Small power interconnection method based on network spare power automatic throw-over topology power loss

Abstract

This invention discloses a method for the coordinated switching of small power sources in the event of a power outage based on a network backup self-transfer topology. This invention relates to the field of power technology and aims to quickly locate the power outage area and optimize the coordinated switching operation of small power sources by real-time monitoring of the state vectors of nodes in the power grid topology network. The method involves acquiring several topologies in the circuit network, identifying the outage and normal topologies through state vector analysis, determining the outage area in the outage topology network, statistically analyzing the small power source capacity and remaining load within the area, calculating the power gap to lock the coordinated switching capacity, and executing the coordinated switching operation. If the power gap exceeds the total capacity of the small power sources, all small power sources are disconnected and manual intervention is notified; otherwise, only some are disconnected or no disconnection is required. The method continuously monitors changes in node state vectors and dynamically adjusts the coordinated switching capacity of small power sources to ensure stable operation of the power grid.

Description

Technical Field

[0001] This invention belongs to the field of power technology, specifically, it relates to a method for switching small power sources in the event of a power outage based on a network backup automatic transfer topology. Background Technology

[0002] With the continuous expansion of the power system and the widespread application of distributed energy, the power grid structure is becoming increasingly complex, which places higher demands on the reliability and stability of power supply.

[0003] Traditional power grid management methods often rely on manual intervention or simple automated control when facing local faults or power outages, making it difficult to quickly and accurately locate the fault and take effective countermeasures. Especially with the widespread integration of distributed energy resources, effectively managing and optimizing the output of these small power sources to maintain the stable operation of the power grid has become a major challenge. Although existing power grid monitoring systems can monitor electrical parameters such as voltage and current in the power grid in real time, they still have shortcomings in dealing with power outages caused by changes in the power grid topology. For example, in the event of a local power outage, existing technologies cannot quickly identify the outage area and it is difficult to determine the optimal small power source switching strategy to balance load demand and generation capacity. Based on the above, this invention proposes a small power source switching method based on network backup self-transfer topology power outage. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method for switching small power sources in the event of a power outage based on a network backup self-transfer topology. This method solves the problems of existing technologies being unable to quickly identify the power outage area and having difficulty determining the optimal small power source switching strategy to balance load demand and power generation capacity.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] The method for small power supply disconnection based on the power failure of the network backup self-transfer topology includes the following steps:

[0007] Step 1: Obtain several topologies in the current circuit network and monitor the state vectors of several nodes in any topology in real time. Based on the state vectors, identify the power-off topology and the normal topology.

[0008] Continuous monitoring of normal network topology;

[0009] Further processing of the power-depleted topology network is required;

[0010] Step 2: Based on the determined power failure topology network, further determine the power failure areas in the power failure topology network, count the small power sources and their capacities in the power failure areas, and combine them with the remaining load in the power failure topology network to further lock the small power source disconnection capacity and perform disconnection operations.

[0011] Step 3: Continuously monitor the state vectors of several nodes in the power outage topology network, and adjust the connection and disconnection of small power sources based on the changes in the state vectors of the nodes.

[0012] As a further aspect of the present invention, the state vector mentioned in step Step 1 is the electrical parameters of the node, including: voltage, current, frequency, and phase;

[0013] The state vector is: y(t) = [y1(t), y2(t), ..., y n (t)];

[0014] Where y(t) represents the state vector of a node at time t, y1(t), y2(t), ..., y n (t) represents the electrical parameters in the state vector y(t), n is the counting index, representing the total number of electrical parameters, y m (t) represents y1(t), y2(t), ..., y n Any one of (t), and the value of m starts from 1 and does not exceed n.

[0015] As a further aspect of the present invention, in step Step 1, the specific method for locking the power-depleted topology network and the normal topology network based on the state vector is as follows:

[0016] Let j denote the total number of topologies in the circuit network, and represent them sequentially as A1, A2, ..., A j ;

[0017] Extract A1, A2, ..., A j Any topology network A in i , where i is the counting index, which starts from 1 and does not exceed j;

[0018] Obtain the monitoring period T preset by the operator, extend the monitoring period T into the future starting from the current time, and record this time point as t1;

[0019] When t1 is determined, A i Several nodes in, and A i The current flows in the circuit are sorted and labeled B1, B2, ..., B o ;

[0020] Where o represents A i The total number of nodes in B u For A i Any one of the o nodes in the array, where o and u are both counting indices, starting from 1, and u does not exceed o;

[0021] Extract B uThe state vector at time t1 is denoted as y(t1) = [y1(t1), y2(t1), ..., y n (t1)];

[0022] Extract B from cloud data u Several state vectors were measured at several past time points when the system was in normal working condition, and B was obtained by fitting these vectors. u The normal state vector curve S.

