A voltage hierarchical optimization method and system for a multi-type regulation resource power distribution network

Abstract

This disclosure provides a voltage hierarchical optimization method and system for distribution networks with multiple types of regulating resources, applied in the field of distribution network technology. The method includes determining the coverage area of ​​the distribution network based on the voltage loss threshold of each load, and then dividing the distribution network into different hierarchical regions using load characteristics, time regulation characteristics, and distributed generation characteristics as constraints. Different resource allocation strategies are adapted to different hierarchical regions. Objective functions and constraints are constructed for the fast response layer, medium response layer, and slow response layer, respectively, based on the different characteristics of each level. Real-time operating data of the distribution network is acquired, and it is determined whether the real-time operating data triggers preset conditions. The corresponding allocation strategy is then applied to adjust the voltage according to the hierarchical region corresponding to the node that triggered the preset conditions. This disclosure not only solves the pain points of traditional distribution network voltage control but also adapts to the new requirements of large-scale distributed generation integration.

Description

Technical Field

[0001] This disclosure relates to the field of distribution network technology, and in particular to a voltage hierarchical optimization method and system for distribution networks with multiple types of regulating resources. Background Technology

[0002] With the large-scale integration of distributed power sources (such as photovoltaic and wind power) and new loads (such as electric vehicles and energy storage), voltage control in distribution networks faces complex challenges. The randomness and intermittency of distributed power sources lead to uneven load distribution in the grid, exacerbating voltage fluctuations, while traditional centralized dispatching methods struggle to respond quickly to dynamic changes. Simultaneously, the distribution network structure is evolving from a single radial pattern to a multi-source, multi-interconnected mesh, highlighting the need for cross-regional and cross-voltage-level voltage coordination, and highlighting the urgent need to address the low efficiency of long-distance regulation.

[0003] Therefore, there is an urgent need to develop a voltage hierarchical optimization method and system for distribution networks with multiple types of regulating resources to solve the above problems. Summary of the Invention

[0004] This disclosure provides a voltage hierarchical optimization method and system for distribution networks with multiple types of regulating resources to solve the above-mentioned problems. It addresses the issues of uneven grid load distribution and increased voltage fluctuations caused by distributed generation, which make it difficult for existing methods to respond quickly to dynamic changes.

[0005] According to a first aspect of this disclosure, a voltage hierarchical optimization method for a distribution network with multiple types of regulating resources is provided. The method includes: The coverage area of ​​the distribution network is determined based on the voltage loss threshold of each load. Then, the load characteristics, time regulation characteristics and distributed generation characteristics are used as constraints to divide the distribution network into different levels of regions, and different resource allocation strategies are adapted to different levels of regions. For the fast response layer, medium response layer and slow response layer, objective functions and constraints are constructed respectively, and the objective functions and constraints are constructed based on the different characteristics of different layers; The system acquires real-time operating data of the power distribution network, determines whether the real-time operating data has triggered preset conditions, and adjusts the voltage according to the corresponding calling strategy of the hierarchical region corresponding to the node that triggered the preset conditions.

[0006] Furthermore, the hierarchy includes a fast response layer, a medium-speed response layer, and a slow response layer. The fast response layer handles the most instantaneous voltage fluctuations and prioritizes the use of distributed resources to cope with them. The medium-speed response layer balances the efficiency and losses between devices when calling resources. The slow response layer compensates for losses based on long-distance transmission.

[0007] Furthermore, different resource allocation strategies are adapted for different tiers of regions, including: The fast response layer prioritizes calling distributed resources to respond, and then calls flexible interconnect devices for auxiliary adjustment; The medium-speed response layer prioritizes calling the line voltage regulation device, and then calls the distributed power supply within the hierarchical area; The slow response prioritizes adjusting the voltage reference set at the substation tap changer before invoking the flexible interconnection device.

