Load dynamic balance state detection method for power distribution network with superconducting current limiter

Abstract

This invention relates to the field of load balance detection technology for distribution networks, specifically to a method for detecting the dynamic load balance status of distribution networks containing superconducting current limiters. The invention obtains the local rationality of each node based on the relative magnitude of the current dispatch error between the current time and the previous time, and the resistance value of each superconducting current limiter at the current time. Based on the correlation between all superconducting current limiters in the distribution network and the degree of resistance value change and actual current value change of each node in adjacent time periods within the analysis period, the local rationality of the corresponding superconducting current limiter for each node at the current time is adjusted to obtain the rational configuration degree. Based on the current dispatch error and rational configuration degree of all nodes in the distribution network at the current time, the dynamic load balance status of the distribution network at the current time is detected. This invention considers the working principle of resistive superconducting current limiters, enabling more accurate detection of the dynamic load balance status of the distribution network.

Description

Technical Field

[0001] This invention relates to the field of load balance detection technology for distribution networks, and specifically to a method for detecting the dynamic load balance status of distribution networks containing superconducting current limiters. Background Technology

[0002] Dynamic load balancing in a distribution network refers to the real-time balance between electricity demand and supply capacity at each node during network operation. By monitoring dynamic load changes and the network system's response, dynamic load balancing can promptly identify potential overload risks, power instability, or fault areas, thereby preventing system anomalies. This process provides crucial data support for distribution network reliability assessment, enabling the system to maintain efficient and stable operation even under various load variations. Through real-time detection and analysis, the distribution network can optimize power dispatching, avoid overloads and power outages, and ultimately ensure the safety and reliability of the entire distribution system.

[0003] Existing methods utilize time series analysis techniques such as autoregressive integral moving average models to capture patterns in load changes based on historical load data and predict electricity demand at different time points in various regions or load points. Subsequently, the predicted load demand is compared with the actual power supply to monitor the load status of the distribution network in real time. If the difference between the actual load and the predicted load is too large, it may indicate that the distribution network system has failed to maintain a dynamic load balance, potentially leading to overload or power instability, thereby reducing the reliability of the distribution network.

[0004] Resistive superconducting current limiters protect distribution networks by limiting instantaneous overload currents. However, their introduction may interfere with existing load dispatching strategies. In actual distribution network operation, however, resistive superconducting current limiters are commonly used. These limiters automatically activate during overload or short-circuit faults, providing impedance through their rapid transition between superconducting and normal states. This can alter the current distribution at some load points, thus affecting load forecasting and dispatching strategies. To ensure stable system operation, more dispatching methods are needed to adjust the power supply at each load point in real time, increasing dispatching complexity. With increased dispatching complexity, certain parts of the distribution network may become more vulnerable, especially to sudden load fluctuations or equipment failures, weakening the system's adaptability and impacting its reliability and security. Current technology does not consider the interference of superconducting current limiter operation on dynamic load balance detection, leading to deviations in the detection results and reducing the accuracy of distribution network reliability assessments. Summary of the Invention

[0005] To address the technical problem that the introduction of resistive superconductors into distribution networks may interfere with existing load dispatching strategies, leading to low reliability in the dynamic load balance assessment of distribution network systems, this invention aims to provide a method for detecting the dynamic load balance in distribution networks containing superconducting current limiters. The specific technical solution adopted is as follows:

[0006] This invention proposes a method for detecting the dynamic load balance state of distribution networks containing superconducting current limiters, the method comprising:

[0007] The actual current and resistance values ​​of each node in the distribution network and the superconducting current limiter are obtained at each moment during the analysis period; the last moment of the analysis period is the current moment.

[0008] Based on the relative magnitude of the current scheduling error of each node at the current moment and the previous moment, and the resistance value of each superconducting current limiter at the current moment, the local rationality of each superconducting current limiter for each node at the current moment is obtained.

[0009] Based on the correlation between the resistance value change and the actual current value change of each node in the distribution network and each superconducting current limiter at adjacent times during the analysis period, the local rationality of the corresponding superconducting current limiter for each node at the current time is adjusted to obtain the rational configuration degree of the superconducting current limiter for each node in the distribution network at the current time.

[0010] Based on the current dispatch error of all nodes in the distribution network at the current moment and the reasonable configuration degree, the dynamic load balance status of the distribution network at the current moment is detected.

