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

Abstract

The invention relates to the technical field of power distribution network load balance detection, in particular to a load dynamic balance state detection method for a power distribution network with a superconducting current limiter. The method comprises the following steps: according to the relative magnitude of current scheduling errors of each node at the current moment and the previous moment and the resistance value of each superconducting current limiter at the current moment, obtaining each local reasonability; according to the correlation degree between the resistance value change degree and the actual current value change degree of all the superconducting current limiters in the power distribution network and each node at the adjacent moments in the analysis time period, the local reasonability degree of the corresponding superconducting current limiters for each node at the current moment is adjusted, and the reasonable configuration degree is obtained; and detecting the load dynamic balance state of the power distribution network at the current moment according to the current scheduling error and the reasonable configuration degree of all the nodes of the power distribution network at the current moment. According to the method, the working principle of the resistance type superconducting current limiter is considered, and the load dynamic balance state of the power distribution network can be more accurately detected.

Description

Technical Field

[0001] The present invention relates to the technical field of load balance detection in a distribution network, and in particular to a method for detecting a dynamic load balance state of a distribution network containing a superconducting current limiter. Background Art

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

[0003] Existing methods utilize time series analysis methods, such as the autoregressive integrated moving average model, to capture patterns in load fluctuations based on historical load data and predict electricity demand for various regions or load points at different time points. These methods then compare the predicted load demand with the actual power supply to monitor the load status of the distribution network in real time. A significant discrepancy between the actual and predicted loads may indicate that the distribution network system is failing to maintain a dynamic load balance, potentially leading to overload or unstable power supply, and thus reduced reliability.

[0004] Resistive superconducting current limiters protect distribution networks by limiting transient overcurrents, but their introduction may interfere with existing load scheduling strategies. However, in actual distribution network operations, resistive superconducting current limiters are often introduced. These limiters automatically activate when the grid is overloaded or experiences a short-circuit fault. They provide impedance through their rapid transition between superconducting and normal states, potentially altering the current distribution at some load points and impacting the load forecasting and scheduling strategies of the distribution network. To ensure stable system operation, additional scheduling methods are needed to adjust the power supply to each load point in real time, increasing scheduling complexity. As scheduling strategies become more complex, certain parts of the distribution network may become more vulnerable, particularly in the face of sudden load fluctuations or equipment failures. The system's adaptability may be weakened, impacting the reliability and safety of the distribution network. Existing technologies fail to consider the potential interference of superconducting current limiters with load dynamic balance detection, resulting in deviations in the detection results of the distribution network's load dynamic balance state and reducing the accuracy of distribution network reliability assessments. Summary of the Invention

[0005] In order to solve the technical problem that the introduction of resistive superconductors into the distribution network may interfere with the original load scheduling strategy, resulting in low reliability of the load dynamic balance state assessment of the distribution network system, the purpose of the present invention is to provide a load dynamic balance state detection method for a distribution network containing superconducting current limiters. The technical solution adopted is as follows: The present invention proposes a method for detecting the dynamic balance state of a load in a distribution network containing a superconducting current limiter, the method comprising: Obtaining the actual current value and resistance value of each node and superconducting current limiter of the distribution network at each moment in the analysis period; the last moment in the analysis period is the current moment; According to the relative size of the current scheduling error of each node at the current moment and the current scheduling error of the node at 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; According to the correlation between the resistance value change degree and the actual current value change degree of all superconducting current limiters in the distribution network and each node at adjacent moments in the analysis period, the local rationality of the corresponding superconducting current limiter for each node at the current moment is adjusted to obtain the rational configuration degree of the superconducting current limiter for each node in the distribution network at the current moment; According to the current dispatch errors of all nodes in the distribution network at the current moment and the reasonable configuration degree, the dynamic load balance state of the distribution network at the current moment is detected.