[0008] Furthermore, the objective function of the fast response layer is constructed based on the voltage deviation, energy storage state of charge change and distance-related penalty in the corresponding distribution network area, and is used to calculate the optimal strategy corresponding to minimizing voltage deviation, energy storage charge loss and additional losses caused by long-distance regulation. The constraints of the fast response layer are constructed based on the maximum energy storage power and distance-related limitations, which are used to limit the regulation capability of long-distance energy storage. The objective function of the medium-speed response layer is constructed based on voltage deviation, reactive power loss, and distance-related penalty, and is used to determine the optimal strategy that minimizes voltage deviation, reactive power loss, and oscillation risk; among which, the distance-related penalty is used to control the balance between distance and regulation efficiency. The constraints of the medium-speed response layer are constructed based on the photovoltaic rated capacity and electrical distance limitations, and are used to limit the transmission of photovoltaic reactive power over long distances; The objective function of the slow response layer is constructed based on the global average voltage deviation, total line loss, device capacity, and distance-related penalty, and is used to calculate the global optimization strategy. The constraints of the slow response layer are constructed based on the peak load capacity and distance-related capacity, and are used to determine the compensation requirements for flexible interconnect devices to adapt to long-distance losses.

[0009] Furthermore, real-time operating data of the distribution network is acquired, it is determined whether the real-time operating data has triggered preset conditions, and the voltage is adjusted according to the corresponding calling strategy based on the hierarchical region corresponding to the node that triggered the preset conditions, including: Based on the real-time running data, a dataset for each node is constructed, and the hierarchical region is determined for each node's dataset to obtain the corresponding hierarchical region. The corresponding calling strategy is determined and the call is performed according to the hierarchical region corresponding to each node.

[0010] Furthermore, hierarchical region determination is performed on the dataset of each node, including: Following the order of fast response layer, medium response layer, and slow response layer, the dataset is sequentially judged to determine whether it meets the combination conditions of one of the layers. If it does, it is marked as the corresponding layer region. The combination conditions include different judgment rules set for each layer region based on voltage loss threshold, load characteristics, time regulation characteristics, and distributed power source characteristics.

[0011] Furthermore, it also includes: The fast response layer is set to have the highest priority, followed by the medium response layer, and the slow response layer has the lowest priority. Within a preset time range, the low-priority region call strategy corresponding to the preset conditions will be triggered again to replace the high-priority region call strategy.

[0012] According to a second aspect of this disclosure, a voltage hierarchical optimization system for a multi-type regulating resource distribution network is provided, comprising: a partitioning module, used to determine the coverage area of ​​the distribution network based on the voltage loss threshold of each load, and then using load characteristics, time regulation characteristics and distributed generation characteristics as constraints to divide the distribution network into different hierarchical areas, with different resource call strategies adapted to different hierarchical areas; A construction module, connected to the partitioning module, is used to construct objective functions and constraints for the fast response layer, medium-speed response layer and slow response layer respectively, wherein the objective functions and constraints are constructed based on different characteristics of different layers; The adjustment module, connected to the division module, is used to acquire real-time operating data of the distribution network, determine whether the real-time operating data has triggered a preset condition, and adjust the voltage according to the corresponding calling strategy of the hierarchical area corresponding to the node that triggered the preset condition.

[0013] According to a third aspect of this disclosure, an electronic device is provided, including a memory, a processor, and a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor to implement a voltage hierarchical optimization method for a multi-type regulating resource distribution network.

[0014] According to a fourth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon; the computer program is executed by a processor to implement a voltage hierarchical optimization method for a multi-type regulating resource distribution network.

[0015] The beneficial effects of this disclosure are: This disclosure determines the hierarchical coverage range by correlating voltage loss with distance, thus limiting long-distance regulation from the source; by setting corresponding objective functions and constraints for different hierarchical areas, it reduces line transmission loss, avoids system oscillations caused by long-distance reactive power transmission of photovoltaics, and reduces equipment failure and operation and maintenance costs. This disclosure addresses the pain points of traditional distribution network voltage control and adapts to the new demand for large-scale distributed power source integration.

[0016] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of this disclosure, nor is it intended to restrict the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0017] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of this disclosure. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein: Figure 1 A flowchart is shown below illustrating the voltage hierarchical optimization method for a multi-type regulating resource distribution network provided in an embodiment of this disclosure. Figure 2 A simplified flowchart of the voltage hierarchical optimization method for a multi-type regulating resource distribution network provided in this disclosure is shown. Figure 3 A framework diagram of a voltage hierarchical optimization system for a multi-type regulating resource distribution network provided in an embodiment of this disclosure is shown. Figure 4 A block diagram of an electronic device provided according to an embodiment of the present disclosure is shown. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0019] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0020] Distributed power sources are often deployed in a decentralized manner, and their output is random during regulation. Existing systems, such as those for electric vehicles, have large load fluctuations, and centralized control cannot quickly respond to local instantaneous problems. At the same time, they cannot effectively balance power over long distances. Moreover, the longer the line, the greater the voltage loss. Long-distance regulation greatly reduces efficiency and is also very likely to cause oscillations in the distribution network, resulting in irreversible damage.

