SOP export voltage control method in low-voltage distribution area flexible interconnection network

Abstract

The application discloses a SOP export voltage control method in a low-voltage power distribution area flexible interconnection network, taking the current SOP export voltage as an initial value, setting parameters of an ant colony algorithm, including the number of ants and the number of iterations, and performing path search by the ant colony based on the SOP and by using a spanning tree algorithm to generate a radial topology. Power flow calculation is performed on the radial topology, and power balance judgment and node voltage constraint verification are performed based on the power flow calculation result, so that power balance is ensured to meet and node voltage constraints are ensured to meet, to ensure stable operation of a power system. The ant colony algorithm is used to search and iterate a topology scheme, an optimal radial topology meeting constraint conditions and having optimal SOP export voltage is found through continuous iteration optimization, and the radial topology is taken as a final control result. The application can improve control precision and response speed of the SOP export voltage.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of power distribution networks, in particular to a SOP (Soft Open Point) outlet voltage control method in a low-voltage power distribution area flexible interconnection network. BACKGROUND

[0002] With the rapid development of the power industry and the deepening of the construction of smart grids, low-voltage power distribution area flexible interconnection technology has been widely applied and valued. The low-voltage power distribution area flexible interconnection technology aims to realize the flexible interconnection between low-voltage power distribution areas through advanced power electronic technology and communication technology, so as to improve the power supply reliability, improve the power quality, and optimize the resource allocation. However, in actual application, how to effectively control the SOP (Soft Open Point) outlet voltage to ensure the stable operation of the power system has become a problem to be solved. SUMMARY

[0003] The purpose of the present application is to provide a SOP outlet voltage control method in a low-voltage power distribution area flexible interconnection network, which can improve the control accuracy and response speed of the SOP outlet voltage.

[0004] The technical scheme provided by the present application is as follows:

[0005] In a first aspect, the present application provides a SOP outlet voltage control method in a low-voltage power distribution area flexible interconnection network, comprising the following steps:

[0006] Step 1, initialization setting:

[0007] The current SOP outlet voltage in the low-voltage power distribution area flexible interconnection is set as the initial value of the SOP outlet voltage, the parameters of the ant colony algorithm are set, including the number of ants and the number of iterations, and the initial value of the number of iterations is set as 1;

[0008] In this step, the current SOP outlet voltage is used as the initial value of the SOP outlet voltage. The initial value will be used as the basis for algorithm search and optimization.

[0009] Step 2, the ant colony searches the path based on the SOP using the spanning tree algorithm to generate a radial topology;

[0010] Step 3, performing power flow calculation on the current radial topology;

[0011] Step 4, judging whether the power flow calculation result meets the power balance constraint and the node voltage constraint;

[0012] If the power balance constraint is not satisfied, or the node voltage is lower than the lower voltage limit, the load supplied by the low-voltage distribution area flexible interconnected network is reduced, and the power flow calculation is restarted in step 3 until the power balance constraint is satisfied and the voltage of each node satisfies the node voltage constraint, the current radial topology is recorded, and step 5 is turned to; if the node voltage is higher than the upper voltage limit, the current radial topology is discarded, and step 5 is jumped to;

[0013] Step 5, topology scheme search and iteration:

[0014] It is judged whether the maximum iteration number is reached; if not, the pheromone is updated, and step 2 is returned to continue iteration; if yes, the SOP outlet voltage under the current radial topology is recorded as the final result.

[0015] The SOP outlet voltage under the current radial topology refers to the SOP outlet voltage obtained by performing power flow calculation on the current radial topology.

[0016] In a possible implementation manner, in step 4, the power balance constraint formula is:

[0017]

[0018] In the formula, P ij and Q ij are active power and reactive power flowing from node i to node j; Φ i is a set of path head nodes with node i as a terminal node; ψ i is a set of path terminal nodes with node i as a head node; U i is the voltage of node i; I ji is the current flowing from node j to node i; R ij and X ij are resistance and reactance of the path ij composed of nodes i and j; P i and Q i are the sum of active power and reactive power injected into node i; P DG,i and Q DG,i are active power and reactive power injected by a distributed generator (DG) into node i; P SOP,i and Q SOP,i are active power and reactive power injected by the SOP into any node i in the radial topology; P LOAD,i and Q LOAD,i are active power and reactive power consumed by the load of node i.

