Small power supply intertripping method based on network spare power automatic switching topology power loss

Abstract

The invention discloses a small power supply intertripping method based on network spare power automatic switching topology power loss, relates to the technical field of electric power, and aims to quickly position a power loss area and optimize intertripping operation of a small power supply by monitoring state vectors of nodes in a power grid topology network in real time. Acquiring a plurality of topology networks in the circuit network, and locking power-losing and normal topology networks through the state vector; determining a power-losing area in the power-losing topology network, counting small power capacity and residual load in the area, calculating a power gap to lock intertripping capacity, and executing intertripping operation; if the power gap exceeds the total capacity of the small power supplies, all the small power supplies are cut off and manual intervention is notified; otherwise, only partial excision or no excision is needed; node state vector changes are continuously monitored, small power supply intertripping capacity is dynamically adjusted, and stable operation of a power grid is ensured.

Description

Technical Field

[0001] The present invention belongs to the field of electric power technology, and in particular relates to a small power supply switching method based on power failure of a network standby automatic switching topology. Background Art

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

[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 location and take effective countermeasures; especially in the case of widespread access to distributed energy, how to effectively manage and optimize the output of these small power sources to maintain the stable operation of the power grid has become a major challenge; although the existing power grid monitoring system can monitor electrical parameters such as voltage and current in the power grid in real time, it still has shortcomings in dealing with power outages caused by changes in the power grid topology; for example, in the event of a local power outage in the power grid, the existing technology cannot quickly identify the power outage area, and it is difficult to determine the optimal small power supply switching strategy to balance load demand and power generation capacity. Based on the above content, the present invention proposes a small power supply switching method based on network backup automatic transfer topology power outage. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a small power supply co-cutting method based on a network backup automatic transfer topology power failure, which solves the problems that the existing technology cannot quickly identify the power failure area and is difficult to determine the optimal small power supply co-cutting strategy to balance load demand and power generation capacity.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A method for switching off a small power source in a network backup automatic switching topology when power is lost includes the following steps:

[0007] Step 1: Obtain several topological networks in the current circuit network, and monitor the state vectors of several nodes in any topological network in real time, and lock the power-off topological network and the normal topological network based on the state vector;

[0008] Continuous monitoring of normal topology networks;

[0009] Further processing of power-off topology network;

[0010] Step 2: Based on the determined power outage topology network, further determine the power outage area in the power outage topology network, count the small power sources and their capacities in the power outage area, and further lock the small power source co-operation capacity based on the remaining load in the power outage topology network, and perform the co-operation operation;

[0011] Step 3: Continuously monitor the state vectors of several nodes in the power-off topology network, and regulate the switching of small power sources based on the changes in the state vectors of the nodes.

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

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

[0014] Among them, y(t) represents the state vector of the node at time t, y1(t),y2(t),...,y n (t) represents the electrical parameters in the state vector y(t), n is the count index, which represents the total number of electrical parameters, y m (t) represents y1(t),y2(t),...,y n (t), and the value of m starts from 1 and does not exceed n.

[0015] As a further solution of the present invention, in step 1, the specific method of locking the power-off topology network and the normal topology network based on the state vector is:

[0016] The total number of topological networks in the circuit network is denoted as j, and represented as A1, A2, ..., A j ;

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

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

[0019] When t1 is determined, A i Several nodes in A i Sort the current direction in the sequence as B1, B2, ..., B o ;

[0020] Among them, o represents A i The total number of nodes in B u A i Any of the o nodes in , o and u are counting indexes, starting from 1, and u does not exceed o;

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

[0022] Extract B from cloud data u Several state vectors measured at several time points in the past when the system was in normal working state are fitted to obtain B u Normal state vector curve S.

