An intelligent cloud power distribution method and system based on command signaling

Abstract

The present invention discloses an intelligent cloud power distribution method and system based on command signaling. The method includes: a data acquisition module receiving power distribution request parameters from various distribution areas and sending them to an intelligent cloud measurement and control management platform; a monitoring module monitoring the power distribution operation status parameters of medium and low voltage lines and sending them to the intelligent cloud measurement and control management platform; the intelligent cloud measurement and control management platform adjusting the output power through a capacity command signaling method, and a cloud computing module optimizing the total power distribution capacity of the distribution area through an energy-saving strategy command signaling algorithm; the intelligent cloud measurement and control management platform adjusting the on and off of protective electrical appliances through a protection command signaling method, and the cloud computing module preventing accidental closing operations through a Byzantine fault-tolerant command signaling algorithm. The intelligent cloud power distribution method and system based on command signaling of the present invention adopts a "centralized management, decentralized control" management and control model, achieving intelligence, visualization, automation, and efficiency for various distribution areas.

Description

Technical Field

[0001] The present invention relates to the field of command signaling, and in particular to an intelligent cloud power distribution method and system based on command signaling. Background Art

[0002] The current power grid and power system have the following problems:

[0003] 1. The construction of power grids has lagged behind for a long time. Although the country has increased investment in power grid construction in recent years and implemented projects such as urban and rural power grid transformation, due to the rapid growth in electricity consumption, power grid construction still cannot meet the needs.

[0004] Second, my country is in the early stages of nationwide networking, which requires a transition from weak connections to strong connections. The security and stability issues of weakly connected AC systems are particularly prominent, and there is a possibility of inducing low-frequency oscillations under certain operating modes.

[0005] 3. Electromagnetic ring network issues affect the full utilization of transmission capacity. Due to the weakness of the 500 kV grid structure in some power grids, in order to ensure grid reliability, 500 kV and 220 kV electromagnetic ring networks are forced to operate. This reduces the stability of the transmission section and prevents the full utilization of the 500 kV grid.

[0006] 4. The reactive power compensation capacity of the power grid is insufficient, and the layered and zoned balance is not achieved, which affects the voltage quality and causes large voltage fluctuations in some power grids.

[0007] 5. The power supply support of the load center is insufficient, and the active and reactive power of the receiving power grid are both insufficient, affecting the safe operation of the power grid.

[0008] 6. Secondary systems present safety risks. Because my country's primary power grid is relatively weak, the secondary system must be strengthened accordingly to ensure grid safety. Therefore, grid safety places high demands on the reliability of the secondary system and is highly dependent on it. Problems in the secondary system can easily lead to grid accidents.

[0009] 7. The safe operation of the power grid is threatened by external forces. According to statistics, 70% of power transmission equipment failures in cities are caused by external forces.

[0010] 8. The quality of some equipment is not high, which affects the safe, reliable, efficient and flexible operation of the power grid to a certain extent.

[0011] Therefore, in order to solve the problems existing in the current power system, it is necessary to build a clean, low-carbon, safe and efficient energy system and a new power system with intelligent distribution. Summary of the Invention

[0012] The present invention discloses an intelligent cloud power distribution method and system based on instruction signaling, which includes the following steps:

[0013] The acquisition module receives the power distribution request parameters of each level of power distribution area and sends them to the intelligent cloud measurement and control management platform;

[0014] The monitoring module monitors the distribution operation status parameters of medium and low voltage lines and sends them to the intelligent cloud measurement and control management platform;

[0015] The intelligent cloud measurement and control management platform adjusts the output power through the capacity instruction signaling method; the cloud computing module optimizes the total distribution capacity of the distribution area through the energy-saving strategy instruction signaling algorithm;

[0016] The intelligent cloud measurement and control management platform adjusts the on and off of protective electrical appliances through the protection instruction signaling method, and the cloud computing module prevents incorrect closing operations through the Byzantine fault-tolerant instruction signaling algorithm.