[0019] In a possible implementation manner, in the path search using the spanning tree algorithm by the ant colony in step 2, the transition probability formula is:

[0020]

[0021] wherein, P ij denotes the transition probability of the ant from node i to node j; allowed is the set of nodes adjacent to node i; denotes the pheromone concentration on path ij at time t, η ij denotes the heuristic factor on path ij, f ij denotes the newly introduced target factor value on path ij, used to reflect the performance of path ij on other targets beyond the targets considered by the pheromone concentration and the heuristic factor; α, β and γ are respectively the adjustment parameters of the importance of pheromone, the importance of heuristic factor and the importance of the newly introduced target factor.

[0022] In a possible implementation manner, the updating formula of the pheromone concentration is:

[0023]

[0024] wherein, denotes the pheromone concentration on path ij at time t+1; ρ(t) denotes the pheromone evaporation rate at time t; denotes the amount of pheromone left by the kth ant on path ij at time t.

[0025] In a possible implementation manner, the pheromone amount calculation formula of the path with high importance or high urgency is:

[0026]

[0027] wherein, δ ij (t) denotes the pheromone enhancement amount on path ij at time t, adjusted according to the importance or urgency of path ij.

[0028] In a possible implementation manner, the calculation formula of the pheromone concentration η ij is:

[0029]

[0030] wherein, d ij denotes the voltage drop from node i to node j, and ε(t) is an adjustment factor varying with time, reflecting the influence of environmental changes or historical data.

[0031] In a possible implementation manner, the calculation formula of the heuristic factor f ij is obtained by weighting the quantitative values of other targets.

[0032] In a second aspect, the present application provides an electronic device, comprising: a memory and a processor. ​

[0033] the memory, configured to store a computer program;

[0034] the processor, configured to invoke the computer program to execute the method as described above.

[0035] In a third aspect, the present application provides a computer readable storage medium, having a computer program stored therein, which, when running on an electronic device, causes the electronic device to implement the method as described above.

[0036] In a fourth aspect, the present application provides a computer program product, comprising a computer program, which, when running on an electronic device, causes the electronic device to implement the method as described above.

[0037] The specific implementation manners of the second to fourth aspects of the present application can refer to the implementation manners of the first aspect, which will not be described here.

[0038] Beneficial effects:

[0039] The present application provides a SOP export voltage control method in a low-voltage distribution area flexible interconnection network, and an embodiment of the present application provides a SOP export voltage control method in a low-voltage distribution area flexible interconnection network. The method utilizes the heuristic search characteristics and global optimization ability of the ant colony algorithm, and combines the spanning tree algorithm, to realize intelligent control of the SOP export voltage in the background of low-voltage distribution area flexible interconnection, improve the control precision and response speed of the SOP export voltage, and provide more reliable technical support for stable operation of the power system. DETAILED DESCRIPTION

[0040] In order for those skilled in the art to better understand the present application, the technical solutions of the present application will be described clearly and completely below in conjunction with the embodiments of the present application.

[0041] The present application provides a SOP export voltage control method in a low-voltage distribution area flexible interconnection network, and an embodiment of the present application provides a SOP export voltage control method in a low-voltage distribution area flexible interconnection network. The method utilizes the heuristic search characteristics and global optimization ability of the ant colony algorithm, and combines the spanning tree algorithm, to realize intelligent control of the SOP export voltage in the background of low-voltage distribution area flexible interconnection, improve the control precision and response speed of the SOP export voltage, and provide more reliable technical support for stable operation of the power system.

[0042] The embodiments of the present application will be further specifically and in detail described below.

[0043] The embodiment of the application provides a SOP export voltage control method in a low-voltage distribution area flexible interconnected network, which comprises the following steps:

[0044] Step 1, initialization setting:

[0045] The current SOP export voltage in the low-voltage distribution area flexible interconnected network is used as the initial value, the parameters of the ant colony algorithm are set, including the number of ants and the number of iterations, and the initial value of the number of iterations is set to 1;

[0046] Number of ants: The number of ants to be released in the distribution area flexible interconnected network is determined, which affects the size of the search space and the calculation complexity of the algorithm.

[0047] Number of iterations: The number of iterations of the algorithm is set to ensure that the algorithm has enough time to converge to a solution, while avoiding unnecessary long-time calculation.

[0048] Initial value of the number of iterations: The number of iterations is initialized to 1, indicating the first running of the algorithm.

[0049] In the initialization setting, the current SOP export voltage in the low-voltage distribution area flexible interconnected network is used as the initial value, and the parameters of the ant colony algorithm are reasonably set, such as the number of ants and the number of iterations, and the ant colony iteration is generated based on the SOP utilization spanning tree algorithm to generate a radial topology, which has the following advantages:

[0050] Improve search efficiency: By setting the number of ants, the size of the search space can be controlled, so as to balance the breadth and depth of the search. The appropriate number of ants can ensure that the search process neither over-expands to cause low efficiency, nor misses potential optimal solutions due to too few ants.