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

[0024] Taking t1 as the reference time, continuously obtain k time points and B u At the state vectors corresponding to k time points, k state vectors are fitted into k state vector curve graphs, and are checked against the normal state vector curve graph S respectively;

[0025] If the verification is passed, then B u The running status is normal;

[0026] If the check fails, then B u The running status is abnormal;

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

[0028] Process B1, B2, ..., B in the same way as above o Except Node B u o-1 nodes other than A, and count the number of nodes in normal state bc. If bc=0, mark A i It is a normal topology network;

[0029] Otherwise, mark A i It is a power-off topology network;

[0030] By processing topology network A i The method to process A1,A2,...,A j A i The j-1 node topology network other than the above, locks the normal topology network and the power-off topology network.

[0031] As a further solution of the present invention, the specific method of fitting k state vectors into k state vector graphs and verifying them with the normal state vector graph S is as follows:

[0032] Based on the determined Node B u Several state vectors are measured at several time points in the past when the system is in normal working state. Extract any one of them at time point t 任The corresponding state vector is denoted by y(t 任 )=[y1(t 任 ),y2(t 任 ),...,y n (t 任 )];

[0033] For y(t 任 ) in n electrical parameters y1(t 任 ),y2(t 任 ),...,y n (t 任 ) are normalized and recorded as y1(t 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 , get the normalized state vector y(t 任 ) 归 =y1(t 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 ;

[0034] A two-dimensional coordinate system is constructed with the electrical parameters as the horizontal axis and the normalized values of the electrical parameters as the vertical axis, and y(t 任 ) 归 According to the electrical parameters and their normalized values, they are marked in the constructed two-dimensional coordinate system and fitted into the time point t 任 Node B u State vector graph of ;

[0035] Repeat the above steps for the remaining nodes B u The state vector measured in normal working state is processed in the same way, and a total of several nodes B are obtained. u State vector graph under normal working condition;

[0036] For the determined Node Bs u The state vector curve diagram in the normal working state is further fitted to obtain node B u Normal state vector curve S;

[0037] According to the above steps, we get B u State vector graph associated with t1 Will Map to the two-dimensional coordinates where S is located, and map two lines passing through the first electrical parameter y1 and the last electrical parameter y n , and the straight lines perpendicular to the horizontal axis: L1, L2;

[0038] Statistics L1, L2, The sum of the areas of one or more closed regions formed by S is denoted as

[0039] Get the closed area threshold AR preset by the operator 阈 , and with AR 阈 Make a comparison;

[0040] like View B u The operating status at time point t1 is abnormal;

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

[0042] As a further solution of the present invention, a specific method of fitting k state vectors into k state vector graphs and verifying them with the normal state vector graph S also includes the following:

[0043] Taking time point t1 as the reference time, continuously obtain k time points including t1 and node B u The state vector corresponding to k time points;

[0044] The state vector curve is obtained by processing the state vector associated with t1 The remaining k-1 state vectors are processed by fitting k-1 state vector graphs, which are respectively plotted in the two-dimensional coordinate system where the normal state vector graph S is located. The area of the enclosed region formed by them is calculated, together with the area of the enclosed region associated with t1, for a total of k enclosed region areas;

[0045] If the area of k closed areas is greater than or equal to AR, there are p consecutive closed areas. 阈 , then the verification is judged to have failed, otherwise the verification is passed, where p is the value preset by the operator.

[0046] As a further solution of the present invention, in step 2, the specific method of further locking the small power supply cut-off capacity in combination with the remaining load in the power-off topology network is as follows:

[0047] Obtain all power-off topology networks in the circuit network and extract any power-off topology network A i and A i Abnormal state node in;

[0048] Extract all the small power sources that supply power to the abnormal state nodes, a total of H, and divide them into two groups according to the abnormal state nodes in A. i The direction of the current in the array is sorted and recorded as: D1, D2, ..., D H , D G For D1, D2, ..., D H In any one of them, G and H are counting indexes, starting from 1, and G≤H;

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

[0050] Statistics A i The residual load F1 and A i The power required before power failure is F2, and A is calculated by using F2-F1=F3. i The associated power gap F3;

[0051] If F3>P, the small power supply cut-off capacity is locked to P, all small power supplies supplying abnormal nodes are cut off, and the operator is notified that intervention is required.