[0011] Furthermore, obtaining the local rationality of each superconducting current limiter for each node at the current moment includes:

[0012] The difference between the current dispatch error of a node in the distribution network at the current moment and that at the previous moment is taken as the dispatch error increment of the node at the current moment; based on the resistance value of each superconducting current limiter at the current moment and the dispatch error increment of the node at the current moment, the local rationality of each superconducting current limiter for each node at the current moment is obtained.

[0013] Furthermore, obtaining the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment includes:

[0014] Based on the correlation between the resistance value change and the actual current value change of each superconducting current limiter and each node in the distribution network at adjacent times within the analysis period, the influence of each superconducting current limiter on each node at the current time is obtained.

[0015] Based on the aforementioned impact level, adjust the local rationality of all superconducting current limiters in the distribution network for each node at the current moment, and obtain the rational configuration degree of superconducting current limiters in the distribution network for each node at the current moment.

[0016] Furthermore, obtaining the degree of influence of each superconducting current limiter on each node at the current moment includes:

[0017] For each two adjacent moments within the analysis period, calculate the difference between the resistance values ​​of each superconducting current limiter at the next moment and the previous moment, and the ratio of the resistance value at the previous moment to the sum of the preset first value. Also calculate the difference between the actual current values ​​of each node at the previous moment and the next moment, and the ratio of the actual current value at the previous moment to the sum of the preset second value. Use the absolute value of the difference between the two ratios as the local correlation of each superconducting current limiter with respect to each node at the previous moment.

[0018] By performing a negative correlation mapping on the sum of the local correlations of each superconducting current limiter for each node at all times except the current time during the analysis period, the influence of each superconducting current limiter on each node at the current time is obtained.

[0019] Furthermore, obtaining the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment includes:

[0020] Based on the influence of all superconducting current limiters in the distribution network on each node at the current moment, the influence of each superconducting current limiter on each node at the current moment is normalized to obtain the influence weight; according to the influence weight, the local rationality of all superconducting current limiters in the distribution network on each node at the current moment is weighted and summed to obtain the rational configuration degree of superconducting current limiters in the distribution network on each node at the current moment.

[0021] Furthermore, the method for obtaining the current dispatch error includes:

[0022] Obtain the ideal current value of each node in the distribution network; record the absolute value of the difference between the actual current value and the ideal current value of each node at each time as the current dispatch error of each node at each time.

[0023] Furthermore, the detection of the dynamic load balance status of the distribution network at the current moment includes:

[0024] Based on the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment and the ideal current value of each node, the adjustment weight of each node at the current moment is obtained.

[0025] Based on the current dispatch error of all nodes in the distribution network at the current moment and the adjustment weight, the overall load balance of the distribution network at the current moment is obtained; it is determined whether the overall load balance is greater than the preset balance threshold. If so, the distribution network is in a dynamic load balance state at the current moment; otherwise, the distribution network is in a dynamic load balance state at the current moment.

[0026] Furthermore, obtaining the overall load balance of the distribution network at the current moment includes:

[0027] A negative correlation mapping is performed on the current scheduling error of each node at the current moment, and the product of the mapping result and the adjustment weight of the corresponding node at the current moment is used as the local load balance of each node at the current moment.

[0028] The sum of the local load balance of all nodes in the distribution network at the current moment is normalized to obtain the overall load balance of the distribution network at the current moment.

[0029] Furthermore, both the resistance value and the increase in the scheduling error are negatively correlated with the local rationality.

[0030] Furthermore, the reasonable configuration degree and the ideal current value are both positively correlated with the adjustment weight.

[0031] Furthermore, the preset balance threshold is 0.8.

[0032] Furthermore, both the preset first value and the preset second value are positive numbers.

[0033] The present invention has the following beneficial effects:

[0034] In this embodiment of the invention, if the resistance of the superconducting current limiter in operation is large and the current dispatching error of each node exceeds that of the previous moment, it will interfere with the dispatching complexity of the distribution network system. This situation contradicts the reasonable configuration of the superconducting current limiter. By comprehensively considering the resistance value of each superconducting current limiter at the current moment and the relative magnitude of the current dispatching error of each node at the current moment compared to the previous moment, the reasonable configuration effect of the superconducting current limiter on node dispatching at the current moment can be analyzed to obtain the local rationality. Multiple superconducting current limiters in the distribution network do not affect every node. Only when the resistance of the superconducting current limiter increases, causing the node current to decrease, will there be mutual influence between the superconducting current limiter and the node. This can be determined by the degree of change in resistance value and actual current value of each superconducting current limiter and each node at adjacent moments within the analysis period. The correlation between them is analyzed to determine the impact of each superconducting current limiter on each node. Considering the interaction between different superconducting current limiters in the distribution network, the degree of impact is used to adjust the local rationality, thereby accurately reflecting the overall rational configuration effect of the superconducting current limiters on each node at the current moment, and obtaining the rational configuration degree. The rational configuration of superconducting current limiters will interfere with the complexity of dynamic balance scheduling of the distribution network system. Current scheduling error measures the local load imbalance state of the node at each moment. The rational configuration degree is introduced to dynamically correct the local load imbalance state to ensure that the node demand is met and reduce the interference of superconducting current limiter configuration on system scheduling. The dynamic load balance state of the distribution network system under the rational configuration of superconducting current limiters is analyzed, thereby conducting a reliability assessment of the dynamic load balance state of the distribution network at the current moment.

