized transmission powers, power flow calculations are performed to simulate the flow of electricity in the network, yielding power flow operation results. Finally, based on the power flow results, the maximum load factor of each component (lines, transformers, FIDs) is calculated and analyzed, which directly reflects the grid's carrying capacity and operating efficiency.

[0048] For example, select an unevaluated scheme s from the set of schemes S3 to be evaluated. Based on the selected scheme s, randomly sample historical load and renewable energy data, calculate the combined active and reactive power injection into the network under this load and renewable energy, and simultaneously assemble FID to calculate the following minimization problem:

[0049]

[0050] in, The set of all vertices. It is the set that includes all edges added to the flexible interconnect device. For the collection of all flexible interconnected devices, and Apparent power transmitted across all lines. This represents the maximum power transmitted through the line. The output of this minimization problem is the transmission power of FID under the combined load and renewable energy injection. , , Adjust FID to , The power flow calculation is then performed. Finally, based on the actual power flow operation results of the distribution network, the maximum load rate of each component is calculated, including the maximum load rate of lines, the maximum load rate of transformers, and the maximum load rate of FID.

[0051] As an optional embodiment, multiple evaluation indicators are calculated for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated. This includes: randomly selecting a scheme to be evaluated from the set of schemes to be evaluated as the target scheme to be evaluated; removing all installed flexible interconnection devices, loads, and energy sources in the distribution network; and randomly selecting a line or transformer as a faulty component to obtain a first fault state; performing power flow calculation under the first fault state to obtain a second power flow operation result; and determining the maximum bus voltage index of the target scheme to be evaluated based on the second power flow operation result, wherein the maximum bus voltage index includes the maximum bus voltage deviation amplitude.

[0052] Optionally, firstly, all pre-installed FIDs, loads, and energy sources can be removed from the simulated distribution network, artificially assuming a line or transformer is in a fault state to simulate an emergency scenario for the power grid. Next, power flow calculations are performed under this fault condition to obtain the second power flow operation results. This step simulates how power is redistributed under fault conditions. Finally, based on the obtained second power flow operation results, the maximum deviation of the bus voltage, i.e., the maximum bus voltage deviation amplitude, is calculated and recorded to quantify the impact of the fault on the grid voltage stability.

[0053] For example, remove all installed FIDs, loads, and renewable energy sources from the distribution network, randomly select a line or transformer, and designate it as a faulty component. Perform the above optimization and power flow calculations, and based on the power flow calculation results, calculate the maximum bus voltage deviation amplitude, as follows:

[0054]

[0055] in, and The maximum and minimum per-unit voltage values ​​for the static load / new energy scheme are respectively, and the maximum load rate of FID is calculated.

[0056] As an optional embodiment, multiple evaluation indicators are calculated for each of the evaluation schemes in the set of evaluation schemes to be evaluated, which are used as the evaluation results of the set of evaluation schemes. This includes: randomly selecting an evaluation scheme as the target evaluation scheme in the set of evaluation schemes; clearing all loads and energy in the distribution network; randomly selecting a line or transformer as a faulty component; adding an initial load to obtain a second fault state, wherein the initial load includes the target level load; performing power flow calculation under the second fault state to obtain a third power flow operation result; determining the initial maximum load rate index and the initial bus maximum voltage index based on the third power flow operation result; and gradually increasing the ratio of the target level load in the initial load while the initial maximum load rate index does not exceed a first preset threshold and the initial bus maximum voltage index does not exceed a second preset threshold, repeating the above steps of determining the initial maximum load rate index and the initial bus maximum voltage index until the initial maximum load rate index and the initial bus maximum voltage index reach the first preset condition to obtain the target ratio of the target level load, which is used as the power supply capacity index under fault conditions.