[0021] This disclosure provides a voltage hierarchical optimization method for distribution networks with multiple types of regulating resources. (See also...) Figure 1 and Figure 2 The method specifically includes the following steps: S1. Determine the coverage area of ​​the distribution network based on the voltage loss threshold of each load, and then divide the distribution network into different levels of regions by taking load characteristics, time regulation characteristics and distributed power generation characteristics as constraints. Different resource allocation strategies are adapted to different levels of regions.

[0022] This disclosure describes how to hierarchically divide the distribution network according to physical laws and optimize its operation based on different functional requirements, thereby improving the overall efficiency of the distribution network system.

[0023] The hierarchy includes a fast response layer, a medium response layer, and a slow response layer. The fast response layer handles the most instantaneous voltage fluctuations and prioritizes the use of distributed resources to cope with them. The medium response layer balances the efficiency and losses between devices. The slow response layer compensates for these fluctuations based on long-distance transmission.

[0024] For the fast response layer, secondary fluctuations should be avoided as much as possible; the medium response layer needs to minimize losses and maximize utilization among different devices; the losses of the slow response layer can be offset by adjusting the distribution network structure or reactive power capacity.

[0025] Specifically, the voltage loss of a distribution network is positively correlated with the line distance, as shown in the following formula: , in, Indicates voltage loss. X represents the resistance value, and X represents the reactance value. The angle represents the power factor, and I represents the current value.

[0026] Different voltage loss thresholds are set for each level. Based on these thresholds, the maximum distance of coverage for different levels can be obtained, avoiding excessive loss or unqualified voltage caused by long-distance adjustment.

[0027] , in, This indicates the maximum distance covered by different tiers. This represents the average current value of the line. This represents the average reactance of the line. This represents the average resistance of the line. The angle α represents the average power factor. b indicates that a and b are proportional.

[0028] Based on the above division, each level corresponds to a safety upper limit under various conditions when meeting the regulation requirements. For example, the voltage loss threshold of the fast response layer can be set to 1 / 2 of the maximum allowable instantaneous voltage fluctuation to minimize fluctuations during the regulation process and reduce the impact on various loads; the voltage loss threshold of the medium response layer can be set to 1 / 2 of the allowable voltage deviation during stable system operation to ensure the stability of the distribution network while minimizing losses; the voltage loss threshold of the slow response layer can be set to 3 / 4 of the maximum allowable voltage loss for long-distance transmission to avoid consuming too many resources and failing to achieve the corresponding regulation effect.

[0029] Based on the above physical principles, the division also considers the load characteristics, time regulation characteristics, and distributed generation characteristics of the distribution network. Failure to consider these factors would result in mismatches between functions and levels, such as causing slow-response layers to handle instantaneous changes, leading to excessively late response times and affecting the normal operation of related equipment. (1) Load characteristics This disclosure sets up quantitative rules to determine load characteristics, avoiding reliance on specific application scenarios of equipment, and is more adaptable to different distribution network systems.

[0030] Based on the stability of the distribution network system, the load characteristics include the scope of influence, the intensity of disturbance, and the number of disturbances. When the intensity of disturbance exceeds the preset value, it will cause a large voltage fluctuation in the distribution network, which requires timely response and suppression. When the scope of influence does not cross the region, it is determined that local problems do not need to be dealt with on a large scale, so as to reduce the waste of resources.

[0031] Therefore, rules are set to combine the impact range, disturbance intensity, and disturbance frequency to determine the corresponding load type, and then different levels are matched according to the load type. For example, sudden load changes correspond to the fast response level, multi-regional distribution network coordinated response to cope with load changes corresponds to the medium-speed response level, and unified configuration of multi-regional distribution networks to cope with load changes corresponds to the slow response level.

[0032] In one specific embodiment, different levels correspond to different load characteristics, and different load judgment rules are set to meet the response requirements of different levels. For example, if the affected area is the same transformer power supply area, i.e., a single transformer area, and the disturbance intensity is greater than a preset intensity value and the number of disturbances is greater than a preset number value, then the corresponding load type is considered to belong to the fast response zone, and voltage fluctuations need to be suppressed immediately to maintain voltage stability.

