Intelligent supervision method for digital power system based on cloud computing

Abstract

The invention relates to the field of electric power supervision, in particular to a digital electric power system intelligent supervision method based on cloud computing, which comprises an information generation module, a node inspection module, a power distribution chip module, a protocol latch module and a line relay module, the node inspection module is used for receiving and transmitting sequence signals and grading line nodes, the power distribution chip module is used for constructing a power grid topology model and reconnecting electric equipment, the protocol latch module is used for monitoring the operation state of the equipment, and the line relay module is used for judging the line state and disconnecting an abnormal line. The method optimizes the energy dispatching and distribution of the power system, enables the power grid to transmit information more effectively, improves the operation efficiency of the power grid, rapidly locates the fault point of the power system, reduces the fault handling time, and improves the safety and stability of the power grid.

Description

Technical Field

[0001] The present invention relates to the field of power supervision, and in particular to an intelligent supervision method for a digital power system based on cloud computing. Background Art

[0002] The power system refers to a system consisting of power plants, transmission networks and distribution networks, which is used to transmit electric energy from power plants to end users, including transmission, distribution and consumption. The end of the power system consists of distribution stations, household power grids and power-consuming equipment. Due to the uneven quality of equipment connected to the power grid, protection facilities are usually required in the circuit to prevent safety hazards caused by short circuits.

[0003] However, the power grid facilities in some power consumption sites are old, and the household power grid has become quite complicated after years of wiring. It is very difficult to monitor the power parameters of each line, especially in industrial and commercial sites where energy-consuming equipment is relatively concentrated. Due to the large number of equipment connected to the power grid, it is difficult to trace the faulty lines and faulty equipment, resulting in a reduction in line safety performance.

[0004] In order to handle these complex lines, circuit maintenance personnel need to regularly organize the lines and equipment of the household power grid, adjust the access location of the equipment, and ensure the stability of the current of each node line to prevent the power system from being affected by excessive current fluctuations or unstable voltage. The normal operation of the equipment, but the reorganization process requires a lot of time and resources, and the existing automated reorganization devices have defects in timeliness and stability. Summary of the invention

[0005] The purpose of the present invention is to provide a digital power system intelligent supervision method based on cloud computing to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: A digital power system intelligent supervision system based on cloud computing, comprising: an information generation module, a node inspection module, a power distribution chip module, a protocol latch module and a line relay module; The information generation module is composed of a main control computer arranged in the primary power distribution equipment and a signal sensor arranged in the line node, and is used to check the number of nodes in the power system, and randomly generate a fixed-length periodic binary sequence according to the number of nodes, couple the sequence signal with the power supply current and send it to the power grid, and provide the node device with a protocol change and decoupling signal; The node inspection module is composed of a logic chip arranged at a power grid line node and a load device directly connected to the line node. After the line node receives a sequence signal sent by a main control computer, it generates the inverse code of the sequence signal according to a preset protocol and transmits it to an adjacent node. At the same time, the logic chip at each node locally superimposes the sequence signals received from all sources, calculates the total amount of information of the superimposed signals, and classifies the nodes according to the total amount of information. The power distribution chip module is used to build a topology model in the cloud according to the level of line nodes, branch the current power supply current, calculate the loss factor of the node connection device according to the shunting size and the installation capacity of the power-consuming equipment, establish a load model for all devices, perform random simulation connection on the equipment, evaluate the current conversion efficiency and the load of each node after connection, screen all simulation connection results one by one, and reconnect the circuit according to the optimal screening result; The protocol latch module is used to change the receiving and sending protocol of the node logic chip. The main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for a cycle. Each binary signal corresponds to a time point in the cycle. During the latching process, when the node current exceeds the rated current of the distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal. The line relay module is used to check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, it is determined that a line collision has occurred. When the number of line collisions between adjacent nodes exceeds a threshold, the logic chip issues a fuse instruction to disconnect the connection line between the collision nodes and re-evaluate the line.

[0007] Further, the information generation module includes: a power supply management unit and a signal sensing unit; The power supply management unit is used to supply power from the distribution station to the household power grid and control the coupling and decoupling process of the power supply current; The signal sensing unit is used to provide a communication channel between the main control computer and the cloud, generate a random sequence, and verify the data feedback of the nodes in the power grid.