[0057] Optionally, firstly, the distribution network environment under fault conditions can be simulated by removing all non-fault-related loads and energy sources, retaining only the initial load of the target level, thus forming a specific fault scenario. Power flow calculations are then performed under this state to obtain the third power flow operation results of the grid response, thereby deriving the maximum load factor and bus voltage deviation amplitude under the initial conditions. Next, while ensuring that these two indicators do not exceed preset safety limits, the proportion of the target level load is progressively increased, and power flow calculations and indicator confirmations are repeatedly performed until the grid performance begins to reach its performance boundaries. The determined maximum load proportion is thus the power supply capacity indicator under fault conditions, which directly reflects the load limit that the grid can bear when facing emergencies, and is crucial for improving the grid's reliability and ability to respond to emergencies.

[0058] For example, remove all installed FIDs, loads, and renewable energy sources from the distribution network, and randomly select a line or transformer and designate it as a faulty component. Only add all Class I loads and FIDs, and calculate four indicators: line load rate, transformer load rate, FID load rate, and voltage deviation amplitude. Simultaneously, set the initial power supply capacity indicator to 1, and d=0.1 as the step size. If the line load rate, transformer load rate, and FID load rate all do not exceed 100%, and the voltage deviation amplitude is less than 0.1, then gradually increase the ratio of Class I important loads according to d, repeating the power flow calculation until the maximum ratio that simultaneously satisfies the above four indicators is found as the N-1 power supply capacity indicator.

[0059] As an optional embodiment, if the initial maximum load rate index exceeds the first preset threshold or the initial bus maximum voltage index exceeds the second preset threshold, the ratio of the target level load in the initial load is gradually reduced, and the above steps of determining the initial maximum load rate index and the initial bus maximum voltage index are repeated until the initial maximum load rate index and the initial bus maximum voltage index reach the second preset condition, so as to obtain the target ratio of the target level load as the power supply capacity index under fault.

[0060] Optionally, under fault conditions, if the initial maximum load factor or bus voltage deviation of the power grid exceeds a set safety threshold, it indicates that the current load level is too severe for the power grid. At this point, the assessment process switches to adjustment mode, gradually reducing the proportion of the target load level to retest the power grid's capacity. This process continues, checking the maximum load factor and bus voltage after each power flow calculation until these two key indicators fall back to the safe range, thus meeting the second preset condition. The final determined load ratio represents the maximum load capacity of the power grid to stably supply power under specific fault conditions; this data is considered an indicator of the power supply capacity under fault conditions.

[0061] For example, in the opposite case, the power flow calculation is repeated by gradually reducing the ratio of Class I critical loads according to d until the minimum ratio that simultaneously satisfies the above four indicators is found as the N-1 power supply capacity indicator.

[0062] As an optional embodiment, Figure 3 This is a flowchart of a method for optimizing the location and capacity of multiple flexible interconnect devices according to an optional embodiment of the present invention. Figure 3As shown, the digital transformation of the distribution network topology is first demonstrated, with all possible FID (Flexible Interconnect Device) installation locations identified and grouped into an evaluation scheme set. Subsequently, a scheme to be evaluated is selected using random sampling. Through simulations of injected loads and renewable energy sources, the operating status of the devices is optimized to ensure their effective regulation of the grid's active and reactive power. Next, the grid performance of the schemes under normal and fault conditions is evaluated using specific indicators such as maximum load rate and voltage deviation magnitude. Schemes that pass the initial screening are further submitted to a Bayesian optimization algorithm to achieve multi-objective trade-offs and fine-tuning. Finally, the flowchart leads to the determination of the Pareto optimal solution, which is a series of flexible interconnect device configuration schemes that achieve the best balance among different performance indicators.

[0063] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0064] Through the above description of the embodiments, those skilled in the art can clearly understand that the configuration method of the flexible interconnection device according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platform. 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, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0065] According to embodiments of the present invention, an apparatus for implementing the above-described configuration method for multiple flexible interconnect devices is also provided. Figure 4 This is a structural block diagram of a configuration device for multiple flexible interconnection devices provided according to an embodiment of the present invention, such as... Figure 4 As shown, the device includes: a first determining module 41, a calculation module 42, a second determining module 43, a repeating module 44, a third determining module 45, and a configuration module 46. The device will be described below.

