Power distribution network fast and slow equipment collaborative voltage control method, system, device and medium

Abstract

The application relates to the technical field of power distribution network operation control, and provides a power distribution network fast and slow equipment collaborative voltage control method, a system, equipment and a medium, which comprises the following steps: when each edge intelligent terminal determines that there is a voltage out-of-limit risk according to local node state data, obtaining adjacent node effective state data by processing the state data of adjacent nodes according to a channel state perception matrix of a current control period, and combining the local node state data to continuously optimize the distributed reactive power output of a fast voltage regulating device to obtain a regional reactive power continuous regulation and control instruction and issue the regional reactive power continuous regulation and control instruction, and when it is determined that the current fast regulating capacity tends to be saturated according to the continuous reactive power output of the fast regulating device, issuing a regional slow regulating action instruction and dynamically updating the reactive power reference control point of the fast regulating device after the execution is completed. The application can overcome the data failure risk in a weak communication environment, reduce control algorithm power consumption, realize efficient and flexible collaborative regulation and control of the fast and slow regulating devices, ensure voltage safety, and prolong the service life of the voltage regulating device.

Description

Technical Field

[0001] This invention relates to the field of power distribution network operation control technology, and in particular to a method, system, device and medium for coordinated voltage control of fast and slow equipment in a power distribution network. Background Technology

[0002] Active distribution networks with a large proportion of distributed power sources and electric vehicles are highly susceptible to frequent voltage overruns and severe fluctuations due to random power fluctuations at nodes, seriously threatening the safe operation of the system. Distribution network voltage regulation equipment is mainly divided into two categories: one is slow-speed voltage regulation equipment, represented by on-load tap-changing transformers and capacitor banks, which has strong voltage regulation capabilities but slow operation and is limited by physical constraints such as the maximum number of daily operations; the other is fast-speed voltage regulation equipment, represented by photovoltaic inverters, which has a fast response but limited reactive power compensation capacity. How to utilize both slow-speed and fast-speed voltage regulation equipment to achieve efficient voltage regulation under complex operating conditions has become a key research focus in the context of smart grids.

[0003] Existing control strategies for the coordinated operation of fast and slow voltage regulation devices in distribution networks often employ a physical regulation method of "setting the slow speed during the day and adjusting the fast speed during the day." This method easily leads to the slow voltage regulation devices losing their flexibility during the day. When there are sharp fluctuations in source and load, the reactive power margin of the fast voltage regulation devices is easily exhausted, and control conflicts may arise with the slow voltage regulation devices, which not only exacerbates the wear and tear on mechanical equipment but may also cause the curtailment of renewable energy to maintain voltage. Although some studies have proposed to solve the problem of intraday coordination between fast and slow voltage regulation devices by introducing optimization algorithms such as distributed model predictive control, transforming the regulation task into a unified mixed-integer nonlinear programming model, this approach encounters dual bottlenecks in communication and computing power when applied to practical engineering. Not only are communication problems such as asymmetric delay and frequent packet loss causing the control iteration to be infinitely prolonged, resulting in the fast devices losing their responsiveness advantage and even causing the control system to collapse, but the computational complexity of the optimization model integrating fast and slow devices is also high, making it impossible to directly deploy it on the edge-side intelligent terminals of the distribution network with limited computing power. Therefore, it is of great significance to provide a voltage control method that can sense and adapt to weak communication environments and achieve flexible coordination between fast and slow devices through a control mechanism with low computing power consumption. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method, system, device, and medium for coordinated voltage control of fast and slow devices in a power distribution network. By introducing a channel state perception matrix to perceive the weak communication environment in real time, performing availability analysis on node state data, and achieving efficient and flexible coordinated control of fast and slow devices based on a low-computing-power asynchronous decoupling control mechanism, the invention ensures the safe and economical operation of the power distribution network.

[0005] In a first aspect, embodiments of the present invention provide a method for coordinated voltage control of fast and slow devices in a power distribution network, applied to edge intelligent terminals at various power distribution network nodes, the method comprising: Voltage over-limit risk detection is performed based on real-time acquired local node status data. When a voltage over-limit risk is determined, the channel state perception matrix of the current control cycle is acquired. Based on the channel state perception matrix, availability analysis processing is performed on the status data of each adjacent node to obtain the effective status data of the adjacent nodes. Based on the local node status data and the effective status data of the adjacent nodes, the distributed reactive power output of the fast voltage regulating equipment in the target local control area is continuously optimized to obtain the corresponding regional reactive power continuous control command and send it to the corresponding fast voltage regulating equipment. Based on the continuous reactive power output of the fast-adjustment equipment corresponding to the continuous reactive power control command of the region, the saturation assessment of the fast-adjustment capability is performed. When it is determined that the current fast-adjustment capability is approaching saturation, a slow-adjustment action command is issued to the target local control region to perform regional voltage reference adjustment. In response to the completion of the slow adjustment action command in the region, the fast equipment reactive power reference control point of the target local control region is dynamically updated to realize intraday relay adjustment of fast voltage regulating equipment and slow voltage regulating equipment.

[0006] Further, obtaining the channel state awareness matrix for the current control period includes: The communication data packets between each distribution network node and each adjacent node within the current control cycle are parsed and analyzed to obtain the channel packet loss rate and asymmetric transmission delay between the distribution network node and each adjacent node; the communication data packets include node identifier, status data, sending timestamp, receiving timestamp, and packet sequence number; Each distribution network node is determined to have a channel packet loss rate and asymmetric transmission delay between each adjacent node within the corresponding preset threshold range. If not, the channel state between each distribution network node and its corresponding adjacent node is set to zero. Otherwise, the channel state is obtained by performing a reliable weight mapping based on the exponential decay model according to the corresponding channel packet loss rate and asymmetric transmission delay. The channel state perception matrix is ​​generated based on the channel state between each distribution network node and each adjacent node.

[0007] Further, the step of performing availability analysis processing on the acquired state data of each adjacent node based on the channel state awareness matrix to obtain effective state data of the adjacent nodes includes: Based on the channel state perception matrix, the channel state of the distribution network node and each adjacent node is obtained, and it is determined whether the channel state of the distribution network node and each adjacent node is zero. When the channel state between the distribution network node and each adjacent node is non-zero, the state data of the corresponding adjacent node is determined to be usable data, and the state data of the corresponding adjacent node is used as the effective state data of the corresponding adjacent node in the effective state data of the adjacent node. When the channel state between the distribution network node and each adjacent node is zero, the state data of the corresponding adjacent node is determined to be unusable data. Based on the first and second rate of change of the historical state data of the adjacent node, the current state is estimated based on the second-order Taylor expansion, and the obtained state estimation data of the corresponding adjacent node is used as the effective state data of the corresponding adjacent node in the effective state data of the adjacent node.

[0008] Further, the step of optimizing the distributed reactive power output of the fast voltage regulation equipment in the target local control area based on the local node status data and the effective status data of the adjacent nodes to obtain the corresponding regional reactive power control command includes: Voltage sensitivity analysis is performed on the active power, reactive power, and slow voltage regulation device operation data in the local node status data to obtain the corresponding current local node's voltage impact. Based on the current state change data of the neighboring nodes obtained from the effective state data of the neighboring nodes, as well as the corresponding channel state data and current state change voltage coupling sensitivity data of the neighboring nodes, the voltage coupling effect of the neighboring nodes is analyzed to obtain the corresponding current neighbor coupling effect voltage. The voltage deviation value is obtained by summing the voltage affected by the current local node and the voltage affected by the current neighbor coupling of the distribution network node. Based on the current voltage deviation value of the distribution network node, the corresponding absolute predicted voltage value is obtained. Based on the absolute predicted voltage value, with the optimization objective of minimizing voltage tracking deviation and reactive power regulation cost, the distributed reactive power output of the fast voltage regulation device is continuously optimized to obtain the regional reactive power continuous control command.