[0008] Further, the node inspection module includes: a node device unit, a signal processing unit and a feedback classification unit; The node device unit is used to connect a logic chip at a node where lines in a power grid intersect, and the chip receives a coupling signal of the current; The signal processing unit is used to send an inverse signal of the parsed signal from the logic chip and transmit the signal to all adjacent chips along the power grid line; The feedback grading unit is used to accumulate all signals locally, calculate the information volume of the signals, summarize all information volume calculation results in the cloud, and grade the nodes.

[0009] Further, the power distribution chip module includes: an installation evaluation unit, a simulation connection unit and a device reconnection unit; The installation evaluation unit is used to obtain the working parameters of the electrical equipment, calculate the loss factor of the equipment according to the node level to which the equipment is connected, and obtain the equipment load model from the working parameters and the loss factor; The simulation connection unit is used to construct a topology model according to the level of line nodes, and perform random access simulation of each node for all devices in the cloud; The device reconnection unit is used to screen the simulation results and reconnect the devices in the power grid according to the optimal screening results.

[0010] Further, the protocol latch module includes: a protocol change unit and a local latch unit; The protocol change unit is used to send a protocol change instruction to the node logic chip after the device is reconnected, and enter the device continuous monitoring state; The local latch unit is used to send and receive a low-level confirmation signal, latch the confirmation signal for one cycle, and change the latch signal according to the device monitoring result.

[0011] Further, the line relay module includes: a level checking unit and an stimulated disconnection unit; The level checking unit is used to compare the latched signals of each node with those of all adjacent nodes, and when the signal meets the resonance condition, it is determined that the node connection line is in a short-circuit state; The stimulated disconnection unit is used to fuse the connection pins between the logic chip and the corresponding node when the node connection line is short-circuited, send a maintenance report and re-enter the device connection process.

[0012] A method for intelligent supervision of a digital power system based on cloud computing includes the following steps: Step S1. A main control computer and a current coupler are set in the power distribution equipment, and a logic chip is connected at the node of the power grid line. The main control computer randomly generates a binary sequence of a fixed length according to the number of nodes, couples the sequence signal with the power supply current, and then sends it to the power grid; Step S2. The grid node generates the inverse code of the sequence signal, adds a check code to the sequence signal, and transmits the sequence signal along the line to the adjacent node. Each time the signal passes through a node, the check code is recorded and consumed until the check code returns to zero. Step S3. Each node accumulates all received sequence signals, calculates the total amount of information of the accumulated signals, obtains the maximum number of hops of the node according to the ratio of the total amount of information to the amount of information of the initial binary sequence in the cloud, obtains the number of adjacent nodes of the node according to the check code forwarding record, and generates a power grid topology model based on the maximum number of hops of the node and the number of adjacent nodes; Step S4. Obtain the working parameters of all electrical devices, calculate the loss factor of the device according to the load state of the device in the current branch, input the power supply parameters of the power grid and the loss factor of each device into the topology model, perform random access simulation on the connection of the device in the circuit, and reconnect the device according to the selected optimal access result; Step S5. Send a low-level sequence signal. The node determines the signal latching period according to the connected load of the device, so that each low-level signal in the sequence corresponds to a time point in the period. When the node current exceeds the rated current, the signal at the corresponding time point is reset to a high level, and the latching signals of adjacent nodes are checked. When the latching signals of adjacent nodes have consistent high-level signals at the same time point, the lines between the nodes are blown.

[0013] Further, step S1 includes: Step S11. Check the number of nodes in the household power grid, replace the terminal at the line connection node with a logic chip, the logic chip has a communication function with the main control computer, the main control computer is set in the power distribution room, connected to the household cable through a branch, and can detect the current and voltage in the household cable; Step S12. The main control computer generates a random binary sequence, the sequence length satisfies L>log2N, where L represents the sequence length and N represents the number of nodes, and converts the binary sequence into a micro-current pulse signal. The pulse signal is integrated into the household current and enters the power grid with the help of a circuit coupler.