[0066] The first determining module 41 is used to determine the set of schemes to be evaluated for flexible interconnection devices in the power distribution network. The set of schemes to be evaluated includes multiple schemes to be evaluated, and each scheme to be evaluated includes the installation location and capacity of multiple flexible interconnection devices.

[0067] The calculation module 42, connected to the first determination module 41, is used to calculate multiple evaluation indicators for each of the schemes to be evaluated in the scheme set to be evaluated, as the evaluation result of the scheme set to be evaluated. Among them, the multiple evaluation indicators include the maximum load rate indicator, the maximum bus voltage indicator, and the power supply capacity under fault conditions indicator.

[0068] The second determination module 43, connected to the calculation module 42, is used to determine the next set of schemes to be evaluated based on multiple evaluation indicators and using a Bayesian algorithm.

[0069] The repeating module 44, connected to the second determining module 43, is used to repeat the above steps until the Bayesian algorithm bracelet is obtained, thus obtaining the Pareto optimal solution set.

[0070] The third determining module 45, connected to the repeating module 44, is used to determine the configuration scheme of flexible interconnection devices in the power distribution network based on the evaluation results of the Pareto optimal scheme set. The configuration scheme includes the installation location and capacity of multiple target flexible interconnection devices.

[0071] Configuration module 46, connected to third determination module 45, is used to configure multiple target flexible interconnection devices in the power distribution network based on the configuration scheme.

[0072] It should be noted that the first determining module 41, calculation module 42, second determining module 43, repeating module 44, third determining module 45, and configuration module 46 mentioned above correspond to steps S201 to S206 in the embodiments. Multiple modules implement the same instances and application scenarios as their corresponding steps, but are not limited to the content disclosed in the above embodiments. It should also be noted that the above modules, as part of the device, can run in the computer terminal 10 provided in the embodiments.

[0073] Embodiments of the present invention may provide a computer device. Optionally, in this embodiment, the computer device may be located in at least one of a plurality of network devices in a computer network. The computer device includes a memory and a processor.

[0074] The memory can be used to store software programs and modules, such as the configuration method and corresponding program instructions / modules of the flexible interconnect device in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the configuration method of the flexible interconnect device described above. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0075] The processor can access information and application programs stored in memory via a transmission device to perform the following steps: Determine a set of evaluation schemes for flexible interconnection devices in the distribution network, wherein the set includes multiple evaluation schemes, and each evaluation scheme includes the installation locations and capacities of multiple flexible interconnection devices; calculate multiple evaluation indicators for each of the evaluation schemes in the set, as the evaluation result of the set, wherein the multiple evaluation indicators include the maximum load rate indicator, the maximum bus voltage indicator, and the power supply capacity under fault conditions indicator; based on the multiple evaluation indicators, determine the next set of evaluation schemes using a Bayesian algorithm; repeat the above steps until a Bayesian algorithm chain is formed, obtaining a Pareto optimal scheme set; based on the evaluation result of the Pareto optimal scheme set, determine the configuration scheme for flexible interconnection devices in the distribution network, wherein the configuration scheme includes the installation locations and capacities of multiple target flexible interconnection devices; based on the configuration scheme, configure multiple target flexible interconnection devices in the distribution network.

[0076] Optionally, the processor may also execute program code for the following steps: determining the set of alternative evaluation schemes for flexible interconnection devices in the power distribution network, including: traversing all lines in the power distribution network to determine all locations where flexible interconnection devices are installed; based on all locations and the capacity range of flexible interconnection devices for the power distribution network, within a preset installation quantity range, obtaining all alternative evaluation schemes through permutation and combination to form a set of alternative evaluation schemes; randomly selecting a preset number of alternative evaluation schemes from the set of alternative evaluation schemes to obtain the set of alternative evaluation schemes to be evaluated.

[0077] Optionally, the processor may also execute program code for the following steps: calculating multiple evaluation indicators for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated, including: randomly selecting a scheme to be evaluated as the target scheme to be evaluated in the set of schemes to be evaluated, randomly injecting load and energy into the distribution network, optimizing the operation of multiple flexible interconnection devices in the target scheme to be evaluated, and obtaining the first transmission power of the multiple flexible interconnection devices in the target scheme to be evaluated; performing power flow calculation based on the first transmission power to obtain the first power flow operation result; and determining the maximum load rate index of the target scheme to be evaluated based on the first power flow operation result, wherein the maximum load rate index includes the maximum load rate of the line, the maximum load rate of the transformer, and the maximum load rate of the flexible interconnection device.

