Method and system for switching-on interlocking automatic control
Through intelligent perception network and logical judgment, dynamic control of closing and power is solved, the problem of poor flexibility in traditional closing interlock control is solved, and the automation and safety of the power system is improved.
Patent Information
- Application Number
- CN202510566080.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-30
- Publication Date
- 2025-08-05
AI Technical Summary
Traditional closing interlock control relies on manual operation and has poor flexibility and cannot sense the equipment status and environmental parameters of the power system in real time, resulting in operation errors and equipment failures.
Build an intelligent perception network for data acquisition and analysis, dynamically regulate the closing and power-on control through logical judgment and load optimization, and combine the parameter fault diagnosis model for abnormal diagnosis and control.
It improves the flexibility and safety of the closing interlocking system, ensures the stable operation of the power system, reduces manual dependence, and realizes automatic closing control.
Smart Images
Figure CN120433437A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of closing interlock control, and in particular to a method and system for automatic closing interlock control. Background Art
[0002] In power systems, the safety of closing operations is of vital importance. Traditional closing interlocking controls mostly rely on simple manual operation of mechanical interlocking devices or electrical interlocking devices. However, manual operation is easily affected by factors such as the operator's professional level or working status, and is prone to operational errors. In addition, simple mechanical interlocking has poor flexibility and cannot cope with the complex and changeable operating conditions of power systems. Traditional electrical interlocking is mainly based on fixed logic circuits, and has limited ability to collect and process information from various sensors. It cannot perceive information such as equipment status and environmental parameters in the power system in real time, and cannot accurately determine the actual timing of closing the circuit, which may cause equipment failure or affect power supply. Summary of the Invention
[0003] The object of the present invention is to provide a method and system for automatic control of closing interlocking, so as to solve the problems raised in the prior art.
[0004] To achieve the above object, the present invention provides the following technical solutions:
[0005] A method for automatic control of closing interlocking, the method comprising the following steps:
[0006] By building an intelligent sensing network, the target line equipment node parameters and corresponding operating environment data are collected;
[0007] The target line operating conditions are judged based on the collected data, and a pre-closing signal is output based on the judgment result; the closing logic control terminal receives the pre-closing signal, and analyzes the target line load status data based on the corresponding load demand of the target line to determine the target line closing control data; based on the target line operating demand data, the optimal closing and power-on control scheme is analyzed for the current target line, and the optimal closing and power-on control scheme is output; a parameter fault diagnosis model is set to perform parameter judgment on the operating equipment node, and the target line closing scheme is dynamically adjusted based on the judgment result.
[0008] Furthermore, by deploying sensor devices on target lines to build an intelligent sensing network, a set of target lines to be monitored is determined, and the operating environment data of the device nodes on each target line in the set is collected in real time, and an operating environment data set of the corresponding device nodes is built; the operating environment data includes temperature, humidity, vibration, etc.; the corresponding sensor devices are temperature sensors, humidity sensors, vibration sensors, etc.;
[0009] By retrieving the operation log data of each device node on each target line, the operation parameter data of each device node at the last time point is determined, and an operation status parameter data set of the corresponding device node is constructed; the operation parameters include current, voltage, resistance and other data.
[0010] Furthermore, based on the operating environment data set and operating status parameter data set corresponding to each equipment node on each target line, each data in the corresponding set is retrieved and compared with the preset operating parameter range of the equipment to determine whether the corresponding environmental data and status parameters of the equipment on the current target line meet the operating requirements; wherein the preset operating parameter range of the equipment is the normal range of each environmental data and status parameter when the corresponding equipment can operate normally; the operating environment data and operating status parameters of the equipment nodes that meet the operating requirements are marked as normal; and the operating environment data and operating status parameters corresponding to the equipment that does not meet the operating requirements are marked as abnormal;
[0011] The operating environment data and operating status parameters of the device nodes are continuously judged to be true or false through the logical judgment end; the operating environment data and operating status parameters marked as normal are true, and the operating environment data and operating status parameters marked as abnormal are false; based on the continuous true or false judgment results of the operating environment data and operating status parameters of each device node, the device nodes judged to be true are marked as normal; the device nodes judged to be false are marked as abnormal; the target line with all device nodes marked as normal is marked as normal, and a pre-closing signal is output; the target line with a device node marked as abnormal is marked as abnormal, no pre-closing signal is output, and a warning signal is output.