[0006] Furthermore, obtaining the local rationality of each superconducting current limiter for each node at the current moment includes: The difference between the current scheduling error of the distribution network node at the current moment and the current scheduling error increase of the node at the current moment is taken as the scheduling error increase of the node at the current moment. According to the resistance value of each superconducting current limiter at the current moment and the scheduling error increase of the node at the current moment, the local rationality of each superconducting current limiter for each node at the current moment is obtained.

[0007] Furthermore, obtaining the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment includes: According to the correlation between the resistance value change degree and the actual current value change degree of each superconducting current limiter and each node in the distribution network at adjacent moments within the analysis period, the influence degree of each superconducting current limiter on each node at the current moment is obtained; The local rationality of all superconducting current limiters in the distribution network for each node at the current moment is adjusted according to the influence, and the rational configuration degree of the superconducting current limiters in the distribution network for each node at the current moment is obtained.

[0008] Furthermore, obtaining the influence of each superconducting current limiter on each node at the current moment includes: For each two adjacent moments in the analysis period, respectively calculating the ratio of the difference between the resistance value of each superconducting current limiter at the latter moment and the former moment and the sum of the resistance value at the former moment and a preset first value, and the ratio of the difference between the actual current value of each node at the former moment and the latter moment and the sum of the actual current value at the former moment and a preset second value, and taking 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 former moment; Negative correlation mapping is performed on the cumulative sum of the local correlations of each superconducting current limiter for each node at other times within the analysis period except the current time, to obtain the influence of each superconducting current limiter on each node at the current time.

[0009] Furthermore, obtaining the reasonable 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 an influence weight; according to the influence weight, the local rationality of all superconducting current limiters in the distribution network for each node at the current moment is weighted and summed to obtain the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment.

[0010] Furthermore, the method for obtaining the current scheduling error includes: The ideal current value of each node in the distribution network is obtained; the absolute value of the difference between the actual current value and the ideal current value of each node at each moment is recorded as the current scheduling error of each node at each moment.

[0011] Furthermore, the detecting of the dynamic load balance state of the distribution network at the current moment includes: Obtaining a regulation weight of each node at the current moment 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; According to the current dispatching errors of all nodes in the distribution network at the current moment and the adjustment weight, the overall load balance degree of the distribution network at the current moment is obtained; it is judged whether the overall load balance degree 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.

[0012] Furthermore, obtaining the overall load balance degree of the distribution network at the current moment includes: Perform negative correlation mapping on the current scheduling error of each node at the current moment, and multiply the mapping result by the adjustment weight of the corresponding node at the current moment as the local load balance degree of each node at the current moment; Normalizing the accumulated sum of the local load balance degrees of all nodes in the distribution network at the current moment to obtain the overall load balance degree of the distribution network at the current moment.

[0013] Furthermore, the resistance value and the scheduling error increase are both negatively correlated with the local rationality.

[0014] Furthermore, the reasonable configuration degree and the ideal current value are both positively correlated with the adjustment weight.

[0015] Furthermore, the preset balance threshold is 0.8.

[0016] Furthermore, the preset first value and the preset second value are both positive numbers.

[0017] The present invention has the following beneficial effects: In an embodiment of the present invention, if the resistance of the superconducting current limiter in a working state is large and the current scheduling error of each node exceeds that of the previous moment, it will interfere with the scheduling complexity of the distribution network system. This situation is contrary to 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 size of the current scheduling error of each node at the current moment and the previous moment, the reasonable configuration effect of the superconducting current limiter on the node scheduling at the current moment is analyzed to obtain the local rationality; multiple superconducting current limiters in the distribution network do not have an impact on each node. Only when the resistance of the superconducting current limiter increases and causes the node current to decrease, the superconducting current limiter and the node will have a mutual influence. The degree of change in the resistance value of each superconducting current limiter and each node at adjacent moments within the analysis period and the degree of change in the actual current value can be used to determine the local rationality. The correlation between them is taken into account, and the influence of each superconducting current limiter on each node is analyzed. Taking into account the interaction between different superconducting current limiters in the distribution network, the local rationality is adjusted using the influence degree, so as to accurately reflect the overall reasonable configuration effect of the overall superconducting current limiter in the distribution network on each node at the current moment, and obtain the reasonable configuration degree; the reasonable configuration of the superconducting current limiter will interfere with the complexity of the dynamic balance scheduling of the distribution network system. The current scheduling error measures the local load imbalance state of the node at each moment. The reasonable configuration degree is introduced to dynamically correct the local load imbalance state to ensure that the node demand is met and the interference of the superconducting current limiter configuration on the system scheduling is reduced. The dynamic balance state of the load of the distribution network system under the reasonable configuration of the superconducting current limiter is analyzed, so as to conduct a reliability assessment of the dynamic balance state of the load of the distribution network at the current moment.