[0078] Optionally, the processor may also execute program code for the following steps: calculating multiple evaluation indicators for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated, including: randomly selecting a scheme to be evaluated as the target scheme to be evaluated in the set of schemes to be evaluated, removing all installed flexible interconnection devices, loads and energy sources in the distribution network, and randomly selecting a line or transformer as a faulty component to obtain a first fault state; performing power flow calculation under the first fault state to obtain a second power flow operation result; and determining the maximum bus voltage index of the target scheme to be evaluated based on the second power flow operation result, wherein the maximum bus voltage index includes the maximum bus voltage deviation amplitude.

[0079] Optionally, the processor may also execute program code for the following steps: calculating multiple evaluation indicators for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated, including: randomly selecting a scheme to be evaluated as the target scheme to be evaluated in the set of schemes to be evaluated, clearing all loads and energy in the distribution network, and randomly selecting a line or transformer as a faulty component, adding initial load to obtain a second fault state, wherein the initial load includes target level load; performing power flow calculation in the second fault state to obtain a third power flow operation result; determining the initial maximum load rate indicator and the initial bus maximum voltage indicator based on the third power flow operation result; and gradually increasing the ratio of target level load in the initial load while the initial maximum load rate indicator does not exceed a first preset threshold and the initial bus maximum voltage indicator does not exceed a second preset threshold, repeating the above steps of determining the initial maximum load rate indicator and the initial bus maximum voltage indicator until the initial maximum load rate indicator and the initial bus maximum voltage indicator reach the first preset condition, obtaining the target ratio of the target level load as the power supply capacity indicator under fault.

[0080] Optionally, the processor may also execute program code that performs the following steps: when the initial maximum load rate exceeds the first preset threshold or the initial bus maximum voltage exceeds the second preset threshold, gradually reduce the ratio of the target level load in the initial load, repeat the steps of determining the initial maximum load rate and the initial bus maximum voltage until the initial maximum load rate and the initial bus maximum voltage reach the second preset condition, and obtain the target ratio of the target level load as the power supply capacity indicator under fault conditions.

[0081] The present invention provides a method for configuring multiple flexible interconnect devices. By determining a set of evaluation schemes for flexible interconnection devices in the distribution network, where each scheme includes multiple evaluation locations and capacities of various flexible interconnection devices, and calculating multiple evaluation indicators for each scheme as the evaluation result, including maximum load rate, maximum bus voltage, and fault-tolerant power supply capacity, a Bayesian algorithm is used to determine the next set of evaluation schemes. This process is repeated until a Bayesian algorithm chain is formed, yielding a Pareto optimal scheme set. Based on the evaluation results of the Pareto optimal scheme set, a configuration scheme for the flexible interconnection devices in the distribution network is determined, including the installation locations and capacities of multiple target flexible interconnection devices. Based on this configuration scheme, multiple target flexible interconnection devices are configured in the distribution network, achieving the goal of accurately evaluating the impact of simultaneous installation of multiple flexible interconnection devices on grid performance. This optimizes the configuration of flexible interconnection devices, improves the operational efficiency and safety of the distribution network, and solves the current limitations of location and capacity determination methods for flexible interconnection devices in distribution networks when the number of devices is large, failing to consider the influence between multiple devices.

[0082] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a non-volatile storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0083] Embodiments of the present invention also provide a non-volatile storage medium. Optionally, in this embodiment, the aforementioned non-volatile storage medium can be used to store the program code executed by the configuration method of the flexible interconnect device provided in the above embodiments.