[0051] Ensure the convergence of the algorithm: The setting of the number of iterations ensures that the algorithm has enough time to find the optimal solution. Enough number of iterations can ensure that the algorithm explores the search space sufficiently, thereby increasing the possibility of finding the global optimal solution.

[0052] Reduce the calculation cost: Although increasing the number of iterations can improve the search performance of the algorithm, too many iterations will increase the calculation cost. Therefore, reasonable setting of the number of iterations can reduce unnecessary calculation overhead while ensuring the performance of the algorithm.

[0053] Adapt to dynamic changes: Using the current SOP export voltage as the initial value can make the algorithm more adaptive to the real-time state of the power distribution system. When the system state changes, the algorithm can start from the current state for searching, rather than starting from scratch, thereby speeding up the search and improving the adaptability of the solution.

[0054] Step 2, the ant colony based on SOP uses the spanning tree algorithm to search for paths and generates a radial topology;

[0055] Generating a suitable topology: the radial topology generated based on the spanning tree algorithm can ensure the stability and reliability of the power distribution system. The radial topology can reduce the propagation range of faults, improve the self-healing ability of the system, and simplify the fault location and isolation process.

[0056] Step 3, power flow calculation is performed on the current radial topology;

[0057] Step 4, determine whether the power flow calculation result meets the power balance constraint and the node voltage constraint;

[0058] If the power balance constraint is not met, or the node voltage is lower than the lower limit of the voltage, reduce the load supplied by the low-voltage distribution substation flexible interconnection network, and go back to step 3 to perform power flow calculation again until the power flow calculation result meets the power balance constraint and the voltage of each node meets the node voltage constraint, record the current radial topology, and go to step 5; if the node voltage is higher than the upper limit of the voltage, discard the current radial topology and jump to step 5;

[0059] In some embodiments, it is determined whether the power flow calculation result meets the following power balance constraint formula:

[0060]

[0061] In the formula, P ij and Q ij are the active power and reactive power flowing from node i to node j; Φ i is the set of path starting nodes with node i as the ending node; ψ i is the set of path ending nodes with node i as the starting node; U i is the voltage of node i; I ji is the current flowing from node j to node i; R ij and X ij are the resistance and reactance of the path ij composed of nodes i and j; P i and Q i are the sum of active power and reactive power injected at node i; P DG,i and Q DG,i are the active power and reactive power injected by the distributed generator (DG) at node i; P SOP,i and Q SOP,i are the active power and reactive power injected by the SOP into any node i in the radial topology; P LOAD,i and Q LOAD,i are the active power and reactive power consumed by the load at node i.

[0062] The above power balance constraint formula provided by the present application considers the impact of resistance and reactance on active and reactive power transmission, and clearly distinguishes the power of SOP and DG injection nodes and the power flowing from the nodes to other nodes. The power balance constraint formula is suitable for radial topology, and through simplified steps, it adapts to the structure of radial power grid, reducing the complexity of calculation.

[0063] If not, reduce the load supplied by the low-voltage distribution area flexible interconnected network and perform power flow calculation again until the power balance constraint is satisfied, achieving power balance.

[0064] Due to the failure to meet the power balance constraint, it indicates that the following situations may occur:

[0065] Voltage instability: The voltage of some nodes in the power grid may exceed the safe operating range, causing unstable operation or damage to equipment.

[0066] Overload: Some lines or transformers may bear more power than their rated capacity, posing an overload risk.

[0067] Power imbalance: The mismatch between power generation and load may cause frequency deviation or voltage instability.

[0068] Reducing the load supplied by the low-voltage distribution area flexible interconnected network, such as connecting the original load supplied by the low-voltage distribution area flexible interconnected network to other backup power supply. Of course, in addition to this way, other ways can also be used to achieve load reduction:

[0069] (1) Control non-critical loads through remote control or automatic demand response (ADR) systems to reduce their power consumption.

[0070] (2) Use distributed energy sources (such as solar and wind energy) to meet part of the load and reduce dependence on the main power grid.

[0071] (3) Change the topology of the power grid, such as adding or removing some lines, to redistribute the load.

[0072] (4) Increase power generation as much as possible to meet the load demand.

[0073] (5) Use energy storage systems (such as batteries) to store energy during low-load periods and release energy during high-load periods to balance the power grid load.

