Power distribution network distributed differential protection method and system suitable for 1.4 GIGS communication network

Abstract

The invention relates to the technical field of differential protection, in particular to a power distribution network distributed differential protection method and system suitable for a 1.4 GIGS communication network, and the method comprises the following steps: extracting and analyzing real-time data based on the current and voltage parameters of each node of a power distribution network, calculating the difference between the nodes, screening out the nodes meeting conditions through the analysis of the difference value, and carrying out the analysis of the difference value. Signal receiving monitoring is carried out, and a key monitoring node list is generated. According to the invention, the node signal transmission path is optimized through the power distribution algorithm, and the time-frequency resource distribution of the signal is dynamically adjusted, so that the signal transmission is efficient and stable, the error rate in the signal transmission process is effectively reduced, and the response speed and accuracy of the differential protection system of the power distribution network are improved. The interference information in the signals is processed through the particle swarm optimization algorithm, the spectrum structure of the signals is optimized by rearranging and rotating the interference signals, and the transmission parameters of the signals are adjusted, so that the stability and the anti-interference capability of signal receiving are greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of differential protection technology, and in particular to a distribution network distributed differential protection method and system adapted to a 1.4G IGS communication network. Background Art

[0002] The field of differential protection technology is mainly used to detect and locate faults in the power grid, especially short circuits and other abnormal conditions. By comparing the currents in different parts of the power grid, when it is detected that the current difference exceeds a predetermined threshold, the system will trigger the protection device to isolate the fault area, thereby preventing further damage to the power grid and the occurrence of large-scale power outages.

[0003] The distributed differential protection method for distribution networks adapted to the 1.4GIGS communication network aims to achieve efficient and accurate differential protection in distributed power systems by utilizing the high-speed data transmission capability of the 1.4GIGS communication network, aiming to improve the stability and safety of the power system, especially in the face of complex grid structures and changing load conditions, to quickly identify and isolate faults and ensure the continuity and reliability of power supply.

[0004] When dealing with complex grid structures and variable load conditions, traditional methods rely on fixed signal transmission paths and preset parameter configurations. Static processing methods cannot adapt to the dynamically changing grid environment, resulting in delayed response during fault identification and isolation. Traditional methods lack effective optimization methods for signal interference processing, which can easily lead to false alarms or missed alarms, affecting the overall stability of the system, resulting in the inability to isolate the fault area in time, expanding the scope of the fault, and may even cause larger-scale power outages, seriously threatening the safety and continuous operation of the power system. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a distributed differential protection method and system for a distribution network adapted to a 1.4GIGS communication network.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a distributed differential protection method for a distribution network adapted to a 1.4GIGS communication network, comprising the following steps:

[0007] Step 1: Based on the current and voltage parameters of each node in the distribution network, extract and analyze real-time data, calculate the differences between nodes, screen out qualified nodes by analyzing the difference values, conduct signal reception monitoring, and generate a list of key monitoring nodes;

[0008] Step 2: Based on the list of key monitoring nodes, configure the communication resources of each monitoring node, analyze the interference signals between nodes, screen and exclude them by calculating the strength and spectrum distribution of the interference signals, and generate a channel gain configuration plan based on the channel gain of the comprehensive nodes;

[0009] Step 3: Based on the channel gain configuration scheme, a power allocation algorithm is used to optimize the transmission path of the node signal, adjust the time-frequency resource allocation of the signal, and generate a transmission path optimization result by real-time monitoring of the signal strength and interference in the transmission path;

[0010] Step 4: Based on the transmission path optimization result, the quality of the node received signal is evaluated, the bit error rate in the signal transmission is calculated, and the transmission adjustment is performed by re-encoding the signal exceeding the set threshold to generate a signal reception quality evaluation result;

[0011] Step 5: Based on the signal reception quality evaluation result, a particle swarm optimization algorithm is used to process the interference information in the signal, and the signal transmission parameters are adjusted by rearranging and rotating the interference signal to improve the stability of signal reception and generate a symbol-level interference optimization result;

[0012] Step 6: Based on the symbol-level interference optimization results, make final adjustments to the communication channels of all nodes, comprehensively analyze the channel gains and interference elimination between nodes, select the optimal communication configuration, and generate a comprehensive communication channel configuration solution.

[0013] As a further solution of the present invention, the specific steps of generating the key monitoring node list are:

[0014] Based on the current and voltage parameters of each node in the distribution network, extract real-time data, perform preliminary calculations on the current and voltage values ​​of each node, compare the change rates of adjacent time points, analyze and record the change trends, and generate node difference basic values;

[0015] Based on the node difference basic value, analyze the historical fluctuation data of each node, perform time series analysis, calculate the fluctuation range and compare it with the current data to obtain the change trend and generate the node difference fluctuation value;

[0016] Based on the node difference fluctuation value, the nodes with fluctuation values ​​within the set range are screened for signal reception monitoring. By comparing the real-time data update with the fluctuation value, the nodes that meet the conditions are marked and a list of key monitoring nodes is generated.