[0009] Further, the step of performing voltage sensitivity analysis based on the active power, reactive power, and slow voltage regulation device operation data in the local node status data to obtain the corresponding local node's impact on voltage includes: Based on the active power, reactive power and slow voltage regulation equipment action data in the local node status data, the current active power change, current reactive power change and current slow voltage regulation equipment action change data corresponding to the distribution network node are calculated respectively. Based on the current active voltage sensitivity, current reactive voltage sensitivity, current active voltage change, and current reactive voltage change of the distribution network node, a power impact voltage analysis is performed to obtain the current local power impact voltage. Based on the current slow-adjustment equipment operation change data and the corresponding current slow-adjustment equipment operation voltage sensitivity data of the distribution network node, the voltage impact of the slow-adjustment equipment operation is analyzed to obtain the voltage impact of the current slow-adjustment equipment. The voltage impact of the current local power at the distribution network node and the voltage impact of the current slow-adjustment equipment are summed to obtain the voltage impact of the current local node.

[0010] Further, the step of performing a fast-adjustment capability saturation assessment based on the continuous reactive power output of the fast-adjustment equipment corresponding to the regional reactive power continuous control command, and issuing a slow-action command to the target local control area when it is determined that the current fast-adjustment capability is approaching saturation, includes: Based on the reactive power output value and corresponding maximum rated reactive capacity of all fast voltage regulating devices at each moment in the continuous reactive power output of the fast voltage regulating device, the regional reactive power margin continuous depletion index is calculated based on the preset reactive power margin depletion index. Determine whether the regional reactive power margin depletion index at each time point in the continuous depletion index of the regional reactive power margin is greater than the preset reactive power margin depletion threshold. When the regional reactive power margin depletion index is greater than the preset reactive power margin depletion threshold and continues for a preset duration, it is determined that the current fast adjustment capability is approaching saturation. Based on the regional voltage deviation, a regional slow adjustment action command for the target local control area is determined and sent to the corresponding slow voltage regulation device.

[0011] Furthermore, the dynamic updating of the rapid equipment reactive power reference control point of the target local control region includes: According to the slow adjustment action command for the region, the corresponding change in the region voltage reference is obtained; The reactive power reference correction amount of the distribution network node is obtained based on the change in the regional voltage reference, the current reactive power voltage sensitivity of the distribution network node, and the preset reactive power correction smoothing coefficient. The current reactive power reference value is corrected based on the reactive power reference correction amount of the distribution network node to obtain the corresponding fast equipment reactive power reference control point.

[0012] Secondly, embodiments of the present invention provide a coordinated voltage control system for fast and slow speed devices in a power distribution network, applied to edge intelligent terminals at various power distribution network nodes, the system comprising: The data processing module is used to detect voltage over-limit risks based on real-time acquired local node status data. When a voltage over-limit risk is determined, the module acquires the channel state perception matrix for the current control cycle and performs availability analysis on the status data of each adjacent node based on the channel state perception matrix to obtain the effective status data of the adjacent nodes. The fast voltage regulation module is used to continuously optimize the distributed reactive power output of the fast voltage regulation equipment in the target local control area based on the local node status data and the effective status data of the adjacent nodes, and to obtain the corresponding regional reactive power continuous control command and send it to the corresponding fast voltage regulation equipment. The slow voltage regulation module is used to perform a saturation assessment of the fast regulation capability based on the continuous reactive power output of the fast regulation equipment corresponding to the continuous reactive power regulation command of the region. When it is determined that the current fast regulation capability is approaching saturation, a slow regulation action command is issued to the target local regulation region to perform regional voltage reference adjustment. The fast adjustment reference update module is used to dynamically update the fast equipment reactive power reference control point of the target local control area in response to the completion of the slow adjustment action command in the area, so as to realize the intraday relay adjustment of the fast voltage regulating equipment and the slow voltage regulating equipment.

[0013] Thirdly, embodiments of the present invention also provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0014] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0015] This invention provides a method, system, computer device, and storage medium for coordinated voltage control of fast and slow voltage regulation equipment in a power distribution network. The method enables edge intelligent terminals at each power distribution network node to detect voltage exceedance risks based on real-time acquired local node status data. When a voltage exceedance risk is detected, the method acquires the channel state perception matrix for the current control cycle. Based on the channel state perception matrix, it performs availability analysis on the status data of each adjacent node to obtain effective status data for adjacent nodes. Then, based on the local node status data and the effective status data of adjacent nodes, it continuously optimizes the distributed reactive power output of the fast voltage regulation equipment within the target local control area, obtaining the corresponding regional reactive power continuous control command and issuing it to the corresponding fast voltage regulation equipment. Furthermore, it performs a fast voltage regulation capacity saturation assessment based on the continuous reactive power output of the fast voltage regulation equipment corresponding to the regional reactive power continuous control command. When it is determined that the current fast voltage regulation capacity is approaching saturation, a regional slow voltage regulation action command is issued to the target local control area to execute regional voltage reference adjustment. In response to the completion of the regional slow voltage regulation action command, the method dynamically updates the reactive power reference control point of the fast voltage regulation equipment in the target local control area. Compared with existing technologies, this method for coordinated voltage control of fast and slow devices in power distribution networks not only effectively overcomes the risk of data failure in weak communication environments by introducing a channel state perception matrix to perceive weak communication environments in real time and perform availability analysis on node state data, but also reduces the consumption of control computing power by using an asynchronous decoupling control mechanism that decouples the power distribution network voltage control task into millisecond-level fast asynchronous control and minute-level slow control based on dual time scales. This enables efficient and flexible coordinated control of fast and slow devices, extending the service life of voltage regulating equipment while ensuring voltage safety, and effectively guaranteeing the safe and economical operation of the power distribution network. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the method for coordinated voltage control of fast and slow equipment in a power distribution network according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the simulation topology of the IEEE 33-node active distribution network in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of the coordinated voltage control system for fast and slow speed equipment in the power distribution network in an embodiment of the present invention; Figure 4 This is an internal structural diagram of the computer device in an embodiment of the present invention; The attached figures are labeled as follows: 10. Data processing module; 20. Fast voltage regulation module; 30. Slow voltage regulation module; 40. Fast voltage regulation reference update module. Detailed Implementation

[0017] To make the objectives, technical solutions, and beneficial effects of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. Obviously, the embodiments described below are only part of the embodiments of this invention and are used to illustrate the invention, but are not intended to limit the scope of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0018] The distribution network fast and slow equipment coordinated voltage control method provided by this invention can be understood as addressing the current application status of fast and slow equipment coordinated control in distribution networks, which is highly dependent on ideal communication, suffers from rigid intraday coordination between fast and slow equipment, and has insufficient computing power of edge intelligent terminals. This method proposes an asynchronous coordinated voltage control method for distribution networks based on channel state awareness to reduce the risk of data failure under limited communication conditions. It combines this with an asynchronous decoupling control mechanism that decouples the distribution network voltage control task based on dual time scales, dividing it into millisecond-level fast asynchronous control and minute-level slow control, thus reducing the consumption of control computing power. This method is particularly suitable for voltage safety control in active distribution networks with limited communication conditions and containing a high proportion of distributed power sources and various types of voltage regulating equipment. The following embodiments will provide a detailed description of the distribution network fast and slow equipment coordinated voltage control method of this invention.