[0074] In the low-voltage distribution area flexible interconnected network, the radial topology is subjected to power flow calculation and load adjustment to achieve power balance, which has the following technical benefits:

[0075] Improving grid stability: By ensuring that power balance constraints are met, potential issues such as voltage instability and overloading can be avoided, enhancing the stability and reliability of the grid. This helps prevent equipment damage and grid collapse, ensuring continuity and safety of power supply.

[0076] Optimizing resource allocation: When power imbalance is detected, resources can be optimized and utilized by reducing loads powered by the low-voltage distribution area flexible interconnected network or taking other measures to balance power. This not only reduces energy waste but also improves the efficiency of grid operation.

[0077] Enhancing flexibility: The proposed multiple load reduction strategies (such as remote control, automatic demand response, distributed energy utilization, grid topology changes, and energy storage system applications) provide greater flexibility for the system. These strategies can be selected and adjusted according to actual conditions and needs to adapt to different grid operation scenarios and conditions.

[0078] Reducing operating costs: By precisely controlling loads and power output, operating costs of the grid can be reduced. For example, through the application of energy storage systems, energy can be stored during low-price periods and released during high-price periods, thereby reducing electricity purchase costs. At the same time, reducing equipment damage and maintenance requirements can also reduce maintenance costs.

[0079] Node voltage constraint verification:

[0080] The voltage constraint of each node in the low-voltage distribution area flexible interconnected network is verified. If the node voltage is lower than the lower voltage limit, continue to reduce the load powered by the low-voltage distribution area flexible interconnected network.

[0081] Node voltage constraint ensures that the voltage of each node in the low-voltage distribution area flexible interconnected network is maintained within a safe range, preventing voltage collapse or equipment damage. The explanation is as follows:

[0082] Preventing voltage collapse:

[0083] In a power system, if the voltage of a certain node is too low, it may cause the node and its connected equipment to malfunction, and in severe cases, even cause voltage collapse, affecting the stability of the entire system.

[0084] Protecting equipment:

[0085] Long-term operation in a voltage unstable environment may cause damage to power equipment, shorten its service life, and increase maintenance and replacement costs.

[0086] Ensuring power supply quality:

[0087] The stability of voltage directly affects the quality of power supply. Verifying node voltage constraints can ensure that users receive stable and reliable power supply.

[0088] Meet operational standards:

[0089] Power systems usually have strict operational standards, including voltage range and fluctuation limits. Checking node voltage constraints is an important measure to ensure that the system meets these standards.

[0090] Node voltage constraints can be given in the form of:

[0091] (1) The constraint range of node voltage is usually defined by the minimum and maximum values of voltage, such as ±10% of the rated voltage.

[0092] (2) Voltage constraints can be given in the form of voltage deviation, that is, the percentage of deviation from the rated voltage.

[0093] If the node voltage is higher than the upper limit of the voltage, the topology scheme is discarded at the current SOP exit voltage, and the topology scheme search and iteration are restarted.

[0094] Reducing the load supplied by the low-voltage distribution area flexible interconnected network, such as connecting the original load supplied by the low-voltage distribution area flexible interconnected network to other backup power supply. Of course, in addition to this way, there are other ways to achieve load reduction:

[0095] (1) Control non-critical loads through remote control or automatic demand response (ADR) systems to reduce their power consumption.

[0096] (2) Use distributed energy sources (such as solar and wind energy) to meet part of the load and reduce dependence on the main power grid.

[0097] (3) Change the topology of the power grid, such as adding or removing some lines, to redistribute the load.

[0098] (4) Increase power generation as much as possible to meet the load demand.

[0099] (5) Use energy storage systems (such as batteries) to store energy during low-load periods and release energy during high-load periods to balance the grid load.

[0100] Node voltage constraint checking is a key link to ensure the stable operation of the low-voltage distribution area flexible interconnected network. By checking the node voltage constraints and taking necessary load reduction measures, the following technical benefits can be brought:

[0101] Enhance system stability: Checking node voltage constraints can ensure that the voltage of each node is maintained within a safe range, effectively preventing voltage collapse or equipment damage, thereby greatly enhancing the stability of the entire system.

[0102] Optimized load distribution: When the node voltage is below the lower voltage limit, the load supplied by the low-voltage distribution substation flexible interconnection network can be reduced to optimize the load distribution, so that the system can more reasonably allocate power resources and improve power supply efficiency.

[0103] Reduced risk of failure: Timely load reduction can prevent equipment failure caused by excessively low voltage, reduce power outages and maintenance costs caused by failure, and improve the reliability and availability of power supply.