[0018] Compared with the existing technology that directly evaluates the reliability of the distribution network through load dynamic balance state detection, but ignores the problem that the introduction of resistive superconducting current limiters may interfere with the original load scheduling strategy, resulting in low reliability of the load dynamic balance state evaluation of the distribution network system, this scheme considers the working principle of resistive superconducting current limiters, reduces the interference of the introduction of superconducting current limiters on the original load scheduling strategy, and determines the reliability of the distribution network by the reasonableness of the configuration of resistive superconducting current limiters under the load balance state, thereby ensuring the stable operation of the distribution network system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 A flowchart of a method for detecting a dynamic load balance state in a distribution network containing a superconducting current limiter provided by one embodiment of the present invention; Figure 2 A flow chart of a method for obtaining a reasonable configuration degree provided by one embodiment of the present invention; Figure 3 A flow chart of a method for detecting a dynamic load balance state provided by one embodiment of the present invention; Figure 4 A schematic diagram of a computer device for detecting a load dynamic balance state of a distribution network containing a superconducting current limiter provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0021] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail a method for detecting the dynamic balance state of a load in a distribution network containing a superconducting current limiter, including its specific implementation, structure, features, and effectiveness. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0022] Unless defined otherwise, 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 belongs.

[0023] The following describes in detail a method for detecting a dynamic load balance state of a distribution network containing a superconducting current limiter provided by the present invention with reference to the accompanying drawings.

[0024] Example 1: The present invention proposes a method for detecting the dynamic balance state of load in a distribution network containing a superconducting current limiter. Figure 1 , which shows a flowchart of a method for detecting a dynamic load balance state in a distribution network containing a superconducting current limiter provided by one embodiment of the present invention, the method comprising: Step S1: Acquire the actual current value and resistance value of each node and superconducting current limiter of the distribution network at each moment in the analysis period; the last moment in the analysis period is the current moment.

[0025] High-precision current transformers are installed at each node in the distribution network to collect the actual current value at each node at each moment during the analysis period. At the same time, high-precision current transformers and voltage sensors are installed at each resistive superconducting current limiter introduced in 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 to current value of a single superconducting current limiter at the same moment is recorded as the resistance value of the superconducting current limiter at each moment. A distribution network node refers to a key point in the power distribution process where different voltage levels are converted or where power equipment is connected. This can be a substation node, a distribution transformer node, an end-user node, etc.

[0026] It should be noted that the unit of current value is ampere, the unit of resistance value is ohm, and the unit of voltage value is volt.

[0027] In an implementation of the embodiment of the present invention, the data acquisition frequencies of the two current transformers and the voltage transformer are the same, and the data acquisition frequencies are both set to 10 Hz.

[0028] In one implementation of the embodiment of the present invention, the analysis period is composed of the current moment and its 50 previous adjacent moments. The implementer can set the number of moments included in the analysis period according to specific circumstances.

[0029] Step S2: according to the relative size 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.