[0019] In one embodiment, such as Figure 1 As shown, a method for coordinated voltage control of fast and slow voltage regulating devices in a distribution network is provided, applied to edge intelligent terminals at various distribution network nodes. In this embodiment, each edge intelligent terminal corresponds one-to-one with a distribution network node. One or more fast voltage regulating devices and / or slow voltage regulating devices can be connected to the same node, and each device is distinguished by an independent device identifier. Each edge intelligent terminal collects status data of the corresponding distribution network node and the connected fast and / or slow voltage regulating devices, and receives status data from adjacent nodes. Based on this, it performs voltage limit exceedance risk detection and coordinates the control of fast and slow voltage regulating devices within the local control area of ​​the corresponding distribution network node. The voltage control execution logic of all edge intelligent terminals in the distribution network is completely consistent. In practical applications, the voltage control execution process of each edge intelligent terminal includes: S11. Voltage over-limit risk detection is performed based on the real-time acquired local node status data. When a voltage over-limit risk is determined, the channel status perception matrix of the current control cycle is acquired. Based on the channel status perception matrix, availability analysis processing is performed on the acquired status data of each adjacent node to obtain the effective status data of the adjacent nodes. The local node status data includes node voltage, active power, reactive power, the current reactive power output value and maximum rated reactive power capacity of the fast voltage regulating equipment, and the operating position or switching status of the slow voltage regulating equipment. The specific acquisition method can be implemented with reference to relevant existing technologies, and is not specifically limited here.

[0020] In practical applications, each edge intelligent terminal determines whether the absolute deviation between the node voltage and the corresponding node voltage reference value exceeds a preset deviation threshold based on the node voltage in the local node status data. If not, it is determined that there is no risk of voltage exceeding the limit; otherwise, it is considered that there is a risk of voltage exceeding the limit. Based on the local node status data and the effective status data of each adjacent node, the fast asynchronous voltage regulation control process of the fast voltage regulation equipment in the target local control area needs to be immediately initiated to cope with short-term voltage disturbances caused by sudden changes in photovoltaic output, rapid load fluctuations, and electric vehicle access.

[0021] Considering the risk of data failure in weak communication environments, for reactive power output optimization of fast voltage regulation equipment using distributed model predictive control, the reactive power regulation of the fast voltage regulation equipment is highly susceptible to failure due to the failure of state data from adjacent nodes. To overcome this risk and improve the reliability of data used in reactive power output optimization, this embodiment preferably uses real-time monitoring of channel status to perceive the weak communication environment and constructs a channel status perception matrix for availability analysis of the node status data received within the current control cycle. Specifically, obtaining the channel status perception matrix for the current control cycle includes: The communication data packets between each distribution network node and each adjacent node within the current control cycle are analyzed to obtain the channel packet loss rate and asymmetric transmission delay between the distribution network node and each adjacent node. The current control cycle can be set according to the timeliness requirements of the actual voltage regulation scenario and is not specifically limited here. The corresponding communication data packets include node identifier (identifying the distribution network node sending data and distinguishing the data source), status data (actual electrical quantities and other business data collected by the node), sending timestamp (sending time of the communication data packet), receiving timestamp (receiving time of the communication data packet), and packet sequence number (the number of the communication data packet transmission). In practical applications, a receiving status window is maintained for each adjacent node, recording the most recently expected packet sequence number. After receiving a communication data packet from each adjacent node, the continuity of the parsed packet sequence number is checked. If the packet sequence number is not continuous, it is determined that there is packet loss. At the end of the current control cycle, the difference between the expected total number of communication packets received and the actual total number of communication packets received by each adjacent node is compared with the expected total number of communication packets received to obtain the channel packet loss rate between the distribution network node and each adjacent node. Meanwhile, after receiving a communication data packet from each adjacent node, the corresponding one-way transmission delay can be calculated based on the received timestamp and sent timestamp obtained from the parsing. At the end of the current control cycle, the average value of all one-way transmission delays corresponding to each adjacent node can be taken to obtain the asymmetric transmission delay between the distribution network node and each adjacent node.

[0022] Each distribution network node is assessed to determine whether the channel packet loss rate and asymmetric transmission delay between each node and its adjacent node are within the corresponding preset threshold range. If not, the channel state between each node and its adjacent node is set to zero. Conversely, the corresponding channel state is obtained by performing a reliable weight mapping based on the corresponding channel packet loss rate and asymmetric transmission delay using an exponential decay model. In practical applications, when the channel packet loss rate between a distribution network node and its adjacent node exceeds the preset packet loss threshold (a higher packet loss rate indicates less complete communication data and lower reliability of adjacent node status data) or the asymmetric transmission delay exceeds the preset delay threshold (a larger asymmetric transmission delay indicates more delayed received status data from adjacent nodes), the status data of that adjacent node is considered insufficiently usable and cannot be directly used in voltage regulation calculations. Historical timestamped status data is required for delay compensation prediction processing, as detailed in the following processing instructions. It should be noted that both the preset packet loss threshold and the preset delay threshold can be set based on actual application requirements and are not specifically limited here. When the packet loss rate between a distribution network node and each adjacent node does not exceed a preset packet loss threshold and the asymmetric transmission delay does not exceed a preset delay threshold, the channel state mapping transformation is performed according to the corresponding channel packet loss rate and asymmetric transmission delay using the following formula: In the formula, and They are respectively Distribution network nodes at all times With each adjacent node Inter-channel packet loss rate and asymmetric transmission delay; It is an exponential function; They are respectively Distribution network nodes at all times With each adjacent node Channel state between; and The penalty coefficient corresponding to the channel packet loss rate and asymmetric transmission delay is obtained through the coefficient. and The sensitivity of channel state to channel packet loss rate and asymmetric transmission delay are respectively considered, making the channel state... Always within the (0,1] interval: When the communication link quality is good, the channel state is close to 1, and the state data of the corresponding adjacent nodes can directly participate in the fast voltage regulation optimization; when the communication link quality deteriorates, the channel state automatically decreases, and the role of the state data of the adjacent nodes in the distributed prediction model control is reduced accordingly.

[0023] The channel state perception matrix is ​​generated based on the channel state between each distribution network node and each adjacent node; wherein, the channel state perception matrix includes the channel state between all nodes in the distribution network, and the channel state between nodes with physical adjacency is obtained by the above method, and the channel state between nodes without physical adjacency is directly set to zero.

[0024] This embodiment maps the channel packet loss rate and asymmetric transmission delay to the channel state, which can directly transform the channel communication quality into the weights of the state data of the adjacent nodes to participate in the optimization. This effectively overcomes the risk of data failure in weak communication environments, avoids the impact of weak communication links on the overall control convergence, and thus improves the continuity and robustness of asynchronous voltage control.

[0025] The availability analysis processing in this embodiment can be understood as determining whether the status data of adjacent nodes is available based on the current channel state between the distribution network node and its adjacent nodes, and using historical time-stamped status data to perform delay compensation prediction on unavailable data to obtain corresponding effective data for control optimization. The effective status data of adjacent nodes includes the effective status data of all adjacent nodes corresponding to the distribution network node that can be directly used for control optimization. Specifically, the availability analysis processing of the status data of each adjacent node obtained according to the channel state perception matrix to obtain the effective status data of adjacent nodes includes: Based on the channel state perception matrix, the channel state between the distribution network node and each adjacent node is obtained, and it is determined whether the channel state between the distribution network node and each adjacent node is zero; that is, it is determined whether the matrix element value at the corresponding position of the channel state between the distribution network node and each adjacent node in the channel state perception matrix is ​​0, so as to determine whether there is a delay or loss of the state data of the adjacent nodes.