[0035] Compared to existing technologies that directly assess the reliability of distribution networks through load dynamic balance detection while ignoring the potential interference of resistive superconducting current limiters with existing load dispatching strategies, resulting in lower reliability of load dynamic balance assessment, this solution considers the working principle of resistive superconducting current limiters, reduces the interference of superconducting current limiters on existing load dispatching strategies, and determines the reliability of the distribution network by the reasonableness of the configuration of resistive superconducting current limiters under load balance, thereby ensuring the stable operation of the distribution network system. Attached Figure Description

[0036] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1A flowchart illustrating the steps of a method for detecting the dynamic load balance state of a distribution network with superconducting current limiters, provided in an embodiment of the present invention.

[0038] Figure 2 A flowchart illustrating a method for obtaining a reasonable configuration degree according to an embodiment of the present invention;

[0039] Figure 3 A flowchart illustrating a method for detecting dynamic load balance in one embodiment of the present invention;

[0040] Figure 4 This is a schematic diagram of a computer device for detecting the dynamic load balance of a distribution network containing a superconducting current limiter, provided as an embodiment of the present invention. Detailed Implementation

[0041] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a load dynamic balance state detection method for distribution networks with superconducting current limiters proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0043] The following description, in conjunction with the accompanying drawings, details a specific scheme for a load dynamic balance state detection method for distribution networks containing superconducting current limiters provided by the present invention.

[0044] Example 1:

[0045] This invention proposes a method for detecting the dynamic load balance in distribution networks containing superconducting current limiters. Please refer to [link to relevant documentation]. Figure 1 The diagram illustrates a flowchart of a method for detecting the dynamic load balance state of a distribution network with superconducting current limiters, provided by an embodiment of the present invention. The method includes:

[0046] Step S1: Obtain the actual current and resistance values ​​of each node in the distribution network and the superconducting current limiter at each moment during the analysis period; the last moment during the analysis period is the current moment.

[0047] High-precision current transformers are installed at each node of the distribution network to collect the actual current value of each node at each moment during the analysis period. Simultaneously, high-precision current transformers and voltage sensors are installed at the location of each resistive superconducting current limiter introduced into the distribution network to collect the current and voltage values ​​of each superconducting current limiter at each moment during the analysis period. The ratio of the voltage value to the current value of a single superconducting current limiter at the same moment is recorded as the resistance value of that superconducting current limiter at each moment. Here, the nodes of the distribution network refer to the key points in the power distribution process where different voltage levels are converted or power equipment is connected, which can be substation nodes, distribution transformer nodes, end-user nodes, etc.

[0048] It should be noted that the unit of current is ampere, the unit of resistance is ohm, and the unit of voltage is volt.

[0049] In one implementation of this invention, the data acquisition frequencies of the two current transformers and the voltage transformer are the same, and the data acquisition frequency is set to 10 Hz.

[0050] In one implementation of this invention, the analysis period is composed of the current time and the 50 times preceding it. The implementer can set the number of times included in the analysis period according to the specific circumstances.

[0051] Step S2: Based on the relative magnitude of the current scheduling error of each node at the current moment and the previous moment, and the resistance value of each superconducting current limiter at the current moment, obtain the local rationality of each superconducting current limiter for each node at the current moment.

[0052] Resistive superconducting current limiters (RCDs) achieve active control of distribution network current through dynamic impedance adjustment. A properly configured RCD should achieve a balance between: rapidly switching to high resistance during transient events such as short circuits to protect system equipment; and maintaining low resistance during steady-state operation to avoid unnecessary power loss. If the RCD maintains high resistance in steady-state, the current dispatch error will continuously increase, indicating that the RCD is not properly configured in the distribution network system and fails to coordinate with other parts of the system. Therefore, by comprehensively analyzing the resistance value of each RCD at the current moment and the relative magnitude of the current dispatch error of each node compared to the previous moment, the local rationality of the configuration of each RCD for each node at the current moment can be obtained.