[0104] Support for multiple load shedding strategies: In addition to connecting the load to other backup power sources, remote control, automatic demand response, distributed energy utilization, grid topology changes, and energy storage system applications are also supported. These strategies can be flexibly selected according to actual conditions and needs, improving the flexibility and adaptability of the system.

[0105] Step 5, topology scheme search and iteration:

[0106] Determine whether the maximum number of iterations has been reached; if not, update the pheromone and return to step 2 to continue iteration; if so, record the current SOP outlet voltage under the radial topology as the final result.

[0107] Where the current SOP outlet voltage under the radial topology refers to the SOP outlet voltage obtained by performing power flow calculation on the current radial topology.

[0108] Each iteration updates the pheromone based on the results of the previous iteration and algorithm rules, guiding ants to preferentially select paths with higher quality (such as low loss, low cost, and high stability) in subsequent searches.

[0109] The above spanning tree algorithm is used to generate a radial topology structure, ensuring that there are no loops in the network and improving the stability and reliability of the system.

[0110] In the ant colony algorithm, spanning tree algorithms such as Prim's algorithm or Kruskal's algorithm can be used to assist in constructing the radial topology. When ants search for paths, they will follow the spanning tree algorithm to ensure that the final generated topology structure is radial.

[0111] The ant colony algorithm searches for the optimal path by simulating the behavior of ants searching for food. Using the ant colony algorithm, the pheromone concentration on each path of the low-voltage distribution area flexible interconnected network is initialized from any node of the low-voltage distribution area flexible interconnected network, the pheromone represents the attractiveness of the path, the ants are randomly placed on part of the nodes of the network, each ant represents a potential path searcher, and a minimum spanning tree is gradually constructed until all nodes are covered. Each ant selects the next node to visit according to the transition probability. The ants move in the network and gradually build a path from the starting point to the end point, i.e. a radial topology. During the search process, the ants continuously update the pheromone concentration to reflect the advantages and disadvantages of different paths. Finally, through multiple iterations, the ant colony algorithm converges to an optimal or approximately optimal topology structure.

[0112] The concepts of node (Node), edge, distance, cost, and SOP in the low-voltage distribution area flexible interconnected network are described below.

[0113] Node (Node):

[0114] In the low-voltage distribution area flexible interconnected network, a node represents a connection point in the power grid, which can be a substation, a distribution transformer, a user access point, etc.

[0115] In the ant colony algorithm, a node is a possible stopping point for ants searching for a path.

[0116] Edge (Edge):

[0117] In the low-voltage distribution area flexible interconnected network, an edge represents a power transmission line or power channel connecting two nodes, also referred to as a path in this application.

[0118] In the ant colony algorithm, an edge is the path that an ant moves from one node to another node.

[0119] Distance (Distance):

[0120] In the power grid, distance usually refers to the physical length or electrical distance of the transmission line between two nodes.

[0121] Cost (Cost):

[0122] Cost can include line loss, equipment investment, etc. and is used to measure the advantages and disadvantages of a certain topology or path.

[0123] In the ant colony algorithm, cost can be an important consideration when selecting a path, reflecting the economic and efficiency of the path, and the cost difference of different paths is reflected by dynamically adjusting the pheromone concentration.

[0124] SOP (Soft Open Point):

[0125] SOP is an intelligent operation point in the low-voltage distribution area flexible interconnection network, with functions such as adjusting power flow and controlling voltage.

[0126] During optimization, the position and state (e.g., on or off) of SOPs affect the power flow distribution and voltage level of the entire network.

[0127] In each iteration, the export voltage of SOPs is calculated and verified based on the current topology.

[0128] If voltage constraints or other constraints (such as power balance constraints, node voltage constraints, etc.) are not met, the topology needs to be adjusted.

[0129] When adjusting the topology, the state of SOPs (e.g., on or off) can be changed to affect the power flow distribution and voltage level, so as to find the optimal topology that meets all constraints.

[0130] In summary, by combining the spanning tree algorithm, ant colony algorithm, and low-voltage distribution area flexible interconnection network, SOP, intelligent control of SOP export voltage can be achieved, improving the stability and reliability of the power system.

[0131] Specific implementation process:

[0132] Initialization: Initialize pheromone concentration on each path in the distribution area flexible interconnection network.

[0133] This is equivalent to providing an initial attractiveness distribution for ant path search.

[0134] The initial value of pheromone concentration can be set according to factors such as path cost to reflect the initial advantages and disadvantages of different paths. The higher the pheromone concentration, the better the path (e.g., low cost).

[0135] Place ants: Randomly place ants on some nodes in the network, with each ant representing a potential path searcher.