[0052] If F3≤P, the small power supply interlocking capacity is locked to F3.

[0053] As a further solution of the present invention, in step 3, the specific method of regulating the switching of small power sources based on the change of the state vector of the node is:

[0054] Real-time monitoring A i The state vectors of all nodes in the network are calculated. If the running state of a node changes, F3 is recalculated and the joint cutting capacity is re-determined.

[0055] If F3 is a positive number, it means that A i The small power supply that supplies power to the abnormal node in the network is cut off in a joint manner, and the cut-off capacity is F3;

[0056] If F3 is a negative number, it means that the small power supply that was originally cut off needs to be reconnected to the power-off topology network A. i In the example, the capacity of the connected small power supply is |F3|.

[0057] Beneficial effects of the present invention:

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

[0059] (2) The present invention provides a method for accurately distinguishing and optimizing the management of normal and power-off topological networks in a power grid. By normalizing the state vectors of nodes when they were in normal working state at several time points in the past, a two-dimensional coordinate system is constructed to represent various electrical parameters and their normalized values. This method can not only eliminate the dimensional differences between different electrical parameters, but also more intuitively display the changing trends of various parameters. The state vectors are fitted into a state vector curve graph, and a normal state vector curve graph is further fitted. Not only the data at a single time point is focused on, but also the historical behavior patterns are considered, thereby improving the sensitivity and accuracy of fault detection.

[0060] (3) The present invention performs a comprehensive evaluation by continuously acquiring the state vectors at k time points and fitting them into k state vector curve graphs. The area of the closed region formed between these curve graphs and the normal state vector curve graph S is calculated and compared with the closed region area threshold preset by the operator. This can more accurately determine whether the operating state of the node at a specific time point is abnormal. In particular, when the areas of p consecutive closed regions are all greater than or equal to the preset threshold, the verification is determined to have failed. This continuity detection mechanism effectively avoids the risk of misjudgment caused by data fluctuations at a single time point, thereby improving the reliability of the system.

[0061] (4) The present invention provides a dynamic feedback mechanism that monitors changes in node status in real time and recalculates the power gap and adjusts the switching capacity of small power sources based on the latest data. When an abnormal node returns to normal or a previously normal node becomes abnormal, the system reassesses the power gap and adjusts the switching strategy of small power sources accordingly. This dynamic control mechanism ensures that the power grid can maintain efficient and stable operation in a complex and changing operating environment, greatly enhancing the system's self-healing ability and ability to cope with sudden failures. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0063] Figure 1 It is a schematic flow chart of the method of the present invention;

[0064] Figure 2 This is a schematic diagram of the process of the method described in Example 2 of the present invention;

[0065] Figure 3 This is a schematic diagram of the process of the method described in Example 3 of the present invention;

[0066] Figure 4 This is a schematic flow chart of the method described in Example 5 of the present invention. DETAILED DESCRIPTION

[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0068] Example 1

[0069] Small power supply disconnection method based on network backup automatic switching topology power failure, such as Figure 1 As shown, specifically including 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 topological networks that do not affect each other. A topological network contains several components, such as transformers, switch valves, etc., and each individual component is recorded as a node.

[0071] Using preset sensors to monitor all topological networks in the circuit network in real time, and obtain electrical parameters of each node in the topological network, including current, voltage, etc.;

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

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

[0074] If the topology network is detected to be normal, the monitoring will continue;

[0075] If it is detected that the topology network is a power-off topology network, further processing is performed.

[0076] Based on the topology network determined as the power-off topology network, the power-off area in the current power-off topology network is first analyzed through abnormal nodes, and the small power sources and their capacities in the power-off area are counted and analyzed. Combined with the remaining load in the power-off topology network, the capacity of the small power source interlocking is further locked, and the small power sources that need to be interlocked are interlocked.