[0026] When the channel state between the distribution network node and each adjacent node is non-zero, the state data of the corresponding adjacent node is determined to be usable data, and the state data of the corresponding adjacent node is used as the valid state data of the adjacent node in the valid state data of the adjacent node; that is, when the channel state between the distribution network node and each adjacent node is not 0, it indicates that the packet loss rate and transmission delay of the link are still within the allowable range, and the state data of the corresponding adjacent node can be directly used for subsequent control optimization.

[0027] When the channel state between the distribution network node and each adjacent node is zero, the state data of the corresponding adjacent node is determined to be unusable. Based on the first and second rates of change of the historical state data of the adjacent node, a current state estimate is performed using a second-order Taylor expansion. The obtained state estimate data of the corresponding adjacent node is then used as the valid state data of the adjacent node in the valid state data of the adjacent node. The historical state data of the adjacent node can be understood as a sequence of state data prior to a previous historical moment, determined by the difference in asymmetric transmission delay between the current moment and the adjacent node, and can be obtained by querying historical data storage records. The first and second rates of change of the historical state data of the adjacent node can be understood as differences in the historical state data; the specific calculation process can be found in existing technologies and will not be detailed here. The specific state estimate data of the adjacent node can be expressed as follows: In the formula, For distribution network nodes With neighboring nodes Asymmetric transmission delay between them; The actual received timestamp is The historical true state matrix; and These are the first-order and second-order rates of change of the historical state data corresponding to adjacent nodes, respectively; For distribution network nodes Estimated neighboring nodes At any moment The effective status data is used for electrical operating status calculations for voltage control optimization. It also includes node voltage, active power, reactive power, reactive power output of fast voltage regulating equipment, and operating position or switching status of slow voltage regulating equipment.

[0028] The availability analysis and processing mechanism for adjacent node status data provided in this embodiment can perceive the real-time communication environment based on the channel state perception matrix, perform availability detection and adaptive data recovery on the status data of adjacent nodes, effectively eliminate the impact of unavailable data on control optimization, and accurately predict the node status based on the first-order and second-order rates of change of historical status data. This enables high-precision completion and reconstruction of status data in the event of communication interruption or data loss, ensuring that the edge intelligent terminal can perform decision analysis based on complete and highly reliable data in each control cycle. This allows for a smooth switch to the subsequent asynchronous decoupling mode of voltage regulation even when a local communication link fails, avoiding the problem of traditional synchronous control easily collapsing due to the "weakest link" effect, and thus effectively supporting the safe and stable operation of the distribution network in distributed photovoltaic high-penetration scenarios.

[0029] S12. Based on the local node status data and the effective status data of the adjacent nodes, perform distributed reactive power output continuous optimization on the fast voltage regulating equipment within the target local control area to obtain the corresponding regional reactive power continuous control command and issue it to the corresponding fast voltage regulating equipment; wherein, the target local control area can be understood as being centered on the distribution network node with current voltage over-limit risk, consisting of the distribution network node and its adjacent nodes with significant voltage coupling relationship, and the area can be pre-divided according to the feeder topology and voltage sensitivity, and the fast voltage regulating equipment and slow voltage regulating equipment connected to each node within this area are all regarded as the corresponding control objects. Distributed reactive power output continuous optimization can be understood as the process of continuously regulating the reactive power output of the fast voltage regulating equipment within the target local control area based on the distributed model predictive control method to obtain the corresponding regional reactive power continuous control command; specifically, the step of performing distributed reactive power output optimization on the fast voltage regulating equipment within the target local control area based on the local node status data and the effective status data of the adjacent nodes to obtain the corresponding regional reactive power control command includes: Voltage sensitivity analysis is performed on the active power, reactive power, and slow voltage regulation device operation data in the local node status data to obtain the corresponding current local node's voltage impact. The current local node's voltage impact can be understood as the voltage change caused solely by changes in the active power, reactive power, and slow voltage regulation device operation data in the local node status data. The slow voltage regulation device operation data includes the operation data of all slow voltage regulation devices (such as OLTC or CB) within the target local control area. Specifically, the step of performing voltage sensitivity analysis on the active power, reactive power, and slow voltage regulation device operation data in the local node status data to obtain the corresponding local node's voltage impact includes: Based on the active power, reactive power, and slow voltage regulating device action data in the local node status data, the current active power change, current reactive power change, and current slow voltage regulating device action change data corresponding to the distribution network node are calculated respectively; wherein, the current active power change is the difference between the active power and the active power at the previous moment, the current reactive power change is the difference between the reactive power and the reactive power at the previous moment, and the current slow voltage regulating device action change data is the difference between the action data of each slow voltage regulating device in the slow voltage regulating device action data and the action data at the previous moment.

[0030] Power impact voltage analysis is performed based on the current active power voltage sensitivity, current reactive power voltage sensitivity, current active power change, and current reactive power change of the distribution network node to obtain the current local power impact voltage. The current active power voltage sensitivity and current reactive power voltage sensitivity of the distribution network node can be calculated in real time based on relevant active / reactive power voltage sensitivity analysis techniques, which will not be detailed here. Power impact voltage analysis can be understood as the process of obtaining the power impact voltage change by multiplying the power change (current active power change, current reactive power change) and the corresponding power voltage sensitivity (current active power voltage sensitivity, current reactive power voltage sensitivity). The corresponding current local power impact voltage can be expressed as: In the formula, and Distribution network nodes The current active voltage sensitivity and current reactive voltage sensitivity can be updated online in real time based on the micro-increases in voltage and power measured at local nodes. and Distribution network nodes The current changes in active power and current changes in reactive power; for Distribution network nodes at all times The current local power affects the voltage.

[0031] Based on the current slow-regulation equipment operation change data and corresponding current slow-regulation equipment operation voltage sensitivity data of the distribution network node, the voltage impact analysis of the slow-regulation equipment operation is performed to obtain the voltage impact quantity of the current slow-regulation equipment; wherein, the voltage impact quantity of the current slow-regulation equipment can be expressed as: In the formula, A collection of slow-speed voltage regulating devices within a target local control area; For the current slow-speed voltage regulation equipment, the operating voltage sensitivity data is used to identify slow-speed voltage regulation equipment. s Changes in action affect distribution network nodes The voltage sensitivity can be updated online in real time based on the micro-increments in voltage and power measured at local nodes; For the current slow-speed voltage regulating equipment in the data on changes in the operation of the slow-speed regulating equipment s Action change data (action level change or throwing / cutting change). for Distribution network nodes at all times The current slow-adjustment equipment affects the voltage.

[0032] The current local power impact voltage and the current slow-adjustment equipment impact voltage of the distribution network node are summed to obtain the current local node impact voltage; wherein, the current local node impact voltage can be expressed as: In the formula, for Distribution network nodes at all times The voltage is affected by the current local node.

[0033] This embodiment decomposes the local node voltage impact problem of the distribution network into two quantifiable sub-problems: the impact of power change and the impact of slow-adjustment equipment operation. Through sensitivity analysis, it achieves independent quantitative evaluation of each influencing factor, which can effectively avoid the high computational burden caused by complex power flow calculations. It can meet the real-time computing needs of edge intelligent terminals within millisecond-level control cycles, while clearly defining the contribution of different control methods to voltage. This provides clear and interpretable quantitative basis for subsequent voltage coordination control and decision-making, which is conducive to improving the accuracy and response speed of voltage control on the edge side of the distribution network.