[0136] Build minimum spanning tree: Gradually build a minimum spanning tree until all nodes are covered. Use Prim's algorithm or Kruskal's algorithm to assist the construction process.

[0137] Path search: Each ant selects the next node to visit based on the transition probability, constructing a path from the starting point to the end point, i.e., a radial topology.

[0138] Pheromone update: Dynamically update the pheromone concentration based on the quality of the path traversed by the ant.

[0139] Iterative optimization: Repeat the above process until the stopping condition is met, and finally obtain the optimal radial topology structure.

[0140] The important parameters are described as follows:

[0141] (1) Dynamic pheromone update

[0142] formula:

[0143]

[0144] represents the pheromone concentration on path ij at time t.

[0145] represents the pheromone concentration on path ij at time t+1, and represents the updated value of the pheromone concentration.

[0146] ρ(t) represents the pheromone evaporation rate at time t, a parameter that can vary with time t and is used to control the decay rate of the pheromone. The pheromone evaporation rate can represent dynamic changes in power grid operation, such as load changes, which can cause certain paths to become less attractive.

[0147] It represents the amount of pheromone left by the kth ant on the path ij at time t, reflecting the quality of the path.

[0148] The above formula describes the dynamic update process of pheromones. Pheromones not only decrease due to evaporation but also increase due to ant movement. The dynamically adjusted evaporation rate ρ(t) allows the algorithm to adjust the degree of pheromone retention in real time based on network status, thereby improving the algorithm's adaptability and flexibility.

[0149] (2) Pheromone enhancement mechanism

[0150] formula:

[0151] δ ij (t) represents the pheromone enhancement amount on path ij at time t, which is adjusted according to the importance or urgency of path ij.

[0152] The pheromone enhancement mechanism works by adding an extra pheromone delta to important or urgent pathways. ij (t), the enhanced pheromone amount will be substituted into the pheromone update formula to calculate the updated pheromone concentration, and then substituted into the transfer probability and calculation formula to give priority to important or urgent paths, speed up the search and optimization of these paths, and improve the response speed and efficiency of the algorithm when processing key tasks.

[0153] The importance or urgency of a path can be determined by:

[0154] 2.1) Power system stability requirements

[0155] Voltage Stability: The stability of voltage along a path is a direct indicator of its importance. If a path involves poor voltage stability, easily fluctuating or exceeding safe ranges, then the path is of higher importance.

[0156] Power Flow: The stability and balance of power flow along a path is also a key factor. If a path carries a significant amount of power flow and is crucial for power balance in the grid, then its urgency and importance are higher.

[0157] 2.2) Load Priority

[0158] Critical Loads: Paths that supply critical facilities such as hospitals, data centers, etc., naturally have higher importance as any power interruption can lead to severe consequences.

[0159] Load Density: Certain areas may be high load areas due to high residential or commercial density. Supply paths to these areas usually have higher importance.

[0160] 2.3) Network Topology

[0161] Topological Criticality: In network topology, certain paths may be particularly important due to connecting critical nodes or serving as primary power supply channels.

[0162] Redundant Paths: As backup or redundant paths, although they may not be optimal under normal circumstances, their importance increases dramatically when the primary path has issues.

[0163] 2.4) Historical Operational Data

[0164] Fault Frequency: Paths that have historically experienced frequent faults or issues may be marked as high urgency as they may require priority maintenance or optimization.

[0165] Load Change Trends: By analyzing historical load data and trends, it is possible to predict which paths may become more important or urgent in the future.

[0166] 2.5) Real-Time Monitoring and Analysis

[0167] Real-Time Monitoring: Through real-time monitoring systems, it is possible to dynamically identify which paths are currently urgent due to voltage, frequency, etc. issues.

[0168] Predictive Analysis: Using predictive models to analyze the operational state of the grid, it is possible to identify paths that may have issues ahead of time, thus improving their urgency rating.

[0169] 2.6) Environmental and External Factors

[0170] Weather Impact: Extreme weather conditions can affect the operation of the power grid, increasing the stability and importance of certain paths.

[0171] Emergency: Events such as natural disasters or other emergencies can cause the importance and urgency of certain paths to increase rapidly.

[0172] In the ant colony algorithm, the above factors can be converted into parameters in the algorithm in the following ways:

[0173] According to the above factors, score each path.

[0174] Convert the score to pheromone enhancement value, the higher the importance and urgency of the path, the larger the pheromone enhancement value δ ij (t) of the path, thereby affecting the path selection and optimization process of the ants.