[0012] Furthermore, the closing logic control terminal receives the pre-closing signal of each target line, determines the connection line nodes between each target line, and obtains the adjacent connection relationship between each target line; obtains the rated capacity of the transformer and the load of each device on each target line respectively; wherein the rated capacity of the transformer is the rated load power of the line, and the load of the device is the load power of the device; by performing load analysis on the adjacent connected target lines respectively, judging the load status of the adjacent connected target lines according to the analysis data, and determining the closing and power-on management control between the adjacent connected target lines; it analyzes the load rate of the equipment on each target line respectively, and classifies the load rate of each target line according to the load rate of each target line. Analyze data, set judgment parameters to judge the load rate of each target line, and determine the load status of each target line; wherein the load status includes overload, heavy load and light load; by setting the overload judgment threshold and the heavy load judgment threshold, if the load rate of the target line is greater than or equal to the overload judgment threshold, it is judged that the line is overloaded, and an alarm is issued to the overloaded line; if the load rate of the target line is less than the overload judgment threshold and greater than or equal to the heavy load judgment threshold, it is judged that the line is overloaded; if the load rate of the target line is less than the heavy load judgment threshold, it is judged that the line is lightly loaded; when the target line is in the heavy load and light load states, the line state is only recorded without an alarm; wherein the load rate of each target line is calculated as follows:
[0013] ;
[0014] Where LF(n) corresponds to the load rate of the target line numbered n; P load (n) corresponds to the actual load power of the target line numbered n; P rated (n) is the rated load power of the target line numbered n; n is the target line number; the actual load power on each target line is the sum of the load powers of the equipment on each target line;
[0015] The load rates of adjacent target lines connected to heavy-load and light-load target lines are compared. According to the comparison results, between adjacent target lines, the target line with a smaller load rate is the current output end, and the target line with a larger load rate is the current input end, and the adjacent target lines are energized. By setting restriction conditions, abnormalities are judged during the input and output current of the adjacent target lines. The setting process of the restriction conditions is specifically as follows: by respectively calculating the rated current and the actual load current on the adjacent target lines, conditional restrictions are imposed based on the rated current data and the actual load current data on the adjacent target lines. The rated current of the target line corresponding to the current output end between the adjacent target lines must be greater than or equal to the sum of the actual load currents on the adjacent target lines. The rated current data and load current data of each target line are calculated as follows:
[0016] ; ;
[0017] Among them, I rated (n) and I load (n) corresponds to the rated current and actual load current of the target line numbered n; U rated (n) and U load (n) corresponds to the rated voltage and actual load voltage of the target line numbered n respectively; based on the analysis results of the rated current data and actual load current data of the corresponding adjacent connected target line, combined with the restriction conditions, an abnormality judgment is made on the input and output current process between the adjacent connected target lines. If the restriction conditions are not met, the adjacent connected lines are energized and disconnected to terminate the current input and output, and a warning is issued; otherwise, no action is taken;
[0018] By retrieving the operation demand data between the current target lines, based on the current operation demand data of each target line, using the line closing random simulation to output a comprehensive line plan of closing and energizing that meets the current operation demand of each target line; based on the comprehensive line plan, iterative optimization of the load rate is performed, which determines the local target line corresponding to the maximum local load rate in the comprehensive line plan as the starting line for the load rate iteration of the comprehensive line plan, and determines the number of local target lines adjacent to the starting line respectively. If the number is two or more, the load rate iterative optimization process is performed to complete one iteration; wherein the load rate iterative optimization process is to disconnect the non-critical local target lines under the condition that the operation demand of each local target line is met in the comprehensive line plan; wherein the non-critical local target line refers to the line that has no effect on the operation demand in the comprehensive line plan, or there are multiple operation demand functions When the lines are the same, the line with the higher load rate; the local target line refers to each local target line in the combined comprehensive line scheme; by continuously iterating the local target lines connected adjacent to the starting line in the comprehensive line scheme, until the local target lines in the comprehensive line scheme are fully traversed and iterated, the comprehensive line scheme corresponding to the minimum load rate after the full traversal iteration is determined, and the optimal closing and energizing control scheme of the iterated comprehensive line scheme is output; the continuous iteration of the local target lines connected adjacent to the starting line refers to the continuous iteration of the local target lines connected adjacent to the local lines retained after one iteration, and so on until the full traversal iteration of each local target line in the comprehensive line scheme is completed; the non-critical local target lines to be optimized are not subjected to subsequent iterative processing; the calculation of the iterative analysis of the comprehensive line scheme is
[0019] ;
[0020] Among them, LF min is the minimum load rate corresponding to the comprehensive line solution after full traversal iteration; ΔPload (j) and ΔP rated (j) corresponds to the actual load power and rated load power of the optimized local target line corresponding to the j-th iteration; m is the number of local target lines; k is the number of iterations.
[0021] Furthermore, a warning instruction feedback is given to the target line with abnormality and the corresponding abnormal device node; wherein the target line and device node with abnormality do not participate in the operation implementation;
[0022] The comprehensive line plan after full traversal iteration is output, and the closing and power-on control plan in the comprehensive line plan is executed; by constructing a parameter fault diagnosis model for each local target line equipment node, the operating parameter abnormality diagnosis is performed. When there are abnormal lines or abnormal equipment nodes in the comprehensive line plan, the simulation and load rate iterative optimization processing of the comprehensive line plan are repeated, and a new closing and power-on control plan is output and executed; the parameter fault diagnosis model is an artificial construction of the corresponding parameter normal operating range for the operating equipment parameters and line parameters based on the operation requirements. When the equipment or line operating parameters do not belong to the normal range, it is judged as abnormal.