[0077] For a topology network currently determined to be a power-off topology network, it is necessary to monitor all abnormal nodes in the power-off topology network in real time, and obtain the state vectors of all nodes in the power-off topology network. Through analysis of the state vectors, the power-off area and abnormal nodes can be determined in real time. In combination with the changes in the power-off area and abnormal nodes, corresponding adaptive processing methods can be formulated to regulate the connection and disconnection of small power sources in the power-off topology network.

[0078] The purpose of the method described in this embodiment is to plan and divide an independent circuit network into multiple topological networks that do not affect each other, monitor the electrical parameters of each network node in real time through preset sensors to form a state vector and analyze it, lock the normal and power-off topological networks, further determine the power-off area of the power-off topological network, statistically analyze small power sources and their capacities, lock and parallel cut the small power sources in combination with the remaining load, and subsequently monitor abnormal nodes and state vectors of the power-off topological network in real time to determine the power-off area and node changes, and formulate an adaptive processing method to regulate the small power sources for joint cutting.

[0079] Example 2

[0080] This embodiment discloses a method for locking a power-off topology network and a normal topology network based on a state vector on the basis of embodiment 1, such as Figure 2 As shown, specifically including the following:

[0081] Extract all the topological networks in the current circuit network determined by the operator and count the number. The number of topological networks finally counted is recorded as j and expressed as A1, A2, ..., A j , where A1, A2, ..., A j In turn, they represent the first to j-th topological networks, and further determine j topological networks: A1, A2, ..., A j Any topology network in: A i In this embodiment, A i As an example, the rest of the topological networks are processed according to the method of topological network A. i The method is used for processing, where i is the counting index, starting from 1 and not exceeding j;

[0082] Further determine the monitoring period T preset by the operator, the duration of the monitoring period T is determined by the operator to explain the actual situation, and the topology network A is monitored with the current time point as the starting time. i Perform continuous monitoring for a monitoring period of T. When the continuous monitoring time reaches a monitoring period of T, the time point at this time is recorded as t1. The method for determining subsequent time points is processed according to the method for determining time point t1. For example, continuously monitor the topology network A iThe time from the second monitoring cycle T is recorded as t2, and so on.

[0083] Based on the determined time point t1, the topology network A is obtained. i All nodes in the network, the total number of all nodes is recorded as o, and o nodes are divided into i Sort the direction of the current in the array, and record the sorted nodes as B1, B2, ..., B o , where o represents the topological network A i The total number of nodes in B u For topology network A i For any of the o nodes, o and u are both counting indexes, 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., and n is a counting index, representing the total number of electrical parameters.

[0085] Then extract the current node B from the cloud data u The state vectors obtained by measuring the state of the B at several time points in the past when the B is in normal working state are transformed into the state vectors by using image fitting technology. u The state vectors of node B are fitted by measuring several state vectors in the past when the node was in normal working state. u The state vector curve diagram in the normal state is recorded as the normal state vector curve diagram S;

[0086] At time point t1 as the reference time, continuously monitor node B u Continue k-1 monitoring cycles T, together with time point t1, to jointly determine k time points, and node B u The state vector corresponding to the k time points is again converted to B using image fitting technology. u Fitting the state vectors corresponding to k time points to obtain k state vector curve graphs, and verifying the obtained k state vector curve graphs with the normal state vector curve graph S;

[0087] If the verification passes, it means that node B u The status is normal. If the check fails, it means that node B u The status is abnormal;

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

[0089] According to the processing of node B in this embodiment u The method of topological network A i All nodes in, namely: B1,B2,...,B o , and count the total number of nodes in normal state, recorded as bc, if bc is equal to 0, that is, topology network A i If the running status of all nodes in the network is normal, it means that the topology network A i It is a normal topology network;

[0090] If bc is greater than 0, it means topology network A i If there is at least one node in abnormal state, the topology network A is locked. i It is a power-off topology network;

[0091] According to the processing of topology network A in this embodiment i The method processes all topological networks A1, A2, ..., A in the current circuit network j , further determine the normal topology network and the power-off topology network in the current circuit network.