[0023] As a further aspect of the present invention, the specific method of locking the power-depleted topology network and the normal topology network based on state vector also includes:

[0024] Using t1 as the base time, continuously acquire k time points and B. u For the state vectors corresponding to k time points, fit the k state vectors into k state vector curves, and verify them with the normal state vector curve S respectively.

[0025] If the verification passes, then consider B. u The system is operating normally.

[0026] If the verification fails, then consider B. u The operating status is abnormal;

[0027] Among them, k time points include time point t1;

[0028] Process B1, B2, ..., B using the method described above. o Except for node B u Find the o-1 nodes other than the ones in the normal state, and count the number of nodes in the normal state, bc. If bc = 0, mark A. i This is a normal topology network;

[0029] Conversely, mark A. i This is a power-off topology network;

[0030] According to the processing topology network A i The method to process A1, A2, ..., A j Except for A i The j-1 node topology networks, excluding the normal topology network and the power-off topology network, are locked.

[0031] As a further aspect of the present invention, the specific method for fitting k state vectors into a k state vector curve and verifying it with the normal state vector curve S is as follows:

[0032] Based on the determined node B u From several state vectors measured at past time points while the system was in normal working condition, extract any one time point t. 任The corresponding state vector, denoted as y(t) 任 )=[y1(t 任 ),y2(t 任 ),...,y n (t 任 )];

[0033] For y(t) 任 The n electrical parameters y1(t) in ) 任 ),y2(t 任 ),...,y n (t 任 Normalization is performed, and the results are denoted as y1(t). 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 The normalized state vector y(t) is obtained. 任 ) 归 =y1(t 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 ;

[0034] A two-dimensional coordinate system is constructed with electrical parameters as the horizontal axis and the normalized values ​​of the electrical parameters as the vertical axis. The coordinates y(t) are then plotted. 任 ) 归 Based on the electrical parameters and their normalized values, they are labeled in the constructed two-dimensional coordinate system and fitted to a time point t. 任 Node B u State vector curve diagram;

[0035] Repeat the above steps for the remaining node B. u The state vector measured during normal operation is processed in the same way, resulting in several nodes B. u State vector curve diagram under normal operating conditions;

[0036] For the determined number of nodes B u The state vector curve of the normal working state is further fitted to obtain node B. u Normal state vector curve S;

[0037] Following the steps above, we obtain B. u The state vector curve associated with t1 Will Plot the coordinates of S in the two-dimensional coordinate system, and plot the two lines that pass through the first electrical parameter y1 and the last electrical parameter y2 respectively. n And the straight lines perpendicular to the horizontal axis: L1, L2;

[0038] Statistics L1, L2, S is the sum of the areas of one or more enclosed regions, denoted as S.

[0039] Obtain the closed area threshold AR preset by the operator. 阈 and will with AR 阈 Perform a comparison;

[0040] like View B u The running state at time point t1 is abnormal;

[0041] like View B u The system is in a normal operating state at time point t1.

[0042] As a further aspect of the present invention, the specific method for fitting k state vectors into a k state vector curve and verifying it with the normal state vector curve S further includes the following:

[0043] Using time point t1 as the base time, continuously acquire k time points including t1 and node B. u The state vectors corresponding to k time points;

[0044] The state vector curve is obtained by processing the state vector associated with t1. The method is to process the remaining k-1 state vectors, fit the k-1 state vector curves, plot them in the two-dimensional coordinate system where the normal state vector curve S is located, and calculate the area of ​​the closed region formed by them. Together with the area of ​​the closed region associated with t1, there are a total of k closed region areas.

[0045] If among the areas of k closed regions, there are p consecutive closed regions whose areas are all greater than or equal to AR. 阈 If the value is not specified, the verification is considered to have failed; otherwise, the verification is considered to have passed. Here, p is a value preset by the operator.