[0033] (2) Time adjustment characteristics The intensity and duration of voltage fluctuations can affect the normal operation of surrounding equipment. For example, if a sudden and large-scale instantaneous fluctuation occurs and cannot be restored in a short period of time, it may cause equipment to trip. For long-term small fluctuations, it is necessary to optimize the overall structure of the power distribution network.

[0034] In one specific embodiment, different levels correspond to different time adjustment characteristics, and different time adjustment judgment rules are set to meet the response requirements of different levels. For example, if the fluctuation time is short, less than or equal to a preset fluctuation value, such as 100ms, the recovery time needs to be short and the response needs to be fast.

[0035] (3) Characteristics of distributed power sources Ignoring the deployment of distributed power sources would lead to a waste of resources. Centralized distributed power storage is suitable for rapid short-distance response, while decentralized distributed power requires global adjustments.

[0036] In one specific embodiment, different levels correspond to different distributed power deployment types. First, the type of each distributed power source is determined, and then the corresponding level resource call rules are invoked. For example, the fast response layer prioritizes centralized power sources, the medium response layer adapts to widely accessible power sources, and the slow response layer compensates for the losses of distributed power sources.

[0037] In summary, different levels adapt to different resource access rules, specifically including: The fast response layer is used to prioritize the use of centralized distributed power sources to leverage their advantages of rapid adjustment over short distances. If energy storage coverage is insufficient, it will call upon nearby flexible interconnected devices for auxiliary adjustment.

[0038] The medium-speed response layer is used for widely accessible distributed power sources to achieve coordinated regulation of multiple distribution areas; it prioritizes the use of voltage regulation devices on nearby lines, optimizes the use of photovoltaic power sources within the hierarchical area according to electrical distance, and calculates reactive power output allocation schemes to balance the reactive power distribution of multiple distribution areas.

[0039] The slow response layer is used to compensate for the access loss of distributed power sources to ensure global voltage stability. The voltage reference set by the substation tap can be adjusted first, and then the flexible interconnection device can be called. It is necessary to ensure that the capacity of the flexible interconnection device is large enough.

[0040] It should be noted that the above division of the distribution network area is based on physical and functional attributes, not on the equipment. Equipment needs to be adapted to a level according to the real-time data changes of the distribution network, and the same equipment is often adapted to only one level. That is, it is not that a certain energy storage device is directly classified as a fast response layer device, but rather that a distribution network area with close proximity, frequent local load changes, and dense deployment of centralized energy storage is first classified as a fast response zone. Because of its centralized, millisecond-level response characteristics, the energy storage device is well-suited to the regulation requirements of the fast response zone and will adopt the corresponding dispatch strategy of the fast response layer.

[0041] The resulting hierarchy will not be redefined due to abnormal voltage fluctuations or load changes on a particular day. Subsequently, it is necessary to adapt each device in the distribution network to correspond with the three hierarchy levels.

[0042] This disclosure is not based on any specific scenario, but only on data standards for classification, making it more applicable to various distribution network systems. It takes the positive correlation between voltage and distance as the most basic constraint, and integrates the characteristics of load, response speed, and power distribution, so that the regulation resources, coverage, and control objectives of each layer are precisely matched with actual needs. It can solve voltage problems and match the deployment location of distributed power sources.

[0043] S2. For the fast response layer, medium response layer and slow response layer, respectively, objective functions and constraints are constructed, and the objective functions and constraints are constructed based on the different characteristics of different layers.

[0044] In this disclosure, the regulating resources include energy storage, photovoltaics, and flexible interconnect devices, as described below: (a) Fast Response Layer The objective function of the fast response layer is constructed based on the voltage deviation, energy storage charge state change and distance-related penalty in the corresponding distribution network area. It is used to calculate the optimal strategy that minimizes voltage deviation, energy storage charge loss and additional losses caused by long-distance regulation. The constraints of the fast response layer are constructed based on the maximum power of energy storage and distance-related limits, which are used to limit the regulation capability of long-distance energy storage; For example, the objective function of the fast response layer can be expressed by the following formula: , in, This represents the set of nodes in the fast response layer, including all power-consuming nodes in the nearby area. This represents the voltage deviation weighting coefficient of node i. This represents the real-time voltage at node i. This indicates the preset standard reference voltage. This indicates the voltage loss threshold; if this value is exceeded, regulation needs to be initiated. This represents the weighting coefficient for energy storage status adjustment. This represents the first distance penalty coefficient, used to balance distance and adjust efficiency. It represents the change in state of charge at time t, used to reflect the magnitude of charging and discharging.