[0053] Step S3: Based on the correlation between the resistance value change and the actual current value change of each node at adjacent moments in the analysis period, adjust the local rationality of the corresponding superconducting current limiter for each node at the current moment, and obtain the rational configuration degree of the superconducting current limiter for each node in the distribution network at the current moment.

[0054] The resistive superconducting current limiter achieves overcurrent protection for the distribution network by dynamically adjusting the impedance. Its core working principle is: when the current exceeds the set threshold, the resistance of the superconducting current limiter transitions from the superconducting state to the normal state, i.e., high resistance, to suppress the fault current. At the same time, the resistance change of a single superconducting current limiter not only affects a single node, but also forms a complex interaction with other superconducting current limiters, resulting in a multi-current limiter synergistic effect.

[0055] When an increase in the resistance of a superconducting current limiter leads to a decrease in the node current, it is considered that there is a significant interaction between the superconducting current limiter and the node. In this case, based on Ohm's law, the rate of change of the superconducting current limiter resistance and the rate of change of the node current maintain a stable negative correlation. This means that there is a close correlation between the decrease in node current and the increase in the resistance of the superconducting current limiter, and this relationship should remain consistent throughout history. Therefore, based on the correlation between the degree of resistance change and the degree of actual current change of each superconducting current limiter and each node at adjacent moments within the analysis period, the influence of each superconducting current limiter on each node is analyzed.

[0056] Considering the interaction between different superconducting current limiters in the distribution network, the local rationality of the corresponding superconducting current limiter for each node at the current moment is adjusted based on the degree of influence of all superconducting current limiters on each node in the distribution network. This accurately reflects the overall rational configuration effect of the superconducting current limiters in the distribution network on each node at the current moment, thus obtaining the rational configuration degree.

[0057] Step S4: Detect the dynamic load balance status of the distribution network at the current moment based on the current dispatch error and reasonable configuration degree of all nodes in the distribution network at the current moment.

[0058] Current dispatch error measures the local load imbalance at each node at any given time. Introducing superconducting current limiters (SLLs) dynamically corrects the local load imbalance by optimizing the configuration of each node at the current moment. This ensures that node demands are met while minimizing the interference of SLL configuration on system dispatch, achieving more precise load balancing. Analyzing the overall impact of the combined energy demand of each node and the regulation effect of the SLL helps to more accurately assess the dynamic load balance of the system under the current configuration. Distribution networks are complex networks composed of multiple nodes, and the load balance of each node directly affects the load balance of the entire system. By comprehensively evaluating the load balance of all nodes at the current moment, the overall load balance of the system is assessed.

[0059] This solution, through real-time monitoring and comprehensive evaluation of the distribution network load, combined with the working principle of the resistive superconducting current limiter, can more accurately determine whether the distribution network is in a safe and reliable operating state, which helps to promptly identify potential risks and improve the ability to assess the safety of the distribution network.

[0060] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the current dispatch error includes: obtaining the ideal current value of each node in the distribution network; and recording the absolute value of the difference between the actual current value and the ideal current value of each node at each time as the current dispatch error of each node at each time.

[0061] It should be noted that, in this embodiment of the invention, when the distribution network is in a safe operating state, the actual current value of each node in the distribution network during a certain period of historical time coincidence with the current moment is obtained, and the average of the actual current values ​​at all moments within that period is recorded as the ideal current value of each node. Wherein, if the current moment is a summer night in 2025, then the historical time coincidence refers to a summer night in 2024, from which a certain period is randomly selected. In other embodiments of the invention, the ideal current value of each node in the distribution network at the current moment can also be predicted using time-series models such as Long Short-Term Memory (LSTM) networks.

[0062] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining local rationality includes: taking the difference between the current dispatch error of a node in the distribution network at the current time and that at the previous time as the dispatch error increase of the node at the current time; and obtaining the local rationality of each superconducting current limiter for each node at the current time based on the resistance value of each superconducting current limiter at the current time and the dispatch error increase of the node at the current time.