[0084] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0085] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining a set of schemes to be evaluated for flexible interconnection devices in the distribution network, wherein the set of schemes to be evaluated includes multiple schemes to be evaluated, and each scheme to be evaluated includes the installation location and capacity of multiple flexible interconnection devices; calculating multiple evaluation indicators for each of the schemes to be evaluated in the set of schemes to be evaluated as the evaluation result of the set of schemes to be evaluated, wherein the multiple evaluation indicators include the maximum load rate indicator, the maximum bus voltage indicator, and the power supply capacity under fault conditions indicator; determining the next set of schemes to be evaluated based on the multiple evaluation indicators using a Bayesian algorithm; repeating the above steps until a Bayesian algorithm chain is formed to obtain a Pareto optimal scheme set; determining the configuration scheme for flexible interconnection devices in the distribution network based on the evaluation result of the Pareto optimal scheme set, wherein the configuration scheme includes the installation location and capacity of multiple target flexible interconnection devices; and configuring multiple target flexible interconnection devices in the distribution network based on the configuration scheme.

[0086] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: determining a set of alternative evaluation schemes for flexible interconnection devices in a power distribution network, including: traversing all lines in the power distribution network to determine all locations where flexible interconnection devices are installed; based on all locations and the capacity range of flexible interconnection devices for the power distribution network, within a preset installation quantity range, obtaining all candidate evaluation schemes through permutation and combination to form a set of candidate evaluation schemes; randomly selecting a preset number of candidate evaluation schemes from the set of candidate evaluation schemes to obtain the set of alternative evaluation schemes to be evaluated.

[0087] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: calculating multiple evaluation indicators for each of all schemes in the set of schemes to be evaluated as the evaluation result of the set of schemes to be evaluated, including: randomly selecting a scheme to be evaluated as the target scheme to be evaluated in the set of schemes to be evaluated, randomly injecting load and energy into the distribution network, optimizing the operation of multiple flexible interconnection devices in the target scheme to be evaluated, and obtaining the first transmission power of the multiple flexible interconnection devices in the target scheme to be evaluated; performing power flow calculation based on the first transmission power to obtain the first power flow operation result; and determining the maximum load rate index of the target scheme to be evaluated based on the first power flow operation result, wherein the maximum load rate index includes the maximum load rate of the line, the maximum load rate of the transformer, and the maximum load rate of the flexible interconnection device.

[0088] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: calculating multiple evaluation indicators for each of all schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated, including: randomly selecting a scheme to be evaluated as the target scheme to be evaluated in the set of schemes to be evaluated, removing all flexible interconnection devices, loads and energy sources installed in the distribution network, and randomly selecting a line or transformer as a faulty component to obtain a first fault state; performing power flow calculation under the first fault state to obtain a second power flow operation result; and determining the maximum bus voltage index of the target scheme to be evaluated based on the second power flow operation result, wherein the maximum bus voltage index includes the maximum bus voltage deviation amplitude.

[0089] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: calculating multiple evaluation indicators for each of the evaluation schemes in the set of evaluation schemes, as the evaluation result of the set of evaluation schemes, including: randomly selecting an evaluation scheme as the target evaluation scheme in the set of evaluation schemes, clearing all loads and energy in the power distribution network, and randomly selecting a line or transformer as a faulty component, adding an initial load to obtain a second fault state, wherein the initial load includes a target level load; performing power flow calculation in the second fault state to obtain a third power flow operation result; determining the initial maximum load rate indicator and the initial bus maximum voltage indicator based on the third power flow operation result; and gradually increasing the ratio of the target level load in the initial load while the initial maximum load rate indicator does not exceed a first preset threshold and the initial bus maximum voltage indicator does not exceed a second preset threshold, repeating the above steps of determining the initial maximum load rate indicator and the initial bus maximum voltage indicator until the initial maximum load rate indicator and the initial bus maximum voltage indicator reach the first preset condition, obtaining the target ratio of the target level load as the power supply capacity indicator under fault.

[0090] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: when the initial maximum load rate index exceeds a first preset threshold or the initial bus maximum voltage index exceeds a second preset threshold, gradually reduce the ratio of the target level load in the initial load, repeat the above steps of determining the initial maximum load rate index and the initial bus maximum voltage index until the initial maximum load rate index and the initial bus maximum voltage index reach the second preset condition, and obtain the target ratio of the target level load as the power supply capacity index under fault conditions.