[0017] Furthermore, the power distribution request parameters include single-phase power distribution capacity and three-phase power distribution capacity; the power distribution operation status parameters include residual current values ​​of power distribution areas at all levels and short-circuit current values ​​of power distribution areas at all levels.

[0018] Voltage levels are the rated voltage levels for power systems and equipment. Rated voltage is the specified normal voltage for power systems and equipment, specifically the nominal voltage associated with certain operating characteristics of the power system and equipment. The actual operating voltage at various points in the power system is permitted to deviate from the rated voltage to a certain extent. Within this permissible deviation, various power equipment and the power system itself can still operate normally.

[0019] Commonly used voltage levels in my country include 220V, 380V, 6kV, 10kV, 35kV, 110kV, 220kV, 330kV, 500kV, and 1000kV. The voltage levels of medium and low voltage lines range from 220V to 10kV.

[0020] The three-phase, four-wire system refers to the transmission lines commonly used in low-voltage distribution networks. The three wires represent phases A, B, and C, respectively, and the other is the neutral line (N) or PEN. If the neutral point on the power supply side of the circuit is grounded, the neutral line is also called the neutral line. It's important to note that the term "neutral line" is an outdated term and should be gradually avoided in favor of the PEN line. If it's not grounded, the neutral line cannot, strictly speaking, be called the neutral line.

[0021] Single-phase power transmission lines entering users have two wires: one is called the phase line (L), and the other is called the neutral line (N). Under normal circumstances, the neutral line carries current, forming a loop for the current in the single-phase line. In a three-phase system, when the three phases are balanced, the neutral line (neutral line) is current-free, hence the name three-phase four-wire system. In 380V low-voltage distribution networks, the neutral line is used to derive 220V phase voltage from the 380V line voltage. In some cases, it can also be used for zero-sequence current detection to monitor the balance of the three-phase power supply. Typical conductor colors are: yellow for phase A, green for phase B, red for phase C, lavender for the neutral line, and yellow-green for the PE line.

[0022] Based on the number of phases connected to the load, it is easy to see that loads are divided into single-phase loads and three-phase loads. Therefore, when determining load capacity, it is necessary to divide it into single-phase distribution capacity and three-phase distribution capacity. Therefore, the circuit breakers directly connected to the load can also be divided into single-phase circuit breakers and three-phase circuit breakers. Therefore, the capacity instruction signaling method can be divided into the following steps:

[0023] A single-phase power distribution instruction is sent via the Internet to the intelligent power distribution cabinet within the power distribution area where the power distribution request parameters are sent, so that the intelligent power distribution cabinet connects to the single-phase circuit breaker switch in the area; a three-phase power distribution instruction is sent via the Internet to the intelligent power distribution cabinet within the power distribution area where the power distribution request parameters are sent, so that the intelligent power distribution cabinet connects to the three-phase circuit breaker switch in the area.

[0024] In the current era of energy conservation and emission reduction, it is necessary to further optimize the power distribution system to reduce energy depletion. Therefore, it is necessary to introduce an energy-saving strategy instruction signaling algorithm. The energy-saving strategy instruction signaling algorithm includes the following steps:

[0025] Obtain the requested power consumption Q of the distribution area and calculate the total annual power consumption of the distribution area in the past five years;

[0026] The total electricity consumption J for this year is predicted through regression analysis;

[0027] The terminal circuit breaker is driven to disconnect the standby load switch through the Internet of Things command signal, thereby reducing the amount of standby load access. The reduced standby load power consumption is QJ.

[0028] After ensuring that electricity users receive the power they need, the next step is to ensure the safety of the entire power distribution system. Therefore, while using residual current operated protective devices and short-circuit protectors to protect electrical appliances, a method for sending protection instructions is required. This method includes the following steps:

[0029] Determine whether the residual current value of each level of distribution area is greater than 300mA. If it is greater than 300mA, send a residual current action instruction via the Internet to the residual current action protector of the intelligent distribution cabinet in the distribution room where the residual current value is greater than 300mA, and disconnect the switch to activate the residual current action protector;

[0030] Determine whether the short-circuit current value of each distribution area is greater than 10kA. If it is greater than 10kA, send a short-circuit protector action instruction via the Internet to the short-circuit protector of the smart distribution cabinet in the distribution area where the short-circuit current value is greater than 10kA. The switch is disconnected to activate the short-circuit protector.