[0017] As a further solution of the present invention, the specific steps of generating the channel gain configuration solution are:

[0018] Based on the key monitoring node list, configure the communication resources of each node, analyze the interference signals between the nodes, classify and record the interference signals by comparing the signal strength and the spectrum distribution, and generate the interference signal analysis results;

[0019] Based on the interference signal analysis results, filter interference signals whose signal strength exceeds a threshold, exclude and suppress the interference signals, and generate an interference signal suppression scheme by adjusting the signal frequency band;

[0020] Based on the interference signal suppression scheme, the channel gain of each node is comprehensively analyzed, communication resources are adjusted through channel allocation, the channel configuration between nodes is optimized, the stability of signal transmission is ensured, and a channel gain configuration scheme is generated.

[0021] As a further solution of the present invention, the specific steps of generating the transmission path optimization result are:

[0022] Based on the channel gain configuration scheme, the transmission path of each node is analyzed, the signal transmission path of each node is extracted, and a preliminary adjustment of the path is performed. A preliminary path model is established by calculating the distribution of signal strength on the path, and a preliminary transmission path configuration is generated;

[0023] Based on the preliminary transmission path configuration, a power allocation algorithm is used to adjust the allocation of time-frequency resources, analyze the resource requirements of each node, dynamically allocate the transmission path of the signal by allocating different time-frequency resource segments, monitor the utilization of the signal on the time-frequency resources, and generate a time-frequency resource allocation plan;

[0024] Based on the time-frequency resource allocation scheme, the signal transmission path is optimized, the resource configuration on the path is adjusted, and by comparing the signal strength and interference conditions, the stability of the signal transmission is monitored in real time, the path optimization adjustment is completed, and the transmission path optimization result is generated.

[0025] As a further solution of the present invention, the power allocation algorithm is according to the formula:

[0026]

[0027] Where: P i represents the power allocated to the i-th node, h i represents the channel gain of the i-th node, α i represents the dynamic load factor of the i-th node, β i represents the interference suppression coefficient of the i-th node, γ represents the weight correction factor, P total represents the total power available for allocation, and N represents the total number of nodes.

[0028] As a further solution of the present invention, the specific steps of generating the signal reception quality evaluation result are:

[0029] Based on the transmission path optimization result, the quality of the signal received by each node is evaluated, the relevant parameters of the received signal are extracted, the bit error rate of each node is calculated, and the signals with bit error rates exceeding the standard are screened out by comparing the bit error rate with a set threshold, and a bit error rate analysis result is generated;

[0030] Based on the bit error rate analysis result, the signal with the bit error rate exceeding the standard is re-encoded, the coding structure of the signal is analyzed, the coding parameters are reset, the signal is re-encoded to ensure the transmission accuracy of the signal, and a re-encoded signal set is generated;

[0031] Based on the re-encoded signal set, the re-encoded signal transmission path is adjusted, the transmission efficiency of the signal on the path is analyzed, the path is fine-tuned to ensure the stability of signal transmission, and a signal reception quality evaluation result is generated.

[0032] As a further solution of the present invention, the specific steps of generating the symbol level interference optimization result are:

[0033] Based on the signal reception quality assessment results, the interference information in the received signal is extracted, the signal amplitude and phase are decomposed, the frequency components of the signal are analyzed, and the interference strength of each component is compared. The interference components are classified and marked at the same time to generate an interference signal component table;

[0034] Based on the interference signal component table, the particle swarm optimization algorithm is used to rearrange the marked interference signals, and the frequency and intensity distribution of the interference components are adjusted to optimize the signal spectrum structure. Combined with the phase rotation operation, the relative positions between the signals are adjusted to generate the interference signal adjustment results.

[0035] Based on the interference signal adjustment results, the signal transmission parameters are optimized, and the transmission path of each node is adjusted by reconfiguring the signal power, bandwidth and phase to generate symbol-level interference optimization results.

[0036] As a further solution of the present invention, the particle swarm optimization algorithm is according to the formula:

[0037]

[0038] Where: v i (t+1) is the velocity of the ith particle at time t+1, v i (t) is the velocity of the ith particle at time t, W is the inertia weight, c1 is the individual acceleration factor, r1 is a random number in the interval [0, 1], is the historical optimal position of the ith particle, c2 is the social acceleration factor, r2 is a random number in the interval [0, 1], g best is the global optimal position, α is the adjustment coefficient, f i (t) is a function of interference signal strength and frequency correlation, is the component characteristic parameter.

[0039] As a further solution of the present invention, the specific steps of generating the comprehensive communication channel configuration scheme are:

[0040] Based on the symbol-level interference optimization result, the communication channels of all nodes are analyzed, the channel gain data between the nodes are extracted, the channel performance of each node is compared and screened in combination with the interference elimination information, and the channel gain and interference data are generated;

[0041] Based on the channel gain and interference data, the communication channel is adjusted, and by analyzing the bandwidth and transmission efficiency between the channels, the communication resources of each node are reallocated, the channel configuration is optimized to reduce interference, and a channel configuration adjustment result is generated;

[0042] Based on the channel configuration adjustment result, the communication channel conditions of all nodes are comprehensively considered, the allocation of communication resources is adjusted, and a comprehensive communication channel configuration scheme is generated according to the channel gain and interference elimination effect.