[0030] Resistive superconducting current limiters achieve active control of distribution network current by dynamically adjusting impedance. A properly configured superconducting current limiter should strike a balance between rapidly switching to a high resistance value during transient conditions such as short circuits to protect system equipment and maintaining a low resistance value during steady-state operation to avoid unnecessary power loss. If the superconducting current limiter maintains a high resistance in steady-state operation, the current scheduling error will continue to increase, indicating that the superconducting current limiter in the distribution network system is not properly configured and is not coordinating with other components of the distribution network. Therefore, by combining the resistance value of each superconducting current limiter at the current moment and the relative magnitude of the current scheduling error at each node at the current moment compared to the previous moment, the proper configuration effect of each superconducting current limiter on the scheduling of each node at the current moment is analyzed, and the local rationality is obtained.

[0031] Step S3: According to the correlation between the resistance value change degree and the actual current value change degree of all superconducting current limiters in the distribution network and each node at adjacent moments within 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.

[0032] 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, that is, 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-limiter synergistic effect.

[0033] When an increase in the superconducting current limiter's resistance causes a decrease in the node current, a significant interaction between the superconducting current limiter and the node is determined. In this case, based on Ohm's law, the rate of change in the superconducting current limiter's resistance and the rate of change in the node current maintain a stable negative correlation, meaning that a decrease in node current is closely correlated with an increase in the superconducting current limiter's resistance, and this relationship should remain consistent across all historical moments. Therefore, the impact of each superconducting current limiter on each node is analyzed based on the correlation between the degree of change in resistance and actual current values ​​at adjacent moments within the analysis period.

[0034] Taking into account 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 influence of all superconducting current limiters in the distribution network on each node, thereby accurately reflecting the overall reasonable configuration effect of the entire superconducting current limiter in the distribution network on each node at the current moment and obtaining the reasonable configuration degree.

[0035] Step S4: Based on the current dispatching errors and reasonable configuration degrees of all nodes in the distribution network at the current moment, the dynamic load balance state of the distribution network at the current moment is detected.

[0036] The current scheduling error measures the local load imbalance of a node at each moment. By introducing the appropriate configuration of superconducting current limiters for each node at the current moment, the local load imbalance is dynamically corrected to ensure that node requirements are met while minimizing the interference of the superconducting current limiter configuration on system scheduling. This allows for more accurate load balancing. The overall impact of each node's power demand and the regulation effect of the superconducting current limiter is analyzed to more accurately assess the system's dynamic load balance under the current configuration. The distribution network is a complex network consisting of multiple nodes. The load balance of each node directly affects the load balance of the entire system. The global load balance of the entire system is assessed by comprehensively considering the load balance of all nodes at the current moment.

[0037] This solution conducts real-time monitoring and comprehensive evaluation of the distribution network load. Combined with the working principle of the resistive superconducting current limiter, it can more accurately determine whether the distribution network is in a safe and reliable operating state, helping to promptly identify potential risks and improve the safety assessment capabilities of the distribution network.

[0038] Preferably, in some possible implementation methods of the embodiments of the present invention, the method for obtaining the current scheduling error includes: obtaining the ideal current value of each node of 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 moment as the current scheduling error of each node at each moment.

[0039] It should be noted that in this embodiment of the present invention, when the distribution network is in a safe operating state, the actual current value of each node in the distribution network is obtained during a certain period of time that is historically contemporaneous with the current moment. The average of the actual current values ​​at all times within this period is recorded as the ideal current value of each node. If the current moment is a summer night in 2025, then the historical period refers to the summer night in 2024, from which a certain period is randomly selected. In other embodiments of the present invention, the ideal current value of each node in the distribution network at the current moment can also be predicted using a time series model such as a long short-term memory network.

[0040] Preferably, in some possible implementation methods of the embodiments of the present invention, the method for obtaining local rationality includes: taking the difference between the current scheduling error of the node of the distribution network at the current moment and its previous moment as the scheduling error increase of the node at the current moment; obtaining the local rationality of each superconducting current limiter for each node at the current moment based on the resistance value of each superconducting current limiter at the current moment and the scheduling error increase of the node at the current moment.