[0031] In recent years, accidents caused by misclosing have occurred frequently. To prevent such incidents from happening again, the present invention introduces a Byzantine fault-tolerant instruction signaling algorithm, which includes the following steps:

[0032] The system calculates the number f of terminal distribution nodes in the distribution area where the residual current exceeds 300mA;

[0033] The secondary distribution node counts the number of residual current closing requests received and sends the closing requests to the remaining secondary distribution nodes in a multicast manner. The closing request includes a reply instruction, which requires the remaining secondary distribution nodes to respond and send the response to the terminal IoT circuit breaker that is directly connected to the residual current exceeding 300mA.

[0034] The terminal Internet of Things circuit breaker records the number of responses received, and drives the residual current action protector to operate when and only when the number of responses is greater than or equal to f+1.

[0035] On the other hand, another technical solution adopted by the present invention is to provide a cloud power distribution method and system based on instruction signaling, the system comprising:

[0036] Acquisition module: Receives power distribution request parameters from power distribution areas at all levels and sends them to the intelligent cloud measurement and control management platform;

[0037] Monitoring module: The monitoring module monitors the distribution operation status parameters of medium and low voltage lines and sends them to the intelligent cloud measurement and control management platform;

[0038] Intelligent cloud measurement and control management platform: Receives data from the acquisition module and monitoring module through the client-side running program; sends single-phase distribution instructions, three-phase distribution instructions, residual current action instructions, and short-circuit protector action instructions to the intelligent distribution cabinet through the client-side running program;

[0039] Power grid: used to transmit electric energy to distribution areas at all levels;

[0040] Smart distribution cabinet: Receives instructions from the intelligent cloud measurement and control management platform and removes weights with zero or near-zero resource usage. This "pruning" technique reduces weights that have little impact on accuracy, achieving a sparse pattern without compromising accuracy. Utilizing fine-grained structured sparsity and the supported 2:4 mode, each smart distribution cabinet performs the same number of memory accesses and calculation results in sparse mode to balance the workload distribution of the smart distribution cabinet and the utilization of the computing nodes. In addition, the compressed structured sparse matrix doubles the throughput of the compressed matrix multiplication and accumulation operations, and the sparse tensor core ensures the safety of the power distribution process and that the power distribution capacity meets the needs of the distribution area.

[0041] It can be seen from the above technical solutions that the present invention has at least the following advantages and positive effects compared with the prior art:

[0042] 1. The present invention adopts Internet technology and combines real-time monitoring by front-end sensors with cloud computing and artificial intelligence systems, which greatly reduces the workload of daily patrol personnel.

[0043] 2. The present invention utilizes big data and cloud computing platforms to connect the monitoring center and the client to achieve real-time monitoring of the substations under its jurisdiction, so as to facilitate the timely discovery of dangerous hidden dangers in advance and ensure safe production.

[0044] 3. The present invention adopts a three-level architecture of the main station center, transmission network and distribution room, realizing the management and control mode of "centralized management and decentralized control", and realizing centralized monitoring and unified management of distribution areas at all levels.

[0045] 4. This invention highly integrates technologies such as "cloud, big data, Internet of Things, mobile, and intelligence", and based on a centralized monitoring and management platform with multi-source data collaboration, it realizes the intelligence, visualization, automation and efficiency of power distribution technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive work, among which:

[0047] Figure 1 This is a flow chart of an intelligent cloud power distribution method based on instruction signaling provided by one embodiment of the present invention;

[0048] Figure 2 is a flow chart of a method for sending a capacity instruction provided by another embodiment of the present invention;

[0049] Figure 3is a flowchart of a method for sending a protection instruction provided by another embodiment of the present invention;

[0050] Figure 4 This is a structural diagram of an intelligent cloud power distribution system based on instruction sending provided by another embodiment of the present invention. DETAILED DESCRIPTION

[0051] 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 any creative efforts shall fall within the scope of protection of the present invention.