[0014] Further, step S2 includes: Step S21. The node decouples the pulse signal from the current, restores it to a binary sequence, generates the inverse code of the binary sequence, and adds a check code to the sequence signal. The initial number of bits of the check code is m, where m represents the maximum number of forwarding times. The node sends the inverse code signal containing the check code to the adjacent node along the power grid line; Step S22. After the adjacent node receives the inverse code signal, it performs a check code judgment. If the check code is not all 0, it subtracts one bit from the check code and forwards the inverse code signal to all lines outside the signal source, and records the check code locally. If the check code is all 0 or the signal cannot be forwarded, the forwarding operation is not performed and the inverse code signal is stored in the local data.

[0015] Further, step S3 includes: Step S31. Each node accumulates all received inverse code sequences and check code signals, calculates the information volume of the inverse code sequence and the information volume of the check code respectively, and transmits the calculation results to the main control computer through the communication device in the logic chip; Step S32. The main control computer uploads the calculation results to the cloud and uses the cloud computing resources to judge the adjacent status of the nodes. The judgment process meets the following rules: Step S32-1. Divide the information amount of the inverse code sequence by the information amount of the initial binary signal and round it up. If the rounded value is greater than 2, it means that the node has an adjacent node within m hops of forwarding. Otherwise, it means that the number of forwarding hops of the node is less than m hops. Step S32-2. When the number of node forwarding hops is less than m hops, check the information volume of each check code and divide it by the standard information volume of binary data to obtain the number of bits of the check code, which means that the node has n connected nodes within m hops, where n is the number of bits of the check code. The number of neighboring nodes of the node is obtained according to the number of check codes; Step S32-3. Draw a connection profile of all nodes with forwarding hops less than m hops according to the number of adjacent nodes and the number of connected nodes within m hops, add nodes according to the known connection direction of the profile, so that all nodes meet the forwarding hop requirements, output the profile after adding all nodes, and obtain the power grid topology map; Step S33. Generate a power grid topology model on the cloud platform according to the power grid topology diagram, and transmit the model to the main control computer.

[0016] Further, step S4 includes: Step S41. According to the working parameters of the electrical equipment, the loss factor of the electrical equipment is calculated according to the following formula: ; Among them, I represents the working current of the electrical equipment, P c Represents the installed capacity of electrical equipment, U N represents the rated voltage of the equipment, and θ represents the loss factor of the electrical equipment; Step S42: Substitute the input current and input voltage into the grid topology model, randomly connect the devices, calculate the working efficiency of each node according to the working parameters and loss factor of the devices, and use the annealing method to screen the simulation results: ; Where P represents the acceptance probability of the simulation result, h represents the number of simulations, E(h) and E(h+1) represent the average node work efficiency obtained from the h-th and h+1-th simulations, T is the preset control parameter, and e is the base of the natural logarithm; Step S43. After iterative calculation, the simulation result with the highest acceptance probability is selected as the optimal installation plan for the equipment, and all electrical equipment is reinstalled according to the optimal installation plan.

[0017] Further, step S5 includes: Step S51. Change the receiving and sending protocol of the node logic chip, and the main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for one cycle, and each binary signal corresponds to a time point in the cycle; Step S52. During the latching process, when the node current exceeds the rated current of its distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal; Step S53: Check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, the logic chip issues a fuse instruction to disconnect the connection line between the collision nodes.

[0018] Compared with the prior art, the beneficial effects achieved by the present invention are: The present invention can generate a periodic binary sequence according to the number of node devices, transmit the sequence signal to the node device, the node device generates the inverse code of the sequence signal and transmits it to the adjacent node, superimposes the sequence signal locally, and classifies the nodes according to the information volume of the superimposed signal, thereby realizing circuit arrangement of complex power grids, optimizing the energy dispatching and allocation of the power system, enabling power grid equipment to more effectively transmit and manage information, and improving the operation efficiency of the power grid.

[0019] The present invention simulates connecting devices randomly in a circuit, evaluates the current conversion efficiency and node load after the connection, screens the connection results one by one, and reconnects the circuit according to the optimal screening result, thereby realizing automatic reorganization of the devices, making the power grid more flexible, able to flexibly respond to changes in power demand of different devices, and improving the adaptability of the power grid.