[0046] As a further aspect of the present invention, in step Step 2, the specific method for further locking the small power supply disconnection capacity in conjunction with the remaining load in the power-out topology network is as follows:

[0047] Obtain all power-depleted topologies in the circuit network, and extract any one power-depleted topology A. i and A i Abnormal state nodes in;

[0048] Extract all H small power sources that supply power to nodes in abnormal states, and categorize them according to their location in node A. i The current flows in the circuit are sorted and denoted as: D1, D2, ..., D H D G Let D1, D2, ..., D H For any one of them, G and H are counting indices, starting from 1, and G≤H;

[0049] Statistical analysis of D1, D2, ..., D H The sum of the maximum capacities is denoted as P;

[0050] Statistics A i The remaining loads F1 and A in i The required power F2 before the power loss is calculated using F2-F1=F3 to obtain A. i The associated power gap F3;

[0051] If F3>P, lock the small power supply disconnection capacity to P, disconnect all small power supplies supplying power to nodes in abnormal state, and notify the operator that intervention is required.

[0052] If F3≤P, the minimum power supply switching capacity is locked at F3.

[0053] As a further aspect of the present invention, in step Step 3, the specific method for regulating the connection and disconnection of the small power supply based on the change of the node's state vector is as follows:

[0054] Real-time monitoring A i If the state of a node changes, F3 is recalculated and the connection capacity is redefined.

[0055] If F3 is a positive number, it means that A needs to be modified. i The small power supply that powers the abnormal node in the process is switched off, with a switching capacity of F3.

[0056] If F3 is negative, it means that the previously disconnected small power source needs to be reconnected to the de-energized topology network A. i The capacity of the connected small power supply is |F3|.

[0057] The beneficial effects of this invention are:

[0058] (1) This invention provides a method for comprehensively monitoring the node status in a topological network through state vectors. By continuously acquiring state vectors at multiple time points and fitting curves, the operating characteristics of nodes can be captured more comprehensively, the operating status of nodes can be dynamically evaluated from multiple dimensions, and the normal topological network and the power failure topological network can be further accurately distinguished based on the state analysis results of the nodes.

[0059] (2) This invention provides a method for accurately distinguishing and optimizing the management of normal and power failure topologies in a power grid. By normalizing the state vectors of nodes when they are in normal working state at several past time points, a two-dimensional coordinate system is constructed to represent each electrical parameter and its normalized value. This not only eliminates the dimensional differences between different electrical parameters, but also more intuitively displays the changing trends of each parameter. The state vectors are fitted into state vector curves, and then further fitted into normal state vector curves. This not only focuses on data at a single time point, but also considers historical behavior patterns, thereby improving the sensitivity and accuracy of fault detection.

[0060] (3) This invention continuously acquires the state vectors at k time points and fits them into k state vector curves for comprehensive evaluation. It calculates the area of ​​the closed region formed between these curves and the normal state vector curve S, and compares it with the closed region area threshold preset by the operator. This can more accurately determine whether the node's operating status is abnormal at a specific time point. In particular, when the area of ​​p consecutive closed regions is greater than or equal to the preset threshold, the verification is deemed to fail. This continuous detection mechanism effectively avoids the risk of misjudgment caused by data fluctuations at a single time point and improves the reliability of the system.

[0061] (4) This invention provides a dynamic feedback mechanism that can monitor changes in node status in real time and recalculate the power gap and adjust the tripping capacity of small power sources based on the latest data. When an abnormal node recovers to normal or a previously normal node becomes abnormal, the system will reassess the power gap and adjust the tripping strategy of small power sources accordingly. This dynamic control mechanism ensures that the power grid can maintain efficient and stable operation in the face of complex and ever-changing operating environments, greatly enhancing the system's self-healing ability and its ability to cope with sudden faults. Attached Figure Description

[0062] The invention will now be further described with reference to the accompanying drawings.

[0063] Figure 1 This is a flowchart illustrating the method described in this invention;

[0064] Figure 2 This is a flowchart illustrating the method described in Embodiment 2 of the present invention;

[0065] Figure 3 This is a flowchart illustrating the method described in Embodiment 3 of the present invention;

[0066] Figure 4 This is a flowchart illustrating the method described in Embodiment 5 of the present invention. Detailed Implementation

[0067] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0068] Example 1

[0069] Small power supply disconnection methods based on network backup self-transfer topology power failure, such as Figure 1 As shown, it specifically includes the following:

[0070] This method is mainly used for an independent circuit network. The staff plans the current circuit network and divides it into several independent topology networks. Each topology network contains a number of components, such as transformers, switches, valves, etc., and each individual component is recorded as a node.