[0052] Example 1

[0053] Figure 1 A flowchart of an intelligent cloud power distribution method based on instruction signaling is provided in accordance with an embodiment of the present invention. The method comprises the following steps:

[0054] S1: The acquisition module receives the power distribution request parameters of each level of power distribution area and sends them to the intelligent cloud measurement and control management platform;

[0055] S2: The monitoring module monitors the distribution operation status parameters of medium and low voltage lines and sends them to the intelligent measurement and cloud control management platform;

[0056] S3: The intelligent cloud measurement and control management platform adjusts the output power by sending capacity instructions. The cloud computing module optimizes the total distribution capacity of the distribution area by sending energy-saving strategy instructions.

[0057] S4: The intelligent cloud measurement and control management platform adjusts the on and off of protective electrical appliances through the protection instruction signaling method, and the cloud computing module prevents incorrect closing operations through the Byzantine fault-tolerant instruction signaling algorithm.

[0058] Example 2

[0059] Figure 2 A flow chart of sending a capacity instruction according to another embodiment of the present invention is provided. The method includes the following steps:

[0060] S30: Sending a single-phase power distribution instruction to an intelligent power distribution cabinet in the power distribution area where the power distribution request parameter is sent via the Internet, so that the intelligent power distribution cabinet turns on the single-phase circuit breaker switch in the area;

[0061] S31: Sending a three-phase power distribution instruction to an intelligent power distribution cabinet in a power distribution area where the power distribution request parameter is sent via the Internet, so that the intelligent power distribution cabinet turns on a three-phase circuit breaker switch in the area.

[0062] Three-phase imbalance refers to the inconsistency of the three-phase current or voltage amplitudes in the power system, and the amplitude difference exceeds the specified range. The hazards of three-phase imbalance can be divided into:

[0063] Harm to transformers: In production, power transmission and distribution, and household applications, unbalanced three-phase loads can cause the transformer to operate in an asymmetrical state, increasing transformer losses (both no-load and loaded). According to transformer operating regulations, the neutral current of a transformer during operation must not exceed 25% of the rated current on the transformer's low-voltage side. Furthermore, unbalanced three-phase load operation can cause excessive zero-sequence current in the transformer, leading to increased heating of local metal components and even transformer burnout.

[0064] Impact on Electrical Equipment: Three-phase voltage imbalance can lead to several times greater current imbalance. This can induce reverse torque in the motor, leading to increased motor temperature, reduced efficiency, increased energy consumption, vibration, and output loss. Phase imbalance shortens the life of electrical equipment, accelerates component replacement, and increases maintenance costs. Circuit breakers can reduce their current capacity, making overloads and short circuits more likely to occur during load changes or alternations. Excessive unbalanced current flowing into the neutral line can cause it to thicken.

[0065] Impact on line loss: In a three-phase, four-wire system, line loss is minimized when the three phases are balanced. When one phase is heavily loaded and two phases are lightly loaded, line loss increases slightly. When one phase is heavily loaded, one phase is lightly loaded, and the third phase is evenly loaded, line loss increases significantly. When one phase is lightly loaded and two phases are heavily loaded, line loss increases significantly. When the three phases are unbalanced, regardless of the load distribution, the greater the current imbalance, the greater the line loss.

[0066] The reason for three-phase imbalance is that a distribution node distributes power to both single-phase and three-phase loads. Therefore, to completely solve the problem of three-phase imbalance, it is necessary to distinguish the loads as single-phase loads and three-phase loads and supply power to them separately. Therefore, when sending distribution instructions, they need to be divided into single-phase distribution instructions and three-phase distribution instructions.