[0043] A distributed differential protection system for a distribution network adapted to a 1.4G IGS communication network, the distributed differential protection system for a distribution network adapted to a 1.4G IGS communication network is used to execute the above-mentioned distributed differential protection method for a distribution network adapted to a 1.4G IGS communication network, the system comprising:

[0044] Node monitoring module: based on the current and voltage parameters of each node of the distribution network, extract and analyze real-time data, calculate the differences between nodes, determine the nodes that meet the conditions, and establish a list of key monitoring nodes by analyzing the change trend and recording the change data;

[0045] Channel configuration module: Based on the key monitoring node list, configure the communication resources of each node, analyze the interference signals between nodes, screen and eliminate the interference signals by comparing the signal strength and spectrum distribution, and generate a channel gain configuration plan according to the channel gain of the node;

[0046] Path optimization module: based on the channel gain configuration scheme, extract the signal transmission path of each node, adjust the path by calculating the distribution of signal strength on the path, dynamically allocate time and frequency resource segments, monitor the utilization rate of signal transmission, and generate transmission path optimization results;

[0047] Signal quality evaluation module: Based on the transmission path optimization result, the relevant parameters of the node receiving signal are analyzed, the bit error rate of each node is calculated and compared, and the signal with excessive bit error rate is screened out, re-encoded, and the transmission path is adjusted to establish a signal reception quality report;

[0048] Interference optimization module: based on the signal reception quality report, extract information of interference signals, decompose signal amplitude and phase, analyze signal frequency components and interference strength, classify and mark interference components, rearrange interference signals and optimize signal spectrum structure, and generate interference signal optimization results;

[0049] Channel adjustment module: based on the interference signal optimization result, analyze the channel gain data between nodes, combine the interference elimination information, readjust the communication channel, optimize the channel configuration and reduce interference, and generate a channel configuration adjustment plan;

[0050] Comprehensive configuration module: Based on the channel configuration adjustment scheme, the communication channels of all nodes are finally adjusted, and a comprehensive communication channel configuration scheme is established by reallocating communication resources and integrating the channel gain and interference elimination effects between nodes.

[0051] Compared with the prior art, the advantages and positive effects of the present invention are:

[0052] 1. In the present invention, the signal transmission path of each node in the distribution network is accurately optimized through a power allocation algorithm, and a dynamic time-frequency resource allocation strategy is adopted to adjust the power distribution and time-frequency resource allocation in the transmission path in real time according to the channel gain and interference of each node, thereby improving the efficiency of signal transmission and effectively reducing the bit error rate caused by signal path attenuation or interference. At the same time, through real-time monitoring and optimization of the transmission path, the stable transmission of high-quality signals is ensured, the response speed and accuracy of the distribution network differential protection system are greatly improved, and the sensitivity and timeliness of the system to faults are enhanced.

[0053] 2. In the present invention, the interference signal is rearranged and phase rotated through the particle swarm optimization algorithm, and the spectrum structure of the signal is further optimized, including the accurate decomposition of the amplitude and phase of the signal, combined with the adjustment of the interference signal strength and frequency, so that the anti-interference ability of the signal during transmission is significantly enhanced. At the same time, by adjusting the transmission parameters of the signal, including power, bandwidth and phase, adapting to the variable interference in the complex power grid environment, ensuring the stable reception of the signal, improving the anti-interference ability and the stability of signal reception, and ensuring the reliable operation of the distribution network differential protection system in a complex environment.

[0054] 3. In the present invention, the communication efficiency between nodes in the distribution network system is improved by optimizing the configuration of communication channels. By analyzing the channel gain and interference between nodes, the channel configuration is accurately adjusted, the potential signal interference is reduced, and the communication resources of each node are ensured to be reasonably allocated. By optimizing the bandwidth and transmission efficiency between channels, the communication failures caused by channel congestion or interference are reduced. By integrating the communication channel data of all nodes, the optimal communication channel configuration scheme is generated, which provides more reliable communication guarantee for the distribution network differential protection system and ensures that the system can still operate stably under high load conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0056] Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] Embodiment 1

[0059] See also Figure 1 The present invention provides a technical solution: a distributed differential protection method for a distribution network adapted to a 1.4GIGS communication network, comprising the following steps:

[0060] Step 1: Based on the current and voltage parameters of each node in the distribution network, extract and analyze real-time data, calculate the differences between nodes, screen out qualified nodes by analyzing the difference values, conduct signal reception monitoring, and generate a list of key monitoring nodes;

[0061] Step 2: Based on the list of key monitoring nodes, configure the communication resources of each monitoring node, analyze the interference signals between nodes, screen and eliminate them by calculating the strength and spectrum distribution of the interference signals, and generate a channel gain configuration plan based on the channel gain of the nodes;

[0062] Step 3: Based on the channel gain configuration scheme, the power allocation algorithm is used to optimize the transmission path of the node signal, adjust the signal's time-frequency resource allocation, and generate the transmission path optimization result by real-time monitoring of the signal strength and interference in the transmission path;

[0063] Step 4: Based on the transmission path optimization result, the quality of the node receiving signal is evaluated, the bit error rate in the signal transmission is calculated, and the transmission adjustment is performed by re-encoding the signal exceeding the set threshold to generate the signal reception quality evaluation result;

[0064] Step 5: Based on the signal reception quality evaluation results, the particle swarm optimization algorithm is used to process the interference information in the signal, adjust the signal transmission parameters by rearranging and rotating the interference signal, improve the stability of signal reception, and generate symbol-level interference optimization results;

[0065] Step 6: Based on the symbol-level interference optimization results, make final adjustments to the communication channels of all nodes, comprehensively analyze the channel gain and interference elimination between nodes, select the optimal communication configuration, and generate a comprehensive communication channel configuration plan.