[0020] The present invention can send the sequence signal again after the device is reconnected, and at the same time change the node protocol so that the signal is latched in the node for a cycle, and reset the low-level signal according to the matching degree of the node current. When the same low-level signal exists in adjacent nodes, the connection between the nodes is automatically disconnected, which can help to quickly locate the fault point, reduce the fault handling time, reduce the occurrence and spread of power grid safety accidents, and improve the safety and stability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural schematic diagram of a corresponding system of a digital power system intelligent supervision method based on cloud computing of the present invention; Figure 2 It is a schematic diagram of the steps of a cloud computing-based digital power system intelligent supervision method of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 ,The present invention provides a technical solution: a digital power system intelligent supervision system based on cloud computing, including: an information generation module, a node inspection module, a power distribution chip module, a protocol latch module and a line relay module; The information generation module is composed of a main control computer arranged in the primary power distribution equipment and a signal sensor arranged in the line node, and is used to check the number of nodes in the power system, and randomly generate a fixed-length periodic binary sequence according to the number of nodes, couple the sequence signal with the power supply current and send it to the power grid, and provide the node device with a protocol change and decoupling signal; The information generation module includes: a power supply management unit and a signal sensing unit; The power supply management unit is used to supply power from the distribution station to the household power grid and control the coupling and decoupling process of the power supply current; The signal sensing unit is used to provide a communication channel between the main control computer and the cloud, generate a random sequence, and verify the data feedback of the nodes in the power grid.

[0024] The node inspection module is composed of a logic chip arranged at a power grid line node and a load device directly connected to the line node. After the line node receives a sequence signal sent by a main control computer, it generates the inverse code of the sequence signal according to a preset protocol and transmits it to an adjacent node. At the same time, the logic chip at each node locally superimposes the sequence signals received from all sources, calculates the total amount of information of the superimposed signals, and classifies the nodes according to the total amount of information. The node inspection module includes: a node device unit, a signal processing unit and a feedback classification unit; The node device unit is used to connect a logic chip at a node where lines in a power grid intersect, and the chip receives a coupling signal of the current; The signal processing unit is used to send an inverse signal of the parsed signal from the logic chip and transmit the signal to all adjacent chips along the power grid line; The feedback grading unit is used to accumulate all signals locally, calculate the information volume of the signals, summarize all information volume calculation results in the cloud, and grade the nodes.

[0025] The power distribution chip module is used to build a topology model in the cloud according to the level of line nodes, branch the current power supply current, calculate the loss factor of the node connection device according to the shunting size and the installation capacity of the power-consuming equipment, establish a load model for all devices, perform random simulation connection on the equipment, evaluate the current conversion efficiency and the load of each node after connection, screen all simulation connection results one by one, and reconnect the circuit according to the optimal screening result; The power distribution chip module includes: an installation evaluation unit, a simulation connection unit and a device reconnection unit; The installation evaluation unit is used to obtain the working parameters of the electrical equipment, calculate the loss factor of the equipment according to the node level to which the equipment is connected, and obtain the equipment load model from the working parameters and the loss factor; The simulation connection unit is used to construct a topology model according to the level of line nodes, and perform random access simulation of each node for all devices in the cloud; The device reconnection unit is used to screen the simulation results and reconnect the devices in the power grid according to the optimal screening results.

[0026] The protocol latch module is used to change the receiving and sending protocol of the node logic chip. The main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for a cycle. Each binary signal corresponds to a time point in the cycle. During the latching process, when the node current exceeds the rated current of the distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal. The protocol latch module includes: a protocol change unit and a local latch unit; The protocol change unit is used to send a protocol change instruction to the node logic chip after the device is reconnected, and enter the device continuous monitoring state; The local latch unit is used to send and receive a low-level confirmation signal, latch the confirmation signal for one cycle, and change the latch signal according to the device monitoring result.

[0027] The line relay module is used to check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, it is determined that a line collision has occurred. When the number of line collisions between adjacent nodes exceeds a threshold, the logic chip issues a fuse instruction to disconnect the connection line between the collision nodes and re-evaluate the line.