[0067] Example 3

[0068] Figure 3 A flowchart of sending a protection instruction according to another embodiment of the present invention is provided. The method includes the following steps:

[0069] S40: Determine whether the residual current value of each distribution area is greater than 300 mA. If so, send a residual current action instruction via the Internet to the residual current action protector of the intelligent distribution cabinet in the distribution room where the residual current value is greater than 300 mA, and disconnect the switch to activate the residual current action protector.

[0070] S41: Determine whether the short-circuit current value of each level of distribution area is greater than 10kA. If it is greater than 10kA, send a short-circuit protector action instruction via the Internet to the short-circuit protector of the intelligent distribution cabinet in the distribution area where the short-circuit current value is greater than 10kA, and disconnect the switch to activate the short-circuit protector.

[0071] Residual current refers to the current in medium- and low-voltage distribution lines where the vector sum of the currents in each phase (including the neutral) is non-zero. Generally speaking, when an accident occurs on the power supply side, current flows from the charged body through the human body to the ground, causing the phase and neutral currents in the main circuit's incoming and outgoing lines to become unequal. The instantaneous vector sum of the currents is called residual current, commonly known as leakage current.

[0072] A residual current operated protector is a mechanical switch or combination device that automatically disconnects the circuit when the residual current reaches or exceeds a given value under specified conditions. It is also called a leakage protector.

[0073] A short circuit occurs when two points of different potential in a normal circuit are inadvertently connected directly or by a conductor with very low impedance (or resistance). The current intensity during a short circuit is very high, often damaging electrical equipment or causing fires. During power system operation, an abnormal connection (i.e., a short circuit) occurs between phases or between a phase and ground (or neutral), causing extremely high currents to flow. The current value can be significantly greater than the rated current and depends on the electrical distance of the short-circuit point from the power source. For example, when a short circuit occurs at the generator terminal, the maximum instantaneous short-circuit current flowing through the generator can reach 10 to 15 times the rated current. In large-capacity power systems, short-circuit currents can reach tens of kiloamperes, severely impacting the normal operation of the power system.

[0074] There are four basic types of short circuits that can occur in three-phase systems: three-phase short circuit, two-phase short circuit, single-phase-to-ground short circuit, and two-phase-to-ground short circuit. With the exception of a three-phase short circuit, where the three-phase circuit remains symmetrical, known as a symmetrical short circuit, the other three types are asymmetrical short circuits. In power networks with grounded neutral points, single-phase-to-ground short circuits are the most common, accounting for approximately 90% of all faults. In power networks with non-solid neutral grounding, short circuits primarily involve various phase-to-phase short circuits.

[0075] When a short circuit occurs, the power system typically transitions from a normal stable state to a short-circuit stable state, typically taking 3 to 5 seconds. During this transient process, the short-circuit current varies in a complex manner. It has multiple components, and its calculation requires the use of a computer. The maximum instantaneous value of the short-circuit current, known as the surge current, occurs approximately half a cycle (0.01 second) after the short circuit. This current generates a significant electromotive force, the magnitude of which can be used to verify the dynamic stability of mechanical stresses in electrical equipment during a short circuit. The analysis and calculation of short-circuit current is a crucial aspect of power system analysis. It provides an effective tool for selecting electrical equipment, setting relay protection, and analyzing accidents during power system planning, design, and operation.

[0076] When a short circuit occurs in the power supply network, the large short-circuit current will cause electrical equipment to overheat or be damaged by electric force, and at the same time greatly reduce the voltage in the network, thereby disrupting the normal operation of electrical equipment in the network.

[0077] Short-circuit protectors (SCPDs) effectively overcome the drawbacks of traditional circuit breakers, air switches, and monitoring equipment, such as high short-circuit currents. When a short-circuit occurs, they can rapidly limit the short-circuit current in microseconds to extinguish the arc. Therefore, to eliminate or mitigate the consequences of short circuits, SCPDs are necessary within the power distribution system.