[0175] In this way, the ant colony algorithm can more intelligently identify and manage the key paths in the power grid, improving the overall performance and reliability of the power grid.

[0176] (3) Adaptive heuristic information

[0177] Formula:

[0178]

[0179] η ij represents the heuristic factor on path ij, d ij represents the voltage drop from node i to node j, and ε(t) represents the adjustment factor that changes over time, reflecting the influence of environmental changes or historical data.

[0180] The heuristic information is calculated according to the voltage drop between nodes and the dynamic adjustment factor, so that the algorithm can dynamically adjust the search strategy according to environmental changes and historical experience, improving the efficiency and robustness of the algorithm.

[0181] (4) Newly introduced target factor.

[0182] The newly introduced target factor value f ij on path ij is used to reflect the performance of path ij on other targets other than the targets considered by pheromone concentration and heuristic factor;

[0183] f ij The value of can be determined in the following ways:

[0184] Define the target: First, we need to clarify what other targets are optimized, for example, it can include reliability, time, stability, etc.

[0185] Quantification: Quantify these objectives into computable indicators. For example, reliability can be quantified as the inverse of the path failure rate, time can be quantified as the transmission delay of the path, stability can be quantified as the voltage stability of the path, etc.

[0186] Weight assignment: Assign weights to each objective according to the importance of the optimization objective. The weight can be determined by expert experience, historical data or the optimization algorithm itself.

[0187] Calculate the target factor value: Calculate the target factor value f ij of each path according to the quantified indicators and assigned weights. ij For example, if the reliability, time and stability of the path are represented by R ij , T ij and S ij respectively, then f ij can be represented as the weighted sum or comprehensive score of these indicators.

[0188] (5) Multi-objective optimization

[0189] Formula:

[0190]

[0191] P ij represents the transition probability of the ant from node i to node j.

[0192] α, β and γ are the adjustment parameters of pheromone importance, heuristic factor importance and newly introduced target factor importance respectively.

[0193] The above formula adopts multi-objective optimization, which determines the transition probability of the ant by combining pheromone concentration, heuristic information and new target factor. Multi-objective optimization allows the algorithm to consider multiple performance indicators such as cost, time and reliability at the same time, thus providing a more comprehensive and balanced optimization solution.

[0194] Ant colony algorithm optimizes power flow distribution by constantly adjusting network topology. For example, by increasing or decreasing some lines, the path of power flow can be changed, thereby affecting the node voltage and SOP export voltage to meet the constraints and objectives of power system operation. With the iteration and convergence of the algorithm, the SOP export voltage will gradually stabilize at an optimal or near-optimal value.

[0195] The embodiments of the present application have the following advantages in adopting ant colony algorithm for topology scheme search and iteration:

[0196] Global optimization capability: Ant colony algorithm has strong global search capability, which can consider all possible topological structures in power distribution network, not just local optimal solution, which helps to find more efficient and stable radial topology to meet the constraints of SOP export voltage and node voltage.

[0197] Adaptability: The pheromone update mechanism in ant colony algorithm enables the algorithm to adaptively adjust the search direction, selecting the next search path based on historical search experience (i.e. pheromone concentration) and heuristic information (such as voltage drop). This adaptability enables the algorithm to more intelligently search for optimal solutions.

[0198] Robustness: Ant colony algorithm is not sensitive to initial conditions, and can gradually converge to the optimal solution through iteration even in poor initial conditions. In addition, the algorithm has strong robustness to changes in network structure and can flexibly respond to changes in network topology.

[0199] Flexibility: Ant colony algorithm can be combined with various heuristic algorithms such as Prim algorithm or Kruskal algorithm to construct a minimum spanning tree. This flexibility allows the algorithm to be adjusted and optimized according to different application scenarios and requirements.

[0200] Optimizing power flow distribution: By continuously adjusting the network topology structure through ant colony algorithm, the power flow distribution can be optimized to make power flow more reasonable and efficient, helping to reduce network loss, improve power supply quality, and enhance system stability.

[0201] Easy to extend and integrate: As a general optimization algorithm, ant colony algorithm can be easily integrated and extended with other power system optimization algorithms or software platforms, making the algorithm more widely applicable and more scalable in practical applications.

[0202] Visualization and decision support: The radial topology structure obtained by ant colony algorithm can provide intuitive decision support for power system planning and operation personnel. At the same time, the visualization interface of the algorithm can display the search process and results, facilitating personnel understanding and analysis.

[0203] The embodiment of the application also provides an electronic device, comprising: a memory and a processor;

[0204] The memory is configured to store a computer program.

[0205] The processor is configured to call the computer program to execute the method as described above.