[0041] 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 the fault current or overload current, thereby affecting the current distribution of each node in the distribution network. At the same time, the current scheduling error of the node in the distribution network at the current moment is higher than that at the previous moment, indicating that the dynamic response of the superconducting current limiter in the distribution network is mismatched with the node regulation demand, which will cause strong interference to the scheduling of the distribution network system, causing the load balance state of the distribution network system to deteriorate or be unable to be effectively maintained. The more reasonable the configuration effect of the superconducting current limiter on the node at the current moment, the worse it is. Therefore, the resistance value and the scheduling error increase are negatively correlated with the local rationality. In an embodiment of the present invention, the product of the resistance value of each superconducting current limiter at the current moment and the scheduling error increase 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.

[0042] In an embodiment of the present invention, the data to be measured is taken as the exponent of an exponential function with a natural constant as the base, thereby achieving negative correlation mapping processing on the data to be measured. Linear change and other methods can also be selected for negative correlation mapping, which is not limited here.

[0043] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the reasonable configuration degree can be found in Figure 2 , which shows a flow chart of a method for obtaining a reasonable configuration degree provided by an embodiment of the present invention, the method comprising: Step S310: Obtain the influence of each superconducting current limiter on each node at the current moment according to the correlation between the resistance value change degree and the actual current value change degree of each superconducting current limiter and each node in the distribution network at adjacent moments within the analysis period.

[0044] Preferably, in some possible implementation methods of the embodiments of the present invention, the method for obtaining the influence degree includes: for each two adjacent moments in the analysis period, respectively calculating the ratio of the difference between the resistance value of each superconducting current limiter at the latter moment and the former moment and the sum of the resistance value at the former moment and a preset first value, the ratio of the difference between the actual current value of each node at the former moment and the latter moment and the sum of the actual current value at the former moment and a preset second value, and taking the absolute value of the difference between the two ratios as the local correlation of each superconducting current limiter to each node at the former moment; performing negative correlation mapping on the cumulative sum of the local correlations of each superconducting current limiter to each node at the remaining moments except the current moment in the analysis period, to obtain the influence degree of each superconducting current limiter to each node at the current moment.

[0045] In a specific implementation of the embodiment of the present invention, the influence of each superconducting current limiter on each node at the current moment is expressed by the formula:

[0046] Where, is the influence of the u-th superconducting current limiter in the distribution network on the v-th node at the current moment; D is the current moment; N is the total number of moments in the analysis period; is the resistance value of the u-th superconducting current limiter in the distribution network at the n-th moment in the analysis period; is the resistance value of the u-th superconducting current limiter in the distribution network at the n+1-th moment in the analysis period; is the resistance value of the vth superconducting current limiter in the distribution network at the nth moment in the analysis period; is the resistance value of the vth superconducting current limiter in the distribution network at the n+1th moment in the analysis period; is the absolute value function; exp is the exponential function with a natural constant as the base; is the preset first value, The second value is preset to prevent the denominator from being zero, which makes the fraction meaningless. 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 the empirical value is 0.001 ampere. It needs to be smaller than the minimum current value of the node during the analysis period, and the empirical value is 0.1 ampere. is the local correlation of the u-th superconducting current limiter in the distribution network to the v-th node at the n-th moment in the analysis period.

[0047] It should be noted that represents the resistance increase rate of the superconducting current limiter, represents the node current reduction rate. The difference between the two is the local correlation, which quantifies the impedance current coupling strength of the u-th superconducting current limiter on the v-th node. If the local correlation is smaller, it means that the resistance increase rate of the u-th superconducting current limiter is more stably negatively correlated with the current reduction rate of the v-th node, and the influence of the u-th superconducting current limiter on the v-th node is higher. The bigger.

[0048] 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 the standard resistance value and the standard current value in turn; the standard resistance values ​​of each superconducting current limiter at all moments in the analysis period are arranged in time sequence to obtain a resistance sequence, and the standard current values ​​of each node at all moments in the analysis period are arranged in time sequence to obtain a current sequence; the Pearson correlation coefficient between the resistance sequence and the current sequence is obtained, the correlation coefficient is negatively correlated and normalized, and the influence of each superconducting current limiter on each node at the current moment is obtained.

