A low-voltage power grid dynamic voltage regulation method and system based on intelligent circuit breaker

Abstract

The present application relates to the technical field of low-voltage power grid intelligent control, and particularly relates to a low-voltage power grid dynamic voltage regulation method and system based on an intelligent circuit breaker, which first acquires a self state table periodically broadcast by other nodes in the low-voltage power grid, then updates a local maintained neighborhood state view table according to the received self state table, detects whether there is a voltage regulation requirement, and if there is, obtains an auxiliary node based on the neighborhood state view table, and finally sends a help signal to the auxiliary node, the help signal being used to request the auxiliary node to perform auxiliary voltage regulation. The present application adopts a decentralized distributed collaborative mechanism, can quickly respond to voltage fluctuations caused by random loads of residential electricity, and solves the problem that it is difficult to dynamically regulate due to random and dispersed loads on the user side of the low-voltage power grid in the prior art.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for low-voltage power grids, and in particular to a method and system for dynamic voltage regulation of low-voltage power grids based on intelligent circuit breakers. Background Technology

[0002] In low-voltage power grids, voltage regulation faces significant unique challenges: it directly serves end users and must ensure the stable operation of electrical equipment used by residents and businesses, requiring voltage quality far exceeding that of high-voltage transmission networks; simultaneously, low-voltage power grids have dense nodes and numerous branches, requiring voltage regulation to cover scenarios with multiple dispersed nodes, and user-side loads exhibit significant randomness and volatility—the start-up and shutdown times and power demands of such loads are difficult to predict, easily leading to sudden increases or decreases in local voltage (e.g., concentrated charging of electric vehicles may cause short-term overvoltage on the bus, while simultaneous shutdown of high-power appliances may cause undervoltage).

[0003] The randomness of residential electricity consumption and the characteristics of multi-node decentralized control bring multiple challenges to low-voltage power grid voltage regulation: On the one hand, the unpredictability of random loads on the user side makes it difficult for traditional static voltage regulation strategies to track voltage changes in real time, which can easily lead to voltage regulation lag or over-regulation. On the other hand, in multi-node decentralized control scenarios, each voltage regulation device makes independent decisions and lacks global coordination, which may lead to local voltage over-regulation or waste of voltage regulation resources, further aggravating voltage fluctuations and affecting the reliability of user equipment.

[0004] Therefore, a new intelligent control technology for low-voltage power grids is needed to address the problem of random and dispersed loads on the user side of low-voltage power grids. Summary of the Invention

[0005] Therefore, the present invention provides a method and system for dynamic voltage regulation of low-voltage power grids based on intelligent circuit breakers, in order to solve the problem in the prior art that it is difficult to dynamically regulate the load on the user side of low-voltage power grids due to the randomness and dispersion of the load.

[0006] This invention provides a method for dynamic voltage regulation of low-voltage power grids based on intelligent circuit breakers, comprising:

[0007] Obtain the self-state table periodically broadcast by other nodes in the low-voltage power grid, where the node is a smart circuit breaker in the low-voltage power grid, and the self-state table is used to represent the state information of a smart circuit breaker.

[0008] Based on the received self-state table, update the locally maintained neighborhood state view table. The neighborhood state view table is used to represent the state information of the smart circuit breakers in the neighborhood of a smart circuit breaker.

[0009] Detect whether there is a voltage regulation requirement; if so, obtain the auxiliary node based on the neighborhood state view table.

[0010] Send a distress signal to the auxiliary node. The distress signal is used to request the auxiliary node to perform auxiliary voltage regulation.

[0011] In a preferred implementation: the fields in both the self-state table and the neighborhood state view table include the node's unique identifier, node electrical parameters, voltage regulation capability identifier, and table update time; the fields in the neighborhood state view table also include the node hop count.

[0012] In a preferred implementation: Based on the received self-state table, the locally maintained neighborhood state view table is updated, including:

[0013] Verify the number of hops in the received self-state table. If the number of hops exceeds a preset threshold, discard the self-state table.

[0014] If the number of hops does not exceed the preset threshold, check if there is an entry in the neighborhood state view table that is the same as the unique identifier of its own state table.

[0015] If there is no entry with the same unique identifier, then add its own state table and the corresponding hop count as a new entry in the neighborhood state view table;

[0016] If there are entries with the same unique identifier, compare the update time of that entry with the table update time of its own state table;

[0017] If the table corresponding to the entry is the most recently updated, then discard the entry's own status table.