[0034] Based on the current state change data of neighboring nodes obtained from the effective state data of the neighboring nodes, and the corresponding channel state data and voltage coupling sensitivity data of the current state change of the neighboring nodes, a voltage coupling influence analysis of the neighboring nodes is performed to obtain the corresponding current neighbor coupling influence voltage. The current state change data of the neighboring nodes includes... Distribution network nodes at all times The changes in the effective state data of all neighboring nodes compared to the previous time step; the voltage coupling sensitivity data corresponding to the current state change includes the voltage sensitivity of the distribution network nodes to the effective state changes of all neighboring nodes, which can also be calculated based on relevant existing technologies; the voltage amount affected by the current neighbor coupling can be expressed as: In the formula, For distribution network nodes The set of adjacent nodes; For the current moment Distribution network nodes With neighboring nodes Channel state between; For the current state change data of adjacent nodes Effective state changes; For adjacent nodes in the current state change voltage coupling sensitivity data The effective state changes affect the voltage sensitivity of distribution network nodes; for Distribution network nodes at all times The current neighbor coupling affects the voltage.

[0035] The voltage deviation value is obtained by summing the voltage influence of the current local node and the voltage influence of the current neighbor coupling at the distribution network node; wherein, the current voltage deviation value can be expressed as: In the formula, for Distribution network nodes at all times The current voltage deviation value.

[0036] Based on the current voltage deviation value of the distribution network node, the corresponding absolute predicted voltage value is obtained. Then, based on the absolute predicted voltage value, with the optimization objective of minimizing voltage tracking deviation and reactive power regulation cost, the distributed reactive power output of the fast voltage regulation equipment is continuously optimized to obtain the regional continuous reactive power control command. Here, the absolute predicted voltage value can be understood as based on the current voltage deviation value and the voltage deviation of the distribution network node at the previous moment. The accumulated value of local voltage measurements; in practical applications, a distributed model predictive controller in the form of quadratic programming (QP) is constructed with the optimization objective of minimizing voltage tracking deviation and reactive power regulation cost, to achieve millisecond-level fast asynchronous voltage regulation, ensuring voltage safety while reducing equipment regulation pressure. The local objective function of the distributed model predictive controller corresponding to the distribution network node is... It can be represented as: In the formula, The prediction step size is preset by the distributed model prediction controller; For distribution network nodes At the present moment The predicted first The step voltage value can be calculated from the local voltage measurement value, the status of neighboring nodes, and the relevant voltage sensitivity model. This is a voltage reference value, usually taken as the rated voltage or the target voltage issued by the dispatch center; For the current moment Distribution network nodes The reactive power adjustment increment of the corresponding fast voltage regulation equipment in the prediction time domain is obtained by optimizing the local objective function. and These are the voltage deviation weight and the reactive power regulation cost weight, respectively. They can be adjusted according to voltage safety requirements and equipment regulation costs, and are not specifically limited here.

[0037] In practical applications, each millisecond-level control cycle t First, establish a system containing N. p The local objective function for each prediction step, wherek To predict the step sequence in the time domain; subsequently, ADMM asynchronous iteration is performed on this prediction problem. m These are the algorithm iteration numbers within the same control cycle, and they are independent of each other. To achieve a fully distributed asynchronous solution for the distributed model predictive controller, the edge intelligent terminal uses the alternating multiplier method to minimize the augmented Lagrangian function and alternately update the local reactive power output and dual variables. For example, in the first... m In this iteration, the distribution network nodes reactive power increment Updated to: in, For distribution network nodes In the m The reactive power increment obtained from +1 iterations is obtained by local solution by the edge intelligent terminal; For distribution network nodes neighboring nodes The reactive power increment estimate in the m-th iteration is obtained based on the effective state data of the aforementioned adjacent nodes (the reactive power increment obtained by delay compensation from real-time received data or historical timestamp data). For distribution network nodes With neighboring nodes The dual multipliers of the inter-consistency constraint are iteratively updated by ADMM (Alternating Direction Method of Multipliers); This is a penalty factor.

[0038] It should be noted that when the ADMM iteration meets the preset convergence condition or reaches the maximum number of iterations, the first step of the optimal reactive power increment sequence is taken as the fast device reactive power instruction for the current control cycle. The state is re-acquired and the solution is rolled over in the next millisecond-level control cycle. That is, in practical applications, the prediction step k is used to describe the future state, and the iteration number m is used to solve the current prediction problem.

[0039] This embodiment not only utilizes a dual-sensor superposition mechanism based on the voltage influence of local and neighboring nodes, fully considering the electrical coupling relationship between nodes in scenarios with high penetration of distributed power sources, but also enables voltage control decisions to simultaneously consider the state information of local nodes and the influence of state changes of neighboring nodes. This allows for accurate calculation and rapid response to the current voltage deviation value of distribution network nodes, thereby improving the global coordination of voltage regulation. Furthermore, by minimizing voltage tracking deviation and reactive power regulation costs as the rapid regulation optimization objective, it achieves synergistic optimization of control accuracy and economy, taking into account both voltage safety requirements and equipment operating costs. This provides distribution network edge intelligent terminals with distributed reactive power regulation capabilities that balance speed, accuracy, and economy, effectively supporting the safe operation of voltage in scenarios with high proportions of distributed photovoltaic access.

[0040] S13. Based on the continuous reactive power output of the fast-adjustment equipment corresponding to the regional reactive power continuous control command, perform a fast-adjustment capability saturation assessment. When it is determined that the current fast-adjustment capability is approaching saturation, issue a regional slow-adjustment action command to the target local control area to perform regional voltage reference adjustment. The fast-adjustment capability saturation assessment can be understood as assessing the overall voltage regulation potential of the fast-adjustment equipment within the target local control area after it has operated within a millisecond period and completed continuous reactive power adjustment. Specifically, the fast-adjustment capability saturation assessment based on the continuous reactive power output of the fast-adjustment equipment corresponding to the regional reactive power continuous control command, and issuing a slow-adjustment action command to the target local control area when it is determined that the current fast-adjustment capability is approaching saturation, includes: Based on the reactive power output values ​​and corresponding maximum rated reactive power capacity of all fast voltage regulating devices at each moment in the continuous reactive power output of the fast-regulating equipment, a regional reactive power margin continuous depletion index is calculated based on a preset reactive power margin depletion index. Here, the continuous reactive power output of the fast-regulating equipment can be understood as the actual continuous reactive power output data of all fast voltage regulating devices within the target local control area after executing the regional reactive power continuous control command, obtained at minute-level cycles, including the continuous reactive power output values ​​of all fast voltage regulating devices. The maximum rated reactive power capacity can be understood as the upper limit of the reactive power capacity of the fast voltage regulating devices; the maximum rated reactive power capacity of each fast voltage regulating device can be the same or different, set based on actual operational safety requirements. The preset reactive power margin depletion index can be understood as the cumulative value of the reactive power output efficiency of all fast voltage regulating devices within the target local control area, which can be expressed as: In the formula, A collection of rapid voltage regulation devices corresponding to the target local control area; This represents the total number of fast voltage regulating devices in the fast voltage regulating device set. For the continuous reactive power output of fast-adjusting equipment, the first in the fast-adjusting voltage regulation equipment collection A fast voltage regulator device at a time The reactive power output value; The first in the collection of rapid voltage regulating equipment The maximum rated reactive power capacity of a fast voltage regulating device; For the continuous depletion index of regional reactive power margin, the time interval is... The regional reactive power margin depletion index.

[0041] Each time step in the continuous depletion index of the regional reactive power margin is determined to be greater than a preset reactive power margin depletion threshold. The preset reactive power margin depletion threshold can be understood as a pre-set safety threshold used to determine whether the overall voltage regulation capability of the fast voltage regulating equipment within the target local control area is approaching saturation, and can be set based on actual application requirements. During the millisecond-level fast voltage regulation process, when continuous reactive power adjustment is executed based on the regional reactive power continuous control command, a continuous fast regulation capability saturation assessment is performed on the target local control area, and the obtained regional reactive power margin depletion index at each time step is compared with the preset reactive power margin depletion threshold to determine whether voltage regulation capability is still available while ensuring control safety.