[0049] It should be noted that when the correlation coefficient is smaller, it indicates that the increase in the resistance of the superconducting current limiter leads to a more significant decrease in the node current, the more obvious the impact of the superconducting current limiter on the node, and the greater the degree of influence. In this embodiment, the range normalization method is selected for normalization. Other normalization methods such as Z-score normalization and decimal scaling normalization can also be used. Since the correlation coefficient ranges from -1 to 1, this embodiment calculates a constant 1 and half of the difference between the Pearson correlation coefficient between the resistance sequence and the current sequence to achieve negative correlation and normalization of the correlation coefficient. Other methods can also be used and are not limited here.

[0050] Step S320: adjusting the local rationality of all superconducting current limiters in the distribution network for each node at the current moment according to the influence, and obtaining the rational configuration degree of the superconducting current limiters in the distribution network for each node at the current moment.

[0051] 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 of all superconducting current limiters in the distribution network on each node at the current moment, normalizing the influence of each superconducting current limiter on each node at the current moment to obtain the influence weight; performing weighted summation on the local rationality of all superconducting current limiters in the distribution network for each node at the current moment according to the influence weight, to obtain the reasonable configuration degree of the superconducting current limiter in the distribution network for 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 device status or position deviation. By integrating the local reasonable configuration evaluation of all superconducting current limiters in the distribution network for a single node by weighted summation, the overall reasonable configuration effect of all superconducting current limiters in the distribution network for each node is analyzed and optimized, the robustness of the overall evaluation is improved, and local misjudgment is avoided. In a specific implementation of the embodiment of the present invention, the reasonable configuration degree is expressed by the formula:

[0052] Where, is the reasonable configuration degree of the superconducting current limiter for the vth node in the distribution network at the current moment; D is the current moment; U is the total number of superconducting current limiters in the distribution network; is the influence of the u-th superconducting current limiter in the distribution network on the v-th node at the current moment; is the influence of the mth superconducting current limiter in the distribution network on the vth node at the current moment; is the local rationality of the u-th superconducting current limiter in the distribution network for the v-th node at the current moment; is the influence weight of the u-th superconducting current limiter in the distribution network on the v-th node at the current moment.

[0053] Preferably, in some possible implementations of the embodiments of the present invention, the method for detecting the dynamic balance state of the load can be found in Figure 3 , which shows a flow chart of a method for detecting a dynamic load balance state provided by an embodiment of the present invention, the method comprising: Step S410: obtaining the regulation weight of each node at the current moment according to 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.

[0054] It should be noted that the node with a larger ideal current value has a higher degree of demand for electric energy, and the current fluctuation of the high-energy-demand node has a greater impact on the stability of the distribution network. However, the working mechanism of the superconducting current limiter has a regulating effect on the load balance state of the distribution network system. Simply relying on the ideal current to evaluate the load balance will ignore the active intervention effect of the superconducting current limiter. It is necessary to introduce a reasonable configuration metric to quantify the regulatory compatibility of each superconducting current limiter for a single node. 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 superconducting current limiter has a stronger regulatory capability for the node. Therefore, the reasonable configuration degree and the ideal current value are both positively correlated with the regulation weight. In an embodiment of the present invention, the product of 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 the corresponding node is normalized to obtain the regulation weight of each node at the current moment.

[0055] In the embodiment of the present invention, maximum and minimum normalization is used for normalization processing. Function transformation, Sigmoid function and other normalization methods may also be selected, which are not limited here.

[0056] Step S420: Obtain the overall load balance of the distribution network at the current moment based on the current dispatching errors and adjustment weights of all nodes in the distribution network at the current moment; determine whether the overall load balance is greater than a 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.