[0091] Embodiments of the present invention also provide a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can perform the following: determining a set of schemes to be evaluated for flexible interconnection devices in a power distribution network, wherein the set of schemes to be evaluated includes multiple schemes to be evaluated, and each scheme to be evaluated includes the installation location and capacity of multiple flexible interconnection devices; calculating multiple evaluation indicators for each of the schemes to be evaluated in the set of schemes to be evaluated, as the evaluation result of the set of schemes to be evaluated, wherein the multiple evaluation indicators include the maximum load rate indicator, the maximum bus voltage indicator, and the power supply capacity under fault conditions indicator; determining the next set of schemes to be evaluated based on the multiple evaluation indicators using a Bayesian algorithm; repeating the above steps until the Bayesian algorithm is completed, obtaining a Pareto optimal scheme set; determining a configuration scheme for flexible interconnection devices in the power distribution network based on the evaluation result of the Pareto optimal scheme set, wherein the configuration scheme includes the installation location and capacity of multiple target flexible interconnection devices; and configuring multiple target flexible interconnection devices in the power distribution network based on the configuration scheme.

[0092] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0093] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0094] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0096] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0097] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0098] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method of configuring a multi-flex interconnect device, comprising: The method comprises the following steps: determining a set of to-be-evaluated schemes of flexible interconnection devices in a power distribution network, wherein the set of to-be-evaluated schemes comprises a plurality of to-be-evaluated schemes, and each to-be-evaluated scheme comprises installation positions and capacities of a plurality of flexible interconnection devices; calculating a plurality of evaluation indexes of each to-be-evaluated scheme in the set of to-be-evaluated schemes as evaluation results of the set of to-be-evaluated schemes, wherein the plurality of evaluation indexes comprise a maximum load rate index, a bus maximum voltage index and a power supply capability under fault index; determining a next set of to-be-evaluated schemes based on the plurality of evaluation indexes by using a Bayesian algorithm; repeating the above steps until the Bayesian algorithm is converged to obtain a Pareto optimal scheme set; determining a configuration scheme of the flexible interconnection devices in the power distribution network based on evaluation results of the Pareto optimal scheme set, wherein the configuration scheme comprises installation positions and capacities of a plurality of target flexible interconnection devices; configuring the plurality of target flexible interconnection devices in the power distribution network based on the configuration scheme.

2. The method of claim 1, wherein, The step of determining the set of to-be-evaluated schemes of the flexible interconnection devices in the power distribution network comprises: traversing all lines in the power distribution network to determine all positions where the flexible interconnection devices can be installed; based on the all positions and a capacity range of the flexible interconnection devices used in the power distribution network, obtaining all candidate evaluation schemes by permutation and combination within a preset installation quantity range to form a candidate evaluation scheme set; randomly selecting a preset number of candidate evaluation schemes from the candidate evaluation scheme set to obtain the set of to-be-evaluated schemes.

3. The method of claim 1, wherein, The step of calculating the plurality of evaluation indexes of each to-be-evaluated scheme in the set of to-be-evaluated schemes as the evaluation results of the set of to-be-evaluated schemes comprises: randomly selecting one to-be-evaluated scheme in the set of to-be-evaluated schemes as a target to-be-evaluated scheme, randomly injecting loads and energy sources in the power distribution network, and performing operation optimization of the plurality of flexible interconnection devices in the target to-be-evaluated scheme to obtain first transmission power of the plurality of flexible interconnection devices in the target to-be-evaluated scheme; based on the first transmission power, performing power flow calculation to obtain first power flow operation results; based on the first power flow operation results, determining the maximum load rate index of the target to-be-evaluated scheme, wherein the maximum load rate index comprises line maximum load rate, transformer maximum load rate and flexible interconnection device maximum load rate.