[0071] The circuit network uses preset sensors to monitor all topologies in real time and obtain the electrical parameters of each node in the topology, including current, voltage, etc.

[0072] The electrical parameters of each node are recorded as the state vector associated with that node. The state vector associated with that node is analyzed, and other nodes in the current topology are analyzed in the same way.

[0073] Based on the results of state vector analysis of all nodes, the power-out topology network and the normal topology network are further identified.

[0074] If the topology is detected as a normal topology, monitoring will continue.

[0075] If the topology is detected as a power-depleted topology, further processing will be carried out.

[0076] Based on the identified power outage topology, the power outage areas in the current power outage topology are first analyzed through abnormal nodes. Then, by statistically analyzing the small power sources and their capacities within the power outage areas, and combining this with the remaining load in the power outage topology, the capacity for connecting and disconnecting small power sources is further determined, and the small power sources that need to be connected and disconnected are connected and disconnected.

[0077] For a topology network currently identified as a power outage network, it is necessary to monitor all abnormal nodes in the power outage network in real time and obtain the state vectors of all nodes in the power outage network. By analyzing the state vectors, the power outage area and abnormal nodes can be identified in real time. Based on the changes in the power outage area and abnormal nodes, corresponding adaptive processing methods can be formulated to regulate the connection and disconnection of small power sources in the power outage network.

[0078] The purpose of the method described in this embodiment is to plan and divide an independent circuit network into multiple independent topological networks. By using preset sensors to monitor the electrical parameters of each network node in real time to form a state vector and analyze it, the normal and power-out topological networks are identified. For the power-out topological network, the power-out area is further determined, and the small power sources and their capacities are statistically analyzed. Combined with the remaining load, the small power sources are identified and connected for disconnection. Subsequently, the abnormal nodes and state vectors of the power-out topological network are monitored in real time to determine the power-out area and node changes, and an adaptive handling method is formulated to control the small power sources for disconnection.

[0079] Example 2

[0080] This embodiment, based on Embodiment 1, discloses a method for locking power-out topology networks and normal topology networks using state vector locking, such as... Figure 2 As shown, it specifically includes the following:

[0081] Extract all topologies from the current circuit network determined by the operator, count their number, and denote the final count of topologies as j, denoted sequentially as A1, A2, ..., A j Where A1, A2, ..., A j Let A1, A2, ..., Aj represent the first to the j-th topological networks, and further define the j-th topological networks: A1, A2, ..., Ajj. j Any topology network in: A i In this embodiment, A will be used as the reference. i As an example, the remaining topologies are processed in the same way as topology A in this method. i The method is used for processing, where i is the counting index, which starts from 1 and does not exceed j;

[0082] The monitoring period T, preset by the operator, is further determined. The duration of monitoring period T is determined by the operator based on the actual situation, with the current time point as the start time for monitoring the topology network A. i Continuous monitoring is performed for a duration of one monitoring period T. When the continuous monitoring time reaches one monitoring period T, the time point at this point is recorded as t1. Subsequent time points are determined using the same method as t1. For example, continuously monitoring topology network A... iThe time interval between two monitoring cycles T is recorded as t2, and so on.

[0083] Based on the determined time point t1, obtain the topology network A. i Let O be the total number of nodes in the network A, and let O nodes be arranged according to the topology of the network. i The current flow in the circuit is sorted, and the sorted nodes are sequentially labeled B1, B2, ..., B. o Where o represents the topology A i The total number of nodes in B u For topology network A i For any one of the o nodes, o and u are both counting indices, starting from 1, and u does not exceed o;

[0084] Extract B1, B2, ..., B o Any node B u The state vector at time point t1 is denoted as y(t1) = [y1(t1), y2(t1), ..., y n [t1], where the state vector refers to y(t1), [y1(t1), y2(t1), ..., y n [t1] represents 1 to n electrical parameters in the state vector y(t1), namely: voltage, current, etc., where n is the counting index, representing the total number of electrical parameters.