[0078] Example 4

[0079] Figure 4A schematic structural diagram of an intelligent cloud power distribution system based on instruction signaling is provided for another embodiment of the present invention. The system includes a data acquisition module 100, a monitoring module 200, an intelligent cloud measurement and control management platform 300, a power grid 400, an intelligent power distribution cabinet 500, and a cloud computing module 600. The intelligent power distribution cabinet 500 is a power distribution cabinet that can collect power distribution system operation data through the Internet. Through the display unit, the power grid operation and other data are reflected in real time, and uploaded to the background environmental control system through digital communication to achieve real-time monitoring of the entire power distribution system and effective management of the operation quality. It is mainly used for important customers such as telecommunications, finance, government and IT, such as IDC data centers or industrial enterprises, to provide power distribution, distribution circuit protection, metering, management and other services for important loads such as network servers and data interaction equipment. It is widely used in fields such as high power supply reliability requirements and uninterrupted power supply. Furthermore, in the intelligent cloud power distribution system based on command signaling, the acquisition module 100 is used to receive power distribution request parameters from various distribution areas and transmit them to the intelligent cloud measurement and control management platform 300. The monitoring module 200 is used to monitor the distribution operation status parameters of medium and low voltage lines and transmit them to the intelligent cloud measurement and control management platform 300. The intelligent cloud measurement and control management platform 300 receives data obtained by the acquisition and monitoring modules through a client program. The client program also transmits single-phase distribution instructions, three-phase distribution instructions, residual current operation instructions, and short-circuit protector operation instructions to the intelligent distribution cabinet. The cloud computing module 600 runs the energy-saving strategy command signaling algorithm and the Byzantine fault tolerance command signaling algorithm. The power grid 400 is used to transmit power to various distribution areas. The intelligent distribution cabinet 500 receives commands from the intelligent cloud measurement and control management platform 300 to ensure the safety of the power distribution process and that the distribution capacity meets the requirements of the distribution area.

[0080] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention's description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An intelligent cloud power distribution method based on instruction signaling, characterized in that: The following steps are involved: S1: The acquisition module receives the power distribution request parameters of each level of power distribution area and sends them to the intelligent cloud measurement and control management platform; S2: The monitoring module monitors the distribution operation status parameters of the medium and low voltage lines and sends them to the intelligent cloud measurement and control management platform; wherein the distribution operation status parameters include the residual current value and the short-circuit current value of each distribution area; S3: The intelligent cloud measurement and control management platform adjusts the output power through a capacity instruction signaling method, and the cloud computing module optimizes the total power distribution capacity of the power distribution area through an energy-saving strategy instruction signaling algorithm; wherein the capacity instruction signaling method includes the following steps: S30: Sending a single-phase power distribution instruction to an intelligent power distribution cabinet in the power distribution area where the power distribution request parameter is sent via the Internet, so that the intelligent power distribution cabinet turns on the single-phase circuit breaker switch in the area; S31: Sending a three-phase power distribution instruction to an intelligent power distribution cabinet in the power distribution area where the power distribution request parameter is sent via the Internet, so that the intelligent power distribution cabinet turns on the three-phase circuit breaker switch in the area; The energy-saving strategy instruction signaling algorithm includes the following steps: S32: Obtain the requested power consumption Q of the distribution area and calculate the total power consumption of the distribution area in each of the past five years; S33: The total electricity consumption J of this year is predicted through regression analysis; S34: driving the terminal circuit breaker to disconnect the standby load switch through the Internet of Things command signal, thereby reducing the amount of standby load access, where the reduced standby load power consumption is QJ; S4: The intelligent cloud measurement and control management platform adjusts the on / off of protective electrical appliances through the protection instruction signaling method. The cloud computing module uses the Byzantine fault-tolerant instruction signaling algorithm to prevent accidental closing operations. The Byzantine fault-tolerant instruction signaling algorithm includes the following steps: S42: The system calculates the number f of terminal distribution nodes in the distribution area where the residual current exceeds 300 mA; S43: The secondary distribution node counts the number of residual current closing requests received and sends the closing requests to the remaining secondary distribution nodes in a multicast manner. The closing request includes a reply instruction, which requires the remaining secondary distribution nodes that have received the instruction to respond. The response is sent to the terminal IoT circuit breaker that is directly connected to the residual current exceeding 300mA. S44: The terminal IoT circuit breaker records the number of responses received, and drives the residual current action protector to operate when and only when the number of responses is greater than or equal to f+1.