[0023] A system for automatic control of closing interlocking, comprising a multi-source data acquisition module, a logic judgment module, a load optimization module and a solution output module;
[0024] The multi-source data acquisition module collects the target line equipment node parameters and corresponding operating environment data by building an intelligent perception network; the logic judgment module judges the target line operating conditions based on the collected data, and outputs a pre-closing signal based on the judgment result; the load optimization module receives the pre-closing signal, and analyzes the target line load status data based on the corresponding load demand of the target line to determine the target line closing control data; based on the target line operating demand data, the optimal closing plan is analyzed for the current target line, and the optimal closing plan instruction is output; the plan output module provides warning feedback to abnormal target lines and abnormal equipment nodes, and executes the optimal closing plan; a parameter fault diagnosis model is set to judge the parameters of the operating equipment nodes, and the target line closing plan is dynamically adjusted according to the judgment result.
[0025] Furthermore, the multi-source data acquisition module includes an operating environment data acquisition unit and an equipment parameter retrieval unit;
[0026] The operating environment data collection unit constructs an intelligent sensing network by deploying sensor devices on the target lines, determines a set of target lines to be monitored, collects the operating environment data of the device nodes on each target line in the set in real time, and constructs an operating environment data set for the corresponding device nodes;
[0027] The device parameter retrieving unit retrieves the operation log data of each device node on each target line, determines the operation parameter data of each device node at the last time point, and constructs an operation status parameter data set of the corresponding device node.
[0028] Furthermore, the logic judgment module includes an abnormal data marking unit and a logic judgment unit;
[0029] The abnormal data marking unit is based on the operating environment data set and operating status parameter data set corresponding to each equipment node on each target line, and respectively retrieves each data in the corresponding set and compares it with the preset operating parameter range of the equipment to determine whether the corresponding environmental data and status parameters of the equipment on the current target line meet the operating requirements; the operating environment data and operating status parameters of the equipment nodes that meet the operating requirements are marked as normal; and the operating environment data and operating status parameters corresponding to the equipment that does not meet the operating requirements are marked as abnormal;
[0030] The logic judgment unit performs continuous truth-false judgment on the operating environment data and operating status parameters of the device nodes through the logic judgment end; the operating environment data and operating status parameters marked as normal are true, and the operating environment data and operating status parameters marked as abnormal are false; based on the continuous truth-false judgment results of the operating environment data and operating status parameters of each device node, the device nodes judged to be true are marked as normal; the device nodes judged to be false are marked as abnormal; the target line with all device nodes marked as normal is marked as normal, and a pre-closing signal is output; the target line with a device node marked as abnormal is marked as abnormal, no pre-closing signal is output, and a warning signal is output.
[0031] Furthermore, the load optimization module includes a line load state analysis unit and a closing iterative optimization processing unit;
[0032] The closing logic control end of the line load state analysis unit receives the pre-closing signal of each target line, determines the connection line node between each target line, and obtains the adjacent connection relationship between each target line; obtains the rated capacity of the transformer and the load of each equipment on each target line respectively; performs load analysis on the adjacent connected target lines respectively, judges the load state of the adjacent connected target lines according to the analysis data, and determines the closing and energizing management control between the adjacent connected target lines; analyzes the equipment load rate on each target line respectively, sets judgment parameters to judge the load rate of each target line according to the load rate analysis data of each target line, and determines the load state of each target line; wherein the load state includes overload, heavy load and light load; compares the load rates of adjacent connected target lines for target lines that are under heavy load and light load, and according to the comparison results, between adjacent connected target lines, the target line with a smaller load rate is the current output end, and the target line with a larger load rate is the current input end, and performs closing and energizing processing on the adjacent connected target lines; and judges abnormalities in the input and output current process of adjacent connected target lines by setting restriction conditions;
[0033] The closing iterative optimization processing unit retrieves the operation demand data between the current target lines, and based on the current operation demand data of each target line, uses line closing random simulation to output a comprehensive line plan for closing and energizing that meets the current operation requirements of each target line; performs load rate iterative optimization based on the comprehensive line plan, by determining the local target line corresponding to the maximum local load rate in the comprehensive line plan as the starting line for load rate iteration of the comprehensive line plan, and respectively determining the number of local target lines adjacent to the starting line. If the number is two or more, a load rate iterative optimization process is performed to complete one iteration; wherein the load rate iterative optimization process is to disconnect non-critical local target lines under the condition that the operation requirements of each local target line are met in the comprehensive line plan; by continuously iterating the local target lines adjacent to the starting line in the comprehensive line plan until all local target lines in the comprehensive line plan are fully traversed and iterated, the comprehensive line plan corresponding to the minimum load rate after the full traversal and iteration is determined, and the optimal closing and energizing control plan for the iterated comprehensive line plan is output.
[0034] Furthermore, the scheme output module includes an abnormality feedback unit and a closing control execution unit;
[0035] The abnormality feedback unit provides warning instruction feedback to the target line with abnormality and the corresponding abnormal device node;
[0036] The closing control execution unit outputs the comprehensive line plan after full traversal iteration and executes the closing and power-on control plan in the comprehensive line plan; by constructing a parameter fault diagnosis model for each local target line equipment node, operating parameter abnormality diagnosis is performed. When there are abnormal lines or abnormal equipment nodes in the comprehensive line plan, the simulation of the comprehensive line plan and the load rate iterative optimization process are repeated, and a new closing and power-on control plan is output and executed.