[0018] If the received self-state table has the latest update time, then the entry is overwritten with the self-state table and the corresponding hop count.

[0019] Based on the table update time, delete expired entries in the neighborhood status view table.

[0020] In a preferred implementation: The system detects whether a voltage regulation requirement exists; if so, it obtains auxiliary nodes based on a neighborhood state view table, including:

[0021] Detect whether there is a voltage regulation demand. If so, initialize the voltage regulation decision table, which is used to represent the status information of the current voltage regulation demand.

[0022] Auxiliary nodes are obtained based on the voltage regulation decision table and the neighborhood state view table.

[0023] In a preferred implementation: the fields in the voltage regulation decision table include a unique identifier for voltage regulation demand, a unique identifier corresponding to the voltage regulation demand node, voltage regulation electrical parameters, and voltage regulation capacity demand identifier; auxiliary nodes are obtained based on the voltage regulation decision table and the neighborhood state view table, including:

[0024] Based on the voltage regulation electrical parameter field in the voltage regulation decision table and the node electrical parameter field in the neighborhood state view table, the voltage correlation and load adaptability of each node in the neighborhood state view table are obtained.

[0025] Based on the voltage regulation capacity requirement identifier field in the voltage regulation decision table and the voltage regulation capacity identifier field in the neighborhood status view table, the voltage regulation capacity matching degree of each node in the neighborhood status view table is obtained.

[0026] Auxiliary nodes are obtained based on the node jump number segments in the neighborhood state view table, the voltage correlation of each node, the load adaptability, and the voltage regulation capability matching degree.

[0027] In a preferred implementation: the fields in the voltage regulation decision table also include a voltage regulation status identifier, a cumulative number of voltage regulation cycles, and a list of selected auxiliary nodes; it checks whether there is a voltage regulation requirement, and if so, obtains auxiliary nodes based on the neighborhood status view table, and also includes:

[0028] Obtain the feedback signal after the auxiliary node performs auxiliary voltage regulation, and update the voltage regulation status identifier field and the selected auxiliary node list field in the voltage regulation decision table according to the feedback signal;

[0029] Check again if there is a voltage regulation requirement. If so, remove the node from the selected auxiliary node list from the neighborhood state view table, and re-execute the step of obtaining the auxiliary node based on the voltage regulation decision table and the neighborhood state view table, and update the cumulative voltage regulation count field.

[0030] In a preferred implementation: detecting whether a voltage regulation requirement exists; if so, obtaining auxiliary nodes based on a neighborhood state view table; and further including:

[0031] If the value in the cumulative voltage regulation count field reaches the upper limit, or if there is no node in the neighborhood status view table that can be used as a new auxiliary node, then:

[0032] Based on the voltage regulation decision table and the list of selected auxiliary nodes, a voltage regulation demand initialization signal is sent to the selected auxiliary nodes. The voltage regulation demand initialization signal is used to establish voltage regulation demand in the auxiliary nodes and initialize the voltage regulation decision table in the auxiliary nodes.

[0033] The present invention also provides a low-voltage power grid dynamic voltage regulation system based on a smart circuit breaker, comprising:

[0034] The broadcast receiving module is used to obtain the self-state table periodically broadcast by other nodes in the low-voltage power grid. The node is a smart circuit breaker in the low-voltage power grid, and the self-state table is used to represent the state information of a smart circuit breaker.

[0035] The local maintenance module is used to update the locally maintained neighborhood status view table based on the received self-status table. The neighborhood status view table is used to represent the status information of the neighboring smart circuit breakers of a smart circuit breaker.

[0036] The demand analysis module is used to detect whether there is a voltage regulation demand. If so, it obtains auxiliary nodes based on the neighborhood status view table.

[0037] The auxiliary request module is used to send a help signal to the auxiliary node, which requests the auxiliary node to perform auxiliary voltage regulation.

[0038] The present invention also provides an electronic device, comprising:

[0039] Memory and processor;

[0040] The memory is used to store the program, and the processor is used to execute the steps in any of the above-mentioned low-voltage power grid dynamic voltage regulation methods based on smart circuit breakers when the program is executed.

[0041] The present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in any of the above-described methods for dynamic voltage regulation of low-voltage power grids based on intelligent circuit breakers.