[0057] Preferably, in some possible implementation methods of the embodiments of the present invention, the method for obtaining the overall load balance degree includes: performing negative correlation mapping on the current scheduling error of each node at the current moment, and taking the product of the mapping result and the adjustment weight of the corresponding node at the current moment as the local load balance degree of each node at the current moment; normalizing the cumulative sum of the local load balance degrees of all nodes in the distribution network at the current moment to obtain the overall load balance degree of the distribution network at the current moment.

[0058] It should be noted that the current scheduling error measures the local load imbalance state of a node at the current moment. The smaller the current scheduling error, the less compensation power required at the node and the better the dynamic load balance state of the node. Simultaneously considering the adjustment weight ensures that node requirements are met and reduces the interference of the superconducting current limiter configuration on system scheduling, thereby achieving more accurate load balance analysis. A larger adjustment weight indicates a stronger superconducting current limiter's ability to regulate the node, allowing the superconducting current limiter in the distribution network to more quickly suppress current scheduling errors and further improve the node's dynamic load balance state. Therefore, the current scheduling error is negatively correlated with the degree of local load balance, while the adjustment weight is positively correlated with the degree of local load balance. A higher degree of local load balance at each node indicates the dynamic load balance of the superconducting current limiter at each node at the current moment.

[0059] In the embodiment of the present invention, the Sigmoid function is used for normalization processing, and the data to be measured is used as the exponent of an exponential function with a natural constant as the base to achieve negative correlation mapping processing of the data to be measured. Normalization methods such as function transformation, maximum and minimum normalization, and linear change methods can also be selected for negative correlation mapping, which are not limited here.

[0060] In one implementation of the embodiment of the present invention, the preset balance threshold is set to 0.8.

[0061] So far, the present invention is completed.

[0062] Example 2: The invention also proposes a computer device schematic diagram of a load dynamic balance state detection device for a distribution network containing a superconducting current limiter, please refer to 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, wherein when the processor 502 executes the computer program 503, the computer device can execute any of the load dynamic balance state detection methods for a distribution network containing a superconducting current limiter introduced above.

[0063] In addition, an embodiment of the present application also protects a device, which 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 execute a load dynamic balance state detection method for a distribution network containing a superconducting current limiter provided in an embodiment of the present application.

[0064] In this embodiment, the device can be divided into functional modules based on the above-described method examples. For example, each functional module can be mapped to a specific functional module, or two or more functions can be integrated into a single processing module. The integrated module can be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and represents only a logical functional division. In actual implementation, other division methods may be used.

[0065] In the case of dividing the modules into modules corresponding to their functions, the device may further include a communication module, a signal analysis module, a complexity analysis module, a positioning module, etc. It should be noted that all relevant contents of the various steps involved in the above method embodiment can be referred to the functional description of the corresponding functional modules and will not be repeated here.

[0066] It should be understood that the device provided in this embodiment is used to execute the above-mentioned method for detecting the dynamic balance state of a load for a distribution network containing a superconducting current limiter, and thus can achieve the same effect as the above-mentioned implementation method.

[0067] In the case of an integrated unit, the device may include a processing module and a storage module. When the device is applied to a device, the processing module may be used to control and manage the operation of the device. The storage module may be used to support the device in executing mutual program codes, etc.

[0068] The processing module may be a processor or controller that implements or executes the various exemplary logic blocks, modules, and circuits disclosed herein. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a digital signal processor (DSP) and a microprocessor, and the like. The storage module may be a memory.

[0069] Example 3: This embodiment also provides a computer-readable storage medium, which stores computer program code. When the computer program code is executed on a computer, the computer executes the above-mentioned related method steps to implement a load dynamic balance state detection method for a distribution network containing a superconducting current limiter provided in the above embodiment.

[0070] Example 4: This embodiment further provides a computer program product. When the computer program product is run on a computer, it enables the computer to execute the above-mentioned related steps to implement the load dynamic balance state detection method for a distribution network containing a superconducting current limiter provided by the above embodiment.