[0066] The specific steps to generate a list of key monitoring nodes are:

[0067] Based on the current and voltage parameters of each node in the distribution network, extract real-time data, perform preliminary calculations on the current and voltage values ​​of each node, compare the change rates of adjacent time points, analyze and record the change trends, and generate node difference basic values;

[0068] Based on the node difference basic value, analyze the historical fluctuation data of each node, perform time series analysis, calculate the fluctuation range and compare it with the current data to obtain the change trend and generate the node difference fluctuation value;

[0069] Based on the node difference fluctuation value, select nodes with fluctuation values ​​within the set range, monitor signal reception, and mark qualified nodes through real-time data update and fluctuation value comparison to generate a list of key monitoring nodes;

[0070] Based on the current and voltage parameters of each node in the distribution network, a sliding window algorithm is used with a window size of 5 seconds to collect and segment the real-time current and voltage data of the nodes. The data in each window is averaged to obtain the average current and voltage values ​​of each time window. By comparing the average change rates of adjacent time windows, difference analysis is performed, the change trend is recorded, and the node difference basic value is generated.

[0071] Based on the node difference basic value, the time series analysis method is used to process the historical fluctuation data of each node. The specific steps include fitting the fluctuation data using the time series model. The model parameters include the autoregressive term p=2, the difference term d=1, and the sliding average term q=2. The fluctuation range is calculated, and the fitted historical fluctuation data is compared with the current real-time data. By calculating the change trend of each node, the node difference fluctuation value is generated;

[0072] Based on the node difference fluctuation value, a conditional screening algorithm is adopted, and the fluctuation value screening threshold is set to ±5%. Nodes with fluctuation values ​​within the range are screened. Then a dynamic monitoring algorithm is used to monitor the signal reception of nodes that meet the conditions. During the monitoring process, the real-time update function is called to update the node fluctuation value every 10 seconds, and the real-time fluctuation value is compared with the historical fluctuation value. Nodes that meet the screening conditions are marked as monitoring nodes, and finally a list of key monitoring nodes is generated.

[0073] The specific steps to generate a channel gain configuration scheme are:

[0074] Based on the list of key monitoring nodes, configure the communication resources of each node, analyze the interference signals between nodes, classify and record the interference signals by comparing the signal strength and spectrum distribution, and generate the interference signal analysis results;

[0075] Based on the interference signal analysis results, filter out interference signals whose signal strength exceeds the threshold, exclude and suppress the interference signals, and generate an interference signal suppression solution by adjusting the signal frequency band;

[0076] Based on the interference signal suppression scheme, the channel gain of each node is comprehensively analyzed, communication resources are adjusted through channel allocation, the channel configuration between nodes is optimized, the stability of signal transmission is ensured, and the channel gain configuration scheme is generated;

[0077] Based on the list of key monitoring nodes, a static resource configuration algorithm is used to first preliminarily allocate bandwidth and time-frequency resources for each node. The channel evaluation function is used to adjust and optimize communication resources by calculating parameters such as signal-to-noise ratio and channel attenuation coefficient, and the configuration parameters are recorded to generate a node communication resource configuration plan.

[0078] Based on the node communication resource configuration scheme, an interference detection algorithm is adopted. By setting the signal strength threshold to -80dBm, the interference signal between nodes is detected using the spectrum analysis function. The specific execution steps include frequency domain transformation of the signal, extracting the spectrum feature value, comparing the spectrum with the expected signal, classifying and recording the detected interference signal, and generating the interference signal analysis result.

[0079] Based on the interference signal analysis results, a signal suppression algorithm is used to screen out interference signals with signal strength exceeding -70dBm, and the frequency band adjustment function is called to adjust the frequency band, including reallocating signal frequency and compressing bandwidth, calculating the suppression coefficient of the interference signal, suppressing the power of the interference signal, and generating an interference signal suppression plan.

[0080] The specific steps to generate the transmission path optimization results are:

[0081] Based on the channel gain configuration scheme, the transmission path of each node is analyzed, the signal transmission path of each node is extracted, and the path is initially adjusted. By calculating the distribution of signal strength on the path, a preliminary path model is established to generate a preliminary transmission path configuration;

[0082] Based on the preliminary transmission path configuration, the power allocation algorithm is used to adjust the allocation of time-frequency resources, analyze the resource requirements of each node, dynamically allocate the signal transmission path by allocating different time-frequency resource segments, monitor the signal utilization on time-frequency resources, and generate a time-frequency resource allocation plan;

[0083] Based on the time-frequency resource allocation scheme, the signal transmission path is optimized, the resource configuration on the path is adjusted, and by comparing the signal strength and interference, the stability of signal transmission is monitored in real time, the path is optimized and adjusted, and the transmission path optimization result is generated;

[0084] Based on the channel gain configuration scheme, the path analysis algorithm is used to analyze the transmission path of each node. The specific steps include using the signal strength evaluation function to calculate the signal strength of the signal transmission path of each node, extracting key path parameters through the distribution of signal strength on the path, establishing a preliminary path model, and making preliminary adjustments to the path based on the model to generate a preliminary transmission path configuration;

[0085] Based on the preliminary transmission path configuration, the power allocation algorithm is used to adjust the time-frequency resources. First, the resource demand analysis function is called to calculate the time-frequency resource demand of each node, and the node's bandwidth occupancy, power requirements and other resource requirements are analyzed. Then, the dynamic allocation function is used to allocate different time-frequency resource segments to each signal transmission path, and the utilization rate of the signal on the time-frequency resources is monitored in real time to generate a time-frequency resource allocation plan.