[0042] The beneficial effects of adopting the above scheme are:

[0043] This invention provides a dynamic voltage regulation method for low-voltage power grids based on smart circuit breakers. First, it acquires the self-state tables periodically broadcast by other nodes in the low-voltage power grid, where each node is a smart circuit breaker. The self-state table represents the state information of a smart circuit breaker. Then, based on the received self-state table, it updates the locally maintained neighborhood state view table, which represents the state information of neighboring smart circuit breakers. It then detects whether there is a voltage regulation requirement. If so, it obtains an auxiliary node based on the neighborhood state view table. Finally, it sends a request for assistance to the auxiliary node, requesting the auxiliary node to perform auxiliary voltage regulation. This invention achieves real-time perception and distributed sharing of low-voltage power grid node status by periodically broadcasting its own status table among intelligent circuit breakers and maintaining a neighborhood status view table. This ensures that voltage regulation decisions are based on the latest and most comprehensive power grid operation data. Employing a decentralized distributed collaborative mechanism, demand nodes can autonomously analyze the neighborhood status view and accurately select auxiliary nodes with voltage regulation capabilities, avoiding the dependence on the master station in traditional centralized control. Through the collaborative voltage regulation operations of auxiliary nodes, it can quickly respond to voltage fluctuations caused by random residential loads, effectively solving the voltage limit exceeding problem in multi-node decentralized control scenarios of low-voltage power grids. This improves the accuracy and response speed of voltage regulation, and realizes automated closed-loop control of the voltage regulation process. It not only ensures voltage quality on the user side but also enhances the reliability and adaptability of power grid operation, solving the problem of difficulty in dynamic adjustment caused by the random and dispersed nature of user-side loads in low-voltage power grids in existing technologies. Attached Figure Description

[0044] Figure 1 A flowchart of the method for dynamic voltage regulation of low-voltage power grids based on intelligent circuit breakers provided by the present invention;

[0045] Figure 2 for Figure 1 A detailed step diagram of step S102 is shown below;

[0046] Figure 3 for Figure 1 A detailed step diagram of step S103 is shown below;

[0047] Figure 4 The system architecture diagram of the low-voltage power grid dynamic voltage regulation system based on intelligent circuit breakers provided by the present invention is shown. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Combination Figure 1 As shown, a specific embodiment of the present invention discloses a method for dynamic voltage regulation of a low-voltage power grid based on a smart circuit breaker, comprising:

[0050] S101. Obtain the self-state table periodically broadcast by other nodes in the low-voltage power grid, where the node is a smart circuit breaker in the low-voltage power grid, and the self-state table is used to represent the state information of a smart circuit breaker.

[0051] S102. Update the locally maintained neighborhood status view table according to the received self-status table. The neighborhood status view table is used to represent the status information of the neighboring smart circuit breakers of a smart circuit breaker.

[0052] S103. Detect whether there is a voltage regulation requirement. If so, obtain the auxiliary node based on the neighborhood state view table.

[0053] S104. Send a distress signal to the auxiliary node. The distress signal is used to request the auxiliary node to perform auxiliary voltage regulation.

[0054] Intelligent circuit breakers are intelligent protection devices that integrate modern electronic technology, sensor technology, communication technology, and automatic control technology on the basis of traditional low-voltage / high-voltage circuit breakers. They not only have the basic functions of traditional circuit breakers, such as circuit switching and overload / short-circuit protection, but also can collect real-time power grid operation data (such as current, voltage, temperature, contact wear, etc.) through built-in microprocessors, sensors (such as current / voltage / temperature sensors), and communication modules (such as wireless or wired interfaces). They also support intelligent features such as remote control, status monitoring, fault early warning, data interaction, and energy management. The core advantage of this invention, which utilizes an intelligent circuit breaker, lies in its inherent integration of "sensing-decision-execution" capabilities. It can accurately sense key status information such as local voltage, current, and load as a grid node, and achieve status information sharing and coordination among neighboring nodes through a periodic broadcast mechanism. Simultaneously, relying on its built-in voltage regulation modules (such as distributed voltage regulators, reactive power compensation, and energy storage interfaces), it can quickly respond to voltage regulation commands. Therefore, in low-voltage grid dynamic voltage regulation scenarios, it not only overcomes the limitations of traditional circuit breakers that can only passively protect and cannot actively participate in grid regulation, but also achieves rapid detection of voltage exceedances, precise selection of auxiliary nodes, and coordinated optimization of voltage regulation operations through the autonomous coordination of distributed intelligent nodes. This significantly improves the real-time performance, accuracy, and adaptability of low-voltage grid voltage regulation.