[0085] Then extract the current node B from the cloud data. u Several state vectors measured at several past time points during normal operation were used to fit B. u By fitting several state vectors measured during normal operation in the past, node B is obtained. u The state vector curve diagram under normal conditions is denoted as the normal state vector curve diagram S;

[0086] Using time point t1 as the reference time, continuously monitor node B. u For k-1 monitoring periods T, together with time point t1, k time points are determined, as well as node B. u The state vectors corresponding to k time points are used again to fit B using image fitting techniques. u The state vectors corresponding to k time points are fitted to obtain k state vector curves, and the obtained k state vector curves are verified with the normal state vector curve S.

[0087] If the verification passes, it means that node B... u The state is normal; if the verification fails, it indicates that node B is in a normal state. u The status is abnormal.

[0088] At this point, the current node B can be determined. u The operating status, i.e., abnormal or normal;

[0089] According to the processing node B in this embodiment u The method for topological network A i All nodes in the array, namely: B1, B2, ..., B o And count the total number of nodes in a normal operating state, denoted as bc. If bc equals 0, then the topology network A is in a normal operating state. i If all nodes in network A are in a normal operating state, then the topology network A is considered normal. i This is a normal topology network;

[0090] If bc is greater than 0, it indicates that topology network A i If at least one node in the network is in an abnormal state, then the topology network A is locked. i This is a power-off topology network;

[0091] In this embodiment, the topology network A is processed... i The method processes all topologies A1, A2, ..., A in the current circuit network. j This further helps to determine the normal topology and the power-off topology in the current circuit network.

[0092] The method for locking power-out topology networks and normal topology networks based on state vectors described in this embodiment aims to monitor the operating status of each topology network and its nodes in the circuit network in real time. By fitting and verifying state vectors, abnormal nodes can be accurately identified, thereby locking the power-out topology network. Its core purpose is to achieve refined and dynamic monitoring of the circuit network and timely detect and locate power-out areas.

[0093] Example 3

[0094] This embodiment, based on Embodiments 1 and 2, further discloses a method for verifying the state vector curve diagram and the normal state vector curve diagram, such as... Figure 3 As shown, the specific steps include the following:

[0095] Based on the topology network A determined in Example 2 i Any node B in u Given several state vectors determined at several past time points, extract any one time point t from these state vectors. 任 The corresponding state vector is denoted as y(t) 任 (The aforementioned state vectors refer to node B) uThe state vector measured during normal operation over a past period of time), the y(t) 任 )=[y1(t 任 ),y2(t 任 ),...,y n (t 任 )];

[0096] Extracting the state vector y(t) 任 The n electrical parameters in ) are y1(t 任 ),y2(t 任 ),...,y n (t 任 The n electrical parameters are normalized by removing their dimensions and then normalized again to obtain n electrical parameters, which are denoted as y1(t). 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 Then the normalized state vector at this time can be expressed as: y(t 任 ) 归 =y1(t 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 ;

[0097] A two-dimensional coordinate system is constructed to represent the normalized state vector, as described below:

[0098] Using electrical parameters y1, y2, ..., y n Using y1, y2, ..., y as the horizontal axis, n Arrange the parameters sequentially on the horizontal axis, and then use the normalized electrical parameter values ​​as the vertical axis. This constructs a two-dimensional coordinate system to display the normalized state vector. The normalized state vector y(t) is then... 任 ) 归 The electrical parameters and their normalized values ​​in the state vector are labeled in the constructed two-dimensional coordinate system, and the labeled data points are fitted using image fitting techniques to obtain the time point t. 任 Node B u The state vector curve diagram.

[0099] Repeat the above steps, except for node B. uThe other state vectors measured during normal operation are processed in the same way, resulting in several nodes B. u The state vector curve diagram under normal working conditions, and then for several nodes B u The state vector curve of the normal working state is fitted to a curve, and finally node B is obtained. u The state vector curve diagram under normal working conditions is denoted as the normal state vector curve diagram S.

[0100] Process node B according to the steps above. u The method of obtaining the state vector and its curve for node B under normal working conditions. u The same process is applied to the state vector associated with time point t1 to obtain node B. u The state vector curve associated with time point t1 is plotted and denoted as follows.

[0101] Then plot the state vector curve associated with time point t1. The normal state vector curve S is plotted in a two-dimensional coordinate system, meaning there are two state vector curves within one coordinate system.