[0042] When the regional reactive power margin depletion index exceeds the preset reactive power margin depletion threshold and persists for a preset duration, it is determined that the current fast adjustment capability is approaching saturation. Based on the regional voltage deviation, a regional slow adjustment action command for the target local control area is determined and sent to the corresponding slow voltage regulating equipment. That is, in the actual execution of continuous fast adjustment capability saturation assessment, if the regional reactive power margin depletion index exceeds the preset reactive power margin depletion threshold for multiple consecutive moments and the cumulative duration reaches the preset duration, and the voltage deviation of the target local control area still exceeds the preset allowable range or has a continuous tendency to exceed the limit, it is considered that the current fast adjustment capability is approaching saturation. It is necessary to send a regional slow adjustment action command to slow voltage regulating equipment such as on-load tap changers and capacitor banks through a low-frequency communication channel to assist in voltage regulation. Conversely, if the regional reactive power margin depletion index is always less than or equal to the preset reactive power margin depletion threshold, it indicates that the fast voltage regulating equipment still has sufficient capacity to cope with fluctuations. It is only necessary to maintain the current control state and return to the monitoring loop, without activating the slow voltage regulating equipment. It should be noted that during the activation of the slow voltage regulating equipment in the target local control area, the fast voltage regulating equipment in the area continues to operate, but the confirmed value of the slow regulating equipment operation needs to be used as the area voltage reference correction item.

[0043] In this embodiment, the regional slow-adjustment action instructions for the target local control area include sequential action instructions for the slow-voltage regulating devices within the target local control area. That is, in minute-level slow-adjustment, the slow-voltage regulating devices within the target local control area are activated sequentially (one at a time). To avoid the communication and computing power bottlenecks caused by using complex mixed-integer nonlinear programming to solve the regional slow-adjustment action instructions, this embodiment preferably transforms the discrete action instructions of the slow-voltage regulating devices into a rule-based local extremum optimization problem, thereby reducing the computing power burden on the edge computing terminal. Furthermore, it is constrained by the wear and tear of the slow-voltage regulating devices throughout their entire lifecycle, and also considers the execution constraint that the cumulative number of actions per day must be less than the maximum number of actions per day. The corresponding discrete action instructions for the slow-voltage regulating devices can be expressed as: In the formula, It is a rounding function; This refers to the set of slow-speed voltage regulating devices corresponding to the control area. For distribution network nodes time The voltage measurement value; The average voltage sensitivity from the currently activated slow-speed voltage regulating equipment to the equivalent load center. The single-position voltage adjustment step size for the tap changer; For distribution network nodes Normalized electrical distance weights; For a moment The number of times the slow voltage regulator is currently activated; The total number of hours in a day; This is the maximum daily number of actions determined based on constraints throughout the device's entire lifecycle.

[0044] This embodiment is based on a fast-adjustment capacity saturation assessment mechanism that combines dynamic reactive power margin monitoring with threshold duration as a dual criterion. This mechanism enables real-time perception of the adjustment capacity of fast voltage regulators, avoiding the risk of capacity overdraft or adjustment failure caused by prolonged deep adjustment of fast voltage regulators. At the same time, it can promptly introduce slow voltage regulators to take over steady-state adjustment tasks when the fast adjustment capacity is saturated, achieving a smooth transfer of control tasks from fast devices to slow devices. Through the coordination and task connection of fast and slow devices, the advantages of transient rapid response and steady-state fine adjustment are complemented, effectively ensuring the continuity and long-term stability of voltage control in the distribution network under strong fluctuation scenarios of distributed photovoltaics.

[0045] S14. In response to the completion of the regional slow-adjustment action command, dynamically update the reactive power reference control point of the fast-speed equipment in the target local control area to achieve intraday relay adjustment of the fast-speed voltage regulating equipment and the slow-speed voltage regulating equipment. That is, after the current regional slow-adjustment action command is completed, the action confirmation quantity of the currently activated slow-speed regulating equipment is used as the regional voltage reference correction item to adjust the reactive power reference control point of the fast-speed voltage regulating equipment, so as to achieve seamless coordination and intraday relay adjustment of the fast and slow-speed equipment until the corresponding voltage regulation task is completed.

[0046] Specifically, the dynamic updating of the rapid equipment reactive power reference control point of the target local control area includes: Based on the regional slow-adjustment action command, the corresponding regional voltage reference change is obtained; wherein, the regional voltage reference change can be expressed as: In the formula, For current slow voltage regulation equipment s Changes in action affect distribution network nodes Voltage sensitivity; For a moment Corresponding slow voltage regulating equipment s Action instructions; For a moment The change in the voltage reference of the corresponding region refers to the change in the base voltage value within the target local control region after the current slow voltage regulating device executes the action command.

[0047] Based on the change in the regional voltage reference, the current reactive voltage sensitivity of the distribution network node, and the preset reactive power correction smoothing coefficient, the reactive power reference correction of the distribution network node is obtained; wherein, the reactive power reference correction of the distribution network node can be expressed as: in, This is a smoothing coefficient, which can be set based on actual application requirements; For distribution network nodes The reciprocal of the current reactive voltage sensitivity; For a moment Corresponding distribution network node The reactive power reference correction.

[0048] The current reactive power reference value is corrected based on the reactive power reference correction amount of the distribution network node to obtain the corresponding reactive power reference control point for fast equipment; wherein, the reactive power reference control point for fast equipment can be expressed as: in, and For a moment The corresponding current reactive power reference value and the corresponding corrected fast equipment reactive power reference control point.

[0049] The dynamic correction mechanism for reactive power reference points of fast-speed devices based on regional slow-adjustment action commands provided in this embodiment enables the reactive power reference control points of fast-speed voltage regulators to be updated adaptively and collaboratively with the actions of slow-speed voltage regulators. This not only allows fast-speed voltage regulators to release the high reactive power capacity occupied by previous disturbance suppression, regain dynamic adjustment margin, and complete intraday connection adjustment of fast and slow devices, avoiding the problem of mismatch in adjustment reference of fast devices caused by the actions of slow-speed voltage regulators, and effectively preventing control conflicts and oscillations between fast and slow devices, but also enables a gradual transition in the adjustment process of reactive power reference control points by introducing a smoothing coefficient for reactive power correction, avoiding disturbances caused by sudden changes in reactive power reference control points. This achieves intraday multi-timescale collaborative closed-loop control with fast disturbance suppression, slow fallback, and fast reset, ensuring the continuity and smoothness of the voltage control process. It also broadens the adjustable voltage range of the system under the same dispatch resources, avoids ineffective and frequent actions of fast and slow devices, extends the service life of mechanical voltage regulators, and provides stable and coordinated long-term voltage regulation capabilities for the distribution network. It has high engineering applicability and promotion value.