[0055] It is understandable that the above process operates within a smart circuit breaker in a low-voltage power grid, and is described based on the smart circuit breaker as the main component (hereinafter referred to as this node). However, from an overall perspective, when a low-voltage power grid is composed of smart circuit breakers operating using the above method, its dynamic voltage regulation process is as follows:

[0056] Each smart circuit breaker periodically broadcasts its own operating status information, i.e., its own status table, to neighboring nodes. Each smart circuit breaker then receives and maintains the status information from neighboring nodes, forming a local neighborhood status view. It then identifies the demand node corresponding to the abnormal circuit breaker experiencing a voltage over-limit, selects an auxiliary node based on its local neighborhood status view, and sends a voltage regulation request signal to the auxiliary node. Other smart circuit breakers corresponding to the auxiliary node perform local voltage regulation operations based on the received voltage regulation request signal. This forms a decentralized, self-organizing voltage regulation network that does not rely on any single master node, has high communication redundancy, and is suitable for low-voltage distribution network scenarios with extremely high reliability and real-time requirements.

[0057] Specifically, in a preferred embodiment, the fields in both the self-state table and the neighborhood state view table include the node's unique identifier, node electrical parameters, voltage regulation capability identifier, and table update time. The fields in the neighborhood state view table also include the node hop count.

[0058] In the above fields, the unique identifier is used to identify the node. Node electrical parameters refer to parameter data related to the actual electrical operating state of the node, such as output voltage, output current, and load power. The voltage regulation capability identifier indicates the node's voltage regulation capability, such as 1 indicating distributed voltage regulation, 2 indicating energy storage, and 3 indicating reactive power compensation. The table update time indicates the last update time of the data in this table. The node hop count refers to the number of hops it takes for a node's broadcast status table to be forwarded to this node; it can also be understood as the distance of information forwarding between two nodes. For example, when a node broadcasts its own status table, the hop count for each message is 0, and the hop count increases by 1 for each forwarding by a node. Control based on the hop count can avoid insufficient bandwidth during broadcasting, prevent loop forwarding, and reduce data redundancy.

[0059] Specifically, combined Figure 2 In a preferred embodiment, step S102, updating the locally maintained neighborhood state view table according to the received self-state table, specifically includes:

[0060] S201. Verify the hop count of the received self-state table. If the hop count exceeds a preset threshold, discard the self-state table.

[0061] S202. If the number of hops does not exceed the preset threshold, check if there is an entry in the neighborhood state view table that is the same as the unique identifier of its own state table.

[0062] S203. If there is no entry with the same unique identifier, then add its own state table and the corresponding hop count as a new entry in the neighborhood state view table.

[0063] S204. If there are entries with the same unique identifier, compare the update time of that entry with the table update time of its own state table.

[0064] S205. If the table corresponding to this entry has the latest update time, then discard the table containing this entry's status.

[0065] S206. If the update time of the received self-state table is the latest, then the entry is overwritten with the self-state table and the corresponding hop count.

[0066] S207. Based on the table update time, delete expired entries in the neighborhood status view table.

[0067] In this embodiment, the node hop count design cleverly integrates the anti-loop and flood control mechanisms in computer network routing protocols. It effectively prevents broadcast storms and network congestion by limiting the hop count threshold (discarding data if it exceeds a preset value), and accurately quantifies the information transmission distance between nodes through the hop count incrementing forwarding mechanism (increasing the hop count by 1 for each node). This allows the system to prioritize the status information of neighboring nodes with fewer hop counts (i.e., closer distance and lower communication latency). At the same time, the hop count-assisted update strategy (comparing the update time of the table for nodes with the same identifier and retaining only the latest data) ensures that the neighborhood status view table always stores the most relevant and freshest data.

[0068] Furthermore, the automatic cleanup mechanism for expired entries based on table update time in this embodiment (for example, when the table update time of an entry exceeds a preset retention window, it is cleaned up) further optimizes storage efficiency and avoids the accumulation of invalid data.

[0069] It should be emphasized that the nodes recorded in the neighborhood state view table in this invention do not only include nodes directly connected to this node, but also include all nodes that can communicate with this node and can be used to assist in voltage regulation.

[0070] The process of selecting auxiliary nodes will be described below:

[0071] In a preferred embodiment, combined with Figure 3 Step S103 above: Detect whether there is a voltage regulation requirement. If so, obtain auxiliary nodes based on the neighborhood state view table, specifically including:

[0072] S301. Detect whether there is a voltage regulation requirement. If so, initialize the voltage regulation decision table, which is used to represent the status information of the current voltage regulation requirement.