[0037] Compared with the prior art, the present invention has the following beneficial effects:
[0038] The present invention combines a series of analyses such as line operation data collection, logical judgment, optimization iteration, closing control and fault regulation to realize automatic closing control of the target circuit; the present invention determines the abnormal state of the line and equipment by performing state and logical judgment on the line parameters and equipment parameters, and outputs a pre-closing signal based on the judgment result; secondly, the closing control end performs load analysis and restriction condition analysis on the line based on the pre-closing signal to determine the power-on control between the lines; subsequently, the line operation simulation is performed based on the operation requirements, and the optimal closing and power-on scheme is analyzed through iterative optimization; dynamic regulation of the line closing and power-on scheme is realized through the equipment fault diagnosis model; the present invention improves the situation where traditional mechanical interlocking relies on manual labor and improves the flexibility of closing control; at the same time, the closing scheme is optimized and regulated in combination with the information of each device in the line and the environmental data; the present invention improves the manual dependence of traditional interlocking, improves the flexibility of the closing interlocking system, and effectively guarantees the operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 This is a structural diagram of a system for automatic control of closing interlocking according to the present invention;
[0040] Figure 2 The figure is a flow chart of a method for automatic control of closing interlocking according to the present invention. DETAILED DESCRIPTION
[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0042] Example: Figure 1 As shown, the present invention provides a technical solution:
[0043] A system for automatic control of closing interlocking, comprising a multi-source data acquisition module, a logic judgment module, a load optimization module and a solution output module;
[0044] Among them, the multi-source data acquisition module collects the target line equipment node parameters and corresponding operating environment data by building an intelligent perception network; the logic judgment module judges the target line operating conditions based on the collected data, and outputs a pre-closing signal based on the judgment result; the load optimization module receives the pre-closing signal, and analyzes the target line load status data based on the corresponding load demand of the target line, and determines the target line closing control data; based on the target line operation demand data, the best closing plan is analyzed for the current target line, and the best closing plan instruction is output; the plan output module provides warning feedback to abnormal target lines and abnormal equipment nodes, and executes the best closing plan; a parameter fault diagnosis model is set to judge the parameters of the operating equipment nodes, and the target line closing plan is dynamically adjusted according to the judgment result.
[0045] Furthermore, the multi-source data acquisition module includes an operating environment data acquisition unit and an equipment parameter retrieval unit;
[0046] The operating environment data acquisition unit builds an intelligent perception network by deploying sensor devices on the target lines, determines the target line set to be monitored, collects the operating environment data of the device nodes on each target line in the set in real time, and builds the operating environment data set of the corresponding device nodes;
[0047] The device parameter retrieving unit retrieves the operation log data of each device node on each target line, determines the operation parameter data of each device node at the last time point, and constructs an operation status parameter data set of the corresponding device node.
[0048] Furthermore, the logic judgment module includes an abnormal data marking unit and a logic judgment unit;
[0049] The abnormal data marking unit is based on the operating environment data set and operating status parameter data set corresponding to each equipment node on each target line, and respectively retrieves each data in the corresponding set and compares it with the preset operating parameter range of the equipment to determine whether the corresponding environmental data and status parameters of the equipment on the current target line meet the operating requirements; the operating environment data and operating status parameters of the equipment nodes that meet the operating requirements are marked as normal; the operating environment data and operating status parameters corresponding to the equipment that does not meet the operating requirements are marked as abnormal;
[0050] The logic judgment unit performs continuous true and false judgment on the operating environment data and operating status parameters of the device nodes through the logic judgment end; the operating environment data and operating status parameters marked as normal are true, and the operating environment data and operating status parameters marked as abnormal are false; based on the continuous true and false judgment results of the operating environment data and operating status parameters of each device node, the device nodes judged to be true are marked as normal; the device nodes judged to be false are marked as abnormal; the target line with all device nodes marked as normal is marked as normal, and a pre-closing signal is output; the target line with a device node marked as abnormal is marked as abnormal, no pre-closing signal is output, and a warning signal is output.