[0028] The line relay module comprises: a level checking unit and an excited disconnection unit; The level checking unit is used to compare the latched signals of each node with those of all adjacent nodes, and when the signal meets the resonance condition, it is determined that the node connection line is in a short-circuit state; The stimulated disconnection unit is used to fuse the connection pins between the logic chip and the corresponding node when the node connection line is short-circuited, send a maintenance report and re-enter the device connection process.

[0029] like Figure 2 As shown, a method for intelligent supervision of a digital power system based on cloud computing includes the following steps: Step S1. A main control computer and a current coupler are set in the power distribution equipment, and a logic chip is connected at the node of the power grid line. The main control computer randomly generates a binary sequence of a fixed length according to the number of nodes, couples the sequence signal with the power supply current, and then sends it to the power grid; Step S1 includes: Step S11. Check the number of nodes in the household power grid, replace the terminal at the line connection node with a logic chip, the logic chip has a communication function with the main control computer, the main control computer is set in the power distribution room, connected to the household cable through a branch, and can detect the current and voltage in the household cable; Step S12. The main control computer generates a random binary sequence, the sequence length satisfies L>log2N, where L represents the sequence length and N represents the number of nodes, and converts the binary sequence into a micro-current pulse signal. The pulse signal is integrated into the household current and enters the power grid with the help of a circuit coupler.

[0030] Step S2. The grid node generates the inverse code of the sequence signal, adds a check code to the sequence signal, and transmits the sequence signal along the line to the adjacent node. Each time the signal passes through a node, the check code is recorded and consumed until the check code returns to zero. Step S2 includes: Step S21. The node decouples the pulse signal from the current, restores it to a binary sequence, generates the inverse code of the binary sequence, and adds a check code to the sequence signal. The initial number of bits of the check code is m, where m represents the maximum number of forwarding times. The node sends the inverse code signal containing the check code to the adjacent node along the power grid line; Step S22. After the adjacent node receives the inverse code signal, it performs a check code judgment. If the check code is not all 0, it subtracts one bit from the check code and forwards the inverse code signal to all lines outside the signal source, and records the check code locally. If the check code is all 0 or the signal cannot be forwarded, the forwarding operation is not performed and the inverse code signal is stored in the local data.

[0031] Step S3. Each node accumulates all received sequence signals, calculates the total amount of information of the accumulated signals, obtains the maximum number of hops of the node according to the ratio of the total amount of information to the amount of information of the initial binary sequence in the cloud, obtains the number of adjacent nodes of the node according to the check code forwarding record, and generates a power grid topology model based on the maximum number of hops of the node and the number of adjacent nodes; Step S3 includes: Step S31. Each node accumulates all received inverse code sequences and check code signals, calculates the information volume of the inverse code sequence and the information volume of the check code respectively, and transmits the calculation results to the main control computer through the communication device in the logic chip; Step S32. The main control computer uploads the calculation results to the cloud and uses the cloud computing resources to judge the adjacent status of the nodes. The judgment process meets the following rules: Step S32-1. Divide the information amount of the inverse code sequence by the information amount of the initial binary signal and round it up. If the rounded value is greater than 2, it means that the node has an adjacent node within m hops of forwarding. Otherwise, it means that the number of forwarding hops of the node is less than m hops. Step S32-2. When the number of node forwarding hops is less than m hops, check the information volume of each check code and divide it by the standard information volume of binary data to obtain the number of bits of the check code, which means that the node has n connected nodes within m hops, where n is the number of bits of the check code. The number of neighboring nodes of the node is obtained according to the number of check codes; Step S32-3. Draw a connection profile of all nodes with forwarding hops less than m hops according to the number of adjacent nodes and the number of connected nodes within m hops, add nodes according to the known connection direction of the profile, so that all nodes meet the forwarding hop requirements, output the profile after adding all nodes, and obtain the power grid topology map; Step S33. Generate a power grid topology model on the cloud platform according to the power grid topology diagram, and transmit the model to the main control computer.