[0092] The method described in this embodiment of locking the power-off topology network and the normal topology network based on the state vector is intended to monitor the operating status of each topology network and its nodes in the circuit network in real time, accurately identify abnormal nodes through the fitting and verification technology of the state vector, and then lock the power-off topology network; its core purpose is to achieve refined and dynamic monitoring of the circuit network, and timely discover and locate the power-off area.

[0093] Example 3

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

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

[0096] Extract the state vector y(t 任 ) in n electrical parameters, namely y1(t 任 ),y2(t 任 ),...,y n (t 任 ), normalize the n electrical parameters, remove the dimension of the n electrical parameters, and obtain n electrical parameters again after normalization, and record them 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] Construct a two-dimensional coordinate system for displaying the normalized state vector as follows:

[0098] With electrical parameters y1, y2, ..., y n As the horizontal axis, y1,y2,...,y n Arrange them on the horizontal axis in the order of arrangement, and then use the normalized electrical parameter values as the vertical axis, so that a two-dimensional coordinate system for displaying the normalized state vector can be constructed, and then the normalized state vector y(t 任 ) 归 The electrical parameters in the state vector and their normalized values are marked in the constructed two-dimensional coordinate system, and the marked data points are fitted by image fitting technology to obtain the time point t 任 Node B u State vector graph.

[0099] Repeat the above steps again, except for node B uThe same processing is performed on other state vectors measured in normal working state, and a total of several node Bs are obtained. u The state vector curve diagram in the normal working state, and then for several nodes B u Perform fitting operation on the state vector curve diagram in normal working state to fit into a curve, and finally obtain node B u The state vector curve diagram in the normal working state is recorded as the normal state vector curve diagram S.

[0100] Follow the above steps to process Node B u The state vector of node B in normal working state and the method of obtaining the state vector curve diagram u The same process is performed on the state vector associated with time point t1 to obtain node B u The state vector graph associated with time point t1 is recorded as

[0101] Then the state vector curve associated with time point t1 The normal state vector graph S is mapped to the two-dimensional coordinates, that is, there are two state vector graphs in one coordinate system.

[0102] Then, through the first electrical parameter y1, a straight line perpendicular to the horizontal axis and parallel to the vertical axis is drawn, which is recorded as L1. Then, through 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 the processing of surveying and mapping straight lines, L1, L2, S will form one or more closed areas together, and then the area of all closed areas will be summarized and recorded as

[0104] Get the closed area threshold AR determined by the operator based on the current actual environment 阈 , and the enclosed area The closed area threshold AR preset by the operator 阈 Make a comparison;

[0105] If the enclosed area Greater than or equal to the closed area threshold AR preset by the operator 阈 , then it means node B u The operating status at time t1 is the same as that of node B u The normal operation state has a large deviation, depending on the node B u The operating status at time point t1 is abnormal;

[0106] If the enclosed area Smaller than the closed area threshold AR preset by the operator 阈 , then it means node B u The operating status at time t1 is the same as that of node B u The deviation of normal operation is small, depending on the node B u The operating status at time point t1 is normal.

[0107] Then use time point t1 as the reference time and continue to monitor node B u Continue to obtain a total of k state vectors including the state vector corresponding to time point t1, where k state vectors correspond to k time points;

[0108] Then, according to the method for processing the state vector associated with time point t1 in the above method, continue to process the remaining k-1 state vectors, and fit the k-1 state vectors into k-1 state vector curve graphs through image fitting technology, and plot them respectively in the two-dimensional coordinate system where the normal state vector curve graph S is located, and calculate the area of the closed region formed by them (the calculation of the area of a closed region only designs the normal state vector curve graph and one state vector curve graph, and there are only one or two curves in the same coordinate system at the same time), and obtain the total area of k-1 closed regions;

[0109] State vector graph together with the state vector associated with time point t1 The closed area area formed by the normal state vector curve S is k closed area areas. Among the k closed area areas, if there are p consecutive closed area areas that are greater than or equal to the closed area threshold AR preset by the operator, 阈 , then the verification is determined to have failed;

[0110] If there are no consecutive p closed areas whose areas are greater than or equal to the closed area threshold AR preset by the operator 阈 , it means the verification is passed, where p is the value preset by the operator based on the actual situation.