[0086] Based on the time-frequency resource allocation scheme, a path optimization algorithm is used to make final adjustments to the signal transmission path. The specific steps include real-time monitoring of the signal strength and interference conditions on the path through a signal strength comparison function, adjusting the resource configuration on the path according to the monitoring results, and optimizing the parameter settings of the transmission path through multiple iterations to finally generate the transmission path optimization result.

[0087] The power allocation algorithm is based on the formula:

[0088]

[0089] Where: P i represents the power allocated to the i-th node, h i represents the channel gain of the i-th node, α i represents the dynamic load factor of the i-th node, β irepresents the interference suppression coefficient of the i-th node, γ represents the weight correction factor, P total represents the total power available for allocation, and N represents the total number of nodes;

[0090] Execution process: First, analyze the channel gain h of each node in the distribution network i , evaluate the channel conditions of each node in the 1.4GIGS communication network, and then set the dynamic load factor α according to the importance of each node in the distribution network and the real-time load situation i , to ensure that high-load nodes can obtain more reasonable time-frequency resource allocation, and then calculate the interference suppression coefficient β of each node i , considering the possible interference sources and environmental factors in the 1.4GIGS communication network, it ensures that nodes in high interference environments can also maintain stable communication. Finally, by introducing the weight correction factor γ, according to the historical operation data or simulation test results, the overall power distribution is fine-tuned to make it more suitable for the characteristics of the 1.4GIGS network and the protection requirements of the distribution network, ensuring that the sum of the power distribution of each node meets the total power P total constraints, dynamically allocate the optimal signal transmission path, and effectively monitor and manage the utilization of time and frequency resources.

[0091] The specific steps for generating the signal reception quality evaluation result are:

[0092] Based on the transmission path optimization results, the quality of the signal received by each node is evaluated, the relevant parameters of the received signal are extracted, the bit error rate of each node is calculated, and by comparing the bit error rate with the set threshold, the signals with bit error rates exceeding the standard are screened out to generate the bit error rate analysis results;

[0093] Based on the bit error rate analysis results, the signal with bit error rate exceeding the standard is re-encoded. By analyzing the coding structure of the signal, the coding parameters are reset, and the signal is re-encoded to ensure the transmission accuracy of the signal and generate a re-encoded signal set;

[0094] Based on the re-encoded signal set, the re-encoded signal transmission path is adjusted, the transmission efficiency of the signal on the path is analyzed, the stability of the signal transmission is ensured by fine-tuning the path, and the signal reception quality evaluation result is generated;

[0095] Based on the transmission path optimization results, the bit error rate calculation algorithm is used to evaluate the quality of the signal received by each node. First, the signal parameter extraction function is called to extract the key parameters of the received signal, including signal strength, phase, frequency, etc. Then, the bit error rate calculation function is used to calculate the bit error rate of each node. By comparing the calculated bit error rate with the preset threshold, the signals with bit error rates exceeding the standard are screened out to generate the bit error rate analysis results.

[0096] Based on the bit error rate analysis results, the signal recoding algorithm is used to recode the signal with bit error rate exceeding the standard. First, the coding structure analysis function is called to analyze the coding structure of the original signal, determine the coding type and coding parameters, and then reset the coding parameters, including modifying the coding rate and coding mode. The signal is recoded through the coding execution function to generate a recoded signal set.

[0097] Based on the re-encoded signal set, the path adjustment algorithm is used to adjust the re-encoded signal transmission path. First, the transmission efficiency analysis function is called to analyze the transmission efficiency of the signal on the path. The specific steps include calculating the delay and bandwidth utilization of the path, and performing comparison and fine-tuning at the same time. The path fine-tuning function is called to optimize and adjust the signal transmission path to generate a signal reception quality evaluation result.

[0098] The specific steps to generate symbol-level interference optimization results are:

[0099] Based on the signal reception quality assessment results, the interference information in the received signal is extracted, the signal amplitude and phase are decomposed, the frequency components of the signal are analyzed, and the interference strength of each component is compared. The interference components are classified and marked at the same time to generate an interference signal component table;

[0100] Based on the interference signal component table, the particle swarm optimization algorithm is used to rearrange the marked interference signals, and the frequency and intensity distribution of the interference components are adjusted to optimize the signal spectrum structure. Combined with the phase rotation operation, the relative positions between the signals are adjusted to generate the interference signal adjustment results.

[0101] Based on the interference signal adjustment results, the signal transmission parameters are optimized, and the transmission path of each node is adjusted by reconfiguring the signal power, bandwidth and phase to generate symbol-level interference optimization results;

[0102] Based on the signal reception quality assessment results, the interference decomposition algorithm is used to process the interference information in the received signal. First, the signal amplitude decomposition function and the signal phase decomposition function are called to decompose the amplitude and phase of the signal respectively, and the signal is decomposed into multiple frequency components. Then, the frequency component analysis function is used to analyze the interference intensity of each frequency component. The interference components are classified by comparing the interference intensity. At the same time, the interference marking function is called to mark different types of interference signals to generate an interference signal component table.