[0063] It should be noted that when the resistance of the superconducting current limiter increases, the equivalent impedance of the line in which it is located increases significantly, suppressing fault current or overload current, thereby affecting the current distribution at each node of the distribution network. Simultaneously, the current dispatch error at the nodes of the distribution network is higher at the current moment than at the previous moment, indicating a mismatch between the dynamic response of the superconducting current limiter and the node adjustment requirements in the distribution network. This mismatch can strongly interfere with the dispatch of the distribution network system, leading to a deterioration of the load balance or inability to maintain it effectively. The worse the rational configuration effect of the superconducting current limiter on node dispatch at the current moment, the worse the local rationality. Therefore, both the resistance value and the increase in dispatch error are negatively correlated with the local rationality. In this embodiment of the invention, the product of the resistance value of each superconducting current limiter at the current moment and the increase in the dispatch error of the node at the current moment is negatively correlated to obtain the local rationality of each superconducting current limiter for each node at the current moment.

[0064] In this embodiment of the invention, the data to be tested is used as the exponent of an exponential function with the natural constant as the base, thereby realizing the negative correlation mapping processing of the data to be tested. Alternatively, methods such as linear transformation can be selected for negative correlation mapping, which is not limited here.

[0065] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the reasonable configuration degree is described in [reference needed]. Figure 2 The diagram illustrates a flowchart of a method for obtaining a reasonable configuration degree according to an embodiment of the present invention, the method comprising:

[0066] Step S310: Based on the correlation between the resistance value change and the actual current value change of each superconducting current limiter and each node in the distribution network at adjacent times during the analysis period, obtain the influence of each superconducting current limiter on each node at the current time.

[0067] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the influence degree includes: for every two adjacent moments within the analysis period, calculating the difference between the resistance value of each superconducting current limiter at the next moment and the ratio of the resistance value at the previous moment to the sum of the resistance value at the previous moment and the preset first value, and the difference between the actual current value of each node at the previous moment and the ratio of the actual current value at the previous moment to the sum of the current value at the previous moment and the preset second value, and taking the absolute value of the difference between the two ratios as the local correlation degree of each superconducting current limiter with respect to each node at the previous moment; performing negative correlation mapping on the sum of the local correlation degrees of each superconducting current limiter with respect to each node at the remaining moments within the analysis period excluding the current moment, to obtain the influence degree of each superconducting current limiter with respect to each node at the current moment.

[0068] In one specific implementation of this invention, the influence of each superconducting current limiter on each node at the current moment is expressed by the formula:

[0069]

[0070] In the formula, Let represent the impact of the u-th superconducting current limiter on the v-th node in the distribution network at the current time; D is the current time; N is the total number of times in the analysis period. Let be the resistance value of the u-th superconducting current limiter in the distribution network at the n-th time during the analysis period; Let be the resistance value of the u-th superconducting current limiter in the distribution network at the (n+1)-th time during the analysis period; Let be the resistance value of the v-th superconducting current limiter in the distribution network at the n-th time during the analysis period; Let be the resistance value of the v-th superconducting current limiter in the distribution network at the (n+1)-th time during the analysis period; is an absolute value function; exp is an exponential function with the natural constant as the base. As a preset first value, The second value is preset to prevent the fraction from becoming undefined when the denominator is zero; both are extremely small positive numbers. It needs to be less than the minimum resistance value of the superconducting current limiter during the analysis period, and an empirical value of 0.001 amperes is taken. It needs to be less than the minimum current value of the node during the analysis period, and an empirical value of 0.1 amperes is taken; Let represent the local correlation of the u-th superconducting current limiter with respect to the v-th node in the distribution network at time n within the analysis period.

[0071] It should be noted that, This represents the rate of increase in resistance of the superconducting current limiter. The difference between the two, representing the rate of decrease in node current, is a measure of the local correlation, which quantifies the impedance-current coupling strength of the u-th superconducting current limiter to the v-th node. A smaller local correlation indicates a more stable negative correlation between the rate of increase in resistance of the u-th superconducting current limiter and the rate of decrease in current of the v-th node, thus indicating a greater influence of the u-th superconducting current limiter on the v-th node. The larger.

[0072] In other embodiments of the present invention, the resistance values ​​and actual current values ​​of the superconducting current limiter and the node at each moment are standardized to obtain standard resistance values ​​and standard current values. The standard resistance values ​​of each superconducting current limiter at all moments during the analysis period are arranged in chronological order to obtain a resistance sequence, and the standard current values ​​of each node at all moments during the analysis period are arranged in chronological order to obtain a current sequence. The Pearson correlation coefficient between the resistance sequence and the current sequence is obtained, and the correlation coefficient is negatively correlated and normalized to obtain the influence of each superconducting current limiter on each node at the current moment.