[0051] Furthermore, the load optimization module includes a line load status analysis unit and a closing iterative optimization processing unit;
[0052] The closing logic control end of the line load state analysis unit receives the pre-closing signal of each target line, determines the connection line node between each target line, and obtains the adjacent connection relationship between each target line; obtains the rated capacity of the transformer and the load of each equipment on each target line respectively; performs load analysis on the adjacent connected target lines respectively, judges the load state of the adjacent connected target lines according to the analysis data, and determines the closing and energizing management control between the adjacent connected target lines; analyzes the load rate of the equipment on each target line respectively, sets judgment parameters to judge the load rate of each target line according to the load rate analysis data of each target line, and determines the load state of each target line; the load state includes overload, heavy load and light load; compares the load rates of adjacent connected target lines for target lines that are under heavy load and light load, and according to the comparison results, between adjacent connected target lines, the target line with a smaller load rate is the current output end, and the target line with a larger load rate is the current input end, and closes and energizes the adjacent connected target lines; sets restriction conditions to judge abnormalities in the input and output current process of adjacent connected target lines;
[0053] The closing iterative optimization processing unit retrieves the operation demand data between the current target lines, and based on the current operation demand data of each target line, uses the line closing random simulation to output a comprehensive line plan for closing and energizing that meets the current operation requirements of each target line; it performs load rate iterative optimization based on the comprehensive line plan, by determining the local target line corresponding to the maximum local load rate in the comprehensive line plan as the starting line for the load rate iteration of the comprehensive line plan, and respectively determining the number of local target lines adjacent to the starting line. If the number is two or more, a load rate iterative optimization process is performed to complete one iteration; the load rate iterative optimization process is to disconnect non-critical local target lines under the condition that the operation requirements of each local target line are met in the comprehensive line plan; by continuously iterating the local target lines adjacent to the starting line in the comprehensive line plan until all local target lines in the comprehensive line plan are fully traversed and iterated, the comprehensive line plan corresponding to the minimum load rate after the full traversal and iteration is determined, and the optimal closing and energizing control plan for the iterated comprehensive line plan is output.
[0054] Furthermore, the solution output module includes an abnormality feedback unit and a closing control execution unit;
[0055] The abnormal feedback unit provides warning instruction feedback to the target line with abnormality and the corresponding abnormal device node;
[0056] The closing control execution unit outputs the comprehensive line plan after full traversal iteration and executes the closing and energizing control plan in the comprehensive line plan. It diagnoses operating parameter anomalies by constructing a parameter fault diagnosis model for each local target line equipment node. If an abnormal line or abnormal equipment node exists in the comprehensive line plan, the simulation and load rate iterative optimization process of the comprehensive line plan are repeated to output and execute a new closing and energizing control plan.
[0057] like Figure 2 As shown, the present invention provides another technical solution:
[0058] A method for automatic control of closing interlocking, the method comprising the following steps:
[0059] By building an intelligent sensing network, the target line equipment node parameters and corresponding operating environment data are collected;
[0060] The target line operating conditions are judged based on the collected data, and a pre-closing signal is output based on the judgment result; the closing logic control terminal receives the pre-closing signal, and analyzes the target line load status data based on the corresponding load demand of the target line to determine the target line closing control data; based on the target line operating demand data, the optimal closing and power-on control scheme is analyzed for the current target line, and the optimal closing and power-on control scheme is output; a parameter fault diagnosis model is set to perform parameter judgment on the operating equipment node, and the target line closing scheme is dynamically adjusted based on the judgment result.
[0061] Furthermore, by deploying sensor devices on the target lines to build an intelligent sensing network, a set of target lines to be monitored is determined, and the operating environment data of the device nodes on each target line in the set is collected in real time, and an operating environment data set of the corresponding device nodes is built; the operating environment data includes temperature, humidity, vibration, etc.; the corresponding sensor devices are temperature sensors, humidity sensors, vibration sensors, etc.
[0062] By retrieving the operation log data of each device node on each target line, the operation parameter data of each device node at the last time point is determined, and a set of operation status parameter data of the corresponding device node is constructed; the operation parameters include current, voltage, resistance and other data.
[0063] Furthermore, based on the operating environment data set and operating status parameter data set corresponding to each equipment node on each target line, each data in the corresponding set is retrieved and compared with the preset operating parameter range of the equipment to determine whether the corresponding environmental data and status parameters of the equipment on the current target line meet the operating requirements; the preset operating parameter range of the equipment is the normal range of each environmental data and status parameter when the corresponding equipment can operate normally; the operating environment data and operating status parameters of the equipment nodes that meet the operating requirements are marked as normal; the operating environment data and operating status parameters corresponding to the equipment that does not meet the operating requirements are marked as abnormal;
[0064] The operating environment data and operating status parameters of the device nodes are continuously judged to be true or false through the logical judgment end; the operating environment data and operating status parameters marked as normal are true, and the operating environment data and operating status parameters marked as abnormal are false; based on the continuous true or false judgment results of the operating environment data and operating status parameters of each device node, the device nodes judged to be true are marked as normal; the device nodes judged to be false are marked as abnormal; the target line with all device nodes marked as normal is marked as normal, and a pre-closing signal is output; the target line with a device node marked as abnormal is marked as abnormal, no pre-closing signal is output, and a warning signal is output.