[0032] Step S4. Obtain the working parameters of all electrical devices, calculate the loss factor of the device according to the load state of the device in the current branch, input the power supply parameters of the power grid and the loss factor of each device into the topology model, perform random access simulation on the connection of the device in the circuit, and reconnect the device according to the selected optimal access result; Step S4 includes: Step S41. According to the working parameters of the electrical equipment, the loss factor of the electrical equipment is calculated according to the following formula: ; Among them, I represents the working current of the electrical equipment, P c Represents the installed capacity of electrical equipment, U N represents the rated voltage of the equipment, and θ represents the loss factor of the electrical equipment; Step S42: Substitute the input current and input voltage into the grid topology model, randomly connect the devices, calculate the working efficiency of each node according to the working parameters and loss factor of the devices, and use the annealing method to screen the simulation results: ; Where P represents the acceptance probability of the simulation result, h represents the number of simulations, E(h) and E(h+1) represent the average node work efficiency obtained from the h-th and h+1-th simulations, T is the preset control parameter, and e is the base of the natural logarithm; Step S43. After iterative calculation, the simulation result with the highest acceptance probability is selected as the optimal installation plan for the equipment, and all electrical equipment is reinstalled according to the optimal installation plan.

[0033] Step S5. Send a low-level sequence signal. The node determines the signal latching period according to the connected load of the device, so that each low-level signal in the sequence corresponds to a time point in the period. When the node current exceeds the rated current, the signal at the corresponding time point is reset to a high level, and the latching signals of adjacent nodes are checked. When the latching signals of adjacent nodes have consistent high-level signals at the same time point, the lines between the nodes are blown.

[0034] Step S5 includes: Step S51. Change the receiving and sending protocol of the node logic chip, and the main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for one cycle, and each binary signal corresponds to a time point in the cycle; Step S52. During the latching process, when the node current exceeds the rated current of its distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal; Step S53: Check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, the logic chip issues a fuse instruction to disconnect the connection line between the collision nodes.

[0035] Embodiment: When there are three nodes in the power grid, the main control computer sends a sequence

[1011] . After receiving the signal, node 1 converts the signal into an inverse code

[0100] , adds an identifier 01, and passes it to node 2 and node 3. After node 2 and node 3 receive the sequence signal, they store information

[0100] locally. After the cloud obtains the storage information of each node, it is found that there is only one hop of inverse code forwarding in node 2 and node 3. It is determined that node 2 and node 3 are not connected, and there is no forwarding in node 1. Then, node 1 is determined to be the root node, connecting nodes 2 and 3, and generating a connection model on the cloud platform according to the node topology relationship.

[0036] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0037] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for intelligent supervision of digital power systems based on cloud computing, characterized in that: The method comprises the following steps: Step S1. A main control computer and a current coupler are set in the power distribution equipment, and a logic chip is connected at the node of the power grid line. The main control computer randomly generates a binary sequence of a fixed length according to the number of nodes, couples the sequence signal with the power supply current, and then sends it to the power grid; Step S2. The grid node generates the inverse code of the sequence signal, adds a check code to the sequence signal, and transmits the sequence signal along the line to the adjacent node. Each time the signal passes through a node, the check code is recorded and consumed until the check code returns to zero. Step S3. Each node accumulates all received sequence signals, calculates the total amount of information of the accumulated signals, obtains the maximum number of hops of the node according to the ratio of the total amount of information to the amount of information of the initial binary sequence in the cloud, obtains the number of adjacent nodes of the node according to the check code forwarding record, and generates a power grid topology model based on the maximum number of hops of the node and the number of adjacent nodes; Step S4. Obtain the working parameters of all electrical devices, calculate the loss factor of the device according to the load state of the device in the current branch, input the power supply parameters of the power grid and the loss factor of each device into the topology model, perform random access simulation on the connection of the device in the circuit, and reconnect the device according to the selected optimal access result; Step S5. Send a low-level sequence signal. The node determines the signal latching period according to the connected load of the device, so that each low-level signal in the sequence corresponds to a time point in the period. When the node current exceeds the rated current, the signal at the corresponding time point is reset to a high level, and the latching signals of adjacent nodes are checked. When the latching signals of adjacent nodes have consistent high-level signals at the same time point, the lines between the nodes are blown.