[0073] S302. Obtain auxiliary nodes based on the voltage regulation decision table and the neighborhood state view table.

[0074] This embodiment further introduces a key data structure called a voltage regulation decision table, which can accurately record the full picture of the current voltage anomaly event and provide structured data support for subsequent accurate decision-making.

[0075] Specifically, in a preferred embodiment, the fields in the voltage regulation decision table include a unique identifier for the voltage regulation demand, a unique identifier corresponding to the voltage regulation demand node, voltage regulation electrical parameters, and a voltage regulation capacity demand identifier. The unique identifier for the voltage regulation demand is the unique identifier for the abnormal time period; the unique identifier corresponding to the voltage regulation demand node is the identifier for that node; the voltage regulation electrical parameters are the same as the node electrical parameters, both representing relevant parameters to be considered, such as the target voltage range and the current voltage. The voltage regulation capacity demand identifier indicates the voltage regulation capacity required for this voltage regulation demand.

[0076] Based on this, step S302 in this embodiment, which involves obtaining auxiliary nodes according to the voltage regulation decision table and the neighborhood state view table, specifically includes:

[0077] Based on the voltage regulation electrical parameter field in the voltage regulation decision table and the node electrical parameter field in the neighborhood state view table, the voltage correlation and load adaptability of each node in the neighborhood state view table are obtained.

[0078] Based on the voltage regulation capacity requirement identifier field in the voltage regulation decision table and the voltage regulation capacity identifier field in the neighborhood status view table, the voltage regulation capacity matching degree of each node in the neighborhood status view table is obtained.

[0079] Auxiliary nodes are obtained based on the node jump number segments in the neighborhood state view table, the voltage correlation of each node, the load adaptability, and the voltage regulation capability matching degree.

[0080] In the above process, voltage correlation represents the consistency of voltage trends between the demand node and the auxiliary node (e.g., both are overvoltage / undervoltage, avoiding the problem of reverse voltage regulation exacerbating the issue). Load adaptability can be represented by the remaining load of the auxiliary node, used to reserve voltage regulation margin. The matching degree of node hop count and voltage regulation capability can be referred to the previous explanation. It is understandable that after obtaining the above four indicators, the specific selection of auxiliary nodes can be flexibly designed according to the actual situation, such as conditional screening, calculation of scores, etc., therefore, this article will not elaborate on them further.

[0081] This embodiment quantifies voltage correlation and load adaptability to avoid secondary voltage fluctuations caused by selecting overloaded nodes. It precisely matches neighboring nodes with corresponding voltage regulation resources (e.g., nodes with voltage regulators are prioritized for overvoltage demand, and nodes with energy storage are prioritized for undervoltage demand) by comparing voltage regulation capabilities, ensuring maximum matching of voltage regulation capabilities. Furthermore, this embodiment also considers node hop count (prioritizing neighboring nodes with fewer hops and lower communication latency) to reduce communication latency and voltage regulation response time, significantly improving the efficiency and accuracy of multi-node collaborative voltage regulation, ensuring rapid restoration of stable voltage under random load fluctuations in residential electricity consumption.

[0082] Furthermore, in a preferred embodiment, the fields in the voltage regulation decision table also include a voltage regulation status identifier, a cumulative number of voltage regulation attempts, and a list of selected auxiliary nodes. The voltage regulation status identifier indicates the voltage regulation status, such as 0 indicating not started, 1 indicating voltage regulation in progress, 2 indicating successful voltage regulation, and 3 indicating failure. The cumulative number of voltage regulation attempts refers to the number of times auxiliary nodes have been selected for auxiliary voltage regulation based on the current voltage regulation requirement, and is used to control the number of iterative voltage regulation attempts. The list of selected auxiliary nodes records the auxiliary nodes that have participated in the current voltage regulation requirement.

[0083] Based on this, please combine Figure 3 Step S103 above: Detect whether there is a voltage regulation requirement. If so, obtain the auxiliary node based on the neighborhood state view table. Specifically, it also includes:

[0084] S303. Obtain the feedback signal after the auxiliary node performs auxiliary voltage regulation, and update the voltage regulation status identifier field and the selected auxiliary node list field in the voltage regulation decision table according to the feedback signal;

[0085] S304. Check again whether there is a voltage regulation requirement. If so, exclude the nodes in the selected auxiliary node list from the neighborhood state view table, and re-execute the step of obtaining auxiliary nodes based on the voltage regulation decision table and the neighborhood state view table, and update the cumulative voltage regulation count field.