[0103] Based on the interference signal component table, the particle swarm optimization algorithm is used to rearrange the marked interference signals. First, the frequency adjustment function is called to adjust the frequency of each interference component. During the adjustment process, the frequency distribution is optimized according to the interference intensity. Then, the phase rotation function is used to adjust the relative position of the signal. Combined with the frequency and intensity distribution of the interference signal, the spectrum structure of the signal is optimized, and finally the interference signal adjustment result is generated.

[0104] Based on the interference signal adjustment result, the transmission parameter optimization algorithm is used to optimize the transmission parameters of the signal. First, the power configuration function is called to reconfigure the transmission power of the signal. Then, the bandwidth adjustment function is used to reallocate the bandwidth of the signal. The phase configuration function is used to adjust the phase of the signal. Finally, the transmission path of each node is optimized and adjusted to generate the symbol-level interference optimization result.

[0105] Particle swarm optimization algorithm, according to the formula:

[0106]

[0107] Where: v i (t+1) is the velocity of the ith particle at time t+1, v i (t) is the velocity of the ith particle at time t, w is the inertia weight, c1 is the individual acceleration factor, r1 is a random number in the interval [0, 1], is the historical optimal position of the ith particle, c2 is the social acceleration factor, r2 is a random number in the interval [0, 1], g best is the global optimal position, α is the adjustment coefficient, f i (t) is a function of interference signal strength and frequency correlation, is the component characteristic parameter;

[0108] Execution process: First, by calculating the current particle speed v i (t) and inertia weight w are used to adjust the dynamic characteristics of particles, ensuring that in the distributed differential protection system, particles can accurately reflect the current, voltage and other state parameters of the distribution network in the communication network and avoid excessive fluctuations. The individual acceleration factor c1 and the social acceleration factor c2 are used to influence the particles to their historical optimal positions. and the global optimal position g best The movement trend of the random numbers r1 and r2 combined with the random disturbances introduced ensures that the algorithm has good global search capabilities in the distributed system and can quickly converge to the optimal protection strategy. is introduced, where the adjustment coefficient α is used to control the impact of additional disturbances. By adjusting the frequency and intensity distribution of the signal interference component, the performance of the distribution network differential protection is optimized. It can be determined by experiments or historical data analysis to ensure its applicability in the 1.4GIGS communication network. The function f i (t) By describing the temporal variation characteristics of the interference signal, it can adapt to the time-varying signals in the communication network. The characteristic parameters The interference signal component with the best correlation with the target signal is reflected to ensure the accuracy and response speed of the distributed differential protection method, and calculate the particle velocity v at the next time step. i (t+1), determines the adjustment direction of the particle protection decision in the network, ensuring a fast and accurate response to changes in network status.

[0109] The specific steps to generate a comprehensive communication channel configuration scheme are:

[0110] Based on the symbol-level interference optimization results, the communication channels of all nodes are analyzed, the channel gain data between nodes are extracted, and the channel performance of each node is compared and screened in combination with the interference elimination information to generate channel gain and interference data;

[0111] Based on the channel gain and interference data, the communication channel is adjusted, and by analyzing the bandwidth and transmission efficiency between channels, the communication resources of each node are reallocated, the channel configuration is optimized to reduce interference, and the channel configuration adjustment result is generated;

[0112] Based on the channel configuration adjustment results, the communication channel conditions of all nodes are integrated to adjust the allocation of communication resources, and a comprehensive communication channel configuration plan is generated according to the channel gain and interference elimination effect;

[0113] Based on the symbol-level interference optimization results, the channel analysis algorithm is used to analyze the communication channels of all nodes in detail. First, the channel gain extraction function is called to extract the channel gain data between nodes. Then, the interference elimination analysis function is used to combine the interference elimination information to compare the channel performance of each node. By comparing the channel gain and interference elimination effects, the channel gain and interference data are generated.

[0114] Based on the channel gain and interference data, the channel configuration adjustment algorithm is used to adjust the communication channel. First, the bandwidth analysis function is called to analyze the bandwidth usage between each channel, and then the transmission efficiency calculation function is used to evaluate the transmission efficiency of each channel. By reallocating the communication resources of each node, the channel configuration is optimized and adjusted to reduce interference and generate the channel configuration adjustment result.

[0115] Based on the channel configuration adjustment results, a comprehensive channel configuration algorithm is used to comprehensively analyze the communication channel conditions of all nodes. First, the resource allocation function is called to reallocate the communication resources, and a comprehensive analysis is performed based on the channel gain and interference elimination effect to finally generate a comprehensive communication channel configuration plan.