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

[0112] Example 4

[0113] This embodiment, as the fourth embodiment of the present invention, focuses on combining the implementation processes of the second and third embodiments;

[0114] Example 5

[0115] This embodiment further discloses a method for controlling the small power sources associated with the abnormal topology network based on the embodiment 1, such as Figure 4 As shown, specifically including the following:

[0116] Based on the currently determined circuit network, obtain all the power-off topology networks determined in the circuit network by the methods described in Examples 1 to 4, and extract any one of the power-off topology networks, which is recorded as A. i , and power-off topology network A i Nodes whose running status is abnormal;

[0117] Obtain all nodes with abnormal operation status, further determine the small power supply that supplies power to the abnormal state nodes, count the total number of small power supplies, record it as H, and calculate the power supply according to the abnormal node in the power-off topology network A. i Sort the direction of the current in the H small power supplies and record them as: D1, D2, ..., D H , and obtain H small power supplies D1, D2, ..., D H Any small power supply in the G , the D G There are H small power sources D1, D2, ..., D that supply power to abnormal nodes. H In any one of them, G and H are counting indexes, starting from 1, and G does not exceed H.

[0118] Further obtain the maximum capacities of H small power sources supplying power to the abnormal state node, and sum them up to obtain the sum of the maximum capacities of the H small power sources supplying power to the abnormal state node, and record it as P;

[0119] Further obtain the current power-off topology network A i The remaining load in is recorded as F1, and then the topology network A is obtained. i The power required before the power failure is recorded as F2. The current power failure topology network A is calculated by using 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 sources supplying power to the abnormal state nodes;

[0121] If the power gap F3 is greater than the maximum capacity sum P, it means that even if all the output power of small power sources is used to support the power-off area, it cannot meet the demand of the remaining load. First, the power-off topology network A iAll small power supplies supplying abnormal nodes are cut off, that is, the small power supply cut-off capacity is P, and the operator is notified 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 sources is sufficient to cover the remaining load demand, or power balance can be achieved by cutting off some or all of the small power sources, and the small power source joint cutting capacity is locked to F3.

[0123] Based on the topological network A determined to be in a power-off state i , mark the topology network A i , and conduct real-time monitoring to obtain the topology network A in real time i The state vectors of all nodes in the network are as follows: if an abnormal node returns to normal state, or an original normal node becomes an abnormal node, the power gap F3 is recalculated, and the switching capacity of the small power source is determined by calculation. If F3 is a positive number, it means that the opposite power outage topology network A needs to be performed. i The small power supply that supplies power to the abnormal node in the network is disconnected;

[0124] If F3 is a negative number, it means that the small power supply that was originally cut off needs to be reconnected to the power-off topology network A. i In the example, the capacity of the connected small power supply is |F3|.

[0125] This embodiment aims to ensure power balance and grid stability by coordinating and controlling small power sources in a power outage topology. Based on the power gap compared to the total capacity of the small power sources, appropriate decisions are made regarding the removal or reinsertion of small power sources. Real-time monitoring and adjustments are then made to adapt to changes in the power outage topology.

[0126] Some of the data in the formulas described above are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0127] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in similar ways. As long as they do not deviate from the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0128] It is important to note that all user data collected in this application is collected with the user's consent and authorization. Furthermore, the use of user data is legal and compliant, and the use and processing of user data complies with the relevant laws, regulations, and standards of the relevant regions.