[0102] Then, using the first electrical parameter y1, draw a straight line perpendicular to the horizontal axis and parallel to the vertical axis, denoted as L1. Then, using the last electrical parameter y... n Draw a straight line perpendicular to the horizontal axis and parallel to the vertical axis, denoted as L2;

[0103] After processing the surveyed straight line, L1, L2, and L3 can be determined. S will collectively form one or more closed regions, and the sum of the areas of all closed regions is denoted as Si.

[0104] Obtain the AR threshold of the enclosed area determined by the operator in conjunction with the current actual environment. 阈 and the area of ​​the enclosed region AR of the enclosed area preset by the operator 阈 Perform a comparison;

[0105] If the area of ​​the enclosed region Greater than or equal to the operator's preset threshold for the area of ​​the enclosed region AR 阈 This indicates that node B u The running status at time point t1 and node B u The deviation from normal operating conditions is large, and the view node B u The running status at time point t1 is abnormal;

[0106] If the area of ​​the enclosed region AR is less than the operator's preset threshold for the enclosed area 阈 This indicates that node B u The running status at time point t1 and node B u Normal operating deviation is small, see node B u The system is running normally at time point t1.

[0107] Using time point t1 as the baseline time, continue monitoring node B. u Continue to obtain a total of k state vectors, including the state vector corresponding to time point t1, with each of the k state vectors corresponding to a time point.

[0108] Following the method described above for processing the state vector associated with time point t1, the remaining k-1 state vectors are processed. The k-1 state vectors are then fitted into k-1 state vector curves using image fitting techniques. These curves are plotted on the two-dimensional coordinate system containing the normal state vector curve S, and the area of ​​the enclosed region is calculated (the area of ​​the enclosed region is calculated by designing only the normal state vector curve and one state vector curve. There are only one or two curves at the same time in the same coordinate system). A total of k-1 enclosed region areas are obtained.

[0109] State vector curve diagram including the state vector associated with time point t1 The closed region area formed by the normal state vector curve S yields k closed region areas. Among these k closed region areas, if p consecutive closed region areas are all greater than or equal to the operator's preset closed region area threshold AR... 阈 If so, the verification is deemed to have failed;

[0110] If not all p consecutive closed regions have an area greater than or equal to the operator's preset closed region area threshold AR 阈 If the result is , it means the verification is successful, where p is a value preset by the operator based on the actual situation.

[0111] This embodiment normalizes multiple state vectors from the node's past normal state, constructs a two-dimensional coordinate system, and fits a normal state curve. The currently monitored state vector is processed in the same way and compared with the normal state curve. The area of ​​the closed region is calculated and compared with a threshold to determine whether the node's operating state is normal. By continuously monitoring the state vectors and the changing trend of the closed region area at multiple time points, dynamic monitoring of the node's state is achieved, and abnormal nodes are detected in a timely manner.

[0112] Example 4

[0113] This embodiment, as Embodiment 4 of the present invention, focuses on combining the implementation processes of Embodiments 2 and 3.

[0114] Example 5

[0115] This embodiment, based on Embodiment 1, further discloses a method for coordinated switching and control of small power sources associated with anomaly topology networks, such as... Figure 4 As shown, it specifically includes the following:

[0116] Based on the currently determined circuit network, obtain all the power-loss topologies determined by the methods described in Examples 1 to 4 within the circuit network, and extract any one of these power-loss topologies, denoted as A. i and power outage topology network A i The nodes in the process that are in an abnormal running state;

[0117] Obtain all nodes in an abnormal operating state, further identify the small power sources supplying power to these nodes, count the total number of small power sources (denoted as H), and categorize them according to the power outage topology A of the abnormal nodes. i The current flows in the circuit are sorted, and the H small power sources are sequentially labeled as: D1, D2, ..., D H And obtain H small power supplies D1, D2, ..., D H Any small power source in the system, denoted as D. G The D G H small power supplies D1, D2, ..., D to supply power to nodes in abnormal states. H In either of these, G and H are counting indices, starting from 1, and G does not exceed H.

[0118] Further obtain the maximum capacity of the H small power supplies that supply power to the abnormal state nodes, and sum them to get the sum of the maximum capacities of the H small power supplies that supply power to the abnormal state nodes, and denote it as P.