2. According to the cloud computing-based digital power system intelligent supervision method of claim 1, it is characterized by: Step S1 includes: Step S11. Check the number of nodes in the household power grid, replace the terminal at the line connection node with a logic chip, the logic chip has a communication function with the main control computer, the main control computer is set in the power distribution room, connected to the household cable through a branch, and can detect the current and voltage in the household cable; Step S12. The main control computer generates a random binary sequence, the sequence length satisfies L>log2N, where L represents the sequence length and N represents the number of nodes, and converts the binary sequence into a micro-current pulse signal. The pulse signal is integrated into the household current and enters the power grid with the help of a circuit coupler.

3. The method for intelligent supervision of a digital power system based on cloud computing according to claim 2 is characterized in that: Step S2 includes: Step S21. The node decouples the pulse signal from the current, restores it to a binary sequence, generates the inverse code of the binary sequence, and adds a check code to the sequence signal. The initial number of bits of the check code is m, where m represents the maximum number of forwarding times. The node sends the inverse code signal containing the check code to the adjacent node along the power grid line; Step S22. After the adjacent node receives the inverse code signal, it performs a check code judgment. If the check code is not all 0, it subtracts one bit from the check code and forwards the inverse code signal to all lines outside the signal source, and records the check code locally. If the check code is all 0 or the signal cannot be forwarded, the forwarding operation is not performed and the inverse code signal is stored in the local data.

4. The method for intelligent supervision of a digital power system based on cloud computing according to claim 3 is characterized in that: Step S3 includes: Step S31. Each node accumulates all received inverse code sequences and check code signals, calculates the information volume of the inverse code sequence and the information volume of the check code respectively, and transmits the calculation results to the main control computer through the communication device in the logic chip; Step S32. The main control computer uploads the calculation results to the cloud and uses the cloud computing resources to judge the adjacent status of the nodes. The judgment process meets the following rules: Step S32-1. Divide the information amount of the inverse code sequence by the information amount of the initial binary signal and round it up. If the rounded value is greater than 2, it means that the node has an adjacent node within m hops of forwarding. Otherwise, it means that the number of forwarding hops of the node is less than m hops. Step S32-2. When the number of node forwarding hops is less than m hops, check the information volume of each check code and divide it by the standard information volume of binary data to obtain the number of bits of the check code, which means that the node has n connected nodes within m hops, where n is the number of bits of the check code. The number of neighboring nodes of the node is obtained according to the number of check codes; Step S32-3. Draw a connection profile of all nodes with forwarding hops less than m hops according to the number of adjacent nodes and the number of connected nodes within m hops, add nodes according to the known connection direction of the profile, so that all nodes meet the forwarding hop requirements, output the profile after adding all nodes, and obtain the power grid topology map; Step S33. Generate a power grid topology model on the cloud platform according to the power grid topology diagram, and transmit the model to the main control computer.

5. The method for intelligent supervision of a digital power system based on cloud computing according to claim 4 is characterized in that: Step S4 includes: Step S41. According to the working parameters of the electrical equipment, the loss factor of the electrical equipment is calculated according to the following formula: ； Among them, I represents the working current of the electrical equipment, P c Represents the installed capacity of electrical equipment, U N represents the rated voltage of the equipment, and θ represents the loss factor of the electrical equipment; Step S42: Substitute the input current and input voltage into the grid topology model, randomly connect the devices, calculate the working efficiency of each node according to the working parameters and loss factor of the devices, and use the annealing method to screen the simulation results: ； Where P represents the acceptance probability of the simulation result, h represents the number of simulations, E(h) and E(h+1) represent the average node work efficiency obtained from the h-th and h+1-th simulations, T is the preset control parameter, and e is the base of the natural logarithm; Step S43. After iterative calculation, select the simulation result with the highest acceptance probability as the optimal installation plan for the equipment, and reinstall all electrical equipment according to the optimal installation plan; Step S5 includes: Step S51. Change the receiving and sending protocol of the node logic chip, and the main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for one cycle, and each binary signal corresponds to a time point in the cycle; Step S52. During the latching process, when the node current exceeds the rated current of its distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal; Step S53: Check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, the logic chip issues a fuse instruction to disconnect the connection line between the collision nodes.