Claims

1. A method for switching off small power sources based on a network backup automatic switching topology when power is lost, characterized in that: This method comprises the following steps: Step 1: Obtain several topological networks in the current circuit network, and monitor the state vectors of several nodes in any topological network in real time, and lock the power-off topological network and the normal topological network based on the state vector; Continuous monitoring of normal topology networks; Further processing of power-off topology network; Step 2: Based on the determined power outage topology network, further determine the power outage area in the power outage topology network, count the small power sources and their capacities in the power outage area, and further lock the small power source co-operation capacity based on the remaining load in the power outage topology network, and perform the co-operation operation; Step 3: Continuously monitor the state vectors of several nodes in the power-off topology network, and regulate the switching of small power sources based on the changes in the state vectors of the nodes.

2. The method for switching off a small power source based on a network backup automatic switching topology power failure according to claim 1 is characterized in that: The state vector described in Step 1 is the electrical parameters of the node, including: voltage, current, frequency, and phase; The state vector: y(t) = [y1(t), y2(t), ..., y n (t)]; Among them, y(t) represents the state vector of the node at time t, y1(t),y2(t),...,y n (t) represents the electrical parameters in the state vector y(t), n is the count index, which represents the total number of electrical parameters, y m (t) represents y1(t),y2(t),...,y n (t), and the value of m starts from 1 and does not exceed n.

3. The method for switching off a small power source based on a network backup automatic switching topology power failure according to claim 1 is characterized in that: In step 1, the specific method of locking the power-off topology network and the normal topology network based on the state vector is: The total number of topological networks in the circuit network is denoted as j, and represented as A1, A2, ..., A j ; Extract A1, A2, ..., A j Any topology network A in i , where i is the counting index, starting from 1 and not exceeding j; Get the monitoring period T preset by the operator, extend the time of one monitoring period T into the future with the current time as the starting time, and record this time point as t1; When t1 is determined, A i Several nodes in A i Sort the current direction in the sequence as B1, B2, ..., B o ; Among them, o represents A i The total number of nodes in B u A i Any of the o nodes in , o and u are counting indexes, starting from 1, and u does not exceed o; Extract B u The state vector at t1 is denoted as y(t1) = [y1(t1), y2(t1), ..., y n (t1)]; Extract B from cloud data u Several state vectors measured at several time points in the past when the system was in normal working state are fitted to obtain B u Normal state vector curve S.

4. The method for switching off a small power source based on a network backup automatic switching topology power failure according to claim 3 is characterized in that: The specific methods of locking the power-off topology network and the normal topology network based on the state vector also include: Taking t1 as the reference time, continuously obtain k time points and B u At the state vectors corresponding to k time points, k state vectors are fitted into k state vector curve graphs, and are checked against the normal state vector curve graph S respectively; If the verification is passed, then B u The running status is normal; If the check fails, then B u The running status is abnormal; Among them, k time points include time point t1; Process B1, B2, ..., B in the same way as above o Except Node B u o-1 nodes other than A, and count the number of nodes in normal state bc. If bc=0, mark A i It is a normal topology network; Otherwise, mark A i It is a power-off topology network; By processing topology network A i The method to process A1,A2,...,A j A i The j-1 node topology network other than the above, locks the normal topology network and the power-off topology network.