2. The method according to claim 1, wherein the power distribution request parameter in step S1 is characterized in that: Including single-phase distribution capacity and three-phase distribution capacity.

3. The method according to claim 1, wherein the protective electrical device in step S4 is characterized in that: Including residual current protection device and short circuit protection device.

4. The method according to claim 1, wherein the protection instruction sending method in step S4 is characterized in that: The following steps are involved: S40: Determine whether the residual current value of each distribution area is greater than 300mA. If so, send a residual current action instruction via the Internet to the residual current action protector of the intelligent distribution cabinet in the distribution room where the residual current value is greater than 300mA. The switch is disconnected, and the residual current action protector is actuated. S41: Determine whether the short-circuit current value of each level of distribution area is greater than 10kA. If it is greater than 10kA, send a short-circuit protector action instruction via the Internet to the short-circuit protector of the intelligent distribution cabinet in the distribution area where the short-circuit current value is greater than 10kA. The switch is disconnected and the short-circuit protector is activated.

5. An intelligent cloud power distribution system based on command signaling, characterized in that: include: Acquisition module: Receives power distribution request parameters from power distribution areas at all levels and sends them to the intelligent cloud measurement and control management platform; Monitoring module: The monitoring module monitors the distribution operation status parameters of medium and low voltage lines and sends them to the intelligent cloud measurement and control management platform. The distribution operation status parameters include the residual current value and the short-circuit current value of each distribution area. Cloud computing module: optimizes the total distribution capacity of the distribution area through an energy-saving strategy instruction signaling algorithm; prevents erroneous closing operations through a Byzantine fault-tolerant instruction signaling algorithm; wherein the energy-saving strategy instruction signaling algorithm includes the following steps: S32: Obtain the requested power consumption Q of the distribution area and calculate the total power consumption of the distribution area in each of the past five years; S33: The total electricity consumption J of this year is predicted through regression analysis; S34: driving the terminal circuit breaker to disconnect the standby load switch through the Internet of Things command signal, thereby reducing the amount of standby load access, where the reduced standby load power consumption is QJ; The Byzantine fault-tolerant instruction signaling algorithm includes the following steps: S42: The system calculates the number f of terminal distribution nodes in the distribution area where the residual current exceeds 300 mA; S43: The secondary distribution node counts the number of residual current closing requests received and sends the closing requests to the remaining secondary distribution nodes in a multicast manner. The closing request includes a reply instruction, which requires the remaining secondary distribution nodes that have received the instruction to respond. The response is sent to the terminal IoT circuit breaker that is directly connected to the residual current exceeding 300mA. S44: The terminal IoT circuit breaker records the number of responses received, and drives the residual current operated protector to operate only when the number of responses is greater than or equal to f+1; Intelligent cloud measurement and control management platform: Receives data from the acquisition module and monitoring module through the client-side running program; sends single-phase distribution instructions, three-phase distribution instructions, residual current action instructions, and short-circuit protector action instructions to the intelligent distribution cabinet through the client-side running program; Power grid: used to transmit electric energy to distribution areas at all levels; Smart distribution cabinets: Receive instructions from the intelligent cloud measurement and control management platform and remove weights with zero or near-zero resource usage. This "pruning" technique reduces weights that have little impact on accuracy, achieving a sparse pattern without compromising accuracy. Utilizing fine-grained structured sparsity and the supported 2:4 mode, each smart distribution cabinet performs the same number of memory accesses and calculation results in sparse mode to balance the workload distribution of the smart distribution cabinet and the utilization of the computing nodes. In addition, compressed structured sparse matrices double the throughput of compressed matrix multiplication and accumulation operations, and sparse tensor cores ensure the safety of the power distribution process and that the power distribution capacity meets the needs of the distribution area.

6. A client comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

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