[0065] Furthermore, the closing logic control terminal receives the pre-closing signal of each target line, determines the connection line nodes between each target line, and obtains the adjacent connection relationship between each target line; obtains the rated capacity of the transformer and the load of each device on each target line respectively; wherein the rated capacity of the transformer is the rated load power of the line, and the load of the device is the load power of the device; by performing load analysis on the adjacent connected target lines respectively, judging the load status of the adjacent connected target lines according to the analysis data, and determining the closing and power-on management control between the adjacent connected target lines; it analyzes the load rate of the equipment on each target line respectively, and classifies the load rate of each target line according to the load rate of each target line. Analyze data, set judgment parameters to judge the load rate of each target line, and determine the load status of each target line; the load status includes overload, heavy load and light load; by setting the overload judgment threshold and the heavy load judgment threshold, if the load rate of the target line is greater than or equal to the overload judgment threshold, it is judged that the line is overloaded, and an alarm is issued to the overloaded line; if the load rate of the target line is less than the overload judgment threshold and greater than or equal to the heavy load judgment threshold, it is judged that the line is overloaded; if the load rate of the target line is less than the heavy load judgment threshold, it is judged that the line is lightly loaded; when the target line is in the heavy load and light load states, the line status is only recorded without an alarm; wherein, the load rate of each target line is calculated as follows:
[0066] ;
[0067] Where LF(n) corresponds to the load rate of the target line numbered n; P load (n) corresponds to the actual load power of the target line numbered n; P rated (n) Rated load power of target line numbered n; n is the target line number; the actual load power on each target line is the sum of the load powers of the equipment on each target line;
[0068] The load rates of adjacent target lines connected to heavy-load and light-load target lines are compared. According to the comparison results, between adjacent target lines, the target line with a smaller load rate is the current output end, and the target line with a larger load rate is the current input end, and the adjacent target lines are energized. By setting restriction conditions, abnormalities are judged during the input and output current of the adjacent target lines. The setting process of the restriction conditions is specifically as follows: by respectively calculating the rated current and the actual load current on the adjacent target lines, conditional restrictions are imposed based on the rated current data and the actual load current data on the adjacent target lines. The rated current of the target line corresponding to the current output end between the adjacent target lines must be greater than or equal to the sum of the actual load currents on the adjacent target lines. The rated current data and load current data of each target line are calculated as follows:
[0069] ; ;
[0070] Among them, I rated (n) and I load (n) corresponds to the rated current and actual load current of the target line numbered n; U rated (n) and U load (n) corresponds to the rated voltage and actual load voltage of the target line numbered n respectively; based on the analysis results of the rated current data and actual load current data of the corresponding adjacent connected target line, combined with the restriction conditions, an abnormality judgment is made on the input and output current process between the adjacent connected target lines. If the restriction conditions are not met, the adjacent connected lines are energized and disconnected to terminate the current input and output, and a warning is issued; otherwise, no action is taken;
[0071] By retrieving the operation demand data between the current target lines, based on the current operation demand data of each target line, the line closing random simulation is used to output a comprehensive line plan for closing and energizing that meets the current operation demand of each target line; based on the comprehensive line plan, the load rate is iteratively optimized, which is determined by determining the local target line corresponding to the maximum local load rate in the comprehensive line plan as the starting line for the load rate iteration of the comprehensive line plan, and the number of local target lines adjacent to the starting line is determined respectively. If the number is two or more, the load rate iterative optimization process is performed to complete one iteration; the load rate iterative optimization process is to disconnect the non-critical local target lines under the condition that the operation demand of each local target line is met in the comprehensive line plan; the non-critical local target line refers to the line that has no effect on the operation demand in the comprehensive line plan, or there are multiple lines with similar operation demand functions. When the lines are the same, the line with the higher load rate is selected; the local target line refers to each local target line in the combined comprehensive line scheme; the local target line connected from the starting line in the comprehensive line scheme is continuously iterated until the local target lines in the comprehensive line scheme are fully traversed and iterated, the comprehensive line scheme corresponding to the minimum load rate after the full traversal iteration is determined, and the optimal closing and energizing control scheme of the iterated comprehensive line scheme is output; the continuous iteration of the local target line connected from the starting line refers to the local line retained after the optimization is completed after one iteration. The local target line connected is continuously iterated twice and so on until the full traversal iteration of each local target line in the comprehensive line scheme is completed; the non-critical local target lines to be optimized are not subjected to subsequent iterative processing; the calculation of the iterative analysis of the comprehensive line scheme is
[0072] ;
[0073] Among them, LF min is the minimum load rate corresponding to the comprehensive line solution after full traversal iteration; ΔPload (j) and ΔP rated (j) corresponds to the actual load power and rated load power of the optimized local target line corresponding to the j-th iteration; m is the number of local target lines; k is the number of iterations.
[0074] Furthermore, a warning instruction feedback is given to the target line with abnormality and the corresponding abnormal device node; wherein the target line and device node with abnormality do not participate in the operation implementation;
[0075] The comprehensive line plan after full traversal iteration is output, and the closing and power-on control plan in the comprehensive line plan is executed; by constructing a parameter fault diagnosis model for each local target line equipment node, the operating parameter abnormality diagnosis is performed. When there are abnormal lines or abnormal equipment nodes in the comprehensive line plan, the simulation and load rate iterative optimization processing of the comprehensive line plan are repeated, and a new closing and power-on control plan is output and executed; the parameter fault diagnosis model is an artificial construction of the corresponding parameter normal operating range for the operating equipment parameters and line parameters based on the operation requirements. When the equipment or line operating parameters do not belong to the normal range, it is judged as abnormal.
[0076] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.