[0050] The edge intelligent terminals of each distribution network node provided in this embodiment of the invention perform voltage over-limit risk detection based on real-time acquired local node status data. When a voltage over-limit risk is determined, the channel state perception matrix of the current control cycle is acquired. Based on the channel state perception matrix, availability analysis processing is performed on the acquired status data of each adjacent node to obtain the effective status data of adjacent nodes. Then, based on the local node status data and the effective status data of adjacent nodes, distributed reactive power output continuous optimization is performed on the fast voltage regulating equipment in the target local control area to obtain the corresponding regional reactive power continuous control command and send it to the corresponding fast voltage regulating equipment. Based on the continuous reactive power output of the fast voltage regulating equipment corresponding to the regional reactive power continuous control command, a fast voltage regulation capability saturation assessment is performed. When it is determined that the current fast voltage regulation capability is approaching the threshold of saturation, the fast voltage regulation capability is saturated. When saturation occurs, a regional slow-adjustment action command is issued to the target local control area to perform regional voltage reference adjustment. In response to the completion of the regional slow-adjustment action command, the technical solution of dynamically updating the reactive power reference control point of the fast equipment in the target local control area not only effectively overcomes the risk of data failure in weak communication environments by introducing a channel state perception matrix to perceive the weak communication environment in real time and perform availability analysis processing on node state data, but also reduces the consumption of control computing power by dividing the distribution network voltage control task into millisecond-level fast asynchronous control and minute-level slow control based on a dual-time-scale decoupling asynchronous control mechanism. This enables efficient and flexible coordinated control of fast and slow equipment, extends the service life of voltage regulating equipment while ensuring voltage safety, and effectively ensures the safe and economical operation of the distribution network.

[0051] Furthermore, to further verify the engineering effectiveness of the proposed method for coordinated voltage control of fast and slow distribution network devices, this embodiment also conducted relevant simulation verification based on a typical IEEE 33-node active distribution network. The corresponding active distribution network topology and voltage regulation device configuration are as follows: Figure 2 As shown. In the simulation verification, the reference voltage of the active distribution network was set to 12.66kV. Four photovoltaic inverters (fast voltage regulation devices) with an installed capacity of 800kVA were connected to nodes 12, 18, 25, and 31. A capacitor bank (CB) was configured at node 15, and an OLTC (both slow discrete devices) was configured at the first-end node 1. At the same time, in order to simulate a real harsh environment, a weak communication network setting was injected into the simulation: during the time period t=100s to t=200s, the communication link between nodes 18 and 25 of the distribution network was set to have a random packet loss rate of 30%, and the one-way transmission delay was as high as 600ms. The simulation results are as follows: 1) At t=100s, the edge intelligent terminal of node 25 detected When the node voltage reaches the set tolerance limit and the channel state of the adjacent node 18 has decayed to 0, node 25 no longer waits for the actual data from the adjacent node 18, but instead switches to second-order Taylor expansion to generate valid data that can participate in voltage regulation calculations. The corresponding simulation results show that even under severe packet loss, the continuous optimization of distributed reactive power output still converges within 3-5 iterations, the inverter continuously outputs smooth reactive power, and the node voltage does not exhibit divergent oscillations.

[0052] 2) Under conditions of high solar power generation at noon, such as when t=300s, the voltage at each node is continuously increased. Initially, the four solar inverters spontaneously absorb reactive power, maintaining the voltage below 1.04 pu. As sunlight intensifies further, the regional reactive power margin depletion index E(t) climbs to 0.88, exceeding the preset reactive power margin depletion threshold of 0.85. After this threshold is exceeded for a certain period, the slow voltage regulation equipment is activated. The system calculates that the OLTC needs to be lowered by one level. .

[0053] 3) At t=320s, the OLTC completed the downshift, and the global voltage reference line dropped by about 1.25%; the synchronous reset mechanism was activated, and after the four photovoltaic inverters received the signal of the change in the regional voltage reference, their reactive power absorption quickly dropped from 750kVar to 150kVar, indicating that the intraday coordinated logic of rapid smoothing, slow bottoming out and rapid reset was realized.

[0054] It should be noted that although the steps in the flowchart above are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise explicitly stated in this document, there is no strict order requirement for the execution of these steps, and they can be executed in other orders.

[0055] In one embodiment, such as Figure 3 As shown, a coordinated voltage control system for fast and slow speed devices in a power distribution network is provided, applied to edge intelligent terminals at various power distribution network nodes. The system includes: Data processing module 10 is used to detect voltage over-limit risk based on real-time acquired local node status data. When it is determined that there is a voltage over-limit risk, it acquires the channel state perception matrix 20 of the current control cycle, and performs availability analysis processing on the acquired status data of each adjacent node based on the channel state perception matrix to obtain the effective status data of the adjacent nodes. The fast voltage regulation module 30 is used to continuously optimize the distributed reactive power output of the fast voltage regulation equipment in the target local control area based on the local node status data and the effective status data of the adjacent nodes, obtain the corresponding regional reactive power continuous control command, and send it to the corresponding fast voltage regulation equipment. The slow voltage regulation module 40 is used to perform a fast regulation capability saturation assessment based on the continuous reactive power output of the fast regulation equipment corresponding to the continuous reactive power regulation command of the region. When it is determined that the current fast regulation capability is approaching saturation, a region slow regulation action command is sent to the target local regulation region to perform regional voltage reference adjustment. The fast adjustment reference update module 50 is used to dynamically update the fast equipment reactive power reference control point of the target local control area in response to the completion of the slow adjustment action command of the area, so as to realize the intraday relay adjustment of the fast voltage regulating equipment and the slow voltage regulating equipment.

[0056] Specific limitations regarding the coordinated voltage control system for fast and slow equipment in distribution networks can be found in the above description of the coordinated voltage control method for fast and slow equipment in distribution networks; the corresponding technical effects are equivalent and will not be repeated here. Each module in the aforementioned coordinated voltage control system for fast and slow equipment in distribution networks can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0057] Figure 4 An internal structural diagram of a computer device is shown in one embodiment. This computer device may specifically be a terminal or a server. Figure 4As shown, the computer device includes a processor, memory, network interface, display, camera, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it can implement a method for coordinated voltage control of fast and slow devices in a power distribution network. The display screen can be an LCD screen or an e-ink display screen. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0058] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. Specific computing devices may include more or fewer components than those shown in the figure, or combine certain components, or have the same component arrangement.

[0059] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described above.

[0060] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0061] In summary, the present invention provides a method, system, computer device, and storage medium for coordinated voltage control of fast and slow devices in a power distribution network. This not only effectively overcomes the risk of data failure in weak communication environments by introducing a channel state perception matrix to perceive weak communication environments in real time and perform availability analysis on node state data, but also reduces control computational power consumption by dividing the power distribution network voltage control task into millisecond-level fast asynchronous control and minute-level slow control based on a dual-time-scale decoupling mechanism. This achieves efficient and flexible coordinated control of fast and slow devices, extending the service life of voltage regulating equipment while ensuring voltage safety, and effectively guaranteeing the safe and economical operation of the power distribution network.

[0062] The various embodiments in this specification are described in a progressive manner. For directly identical or similar parts of the embodiments, refer to each other. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments. It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0063] The embodiments described above are merely preferred embodiments of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various improvements and substitutions without departing from the principles of the present invention, and these improvements and substitutions should also be considered within the scope of protection of the present invention. Therefore, the scope of protection of this invention should be determined by the scope of the claims.

Claims

1. A method for coordinated voltage control of fast and slow speed equipment in a power distribution network, characterized in that, The method, applied to edge intelligent terminals at various distribution network nodes, includes: Voltage over-limit risk detection is performed based on real-time acquired local node status data. When a voltage over-limit risk is determined, the channel state perception matrix of the current control cycle is acquired. Based on the channel state perception matrix, availability analysis processing is performed on the status data of each adjacent node to obtain the effective status data of the adjacent nodes. Based on the local node status data and the effective status data of the adjacent nodes, the distributed reactive power output of the fast voltage regulating equipment in the target local control area is continuously optimized to obtain the corresponding regional reactive power continuous control command and send it to the corresponding fast voltage regulating equipment. Based on the continuous reactive power output of the fast-adjustment equipment corresponding to the continuous reactive power control command of the region, the saturation assessment of the fast-adjustment capability is performed. When it is determined that the current fast-adjustment capability is approaching saturation, a slow-adjustment action command is issued to the target local control region to perform regional voltage reference adjustment. In response to the completion of the slow adjustment action command in the region, the fast equipment reactive power reference control point of the target local control region is dynamically updated to realize intraday relay adjustment of fast voltage regulating equipment and slow voltage regulating equipment.