[0119] Further obtain the current power outage topology network A i The remaining load in the network is denoted as F1, and then the topology A is obtained. i The power required before the power loss is denoted as F2. The current power-loss topology A is obtained by calculating F2-F1=F3. i The associated power gap F3;

[0120] Then compare the calculated power gap F3 with the sum of the maximum capacities P of the small power supplies that supply power to the abnormal state nodes.

[0121] If the power deficit F3 is greater than the sum of the maximum capacities P, it means that even if all the output power of the small power supplies is used to support the power outage area, it will not be able to meet the demand of the remaining load. The first step is to address the power outage topology A. iThe system disconnects all small power supplies that are supplying power to nodes in abnormal states, i.e., the disconnection capacity of small power supplies is P at this time, and notifies the operators that intervention is required.

[0122] If F3 is less than or equal to P, it means that the total capacity of the current small power supply is sufficient to cover the remaining load demand, or that power balance can be achieved by cutting off some or all of the small power supplies. The small power supply disconnection capacity is locked at F3.

[0123] Based on the topology A that is determined to be in a power-off state i Mark the topology network A. i And perform real-time monitoring to obtain the topology network A in real time. i If an abnormal node recovers to a normal state, or a previously normal node becomes abnormal, the power gap F3 is recalculated, and the tripping capacity of the small power source is determined through calculation. If F3 is positive, it indicates that a reverse power outage topology A needs to be implemented. i The small power supply that powers the abnormal node in the process is switched off.

[0124] If F3 is negative, it means that the previously disconnected small power source needs to be reconnected to the de-energized topology network A. i In the middle, the capacity of the small power supply connected is |F3|.

[0125] This embodiment aims to ensure power balance and stable grid operation by controlling the coordinated switching of small power sources in a power-out topology network. Based on a comparison between the power deficit and the total capacity of the small power sources, it makes reasonable decisions regarding the disconnection or reconnection of small power sources, and monitors and adjusts them in real time to adapt to changes in the power-out topology network state.

[0126] All data in the formulas described above are numerical calculations performed after removing their dimensions. Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0127] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0128] It should be stated that all user data collected in this application was collected with the user's consent and authorization. Furthermore, the uses of user data are legal and compliant, and the use and processing of user data comply with the relevant laws, regulations, and standards of the relevant regions.

Claims

1. A method for small power supply interconnection based on network spare power source topology power loss, characterized in that, The method comprises the following steps: Step 1, obtaining a plurality of topological networks in the current circuit network, and monitoring the state vectors of a plurality of nodes in any topological network in real time, wherein the state vector is an electrical parameter of the node, including voltage, current, frequency and phase; the state vector: ; wherein, denotes the state vector of the node at time t, denotes the state vector of the electrical parameters, n is a counting index, denoting the total number of electrical parameters, denotes any one of the electrical parameters in , and m takes values from 1 up to n. The specific way of locking the power-off topological network and the normal topological network based on the state vector is: The total number of topology networks in the circuit network is denoted as j, which is represented in turn as ; extracting any one of the topological networks in where i is a count index, starting at 1 and not exceeding j; The acquisition operation personnel preset monitoring period T, with the current time as the starting time to the future extension of a monitoring period T time, and record the time point as ; Sure hour, Several nodes in, and on The current flow in the middle is sorted and denoted as follows: ; wherein o denotes the total number of nodes in is any one of the o nodes in, o, u are count indexes, starting from 1, and u does not exceed o; extracting In the state vector at time t, denoted by ; extracting from the cloud data a number of state vectors measured at a number of points in time at which the system was in normal working condition, and fitting a normal state vector profile S of the normal state vector profile S Continuously monitoring the normal topological network; Further processing the power-off topological network; Step 2, based on the determined power-off topological network, further determining the power-off area in the power-off topological network, counting the small power supply and its capacity in the power-off area, and combining the remaining load in the power-off topological network, further locking the small power supply combined capacity, and performing combined operation; Step 3, continuously monitoring the state vectors of a plurality of nodes in the power-off topological network, and regulating and controlling the combined operation of the small power supply based on the change of the state vectors of the nodes.