[0045] The constraints of the fast response layer can be expressed by the following formula: , in, This represents the actual output power of the energy storage system in the distribution network at time t. This indicates the maximum rated output power of the energy storage system in the distribution network. This indicates the maximum effective regulation distance of the energy storage system in the distribution network.

[0046] In summary, the fast response layer reduces inefficient long-distance regulation by setting objective functions and constraints, maximizing the stability of the distribution network voltage and ensuring equipment safety.

[0047] (ii) Medium-speed response layer The objective function of the medium-speed response layer is constructed based on voltage deviation, reactive power loss, and distance-related penalty to determine the optimal strategy that minimizes voltage deviation, reactive power loss, and oscillation risk; among which, the distance-related penalty is used to control the balance between distance and regulation efficiency. The constraints of the medium-speed response layer are constructed based on the rated capacity of photovoltaics and electrical distance limitations, and are used to limit the transmission of photovoltaic reactive power over long distances; For example, the objective function of the medium-speed response layer can be expressed by the following formula: , in, This represents the set of nodes in the medium-speed response layer. This represents the real-time voltage at node j. This represents the voltage deviation weighting coefficient corresponding to node j. This represents the reactive power penalty factor. This represents the second distance penalty coefficient. Indicates the line Real-time reactive power, Indicates the path from node j to the line. Electrical distance.

[0048] The objective constraint of the medium-speed response layer can be expressed by the following formula: , in, This indicates the real-time reactive power output of the photovoltaic power generation system. Indicates the rated capacity of the photovoltaic power generation system. This indicates the real-time output active power of the photovoltaic power generation system. This indicates the maximum effective distance for reactive power generation of a photovoltaic power generation system.

[0049] In summary, the objective function and constraints of the medium-speed response layer prevent long-distance transmission of photovoltaic reactive power.

[0050] (III) Slow Response Layer The objective function of the slow response layer is constructed based on the global average voltage deviation, total line loss, device capacity, and distance-related penalties, and is used to calculate the global optimization strategy. The constraints of the slow response layer are constructed based on the peak load capacity and distance-related capacity to determine the compensation requirements for flexible interconnect devices to adapt to long-distance losses.

[0051] In summary, the objective function and constraints of the slow response layer ensure that the capacity of the flexible interconnection device is sufficient to compensate for long-distance line losses, thus guaranteeing the overall stability of the distribution network system.

[0052] S3. Obtain real-time operation data of the distribution network, determine whether the real-time operation data has triggered a preset condition, and adjust the voltage according to the corresponding calling strategy of the hierarchical area corresponding to the node that triggered the preset condition.

[0053] Real-time operational data includes at least the real-time voltage of each node, real-time load power, real-time maximum active power of distributed power sources, and electrical distance. The acquired real-time operational data can be preprocessed to ensure data quality.

[0054] S31. Based on the real-time running data, construct the dataset for each node, and determine the hierarchical region for the dataset of each node to obtain the corresponding hierarchical region. Based on real-time operational data, the real-time voltage deviation, real-time load change, real-time distance data, and power supply active power fluctuation are calculated to obtain a dataset. For example, the voltage deviation is obtained by subtracting the system standard reference voltage from the real-time voltage at each node and taking the absolute value.

[0055] The hierarchical determination of the dataset includes: Following the order of fast response layer, medium response layer, and slow response layer, the dataset is sequentially judged to determine whether it meets the combination conditions of one of the layers. If it does, it is marked as the corresponding layer region. The combination conditions include different judgment rules set for each layer region based on voltage loss threshold, load characteristics, time regulation characteristics, and distributed power source characteristics. The input dataset is compared with the preset threshold distance range of each layer region. If each condition is met, it is determined to be the dataset corresponding to that layer region.

[0056] For example, if the influence range of a node is the same transformer power supply area, i.e. a single transformer area, and the disturbance intensity is greater than the preset intensity value, the number of disturbances is greater than the preset number of disturbances, the fluctuation time is short, less than or equal to the preset fluctuation value, etc., then the corresponding load type is considered to belong to the fast response zone.

[0057] Prioritize and address the chain reactions caused by instantaneous voltage fluctuations promptly to avoid hierarchical conflicts and improve the timeliness of regulation.