[0073] It should be noted that the smaller the correlation coefficient, the more significant the decrease in node current caused by the increase in the resistance of the superconducting current limiter, and the more obvious and greater the influence of the superconducting current limiter on the node. In this embodiment, the range standardization method is used for standardization; other standardization methods such as Z-score standardization and decimal scaling standardization can also be used. Since the correlation coefficient ranges from -1 to 1, this embodiment calculates half the difference between the constant 1 and the Pearson correlation coefficient between the resistance and current sequences to achieve negative correlation and normalization of the correlation coefficient. Other methods can also be used, and are not limited here.

[0074] Step S320: Adjust the local rationality of all superconducting current limiters in the distribution network for each node at the current moment according to the impact degree, and obtain the rational configuration degree of superconducting current limiters in the distribution network for each node at the current moment.

[0075] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the reasonable configuration degree includes: based on the influence degree of all superconducting current limiters in the distribution network on each node at the current moment, normalizing the influence degree of each superconducting current limiter on each node at the current moment to obtain the influence weight; and weighted summing the local reasonableness of all superconducting current limiters in the distribution network on each node at the current moment according to the influence weight to obtain the reasonable configuration degree of superconducting current limiters in the distribution network on each node at the current moment. It should be noted that the local reasonable configuration evaluation of a single superconducting current limiter in the distribution network may fail due to equipment status or position deviation. By weighted summing and integrating the local reasonable configuration evaluation of all superconducting current limiters in the distribution network on the scheduling of a single node, the overall reasonable configuration effect of all superconducting current limiters in the distribution network on each node is analyzed and optimized, improving the robustness of the overall evaluation and avoiding local misjudgment. In a specific implementation of the embodiments of the present invention, the reasonable configuration degree is expressed by the formula:

[0076]

[0077] In the formula, D represents the optimal configuration degree of the superconducting current limiter for the v-th node in the distribution network at the current time; D represents the current time; and U represents the total number of superconducting current limiters in the distribution network. Let represent the degree of influence of the u-th superconducting current limiter on the v-th node in the distribution network at the current moment. Let m be the influence of the m-th superconducting current limiter on the v-th node in the distribution network at the current moment. Let represent the local rationality of the u-th superconducting current limiter for the v-th node in the distribution network at the current moment. Let represent the influence weight of the u-th superconducting current limiter on the v-th node in the distribution network at the current moment.

[0078] Preferably, in some possible implementations of the embodiments of the present invention, the method for detecting the dynamic load balance state is described in [reference needed]. Figure 3 The diagram illustrates a flowchart of a method for detecting dynamic load balance according to an embodiment of the present invention. The method includes:

[0079] Step S410: Based on the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment and the ideal current value of each node, obtain the adjustment weight of each node at the current moment.

[0080] It should be noted that nodes with higher ideal current values ​​have a greater demand for electricity, and the current fluctuations of nodes with high electricity demand have a greater impact on the stability of the distribution network. However, the working mechanism of the superconducting current limiter regulates the load balance of the distribution network system. Simply relying on the ideal current to assess the load balance ignores the active intervention effect of the superconducting current limiter. Therefore, a reasonable configuration metric is needed to quantify the regulatory compatibility of each superconducting current limiter on individual nodes. If the ideal current value and the reasonable configuration degree are larger, the node requires a stronger current regulation capability, and the superconducting current limiter can provide this capability, then the regulation capability of the superconducting current limiter on the node is stronger. Therefore, both the reasonable configuration degree and the ideal current value are positively correlated with the regulation weight. In this embodiment of the invention, the product of the reasonable configuration degree of the superconducting current limiter for each node at the current moment and the ideal current value of the corresponding node is normalized to obtain the regulation weight of each node at the current moment.

[0081] In this embodiment of the invention, max-min normalization is used for normalization. Alternatively, function transformation, sigmoid function, or other normalization methods may be selected, and no limitation is made here.

[0082] Step S420: Based on the current dispatch error and adjustment weight of all nodes in the distribution network at the current moment, obtain the overall load balance of the distribution network at the current moment; determine whether the overall load balance is greater than the preset balance threshold. If so, the distribution network is in a dynamic load balance state at the current moment; otherwise, the distribution network is in a dynamic load balance state at the current moment.