Claims
1. A method for automatic control of closing interlocking, characterized by: The method comprises the following steps: By building an intelligent sensing network, the target line equipment node parameters and corresponding operating environment data are collected; The target line operating conditions are judged based on the collected data, and a pre-closing signal is output based on the judgment result; the closing logic control terminal receives the pre-closing signal, and analyzes the target line load status data based on the corresponding load demand of the target line to determine the target line closing control data; based on the target line operating demand data, the optimal closing and power-on control scheme is analyzed for the current target line, and the optimal closing and power-on control scheme is output; a parameter fault diagnosis model is set to perform parameter judgment on the operating equipment node, and the target line closing scheme is dynamically adjusted based on the judgment result.
2. The method for automatic control of closing interlocking according to claim 1, characterized in that: By deploying sensor devices on the target lines to build an intelligent perception network, the target line set to be monitored is determined, the operating environment data of the device nodes on each target line in the set is collected in real time, and the operating environment data set of the corresponding device nodes is constructed; By retrieving the operation log data of each device node on each target line, the operation parameter data of each device node at the last time point is determined, and the operation status parameter data set of the corresponding device node is constructed.
3. The method for automatic control of closing interlocking according to claim 2, characterized in that: Based on the operating environment data set and operating status parameter data set corresponding to each equipment node on each target line, each data in the corresponding set is retrieved and compared with the preset operating parameter range of the equipment to determine whether the corresponding environmental data and status parameters of the equipment on the current target line meet the operating requirements; the operating environment data and operating status parameters of the equipment nodes that meet the operating requirements are marked as normal; Mark abnormal operating environment data and operating status parameters corresponding to equipment that does not meet operating requirements; The logical judgment terminal continuously judges the operating environment data and operating status parameters of the device nodes as true or false. Normally marked operating environment data and operating status parameters are marked as true, while abnormally marked operating environment data and operating status parameters are marked as false. Based on the continuous true or false judgment results of the operating environment data and operating status parameters of each device node, the device nodes judged as true are marked as normal. Device nodes whose existence is judged to be false are marked as abnormal; The target line where all device nodes on the line are marked as normal is marked as normal and a pre-closing signal is output; the target line where some device nodes on the line are marked as abnormal is marked as abnormal, no pre-closing signal is output, and a warning signal is output.
4. The method for automatic control of closing interlocking according to claim 3, characterized in that: The closing logic control terminal receives the pre-closing signal of each target line, determines the connection line nodes between each target line, and obtains the adjacent connection relationship between each target line; obtains the rated capacity of the transformer and the load of each device on each target line; performs load analysis on each adjacent connected target line, determines the load status of the adjacent connected target line based on the analysis data, and determines the closing and energizing management control between the adjacent connected target lines; It analyzes the equipment load rate on each target line respectively, sets judgment parameters to judge the load rate of each target line according to the load rate analysis data of each target line, and determines the load status of each target line; The load status includes overload, heavy load and light load; Compare the load rates of adjacent target lines for heavily loaded and lightly loaded target lines. Based on the comparison results, the target line with the smaller load rate is used as the current output end, and the target line with the larger load rate is used as the current input end, and the adjacent target lines are energized. By setting restriction conditions, abnormality judgment is performed on the input and output current of the adjacent target lines; By retrieving the operation demand data between the current target lines, based on the current operation demand data of each target line, a comprehensive line plan for closing and energizing that meets the current operation demand of each target line is output by using line closing random simulation; based on the comprehensive line plan, load rate iterative optimization is performed, which is performed by determining the local target line corresponding to the maximum local load rate in the comprehensive line plan as the starting line for load rate iteration of the comprehensive line plan, and respectively determining the number of local target lines adjacent to the starting line. If the number is two or more, a load rate iterative optimization process is performed to complete one iteration; wherein the load rate iterative optimization process is to disconnect non-critical local target lines under the condition that the operation demand of each local target line is met in the comprehensive line plan; by continuously iterating the local target lines adjacent to the starting line in the comprehensive line plan until all local target lines in the comprehensive line plan are fully traversed and iterated, the comprehensive line plan corresponding to the minimum load rate after the full traversal and iteration is determined, and the optimal closing and energizing control plan for the iterated comprehensive line plan is output.
5. The method for automatic control of closing interlocking according to claim 4, characterized in that: Provide warning instruction feedback to the target line with abnormality and the corresponding abnormal device node; The comprehensive line plan after full traversal iteration is output, and the closing and power-on control plan in the comprehensive line plan is executed; by constructing a parameter fault diagnosis model for each local target line equipment node, operating parameter abnormality diagnosis is performed. When there are abnormal lines or abnormal equipment nodes in the comprehensive line plan, the simulation and load rate iterative optimization processing of the comprehensive line plan are repeated, and a new closing and power-on control plan is output and executed.