[0071] Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0072] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0073] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0074] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for detecting the dynamic balance state of a load in a distribution network containing a superconducting current limiter, characterized in that: The method comprises: obtaining actual current values ​​and resistance values ​​of each node and superconducting current limiter of a distribution network at each moment within an analysis period, wherein the last moment within the analysis period is the current moment; obtaining the local rationality of each superconducting current limiter for each node at the current moment based on the relative size of the current scheduling error of each node at the current moment and the current scheduling error of the previous moment, as well as 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 the resistance value change degree and the actual current value change degree of all superconducting current limiters in the distribution network and each node at adjacent moments within the analysis period, and obtaining the rational configuration degree of the superconducting current limiter for each node in the distribution network at the current moment; and detecting the dynamic load balance state of the distribution network at the current moment based on the current scheduling errors of all nodes in the distribution network at the current moment and the rational configuration degree.

2. A method for detecting the dynamic load balance state of a distribution network containing a superconducting current limiter according to claim 1, characterized in that: The obtaining of the local rationality of each superconducting current limiter for each node at the current moment includes: The difference between the current scheduling error of the distribution network node at the current moment and the current scheduling error increase of the node at the current moment is taken as the scheduling error increase of the node at the current moment. According to the resistance value of each superconducting current limiter at the current moment and the scheduling error increase 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. A method for detecting a load dynamic balance state in a distribution network containing a superconducting current limiter according to claim 1, characterized in that: The obtaining of the reasonable configuration degree of the superconducting current limiter for each node in the distribution network at the current moment includes: According to the correlation between the resistance value change degree and the actual current value change degree of each superconducting current limiter and each node in the distribution network at adjacent moments within the analysis period, the influence degree of each superconducting current limiter on each node at the current moment is obtained; The local rationality of all superconducting current limiters in the distribution network for each node at the current moment is adjusted according to the influence, and the rational configuration degree of the superconducting current limiters in the distribution network for each node at the current moment is obtained.

4. A method for detecting the dynamic load balance state of a distribution network containing a superconducting current limiter according to claim 3, characterized in that: The obtaining of the influence of each superconducting current limiter on each node at the current moment includes: For each two adjacent moments in the analysis period, respectively calculating the ratio of the difference between the resistance value of each superconducting current limiter at the latter moment and the former moment and the sum of the resistance value at the former moment and a preset first value, and the ratio of the difference between the actual current value of each node at the former moment and the latter moment and the sum of the actual current value at the former moment and a preset second value, and taking 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 former moment; Negative correlation mapping is performed on the cumulative sum of the local correlations of each superconducting current limiter for each node at other times within the analysis period except the current time, to obtain the influence of each superconducting current limiter on each node at the current time.

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

6. A method for detecting the dynamic load balance state of a distribution network containing a superconducting current limiter according to claim 1, characterized in that: The method for obtaining the current scheduling error includes: The ideal current value of each node in the distribution network is obtained; the absolute value of the difference between the actual current value and the ideal current value of each node at each moment is recorded as the current scheduling error of each node at each moment.

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 detecting of the dynamic load balance state of the distribution network at the current moment includes: Obtaining a regulation weight of each node at the current moment 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; According to the current dispatching errors of all nodes in the distribution network at the current moment and the adjustment weight, the overall load balance degree of the distribution network at the current moment is obtained; it is judged whether the overall load balance degree 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 obtaining of the overall load balance degree of the distribution network at the current moment includes: Perform negative correlation mapping on the current scheduling error of each node at the current moment, and multiply the mapping result by the adjustment weight of the corresponding node at the current moment as the local load balance degree of each node at the current moment; Normalizing the accumulated sum of the local load balance degrees of all nodes in the distribution network at the current moment to obtain the overall load balance degree of the distribution network at the current moment.

9. The 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 scheduling error increase are both negatively correlated with the local rationality.

10. The 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 reasonable configuration degree and the ideal current value are both positively correlated with the adjustment weight.

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

8.

12. A method for detecting a load dynamic balance state in a distribution network containing a superconducting current limiter according to claim 4, characterized in that: The preset first value and the preset second value are both positive numbers.

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