[0058] S32. Determine the corresponding invocation strategy according to the hierarchical region of each node and make the invocation accordingly; By employing different calling strategies for different regions, varying response requirements are met, improving adjustment accuracy, ensuring safe operation of the equipment, prioritizing the use of nearby resources, and reducing transmission losses.

[0059] It should be noted that if the corresponding level cannot effectively regulate voltage fluctuations and real-time monitoring is in place, if the preset conditions are triggered again within a preset time range, the corresponding low-priority level area invocation strategy will be replaced by the high-priority level area invocation strategy. That is, based on the priority order of the fast response layer, medium-speed response layer, and slow response layer, with the fast response layer having the highest priority and the slow response layer having the lowest priority, voltage problems that low-priority levels cannot resolve are transferred to higher-priority levels for handling. This avoids over-regulation or under-regulation and reduces the risk of oscillations in the distribution network system.

[0060] Based on the above technical solutions, this disclosure determines the hierarchical coverage range by the correlation between voltage loss and distance, thereby limiting long-distance regulation from the source; by setting corresponding objective functions and constraints for different hierarchical areas, it reduces line transmission loss, avoids system oscillations caused by long-distance reactive power transmission of photovoltaics, and reduces equipment failure and operation and maintenance costs. This disclosure addresses the pain points of traditional distribution network voltage control and adapts to the new demand for large-scale distributed power source integration.

[0061] It should be noted that, for the foregoing embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this disclosure.

[0062] The acquisition, storage, and application of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0063] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing embodiments, and will not be repeated here.

[0064] This disclosure also provides a voltage hierarchical optimization system 300 for a multi-type regulating resource distribution network, see [link to relevant documentation]. Figure 3 Specifically, it includes: The partitioning module 310 is used to determine the coverage of the distribution network based on the voltage loss threshold of each load. Then, load characteristics, time regulation characteristics and distributed generation characteristics are used as constraints to divide the distribution network into different levels of regions. Different resource allocation strategies are adapted to different levels of regions. The construction module 320, connected to the partitioning module 310, is used to construct objective functions and constraints for the fast response layer, medium response layer and slow response layer respectively, wherein the objective functions and constraints are constructed based on different characteristics of different layers; The adjustment module 330, connected to the division module 320, is used to acquire real-time operating data of the distribution network, determine whether the real-time operating data has triggered a preset condition, and adjust the voltage according to the corresponding calling strategy of the hierarchical area corresponding to the node that triggered the preset condition.

[0065] Figure 4 A schematic block diagram of an electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0066] Electronic device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in ROM 402 or a computer program loaded into RAM 403 from storage unit 408. RAM 403 can also store various programs and data required for the operation of electronic device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O interface 405 is also connected to bus 404.

[0067] Multiple components in electronic device 400 are connected to I / O interface 405, including: input unit 405, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows electronic device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0068] The computing unit 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various processes described above. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 400 via ROM 402 and / or communication unit 409.

[0069] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0070] The program code used to implement the schemes of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0071] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0072] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including voice input, speech input, or tactile input).

[0073] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0074] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0075] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0076] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A voltage hierarchical optimization method for a multi-type regulating resource distribution network, characterized in that, Includes the following steps: The coverage area of ​​the distribution network is determined based on the voltage loss threshold of each load. Then, the load characteristics, time regulation characteristics and distributed generation characteristics are used as constraints to divide the distribution network into different levels of regions, and different resource allocation strategies are adapted to different levels of regions. For the fast response layer, medium response layer and slow response layer, objective functions and constraints are constructed respectively, and the objective functions and constraints are constructed based on the different characteristics of different layers; The system acquires real-time operating data of the power distribution network, determines whether the real-time operating data has triggered preset conditions, and adjusts the voltage according to the corresponding calling strategy of the hierarchical region corresponding to the node that triggered the preset conditions.

2. The voltage hierarchical optimization method for a multi-type regulating resource distribution network according to claim 1, characterized in that, The hierarchy includes a fast response layer, a medium response layer, and a slow response layer. The fast response layer handles the most instantaneous voltage fluctuations and prioritizes the use of distributed resources to cope with them. The medium response layer balances the efficiency and losses between devices when calling resources. The slow response layer compensates for losses based on long-distance transmission.