[0206] The embodiment of the present application further provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program enables an electronic device to implement the method when the computer program is run on the electronic device.

[0207] The embodiment of the present application further provides a computer program product, comprising a computer program, and the computer program enables an electronic device to implement the method when the computer program is run on the electronic device.

[0208] The embodiment of the present application further provides a specific implementation manner of an electronic device, a computer readable storage medium and a computer program product, which can refer to the specific embodiments of the above method, and details are not described herein.

[0209] Obviously, those skilled in the art should understand that each unit or each step of the above-mentioned application can be realized by using a general computing device, and they can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Alternatively, they can be realized by using program codes executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be respectively manufactured into each integrated circuit module, or multiple modules or steps among them can be manufactured into a single integrated circuit module to realize them. Thus, the present application is not limited to any specific combination of hardware and software.

[0210] The above description of the embodiments of the present application is only some embodiments of the present application, which is used to enable or use the content of the present application, and is not used to limit the present application. Those skilled in the art can make various changes and modifications to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for SOP export voltage control in a low-voltage distribution area flexible interconnection network, characterized in that, Comprise: Step 1, initialization setting: With the current SOP export voltage in low-voltage distribution area flexible interconnection as the initial value of the SOP export voltage, the parameters of the ant colony algorithm are set, including the number of ants and the number of iterations, and the initial value of the number of iterations is set to 1; Step 2, the ant colony is based on SOP, and the path search is carried out by using the spanning tree algorithm to generate a radial topology; wherein, in the path search of the ant colony by using the spanning tree algorithm, the transition probability formula is: ； wherein denotes the transition probability of an ant from node to node ; is the set of nodes adjacent to node ; denotes the pheromone concentration on the path at time instant , denotes the heuristic factor on the path , denotes the newly introduced objective factor value on the path , which is used to reflect the performance of the path on other objectives beyond those considered by the pheromone concentration and the heuristic factor; , and are the tuning parameters for the pheromone importance, the heuristic factor importance and the newly introduced objective factor importance, respectively. described The update formula is: ;in, express Time Path Pheromone concentration on; express Pheromone evaporation rate at each moment; Indicates the Ants in time On the path The amount of pheromone left on the important or urgent path is enhanced by the pheromone enhancement mechanism, that is, the amount of pheromone corresponding to the important or urgent path is equal to the original pheromone amount plus , express Time Path The amount of pheromone enhancement on the path Adjust the importance or urgency of Step 3, power flow calculation is carried out on the current radial topology; Step 4, judge whether the power flow calculation result meets the power balance constraint and the node voltage constraint; If the power balance constraint is not met, or the node voltage is lower than the lower limit of the voltage, the load supplied by the low-voltage distribution area flexible interconnection network is reduced, and step 3 is returned to carry out power flow calculation again until the power flow calculation result meets the power balance constraint and the voltage of each node meets the node voltage constraint, the current radial topology is recorded, and step 5 is returned; if the node voltage is higher than the upper limit of the voltage, the current radial topology is discarded, and step 5 is returned; Step 5, topology scheme search and iteration: Judge whether the maximum number of iterations is reached; if not, update the pheromone and return to step 2 for iteration; if so, record the SOP export voltage under the current radial topology as the final result.

2. The method of claim 1, wherein, In the step 4, the power balance constraint formula is: ； wherein, and are the active power and the reactive power injected into the node ; are the active power and the reactive power flowing from the node ; is the set of path head nodes with the node as the tail node; is the set of path tail nodes with the node as the head node; is the voltage of the node ; is the current flowing into the node ; and are the resistance and the reactance of the path consisting of the nodes ; and are the active power and the reactive power injected into the node ; are the active power and the reactive power injected into the node ; are the active power and the reactive power injected into the node ; and are the active power and the reactive power injected into any node in the radial topology by the SOP; and are the active power and the reactive power consumed by the load in the node .

3. The method of claim 1, wherein, The The calculation formula is: ； wherein, representing a node to a node voltage drop, the table is an adjustment factor over time, reflecting the influence of environmental changes or historical data.

4. The method of claim 1, wherein, The is calculated by weighting the quantized values of a plurality of other targets.

5. An electronic device, comprising: Comprise: Memory and processor; The memory is used to store computer programs; The processor is used to call the computer program to execute the method in any one of claims 1 to 4.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program runs on an electronic device to make the electronic device realize the method in any one of claims 1 to 4.

7. A computer program product comprising a computer program, characterized in that, The computer program runs on an electronic device to make the electronic device realize the method in any one of claims 1 to 4.

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