5. The method for switching off a small power source based on a network backup automatic switching topology power failure according to claim 4 is characterized in that: The specific method of fitting k state vectors into k state vector graphs and verifying them with the normal state vector graph S is as follows: Based on the determined Node B u Several state vectors are measured at several time points in the past when the system is in normal working state. Extract any one of them at time point t 任 The corresponding state vector is denoted by y(t 任 )=[y1(t 任 ),y2(t 任 ),...,y n (t 任 )]; For y(t 任 ) in n electrical parameters y1(t 任 ),y2(t 任 ),...,y n (t 任 ) are normalized and recorded as y1(t 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 , we get the normalized state vector y(t 任 ) 归 =y1(t 任 ) 归 ,y2(t 任 ) 归 ,...,y n (t 任 ) 归 ; A two-dimensional coordinate system is constructed with the electrical parameters as the horizontal axis and the normalized values of the electrical parameters as the vertical axis, and y(t 任 ) 归 According to the electrical parameters and their normalized values, they are marked in the constructed two-dimensional coordinate system and fitted into the time point t 任 Node B u State vector graph of ; Repeat the above steps for the remaining nodes B u The state vector measured in normal working state is processed in the same way, and a total of several nodes B are obtained. u State vector graph under normal working condition; For the determined Node Bs u The state vector curve diagram in the normal working state is further fitted to obtain node B u Normal state vector curve S; According to the above steps, we get B u State vector graph associated with t1 Will Map to the two-dimensional coordinates where S is located, and map two lines passing through the first electrical parameter y1 and the last electrical parameter y n , and the straight lines perpendicular to the horizontal axis: L1, L2; Statistics L1, L2, The sum of the areas of one or more closed regions formed by S is denoted as Get the closed area threshold AR preset by the operator 阈 , and with AR 阈 Make a comparison; like View B u The operating status at time point t1 is abnormal; like View B u The operating state at time point t1 is normal.

6. The method for switching off a small power source based on a network backup automatic switching topology power failure according to claim 5 is characterized in that: The specific method of fitting k state vectors into k state vector curve graphs and verifying them with the normal state vector curve graph S also includes the following: Taking time point t1 as the reference time, continuously obtain k time points including t1 and node B u The state vector corresponding to k time points; The state vector curve is obtained by processing the state vector associated with t1 The remaining k-1 state vectors are processed by fitting k-1 state vector graphs, which are respectively plotted in the two-dimensional coordinate system where the normal state vector graph S is located. The area of the enclosed region formed by them is calculated, together with the area of the enclosed region associated with t1, for a total of k enclosed region areas; If the area of k closed areas is greater than or equal to AR, there are p consecutive closed areas. 阈 , then the verification is judged to have failed, otherwise the verification is passed, where p is the value preset by the operator.

7. The method for switching off a small power source based on a network backup automatic switching topology power failure according to claim 4 is characterized in that: In Step 2, the specific method of further locking the small power supply cut-off capacity is as follows, combined with the remaining load in the power-off topology network: Obtain all power-off topology networks in the circuit network and extract any power-off topology network A i and A i Abnormal state node in; Extract all the small power sources that supply power to the abnormal state nodes, a total of H, and divide them into two groups according to the abnormal state nodes in A. i The direction of the current in the array is sorted and recorded as: D1, D2, ..., D H , D G For D1, D2, ..., D H In any one of them, G and H are counting indexes, starting from 1, and G≤H; Statistics D1, D2, ..., D H The sum of the maximum capacities is denoted as P; Statistics A i The residual load F1 and A i The power required before power failure is F2, and A is calculated by using F2-F1=F3. i The associated power gap F3; If F3>P, the small power supply cut-off capacity is locked to P, all small power supplies supplying abnormal nodes are cut off, and the operator is notified that intervention is required. If F3≤P, the small power supply interlocking capacity is locked to F3.

8. The method for switching off a small power source based on a network backup automatic switching topology power failure according to claim 7 is characterized in that: In step 3, the specific method of regulating the switching of small power sources based on the change of the node state vector is as follows: Real-time monitoring A i The state vectors of all nodes in the network are calculated. If the running state of a node changes, F3 is recalculated and the joint cutting capacity is re-determined. If F3 is a positive number, it means that A i The small power supply that supplies power to the abnormal node in the network is cut off in a joint manner, and the cut-off capacity is F3; If F3 is a negative number, it means that the small power supply that was originally cut off needs to be reconnected to the power-off topology network A. i In the example, the capacity of the connected small power supply is |F3|.

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