3. The voltage hierarchical optimization method for a multi-type regulating resource distribution network according to claim 1, characterized in that, Different resource allocation strategies are adapted to different tiers of regions, including: The fast response layer prioritizes calling distributed resources to respond, and then calls flexible interconnect devices for auxiliary adjustment; The medium-speed response layer prioritizes calling the line voltage regulation device, and then calls the distributed power supply within the hierarchical area; The slow response prioritizes adjusting the voltage reference set at the substation tap changer before invoking the flexible interconnection device.

4. The voltage hierarchical optimization method for a multi-type regulating resource distribution network according to claim 1, characterized in that, The objective function of the fast response layer is constructed based on the voltage deviation, energy storage state of charge change and distance-related penalty in the corresponding distribution network area. It is used to calculate the optimal strategy corresponding to minimizing voltage deviation, energy storage charge loss and additional losses caused by long-distance regulation. The constraints of the fast response layer are constructed based on the maximum energy storage power and distance-related limitations, which are used to limit the regulation capability of long-distance energy storage. The objective function of the medium-speed response layer is constructed based on voltage deviation, reactive power loss, and distance-related penalty, and is used to determine the optimal strategy that minimizes voltage deviation, reactive power loss, and oscillation risk; among which, the distance-related penalty is used to control the balance between distance and regulation efficiency. The constraints of the medium-speed response layer are constructed based on the photovoltaic rated capacity and electrical distance limitations, and are used to limit the transmission of photovoltaic reactive power over long distances; The objective function of the slow response layer is constructed based on the global average voltage deviation, total line loss, device capacity, and distance-related penalty, and is used to calculate the global optimization strategy. The constraints of the slow response layer are constructed based on the peak load capacity and distance-related capacity, and are used to determine the compensation requirements for flexible interconnect devices to adapt to long-distance losses.

5. The voltage hierarchical optimization method for a multi-type regulating resource distribution network according to claim 1, characterized in that, Acquire real-time operating data of the distribution network, determine whether the real-time operating data has triggered preset conditions, and adjust the voltage according to the corresponding calling strategy of the hierarchical region corresponding to the node that triggered the preset conditions, including: Based on the real-time running data, a dataset for each node is constructed, and the hierarchical region is determined for each node's dataset to obtain the corresponding hierarchical region. The corresponding calling strategy is determined and the call is performed according to the hierarchical region corresponding to each node.

6. The voltage hierarchical optimization method for a multi-type regulating resource distribution network according to claim 5, characterized in that, Perform hierarchical region determination on the dataset of each node, including: Following the order of fast response layer, medium response layer, and slow response layer, the dataset is sequentially judged to determine whether it meets the combination conditions of one of the layers. If it does, it is marked as the corresponding layer region. The combination conditions include different judgment rules set for each layer region based on voltage loss threshold, load characteristics, time regulation characteristics, and distributed power source characteristics.

7. The voltage hierarchical optimization method for a multi-type regulating resource distribution network according to claim 6, characterized in that, Also includes: The fast response layer is set to have the highest priority, followed by the medium response layer, and the slow response layer has the lowest priority. Within a preset time range, the low-priority region call strategy corresponding to the preset conditions will be triggered again to replace the high-priority region call strategy.

8. A voltage hierarchical optimization system for a multi-type regulating resource distribution network, used to implement the voltage hierarchical optimization method for a multi-type regulating resource distribution network as described in any one of claims 1-7, characterized in that, The system includes: The partitioning module is used to determine the coverage of the distribution network based on the voltage loss threshold of each load. Then, load characteristics, time regulation characteristics, and distributed generation characteristics are used as constraints to divide the distribution network into different levels of regions, and different resource allocation strategies are adapted to different levels of regions. A construction module, connected to the partitioning module, is used to construct objective functions and constraints for the fast response layer, medium-speed response layer and slow response layer respectively, wherein the objective functions and constraints are constructed based on different characteristics of different layers; The adjustment module, connected to the division module, is used to acquire real-time operating data of the distribution network, determine whether the real-time operating data has triggered a preset condition, and adjust the voltage according to the corresponding calling strategy of the hierarchical area corresponding to the node that triggered the preset condition.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program; wherein the computer program is stored in the memory and configured to be executed by the processor to implement a voltage hierarchical optimization method for a multi-type regulating resource distribution network as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program; the computer program is executed by a processor to implement a voltage hierarchical optimization method for a multi-type regulating resource distribution network as described in any one of claims 1 to 7.

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