[0083] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the overall load balance includes: performing a negative correlation mapping on the current dispatch error of each node at the current time, multiplying the mapping result with the adjustment weight of the corresponding node at the current time, and using the product as the local load balance of each node at the current time; and normalizing the sum of the local load balances of all nodes in the distribution network at the current time to obtain the overall load balance of the distribution network at the current time.

[0084] It should be noted that current dispatch error measures the local load imbalance of a node at the current moment. The smaller the current dispatch error, the less compensation power is required by the node, and the better the dynamic load balance of the node. Simultaneously considering the adjustment weight ensures that node requirements are met while reducing the interference of superconducting current limiter configuration on system dispatch, thus achieving more accurate load balance analysis. Furthermore, a larger adjustment weight means a stronger adjustment capability of the superconducting current limiter on the node, allowing it to suppress current dispatch error more quickly and further improve the dynamic load balance of the node. Therefore, current dispatch error is negatively correlated with local load balance, while adjustment weight is positively correlated with local load balance. A larger local load balance at each node indicates a better dynamic load balance at that node by the superconducting current limiter in the distribution network.

[0085] In this embodiment of the invention, the Sigmoid function is used for normalization. The test data is used as the exponent of an exponential function with the natural constant as the base, so as to realize the negative correlation mapping of the test data. Alternatively, normalization methods such as function transformation, max-min normalization, and linear transformation can be used to perform negative correlation mapping. No limitation is made here.

[0086] In one implementation of this invention, the preset balance threshold is set to 0.8.

[0087] This invention is now complete.

[0088] Example 2:

[0089] The invention also presents a schematic diagram of a computer device for detecting the dynamic load balance in a distribution network containing a superconducting current limiter. Please refer to [link / reference needed]. Figure 4 The computer device includes a memory 501, a processor 502, and a computer program 503 stored in the memory 501 and running on the processor 502. When the processor 502 executes the computer program 503, the computer device can execute any of the aforementioned methods for detecting the dynamic load balance of a distribution network with a superconducting current limiter.

[0090] Furthermore, embodiments of this application also protect an apparatus that may include a memory and a processor, wherein the memory stores executable program code, and the processor is used to call and execute the executable program code to perform a load dynamic balance state detection method for distribution networks with superconducting current limiters provided in embodiments of this application.

[0091] This embodiment can divide the device into functional modules based on the above method example. For example, each module can correspond to a separate function, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.

[0092] When each module is divided according to its function, the device may also include a communication module, a signal analysis module, a complexity analysis module, and a positioning module. It should be noted that all relevant content of each step involved in the above method embodiments can be referenced from the functional descriptions of the corresponding functional modules, and will not be repeated here.

[0093] It should be understood that the device provided in this embodiment is used to perform the above-described method for detecting the dynamic load balance of a distribution network with superconducting current limiters, and therefore can achieve the same effect as the above-described implementation method.

[0094] When using integrated units, the device may include a processing module and a storage module. When applied to a workpiece, the processing module can be used to control and manage the workpiece's operations. The storage module can be used to support the execution of program code by the workpiece.

[0095] The processing module may be a processor or a controller, which can implement or execute various exemplary logic blocks, modules, and circuits contained in conjunction with the disclosure of this application. The processor may also be a combination of functions that implement computing capabilities, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc., and the storage module may be a memory.

[0096] Example 3:

[0097] This embodiment also provides a computer-readable storage medium storing computer program code. When the computer program code is run on a computer, the computer executes the above-described related method steps to implement the load dynamic balance state detection method for distribution networks with superconducting current limiters provided in the above embodiment.

[0098] Example 4:

[0099] This embodiment also provides a computer program product. When the computer program product is run on a computer, it causes the computer to perform the above-mentioned related steps to realize the load dynamic balance state detection method for distribution networks with superconducting current limiters provided in the above embodiment.

[0100] In this embodiment, the device, computer-readable storage medium, computer program product, or chip are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0101] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0102] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0103] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for detecting the dynamic load balance state of a distribution network containing a superconducting current limiter, characterized in that, The method includes: acquiring the actual current and resistance values ​​of each node in the distribution network and the superconducting current limiter at each moment during the analysis period; the last moment of the analysis period is the current moment; acquiring the local rationality of each superconducting current limiter for each node at the current moment based on the relative magnitude of the current dispatch error of each node at the current moment and the previous moment, and the resistance value of each superconducting current limiter at the current moment; adjusting the local rationality of the corresponding superconducting current limiter for each node at the current moment based on the correlation between all superconducting current limiters in the distribution network and the degree of change in resistance value and actual current value of each node at adjacent moments during the analysis period, to acquire the reasonable configuration degree of superconducting current limiters for each node in the distribution network at the current moment; and detecting the load dynamic balance state of the distribution network at the current moment based on the current dispatch error of all nodes in the distribution network at the current moment and the reasonable configuration degree.