2. The method for coordinated voltage control of fast and slow speed equipment in a power distribution network as described in claim 1, characterized in that, The step of obtaining the channel state awareness matrix for the current control period includes: The communication data packets between each distribution network node and each adjacent node within the current control cycle are parsed and analyzed to obtain the channel packet loss rate and asymmetric transmission delay between the distribution network node and each adjacent node; the communication data packets include node identifier, status data, sending timestamp, receiving timestamp, and packet sequence number; Each distribution network node is determined to have a channel packet loss rate and asymmetric transmission delay between each adjacent node within the corresponding preset threshold range. If not, the channel state between each distribution network node and its corresponding adjacent node is set to zero. Otherwise, the channel state is obtained by performing a reliable weight mapping based on the exponential decay model according to the corresponding channel packet loss rate and asymmetric transmission delay. The channel state perception matrix is ​​generated based on the channel state between each distribution network node and each adjacent node.

3. The method for coordinated voltage control of fast and slow speed equipment in a power distribution network as described in claim 1, characterized in that, The step of performing availability analysis on the state data of each adjacent node based on the channel state awareness matrix to obtain effective state data of the adjacent nodes includes: Based on the channel state perception matrix, the channel state of the distribution network node and each adjacent node is obtained, and it is determined whether the channel state of the distribution network node and each adjacent node is zero. When the channel state between the distribution network node and each adjacent node is non-zero, the state data of the corresponding adjacent node is determined to be usable data, and the state data of the corresponding adjacent node is used as the effective state data of the corresponding adjacent node in the effective state data of the adjacent node. When the channel state between the distribution network node and each adjacent node is zero, the state data of the corresponding adjacent node is determined to be unusable data. Based on the first and second rate of change of the historical state data of the adjacent node, the current state is estimated based on the second-order Taylor expansion, and the obtained state estimation data of the corresponding adjacent node is used as the effective state data of the corresponding adjacent node in the effective state data of the adjacent node.

4. The method for coordinated voltage control of fast and slow speed equipment in a power distribution network as described in claim 1, characterized in that, The step of optimizing the distributed reactive power output of the fast voltage regulation equipment in the target local control area based on the local node status data and the effective status data of the adjacent nodes to obtain the corresponding regional reactive power control command includes: Voltage sensitivity analysis is performed on the active power, reactive power, and slow voltage regulation device operation data in the local node status data to obtain the corresponding current local node's voltage impact. Based on the current state change data of the neighboring nodes obtained from the effective state data of the neighboring nodes, as well as the corresponding channel state data and current state change voltage coupling sensitivity data of the neighboring nodes, the voltage coupling effect of the neighboring nodes is analyzed to obtain the corresponding current neighbor coupling effect voltage. The voltage deviation value is obtained by summing the voltage affected by the current local node and the voltage affected by the current neighbor coupling of the distribution network node. Based on the current voltage deviation value of the distribution network node, the corresponding absolute predicted voltage value is obtained. Based on the absolute predicted voltage value, with the optimization objective of minimizing voltage tracking deviation and reactive power regulation cost, the distributed reactive power output of the fast voltage regulation device is continuously optimized to obtain the regional reactive power continuous control command.

5. The method for coordinated voltage control of fast and slow speed equipment in a power distribution network as described in claim 4, characterized in that, The voltage sensitivity analysis is performed based on the active power, reactive power, and slow voltage regulation device operation data in the local node status data to obtain the corresponding local node's impact on voltage, including: Based on the active power, reactive power and slow voltage regulation equipment action data in the local node status data, the current active power change, current reactive power change and current slow voltage regulation equipment action change data corresponding to the distribution network node are calculated respectively. Based on the current active voltage sensitivity, current reactive voltage sensitivity, current active voltage change, and current reactive voltage change of the distribution network node, a power impact voltage analysis is performed to obtain the current local power impact voltage. Based on the current slow-adjustment equipment operation change data and the corresponding current slow-adjustment equipment operation voltage sensitivity data of the distribution network node, the voltage impact of the slow-adjustment equipment operation is analyzed to obtain the voltage impact of the current slow-adjustment equipment. The voltage impact of the current local power at the distribution network node and the voltage impact of the current slow-adjustment equipment are summed to obtain the voltage impact of the current local node.

6. The method for coordinated voltage control of fast and slow speed equipment in a power distribution network as described in claim 1, characterized in that, The step of performing a fast-adjustment capability saturation assessment based on the continuous reactive power output of the fast-adjustment equipment corresponding to the continuous reactive power control command for the region, and issuing a slow-action command to the target local control region when it is determined that the current fast-adjustment capability is approaching saturation, includes: Based on the reactive power output value and corresponding maximum rated reactive capacity of all fast voltage regulating devices at each moment in the continuous reactive power output of the fast voltage regulating device, the regional reactive power margin continuous depletion index is calculated based on the preset reactive power margin depletion index. Determine whether the regional reactive power margin depletion index at each time point in the continuous depletion index of the regional reactive power margin is greater than the preset reactive power margin depletion threshold. When the regional reactive power margin depletion index is greater than the preset reactive power margin depletion threshold and continues for a preset duration, it is determined that the current fast adjustment capability is approaching saturation. Based on the regional voltage deviation, a regional slow adjustment action command for the target local control area is determined and sent to the corresponding slow voltage regulation device.

7. The method for coordinated voltage control of fast and slow speed equipment in a power distribution network as described in claim 1, characterized in that, The dynamic updating of the rapid equipment reactive power reference control point of the target local control area includes: According to the slow adjustment action command for the region, the corresponding change in the region voltage reference is obtained; The reactive power reference correction amount of the distribution network node is obtained based on the change in the regional voltage reference, the current reactive power voltage sensitivity of the distribution network node, and the preset reactive power correction smoothing coefficient. The current reactive power reference value is corrected based on the reactive power reference correction amount of the distribution network node to obtain the corresponding fast equipment reactive power reference control point.

8. A voltage control system for coordinated operation of fast and slow equipment in a power distribution network, characterized in that, An edge intelligent terminal applied to various distribution network nodes, the system comprising: The data processing module is used to detect voltage over-limit risks based on real-time acquired local node status data. When a voltage over-limit risk is determined, the module acquires the channel state perception matrix for the current control cycle and performs availability analysis on the status data of each adjacent node based on the channel state perception matrix to obtain the effective status data of the adjacent nodes. The fast voltage regulation module is used to continuously optimize the distributed reactive power output of the fast voltage regulation equipment in the target local control area based on the local node status data and the effective status data of the adjacent nodes, and to obtain the corresponding regional reactive power continuous control command and send it to the corresponding fast voltage regulation equipment. The slow voltage regulation module is used to perform a saturation assessment of the fast regulation capability based on the continuous reactive power output of the fast regulation equipment corresponding to the continuous reactive power regulation command of the region. When it is determined that the current fast regulation capability is approaching saturation, a slow regulation action command is issued to the target local regulation region to perform regional voltage reference adjustment. The fast adjustment reference update module is used to dynamically update the fast equipment reactive power reference control point of the target local control area in response to the completion of the slow adjustment action command in the area, so as to realize the intraday relay adjustment of the fast voltage regulating equipment and the slow voltage regulating equipment.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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