[0116] See also Figure 2 A distributed differential protection system for a distribution network adapted to a 1.4GIGS communication network is used to execute the above-mentioned distributed differential protection method for a distribution network adapted to a 1.4GIGS communication network. The system comprises:

[0117] Node monitoring module: Based on the current and voltage parameters of each node in the distribution network, extract and analyze real-time data, calculate the differences between nodes, determine the nodes that meet the conditions, analyze the change trends and record the change data, and establish a list of key monitoring nodes;

[0118] Channel configuration module: Based on the list of key monitoring nodes, configure the communication resources of each node, analyze the interference signals between nodes, screen and eliminate the interference signals by comparing the signal strength and spectrum distribution, and generate the channel gain configuration plan according to the channel gain of the node;

[0119] Path optimization module: Based on the channel gain configuration scheme, the signal transmission path of each node is extracted, the distribution of signal strength on the path is calculated, the path is adjusted, time-frequency resource segments are dynamically allocated, the utilization rate of signal transmission is monitored, and the transmission path optimization results are generated;

[0120] Signal quality assessment module: Based on the transmission path optimization results, analyze the relevant parameters of the node receiving signal, calculate and compare the bit error rate of each node, filter out the signals with excessive bit error rate, re-encode them, adjust the transmission path, and establish a signal reception quality report;

[0121] Interference optimization module: Based on the signal reception quality report, it extracts the information of the interference signal, decomposes the signal amplitude and phase, analyzes the signal frequency components and interference intensity, classifies and marks the interference components, rearranges the interference signal and optimizes the signal's spectrum structure to generate interference signal optimization results;

[0122] Channel adjustment module: Based on the interference signal optimization results, analyze the channel gain data between nodes, combine the interference elimination information, readjust the communication channel, optimize the channel configuration and reduce interference, and generate a channel configuration adjustment plan;

[0123] Comprehensive configuration module: Based on the channel configuration adjustment plan, the communication channels of all nodes are finally adjusted. By reallocating communication resources, the channel gain and interference elimination effects between comprehensive nodes are integrated to establish a comprehensive communication channel configuration plan.

[0124] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A distributed differential protection method for a distribution network adapted to a 1.4GIGS communication network, characterized in that: The following steps are involved: Step 1: Based on the current and voltage parameters of each node in the distribution network, extract and analyze real-time data, calculate the differences between nodes, screen out qualified nodes by analyzing the difference values, conduct signal reception monitoring, and generate a list of key monitoring nodes; Step 2: Based on the list of key monitoring nodes, configure the communication resources of each monitoring node, analyze the interference signals between nodes, screen and exclude them by calculating the strength and spectrum distribution of the interference signals, and generate a channel gain configuration plan based on the channel gain of the comprehensive nodes; Step 3: Based on the channel gain configuration scheme, a power allocation algorithm is used to optimize the transmission path of the node signal, adjust the time-frequency resource allocation of the signal, and generate a transmission path optimization result by real-time monitoring of the signal strength and interference in the transmission path; Step 4: Based on the transmission path optimization result, the quality of the node received signal is evaluated, the bit error rate in the signal transmission is calculated, and the transmission adjustment is performed by re-encoding the signal exceeding the set threshold to generate a signal reception quality evaluation result; Step 5: Based on the signal reception quality evaluation result, a particle swarm optimization algorithm is used to process the interference information in the signal, and the signal transmission parameters are adjusted by rearranging and rotating the interference signal to improve the stability of signal reception and generate a symbol-level interference optimization result; Step 6: Based on the symbol-level interference optimization results, make final adjustments to the communication channels of all nodes, comprehensively analyze the channel gains and interference elimination between nodes, select the optimal communication configuration, and generate a comprehensive communication channel configuration solution.

2. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1 is characterized in that: The specific steps of generating the key monitoring node list are: Based on the current and voltage parameters of each node in the distribution network, extract real-time data, perform preliminary calculations on the current and voltage values ​​of each node, compare the change rates of adjacent time points, analyze and record the change trends, and generate node difference basic values; Based on the node difference basic value, analyze the historical fluctuation data of each node, perform time series analysis, calculate the fluctuation range and compare it with the current data to obtain the change trend and generate the node difference fluctuation value; Based on the node difference fluctuation value, the nodes with fluctuation values ​​within the set range are screened for signal reception monitoring. By comparing the real-time data update with the fluctuation value, the nodes that meet the conditions are marked and a list of key monitoring nodes is generated.

3. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1 is characterized in that: The specific steps of generating the channel gain configuration scheme are: Based on the key monitoring node list, configure the communication resources of each node, analyze the interference signals between the nodes, classify and record the interference signals by comparing the signal strength and the spectrum distribution, and generate the interference signal analysis results; Based on the interference signal analysis results, filter interference signals whose signal strength exceeds a threshold, exclude and suppress the interference signals, and generate an interference signal suppression scheme by adjusting the signal frequency band; Based on the interference signal suppression scheme, the channel gain of each node is comprehensively analyzed, communication resources are adjusted through channel allocation, the channel configuration between nodes is optimized, the stability of signal transmission is ensured, and a channel gain configuration scheme is generated.

4. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1 is characterized in that: The specific steps of generating the transmission path optimization result are: Based on the channel gain configuration scheme, the transmission path of each node is analyzed, the signal transmission path of each node is extracted, and a preliminary adjustment of the path is performed. A preliminary path model is established by calculating the distribution of signal strength on the path, and a preliminary transmission path configuration is generated; Based on the preliminary transmission path configuration, a power allocation algorithm is used to adjust the allocation of time-frequency resources, analyze the resource requirements of each node, dynamically allocate the transmission path of the signal by allocating different time-frequency resource segments, monitor the utilization of the signal on the time-frequency resources, and generate a time-frequency resource allocation plan; Based on the time-frequency resource allocation scheme, the signal transmission path is optimized, the resource configuration on the path is adjusted, and by comparing the signal strength and interference conditions, the stability of the signal transmission is monitored in real time, the path optimization adjustment is completed, and the transmission path optimization result is generated.

5. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1 is characterized in that: The power allocation algorithm is based on the formula: Where: P i represents the power allocated to the i-th node, h i represents the channel gain of the i-th node, α i represents the dynamic load factor of the i-th node, β i represents the interference suppression coefficient of the i-th node, γ represents the weight correction factor, P total represents the total power available for allocation, and N represents the total number of nodes.

6. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1 is characterized in that: The specific steps of generating the signal reception quality evaluation result are: Based on the transmission path optimization result, the quality of the signal received by each node is evaluated, the relevant parameters of the received signal are extracted, the bit error rate of each node is calculated, and the signals with bit error rates exceeding the standard are screened out by comparing the bit error rate with a set threshold, and a bit error rate analysis result is generated; Based on the bit error rate analysis result, the signal with the bit error rate exceeding the standard is re-encoded, the coding structure of the signal is analyzed, the coding parameters are reset, the signal is re-encoded to ensure the transmission accuracy of the signal, and a re-encoded signal set is generated; Based on the re-encoded signal set, the re-encoded signal transmission path is adjusted, the transmission efficiency of the signal on the path is analyzed, the path is fine-tuned to ensure the stability of signal transmission, and a signal reception quality evaluation result is generated.

7. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1 is characterized in that: The specific steps of generating the symbol level interference optimization result are: Based on the signal reception quality assessment results, the interference information in the received signal is extracted, the signal amplitude and phase are decomposed, the frequency components of the signal are analyzed, and the interference strength of each component is compared. The interference components are classified and marked at the same time to generate an interference signal component table; Based on the interference signal component table, the particle swarm optimization algorithm is used to rearrange the marked interference signals, and the frequency and intensity distribution of the interference components are adjusted to optimize the signal spectrum structure. Combined with the phase rotation operation, the relative positions between the signals are adjusted to generate the interference signal adjustment results. Based on the interference signal adjustment results, the signal transmission parameters are optimized, and the transmission path of each node is adjusted by reconfiguring the signal power, bandwidth and phase to generate symbol-level interference optimization results.

8. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1, characterized in that: The particle swarm optimization algorithm is based on the formula: Where: v i (t+1) is the velocity of the ith particle at time t+1, v i (t) is the velocity of the ith particle at time t, w is the inertia weight, c1 is the individual acceleration factor, r1 is a random number in the interval [0, 1], is the historical optimal position of the ith particle, c2 is the social acceleration factor, r2 is a random number in the interval [0, 1], g best is the global optimal position, α is the adjustment coefficient, f i (t) is a function of interference signal strength and frequency correlation, is the component characteristic parameter.

9. The distributed differential protection method for distribution network adapted to 1.4GIGS communication network according to claim 1, characterized in that: The specific steps of generating the comprehensive communication channel configuration scheme are: Based on the symbol-level interference optimization result, the communication channels of all nodes are analyzed, the channel gain data between the nodes are extracted, the channel performance of each node is compared and screened in combination with the interference elimination information, and the channel gain and interference data are generated; Based on the channel gain and interference data, the communication channel is adjusted, and by analyzing the bandwidth and transmission efficiency between the channels, the communication resources of each node are reallocated, the channel configuration is optimized to reduce interference, and a channel configuration adjustment result is generated; Based on the channel configuration adjustment result, the communication channel conditions of all nodes are comprehensively considered, the allocation of communication resources is adjusted, and a comprehensive communication channel configuration scheme is generated according to the channel gain and interference elimination effect.

10. A distributed differential protection system for distribution network adapted to 1.4GIGS communication network, characterized in that: According to any one of claims 1 to 9, the distributed differential protection method for distribution network adapted to the 1.4GIGS communication network comprises: Node monitoring module: based on the current and voltage parameters of each node of the distribution network, extract and analyze real-time data, calculate the differences between nodes, determine the nodes that meet the conditions, and establish a list of key monitoring nodes by analyzing the change trend and recording the change data; Channel configuration module: Based on the key monitoring node list, configure the communication resources of each node, analyze the interference signals between nodes, screen and eliminate the interference signals by comparing the signal strength and spectrum distribution, and generate a channel gain configuration plan according to the channel gain of the node; Path optimization module: based on the channel gain configuration scheme, extract the signal transmission path of each node, adjust the path by calculating the distribution of signal strength on the path, dynamically allocate time-frequency resource segments, monitor the utilization rate of signal transmission, and generate transmission path optimization results; Signal quality evaluation module: Based on the transmission path optimization result, the relevant parameters of the node receiving signal are analyzed, the bit error rate of each node is calculated and compared, and the signal with excessive bit error rate is screened out, re-encoded, and the transmission path is adjusted to establish a signal reception quality report; Interference optimization module: based on the signal reception quality report, extract information of interference signals, decompose signal amplitude and phase, analyze signal frequency components and interference strength, classify and mark interference components, rearrange interference signals and optimize signal spectrum structure, and generate interference signal optimization results; Channel adjustment module: based on the interference signal optimization result, analyzes the channel gain data between nodes, combines the interference elimination information, readjusts the communication channel, optimizes the channel configuration and reduces the interference, and generates a channel configuration adjustment plan; Comprehensive configuration module: Based on the channel configuration adjustment scheme, the communication channels of all nodes are finally adjusted, and a comprehensive communication channel configuration scheme is established by reallocating communication resources and integrating the channel gain and interference elimination effects between nodes.

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