6. A digital power system intelligent supervision system based on cloud computing, the system executing the digital power system intelligent supervision method based on cloud computing according to claim 1, characterized in that: The system includes the following modules: information generation module, node inspection module, power distribution chip module, protocol latch module and line relay module; The information generation module is composed of a main control computer arranged in the primary power distribution equipment and a signal sensor arranged in the line node, and is used to check the number of nodes in the power system, and randomly generate a fixed-length periodic binary sequence according to the number of nodes, couple the sequence signal with the power supply current and send it to the power grid, and provide the node device with a protocol change and decoupling signal; The node inspection module is composed of a logic chip arranged at a power grid line node and a load device directly connected to the line node. After the line node receives a sequence signal sent by a main control computer, it generates the inverse code of the sequence signal according to a preset protocol and transmits it to an adjacent node. At the same time, the logic chip at each node locally superimposes the sequence signals received from all sources, calculates the total amount of information of the superimposed signals, and classifies the nodes according to the total amount of information. The power distribution chip module is used to build a topology model in the cloud according to the level of line nodes, branch the current power supply current, calculate the loss factor of the node connection device according to the shunting size and the installation capacity of the power-consuming equipment, establish a load model for all devices, perform random simulation connection on the equipment, evaluate the current conversion efficiency and the load of each node after connection, screen all simulation connection results one by one, and reconnect the circuit according to the optimal screening result; The protocol latch module is used to change the receiving and sending protocol of the node logic chip. The main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for a cycle. Each binary signal corresponds to a time point in the cycle. During the latching process, when the node current exceeds the rated current of the distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal. The line relay module is used to check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, it is determined that a line collision occurs. When the number of line collisions between adjacent nodes exceeds a threshold, the logic chip issues a fuse instruction to disconnect the connection line between the collision nodes and re-evaluate the line.

7. The cloud computing-based digital power system intelligent supervision system according to claim 6 is characterized by: The information generation module includes: a power supply management unit and a signal sensing unit; The power supply management unit is used to supply power from the distribution station to the household power grid and control the coupling and decoupling process of the power supply current; The signal sensing unit is used to provide a communication channel between the main control computer and the cloud, generate a random sequence, and verify the data feedback of the nodes in the power grid.

8. The cloud computing-based digital power system intelligent supervision system according to claim 7 is characterized by: The node inspection module includes: a node device unit, a signal processing unit and a feedback classification unit; The node device unit is used to connect a logic chip at a node where lines in a power grid intersect, and the chip receives a coupling signal of the current; The signal processing unit is used to send an inverse signal of the parsed signal from the logic chip and transmit the signal to all adjacent chips along the power grid line; The feedback grading unit is used to accumulate all signals locally, calculate the information volume of the signals, summarize all information volume calculation results in the cloud, and grade the nodes.

9. The cloud computing-based digital power system intelligent supervision system according to claim 8 is characterized by: The power distribution chip module includes: an installation evaluation unit, a simulation connection unit and a device reconnection unit; The installation evaluation unit is used to obtain the working parameters of the electrical equipment, calculate the loss factor of the equipment according to the node level to which the equipment is connected, and obtain the equipment load model from the working parameters and the loss factor; The simulation connection unit is used to construct a topology model according to the level of line nodes, and perform random access simulation of each node for all devices in the cloud; The device reconnection unit is used to screen the simulation results and reconnect the devices in the power grid according to the optimal screening results.

10. The cloud computing-based digital power system intelligent supervision system according to claim 9, characterized in that: The protocol latch module includes: a protocol change unit and a local latch unit; The protocol change unit is used to send a protocol change instruction to the node logic chip after the device is reconnected, and enter the device continuous monitoring state; The local latch unit is used to send and receive a low-level confirmation signal, latch the confirmation signal for one cycle, and change the latch signal according to the device monitoring result; The line relay module comprises: a level checking unit and an excited disconnection unit; The level checking unit is used to compare the latched signals of each node with those of all adjacent nodes, and when the signal meets the resonance condition, it is determined that the node connection line is in a short-circuit state; The stimulated disconnection unit is used to fuse the connection pins between the logic chip and the corresponding node when the node connection line is short-circuited, send a maintenance report and re-enter the device connection process.

Images