[0086] This embodiment dynamically updates the voltage regulation status identifier and the list of selected auxiliary nodes in the voltage regulation decision table by receiving voltage regulation effect signals (such as voltage adjustment amount and operation status) from auxiliary nodes, ensuring that the voltage regulation process is traceable and controllable. Furthermore, when a voltage limit violation is detected, if the voltage still does not meet the standard after the initial voltage regulation, this embodiment can iteratively search for auxiliary nodes, introducing more and more auxiliary nodes to assist in voltage regulation until the maximum cumulative number of voltage regulation times is reached, or all available nodes are used for assistance, achieving adaptive dynamic voltage regulation. Especially in scenarios where continuous voltage limit violations are caused by random residential electricity loads, this embodiment can dynamically aggregate more and more available voltage regulation resources (such as distributed voltage regulators, energy storage devices, etc.) to gradually correct voltage deviations until a stable state is restored.

[0087] For further information, please refer to [link / reference]. Figure 3 In a preferred embodiment, step S103 above—detecting whether there is a voltage regulation requirement; if so, obtaining auxiliary nodes based on the neighborhood state view table—specifically further includes:

[0088] S305. If the value in the cumulative voltage regulation count field reaches the upper limit, or if there is no node in the neighborhood status view table that can be used as a new auxiliary node, then:

[0089] Based on the voltage regulation decision table and the list of selected auxiliary nodes, a voltage regulation demand initialization signal is sent to the selected auxiliary nodes. The voltage regulation demand initialization signal is used to establish voltage regulation demand in the auxiliary nodes and initialize the voltage regulation decision table in the auxiliary nodes.

[0090] When the cumulative number of voltage regulation attempts reaches a preset limit or no new auxiliary nodes are available in the neighborhood status view table, the system no longer simply terminates the voltage regulation process. Instead, it innovatively transforms the voltage regulation problem of the current demand node into the voltage regulation demand of other nodes by sending a voltage regulation demand initialization signal to the auxiliary nodes already participating in voltage regulation, thereby obtaining more auxiliary nodes. Specifically, auxiliary nodes can reassess voltage regulation resources based on their own neighborhood status view (which includes broader grid topology information), select underutilized voltage regulation equipment within their neighborhood, and construct a multi-level, cross-regional voltage regulation resource network. This avoids voltage regulation interruptions caused by the depletion of local node resources and, through relay cooperation among distributed nodes, expands the voltage regulation demand of a single substation to a larger-scale grid coordinated regulation, significantly improving the probability of resolving voltage limit exceedance problems in complex load scenarios. This mechanism maintains the distributed nature of system decision-making, eliminating the need for centralized control from the master station. Relying on autonomous communication and status sharing between smart circuit breakers, it achieves dynamic aggregation and global optimization of voltage regulation resources, providing stronger self-healing capabilities and voltage stability guarantees for the low-voltage power grid.

[0091] It is understood that when voltage regulation demand is established in other nodes in this embodiment, the specific allocation of the newly created "virtual" demand for each node depends on the actual situation, and this is something that those skilled in the art can understand and design, so this article will not elaborate further.

[0092] Combination Figure 4 As shown, the present invention also provides a low-voltage power grid dynamic voltage regulation system based on a smart circuit breaker, comprising:

[0093] The broadcast receiving module 410 is used to obtain the self-state table periodically broadcast by other nodes in the low-voltage power grid, wherein the node is a smart circuit breaker in the low-voltage power grid, and the self-state table is used to represent the state information of a smart circuit breaker.

[0094] The local maintenance module 420 is used to update the locally maintained neighborhood status view table according to the received self-status table. The neighborhood status view table is used to represent the status information of the neighboring smart circuit breakers of a smart circuit breaker.

[0095] The demand analysis module 430 is used to detect whether there is a voltage regulation demand. If so, it obtains auxiliary nodes based on the neighborhood status view table.

[0096] The auxiliary request module 440 is used to send a help signal to the auxiliary node, which is used to request the auxiliary node to perform auxiliary voltage regulation.

[0097] It should be noted that the corresponding systems provided in the above embodiments are computer program products that can implement the technical solutions described in the above method embodiments. The specific implementation principles of the above modules or units can be found in the corresponding content in the above method embodiments, and will not be repeated here.