2. The method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 1, characterized in that, The process of obtaining the local rationality of each superconducting current limiter for each node at the current moment includes: The difference between the current dispatch error of a node in the distribution network at the current moment and that at the previous moment is taken as the dispatch error increment of the node at the current moment; based on the resistance value of each superconducting current limiter at the current moment and the dispatch error increment of the node at the current moment, the local rationality of each superconducting current limiter for each node at the current moment is obtained.

3. The method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 1, characterized in that, The process of obtaining the optimal configuration degree of the superconducting current limiter for each node in the distribution network at the current moment includes: Based on the correlation between the resistance value change and the actual current value change of each superconducting current limiter and each node in the distribution network at adjacent times within the analysis period, the influence of each superconducting current limiter on each node at the current time is obtained. Based on the aforementioned impact level, adjust the local rationality of all superconducting current limiters in the distribution network for each node at the current moment, and obtain the rational configuration degree of superconducting current limiters in the distribution network for each node at the current moment.

4. The method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 3, characterized in that, The process of obtaining the impact of each superconducting current limiter on each node at the current moment includes: For each two adjacent moments within the analysis period, calculate the difference between the resistance values ​​of each superconducting current limiter at the next moment and the previous moment, and the ratio of the resistance value at the previous moment to the sum of the preset first value. Also calculate the difference between the actual current values ​​of each node at the previous moment and the next moment, and the ratio of the actual current value at the previous moment to the sum of the preset second value. Use the absolute value of the difference between the two ratios as the local correlation of each superconducting current limiter with respect to each node at the previous moment. By performing a negative correlation mapping on the sum of the local correlations of each superconducting current limiter for each node at all times except the current time during the analysis period, the influence of each superconducting current limiter on each node at the current time is obtained.

5. The method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 3, characterized in that, The process of obtaining the optimal configuration degree of the superconducting current limiter for each node in the distribution network at the current moment includes: Based on the influence of all superconducting current limiters in the distribution network on each node at the current moment, the influence of each superconducting current limiter on each node at the current moment is normalized to obtain the influence weight; according to the influence weight, the local rationality of all superconducting current limiters in the distribution network on each node at the current moment is weighted and summed to obtain the rational configuration degree of superconducting current limiters in the distribution network on each node at the current moment.

6. The method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 1, characterized in that, The method for obtaining the current dispatch error includes: Obtain the ideal current value of each node in the distribution network; record the absolute value of the difference between the actual current value and the ideal current value of each node at each time as the current dispatch error of each node at each time.

7. A method for detecting the dynamic load balance state of a distribution network containing a superconducting current limiter according to claim 6, characterized in that, The detection of the dynamic load balance status of the distribution network at the current moment includes: Based on the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment and the ideal current value of each node, the adjustment weight of each node at the current moment is obtained. Based on the current dispatch error of all nodes in the distribution network at the current moment and the adjustment weight, the overall load balance of the distribution network at the current moment is obtained; it is determined whether the overall load balance is greater than the preset balance threshold. If so, the distribution network is in a dynamic load balance state at the current moment; otherwise, the distribution network is in a dynamic load balance state at the current moment.

8. A method for detecting the dynamic load balance state of a distribution network containing a superconducting current limiter according to claim 7, characterized in that, The process of obtaining the overall load balance of the distribution network at the current moment includes: A negative correlation mapping is performed on the current scheduling error of each node at the current moment, and the product of the mapping result and the adjustment weight of the corresponding node at the current moment is used as the local load balance of each node at the current moment. The sum of the local load balance of all nodes in the distribution network at the current moment is normalized to obtain the overall load balance of the distribution network at the current moment.

9. A method for detecting the dynamic load balance state of a distribution network containing a superconducting current limiter according to claim 2, characterized in that, The resistance value and the increase in scheduling error are both negatively correlated with the local rationality.

10. A method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 7, characterized in that, The reasonable configuration degree and the ideal current value are both positively correlated with the adjustment weight.

11. A method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 7, characterized in that, The preset balance threshold is 0.

8.

12. The method for detecting the dynamic load balance state of a distribution network with superconducting current limiters according to claim 4, characterized in that, Both the preset first value and the preset second value are positive numbers.

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