6. A system for automatic control of closing interlocking, characterized by: The system includes a multi-source data acquisition module, a logic judgment module, a load optimization module and a solution output module; The multi-source data acquisition module collects target line equipment node parameters and corresponding operating environment data by building an intelligent perception network; the logic judgment module judges the target line operating conditions based on the collected data and outputs a pre-closing signal based on the judgment result; the load optimization module receives the pre-closing signal and analyzes the target line load status data based on the corresponding load demand of the target line to determine the target line closing control data; based on the target line operating demand data, it analyzes the optimal closing plan for the current target line and outputs the optimal closing plan instruction; The solution output module provides warning feedback for abnormal target lines and abnormal device nodes, and executes the best closing solution; A parameter fault diagnosis model is set up to judge the parameters of the operating equipment nodes, and the target line closing plan is dynamically adjusted based on the judgment results.
7. The system for automatic control of closing interlocking according to claim 6, characterized in that: The multi-source data acquisition module includes an operating environment data acquisition unit and an equipment parameter retrieval unit; The operating environment data collection unit constructs an intelligent sensing network by deploying sensor devices on the target lines, determines a set of target lines to be monitored, collects the operating environment data of the device nodes on each target line in the set in real time, and constructs an operating environment data set for the corresponding device nodes; The device parameter retrieving unit retrieves the operation log data of each device node on each target line, determines the operation parameter data of each device node at the last time point, and constructs an operation status parameter data set of the corresponding device node.
8. The system for automatic control of closing interlocking according to claim 7, characterized in that: The logic judgment module includes an abnormal data marking unit and a logic judgment unit; The abnormal data marking unit is based on the operating environment data set and operating status parameter data set corresponding to each equipment node on each target line, and respectively retrieves each data in the corresponding set and compares it with the preset operating parameter range of the equipment to determine whether the corresponding environmental data and status parameters of the equipment on the current target line meet the operating requirements; the operating environment data and operating status parameters of the equipment nodes that meet the operating requirements are marked as normal; Mark abnormal operating environment data and operating status parameters corresponding to equipment that does not meet operating requirements; The logic judgment unit continuously judges the operating environment data and operating status parameters of the device nodes through the logic judgment terminal; the operating environment data and operating status parameters marked as normal are true, and the operating environment data and operating status parameters marked as abnormal are false; based on the continuous true and false judgment results of the operating environment data and operating status parameters of each device node, the device nodes judged to be true are marked as normal; Device nodes whose existence is judged to be false are marked as abnormal; The target line where all device nodes on the line are marked as normal is marked as normal and a pre-closing signal is output; the target line where some device nodes on the line are marked as abnormal is marked as abnormal, no pre-closing signal is output, and a warning signal is output.
9. The system for automatic control of closing interlocking according to claim 8, characterized in that: The load optimization module includes a line load state analysis unit and a closing iterative optimization processing unit; The closing logic control terminal of the line load status analysis unit receives the pre-closing signal of each target line, determines the connection line nodes between the target lines, and obtains the adjacent connection relationship between the target lines; obtains the rated capacity of the transformer and the load of each device on each target line; performs load analysis on the adjacent connected target lines respectively, determines the load status of the adjacent connected target lines based on the analysis data, and determines the closing and energizing management control between the adjacent connected target lines; It analyzes the equipment load rate on each target line respectively, sets judgment parameters to judge the load rate of each target line according to the load rate analysis data of each target line, and determines the load status of each target line; The load status includes overload, heavy load and light load; for target lines in heavy load and light load, the load rates of adjacent target lines are compared; and according to the comparison results, the target line with the smaller load rate is used as the current output end, and the target line with the larger load rate is used as the current input end, and the adjacent target lines are energized; By setting restriction conditions, abnormality judgment is performed on the input and output current of the adjacent target lines; The closing iterative optimization processing unit retrieves the operation demand data between the current target lines, and based on the current operation demand data of each target line, uses line closing random simulation to output a comprehensive line plan for closing and energizing that meets the current operation requirements of each target line; performs load rate iterative optimization based on the comprehensive line plan, by determining the local target line corresponding to the maximum local load rate in the comprehensive line plan as the starting line for load rate iteration of the comprehensive line plan, and respectively determining the number of local target lines adjacent to the starting line. If the number is two or more, a load rate iterative optimization process is performed to complete one iteration; wherein the load rate iterative optimization process is to disconnect non-critical local target lines under the condition that the operation requirements of each local target line are met in the comprehensive line plan; by continuously iterating the local target lines adjacent to the starting line in the comprehensive line plan until all local target lines in the comprehensive line plan are fully traversed and iterated, the comprehensive line plan corresponding to the minimum load rate after the full traversal and iteration is determined, and the optimal closing and energizing control plan for the iterated comprehensive line plan is output.
10. The system for automatic control of closing interlocking according to claim 9, characterized in that: The scheme output module includes an abnormality feedback unit and a closing control execution unit; The abnormality feedback unit provides warning instruction feedback to the target line with abnormality and the corresponding abnormal device node; The closing control execution unit outputs the comprehensive line plan after full traversal iteration and executes the closing and power-on control plan in the comprehensive line plan; by constructing a parameter fault diagnosis model for each local target line equipment node, operating parameter abnormality diagnosis is performed. When there are abnormal lines or abnormal equipment nodes in the comprehensive line plan, the simulation of the comprehensive line plan and the load rate iterative optimization process are repeated, and a new closing and power-on control plan is output and executed.