[0098] The present invention also provides an electronic device, comprising:

[0099] Memory and processor;

[0100] The memory is used to store the program, and the processor is used to execute the steps in any of the above-mentioned low-voltage power grid dynamic voltage regulation methods based on smart circuit breakers when the program is executed.

[0101] The present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in any of the above-described methods for dynamic voltage regulation of low-voltage power grids based on intelligent circuit breakers.

[0102] This invention provides a dynamic voltage regulation method for low-voltage power grids based on smart circuit breakers. First, it acquires the self-state tables periodically broadcast by other nodes in the low-voltage power grid, where each node is a smart circuit breaker. The self-state table represents the state information of a smart circuit breaker. Then, based on the received self-state table, it updates the locally maintained neighborhood state view table, which represents the state information of neighboring smart circuit breakers. It then detects whether there is a voltage regulation requirement. If so, it obtains an auxiliary node based on the neighborhood state view table. Finally, it sends a request for assistance to the auxiliary node, requesting the auxiliary node to perform auxiliary voltage regulation. This invention achieves real-time perception and distributed sharing of low-voltage power grid node status by periodically broadcasting its own status table among intelligent circuit breakers and maintaining a neighborhood status view table. This ensures that voltage regulation decisions are based on the latest and most comprehensive power grid operation data. Employing a decentralized distributed collaborative mechanism, demand nodes can autonomously analyze the neighborhood status view and accurately select auxiliary nodes with voltage regulation capabilities, avoiding the dependence on the master station in traditional centralized control. Through the collaborative voltage regulation operations of auxiliary nodes, it can quickly respond to voltage fluctuations caused by random residential loads, effectively solving the voltage limit exceeding problem in multi-node decentralized control scenarios of low-voltage power grids. This improves the accuracy and response speed of voltage regulation, and realizes automated closed-loop control of the voltage regulation process. It not only ensures voltage quality on the user side but also enhances the reliability and adaptability of power grid operation, solving the problem of difficulty in dynamic adjustment caused by the random and dispersed nature of user-side loads in low-voltage power grids in existing technologies.

[0103] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0104] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for dynamic voltage regulation of low-voltage power grids based on intelligent circuit breakers, characterized in that, include: Based on this node, obtain the self-state table periodically broadcast by other nodes in the low-voltage power grid. Here, the node is a smart circuit breaker in the low-voltage power grid, and the self-state table is used to represent the state information of a smart circuit breaker. Based on the received self-state table, update the locally maintained neighborhood state view table. The neighborhood state view table is used to represent the state information of the smart circuit breakers in the neighborhood of a smart circuit breaker. Detect whether there is a voltage regulation demand. If so, initialize the voltage regulation decision table, which is used to represent the status information of the current voltage regulation demand. Obtain auxiliary nodes based on the voltage regulation decision table and the neighborhood status view table. Send a distress signal to the auxiliary node; the distress signal is used to request the auxiliary node to perform auxiliary voltage regulation. The neighborhood state view table includes fields such as the node's unique identifier, node electrical parameters, voltage regulation capacity identifier, and node hop count; the voltage regulation decision table includes fields such as the unique identifier of voltage regulation demand, the unique identifier corresponding to the voltage regulation demand node, voltage regulation electrical parameters, and voltage regulation capacity demand identifier; based on the voltage regulation decision table and the neighborhood state view table, auxiliary nodes are obtained, including: Based on the voltage regulation electrical parameter field in the voltage regulation decision table and the node electrical parameter field in the neighborhood state view table, the voltage correlation and load adaptability of each node in the neighborhood state view table are obtained. Based on the voltage regulation capacity requirement identifier field in the voltage regulation decision table and the voltage regulation capacity identifier field in the neighborhood status view table, the voltage regulation capacity matching degree of each node in the neighborhood status view table is obtained. Auxiliary nodes are obtained based on the node jump number segments in the neighborhood state view table, the voltage correlation of each node, the load adaptability, and the voltage regulation capability matching degree.

2. The low-voltage power grid dynamic voltage regulation method based on intelligent circuit breakers according to claim 1, characterized in that, The fields in the self-status table include the node's unique identifier, node electrical parameters, voltage regulation capability identifier, and table update time. The fields in the neighborhood status view table also include the table update time.