2. The method according to claim 1, wherein the method is characterized in that, The specific way of locking the power-off topological network and the normal topological network based on the state vector further comprises: With as the reference time, continuously acquire k time points and at the state vectors corresponding to the k time points, fit the k state vectors into a k state vector graph, and respectively check with the normal state vector graph S; If the check passes, the running state of the device is regarded as a normal state. If the check passes, the running state of the device is regarded as a normal state If the check fails, the running state of the device is regarded as an abnormal state. If the check fails, the running state of the device is regarded as an abnormal state. wherein the k time points comprise a time point ; The method is as follows The node is not the center node The number of nodes in abnormal state is counted. If bc=0, the network is marked as normal topology. The method is as follows Conversely, then the marker is a de-energized topological network; Processing topology network of method j-1 topology networks other than the normal topology network and the de-energized topology network.

3. The method according to claim 2, wherein the method further comprises: determining whether the small power supply is connected to the network; and if the small power supply is connected to the network, sending a command to the switch to switch off the small power supply. The specific manner of fitting the k state vectors into k state vector graphs and checking against the normal state vector graph S is: based on the determined node The state vectors measured at several time points in the past when the node was in a normal working state are extracted at any one of the time points The corresponding state vector is denoted as ; The n electrical parameters in the state vector are normalized as ;​​​ A two-dimensional coordinate system is constructed with the electrical parameter as the horizontal axis and the normalized value of the electrical parameter as the vertical axis, and the According to the electrical parameter and the normalized value thereof, the time point Node State vector curve is fitted in the constructed two-dimensional coordinate system. The above steps are repeated for the remaining nodes The same is done for the state vectors measured in normal operation, resulting in a number of nodes A plot of the state vectors in normal operation; for the determined number of nodes In the state vector plot of the normal operating state, further fitting is performed to obtain a normal state vector plot S of the node ​ According to the above steps, the following is obtained In The associated state vector graph , the following is obtained Plotting into the two-dimensional coordinates where S is located, and plotting two straight lines that pass through the first electrical parameter , and the last electrical parameter , and are perpendicular to the horizontal axis: ; Statistics The sum of the areas of one or several closed regions, denoted by ; acquiring a closed area area threshold preset by an operator and comparing with each other like ,See At the point of time The operating status is abnormal; like ,See At the point of time The system is operating normally.

4. The method according to claim 3, wherein the method further comprises: determining whether the small power supply is connected to the network; and if the small power supply is connected to the network, sending a command to the switch to switch off the small power supply. The specific way of fitting k state vectors into k state vector graphs and checking with the normal state vector graph S further comprises the following: By time point For continuous acquisition of reference time, including There are a total of k time points and nodes. The state vectors corresponding to k time points; According to the processing The associated state vector obtains a state vector graph The method, processing the remaining k-1 state vectors, fitting obtains k-1 state vector graphs, respectively mapping in the two-dimensional coordinate system where the normal state vector graph S is located, and calculating the enclosed area composed together The associated enclosed area, totaling k enclosed areas; If k closed area areas, there are consecutive p closed area areas greater than or equal to Then the check is determined to be failed, otherwise the check is determined to be passed, wherein p is a value preset by an operator.

5. The method according to claim 4, wherein the method further comprises: determining whether the small power supply is connected to the network; and if the small power supply is connected to the network, sending a command to the switch to switch off the small power supply. In step Step 2, the specific way of further locking the small power supply combined capacity in combination with the remaining load in the power-off topological network is: acquiring all the de-energized topological networks in the circuit network, extracting an arbitrary de-energized topological network and abnormal state node Extract all small power supplies that power the abnormal state nodes, a total of H, and sort them according to the direction of the current of the abnormal state nodes in , recorded as: , For any one of , G, H are count indexes, starting from 1, and ; Statistics the sum of the maximum capacities of the nodes, denoted P; Statistics remaining load in and power required before power loss , using calculated associated power gap ; If , the locking small power supply is cut off with a capacity of P, all small power supplies supplying power to the abnormal state node are cut off, and the operator is informed that intervention is required. If , the lockout power supply capacity is .

6. The method according to claim 5, wherein the method further comprises: In step Step 3, the specific way of regulating and controlling the combined operation of the small power supply based on the change of the state vectors of the nodes is: Real-time monitoring The state vector of all nodes is monitored in real time, and if a change in the running state of a node occurs, the state vector is recalculated and the switching capacity is re-determined If is positive, it indicates that the small power supply for supplying power to the abnormal node in needs to be connected and cut off, and the connection and cut-off capacity is ; If is negative, it means that the original removed small power supply needs to be reconnected to the power-off topology network , and the capacity of the connected small power supply is .

Images