4. The method of claim 1, wherein, The step of calculating the plurality of evaluation indexes of each to-be-evaluated scheme in the set of to-be-evaluated schemes as the evaluation results of the set of to-be-evaluated schemes comprises: randomly selecting one to-be-evaluated scheme in the set of to-be-evaluated schemes as a target to-be-evaluated scheme, removing all installed flexible interconnection devices, loads and energy sources in the power distribution network, and randomly selecting a line or a transformer as a fault component to obtain a first fault state; under the first fault state, performing power flow calculation to obtain second power flow operation results; based on the second power flow operation results, determining the bus maximum voltage index of the target to-be-evaluated scheme, wherein the bus maximum voltage index comprises a bus maximum voltage deviation amplitude.

5. The method of claim 1, wherein, The computing the plurality of evaluation indexes of each of the plurality of to-be-evaluated schemes in the to-be-evaluated scheme set as the evaluation result of the to-be-evaluated scheme set comprises: In the to-be-evaluated scheme set, a to-be-evaluated scheme is randomly selected as a target to-be-evaluated scheme, all loads and energy sources in the power distribution network are cleared, and a line or a transformer is randomly selected as a fault component, and an initial load is added to obtain a second fault state, wherein the initial load comprises a target level load; In the second fault state, power flow calculation is performed to obtain a third power flow operation result; Based on the third power flow operation result, an initial maximum load rate index and an initial bus maximum voltage index are determined; In a case where the initial maximum load rate index does not exceed a first preset threshold and the initial bus maximum voltage index does not exceed a second preset threshold, the ratio of the target level load in the initial load is gradually increased, and the steps of determining the initial maximum load rate index and the initial bus maximum voltage index are repeated until the initial maximum load rate index and the initial bus maximum voltage index reach a first preset condition, so as to obtain a target ratio of the target level load as the power supply capacity under fault index.

6. The method of claim 5, wherein, Further comprising: In a case where the initial maximum load rate index exceeds the first preset threshold or the initial bus maximum voltage index exceeds the second preset threshold, the ratio of the target level load in the initial load is gradually reduced, and the steps of determining the initial maximum load rate index and the initial bus maximum voltage index are repeated until the initial maximum load rate index and the initial bus maximum voltage index reach a second preset condition, so as to obtain a target ratio of the target level load as the power supply capacity under fault index.

7. A configuration device of a multi-flexible interconnection device, characterized by, Comprising: The first determination module is configured to determine a to-be-evaluated scheme set of the flexible interconnection device in the power distribution network, wherein the to-be-evaluated scheme set comprises a plurality of to-be-evaluated schemes, and each to-be-evaluated scheme comprises installation positions and capacities of a plurality of flexible interconnection devices; The computing module is configured to compute a plurality of evaluation indexes of each of the plurality of to-be-evaluated schemes in the to-be-evaluated scheme set as an evaluation result of the to-be-evaluated scheme set, wherein the plurality of evaluation indexes comprise a maximum load rate index, a bus maximum voltage index, and a power supply capacity under fault index; The second determination module is configured to determine a next to-be-evaluated scheme set based on the plurality of evaluation indexes by using a Bayesian algorithm; The repeating module is configured to repeat the above steps until the Bayesian algorithm is terminated, so as to obtain a Pareto optimal scheme set; The third determination module is configured to determine a configuration scheme of the flexible interconnection device in the power distribution network based on the evaluation result of the Pareto optimal scheme set, wherein the configuration scheme comprises installation positions and capacities of a plurality of target flexible interconnection devices; The configuration module is configured to configure the plurality of target flexible interconnection devices in the power distribution network based on the configuration scheme.

8. A non-volatile storage medium, comprising: The non-volatile storage medium comprises a stored program, wherein the program, when executed, controls a device in which the non-volatile storage medium is located to perform the configuration method of the multi-flexible interconnection device according to any one of claims 1 to 6.

9. A computer device, comprising: Comprise: a memory and a processor, the memory stores a computer program; the processor is configured to execute the computer program stored in the memory, and the computer program, when executed, causes the processor to perform the configuration method of the multi-flexible interconnection device according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program, when executed by the processor, implements the configuration method of the multi-flexible interconnection device according to any one of claims 1 to 6.

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