3. The low-voltage power grid dynamic voltage regulation method based on intelligent circuit breakers according to claim 2, characterized in that, Based on the received self-state table, update the locally maintained neighborhood state view table, including: Verify the number of hops in the received self-state table. If the number of hops exceeds a preset threshold, discard the self-state table. If the number of hops does not exceed the preset threshold, check if there is an entry in the neighborhood state view table that is the same as the unique identifier of its own state table. If there is no entry with the same unique identifier, then add its own state table and the corresponding hop count as a new entry in the neighborhood state view table; If there are entries with the same unique identifier, compare the update time of that entry with the table update time of its own state table; If the table corresponding to the entry is the most recently updated, then discard the entry's own status table. If the received self-state table has the latest update time, then the entry is overwritten with the self-state table and the corresponding hop count. Based on the table update time, delete expired entries in the neighborhood status view table.

4. The low-voltage power grid dynamic voltage regulation method based on intelligent circuit breakers according to claim 2, characterized in that, The voltage regulation decision table also includes fields such as voltage regulation status identifier, cumulative voltage regulation count, and a list of selected auxiliary nodes; it checks whether there is a voltage regulation requirement, and if so, obtains auxiliary nodes based on the neighborhood status view table, which also includes: Obtain the feedback signal after the auxiliary node performs auxiliary voltage regulation, and update the voltage regulation status identifier field and the selected auxiliary node list field in the voltage regulation decision table according to the feedback signal; Check again if there is a voltage regulation requirement. If so, remove the node from the selected auxiliary node list from the neighborhood state view table, and re-execute the step of obtaining the auxiliary node based on the voltage regulation decision table and the neighborhood state view table, and update the cumulative voltage regulation count field.

5. The low-voltage power grid dynamic voltage regulation method based on intelligent circuit breakers according to claim 4, characterized in that, If a voltage regulation requirement exists, and if so, auxiliary nodes are obtained based on the neighborhood state view table, including: If the value in the cumulative voltage regulation count field reaches the upper limit, or if there is no node in the neighborhood status view table that can be used as a new auxiliary node, then: Based on the voltage regulation decision table and the list of selected auxiliary nodes, a voltage regulation demand initialization signal is sent to the selected auxiliary nodes. The voltage regulation demand initialization signal is used to establish voltage regulation demand in the auxiliary nodes and initialize the voltage regulation decision table in the auxiliary nodes.

6. A low-voltage power grid dynamic voltage regulation system based on an intelligent circuit breaker, characterized in that, include: The broadcast receiving module is used to obtain the self-state table periodically broadcast by other nodes in the low-voltage power grid based on this node. The node is a smart circuit breaker in the low-voltage power grid, and the self-state table is used to represent the state information of a smart circuit breaker. The local maintenance module is used to update the locally maintained neighborhood status view table based on the received self-status table. The neighborhood status view table is used to represent the status information of the neighboring smart circuit breakers of a smart circuit breaker. The demand analysis module is used to detect whether there is a voltage regulation demand. If so, the voltage regulation decision table is initialized, which represents the status information of the current voltage regulation demand. Based on the voltage regulation decision table and the neighborhood status view table, auxiliary nodes are obtained. The auxiliary request module is used to send a help signal to the auxiliary node, which requests the auxiliary node to perform auxiliary voltage regulation. The neighborhood state view table includes fields such as the node's unique identifier, node electrical parameters, voltage regulation capacity identifier, and node hop count; the voltage regulation decision table includes fields such as the unique identifier of voltage regulation demand, the unique identifier corresponding to the voltage regulation demand node, voltage regulation electrical parameters, and voltage regulation capacity demand identifier; based on the voltage regulation decision table and the neighborhood state view table, auxiliary nodes are obtained, including: Based on the voltage regulation electrical parameter field in the voltage regulation decision table and the node electrical parameter field in the neighborhood state view table, the voltage correlation and load adaptability of each node in the neighborhood state view table are obtained. Based on the voltage regulation capacity requirement identifier field in the voltage regulation decision table and the voltage regulation capacity identifier field in the neighborhood status view table, the voltage regulation capacity matching degree of each node in the neighborhood status view table is obtained. Auxiliary nodes are obtained based on the node jump number segments in the neighborhood state view table, the voltage correlation of each node, the load adaptability, and the voltage regulation capability matching degree.

7. An electronic device, characterized in that, include: Memory and processor; The memory is used to store the program, and the processor is used to execute the steps of any one of the low-voltage power grid dynamic voltage regulation methods based on a smart circuit breaker when executing the program.

8. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of any one of the low-voltage power grid dynamic voltage regulation methods based on intelligent circuit breakers in claims 1-5.

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