Power supply node determination method and device, storage medium and electronic equipment

Abstract

The invention discloses a power supply node determination method and device, a storage medium and electronic equipment. The method comprises the following steps: determining an operation mode representing the working state of a target system; node voltages and branch power flow data corresponding to a plurality of candidate nodes included in the target system are determined, and the branch power flow data represent electric energy transmission characteristics among the candidate nodes; and determining a power supply node of the target system in the plurality of candidate nodes according to the operation mode based on the node voltages and the branch power flow data corresponding to the plurality of candidate nodes. The technical problem that the accuracy of determining the power supply node of the complex power system is not ideal in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems and their automation. Specifically, it relates to a method, device, storage medium, and electronic device for determining a power source node. Background Art

[0002] In the context of the reverse distribution of new energy resources and load centers, the flexible DC transmission technology has been vigorously developed due to its flexible controllability and large-capacity long-distance power transmission, and has become an effective means to promote the grid connection and cross-regional consumption of large-scale centralized new energy. At the same time, the power grid has gradually changed from the traditional AC-based form to a large AC-DC hybrid form. Since the AC-DC hybrid system presents complex and variable control modes, operating characteristics, and topological structures, it is crucial to select different nodes as the power source nodes of the system according to different operating modes of the system to maintain the balance and stability of the system. In the related art, the steady-state power flow distribution of the system is mainly determined through the traditional power flow model, and then the power source nodes of the system are determined, providing initial conditions for the stability assessment, fault analysis, dynamic simulation, power quality, and accident analysis of the system. However, the traditional power flow model has problems such as poor generality, insufficient adaptability, and difficulty in convergence when dealing with complex AC-DC hybrid systems, resulting in the problem of unsatisfactory accuracy in determining the power source nodes of complex power systems.

[0003] In response to the above problems, no effective solution has been proposed yet. Summary of the Invention

[0004] Embodiments of the present application provide a method, device, storage medium, and electronic device for determining a power source node, so as to at least solve the technical problem of unsatisfactory accuracy in determining the power source nodes of complex power systems in the related art.

[0005] According to one aspect of the embodiments of the present application, a method for determining a power source node is provided, including: determining an operating mode representing the working state of a target system; determining the node voltages and branch power flow data respectively corresponding to a plurality of candidate nodes included in the target system, where the branch power flow data represents the power transmission characteristics between the plurality of candidate nodes; and determining the power source nodes of the target system from the plurality of candidate nodes according to the operating mode based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes.

[0006] Optionally, determining the node voltages and branch power flow data respectively corresponding to a plurality of candidate nodes included in the target system includes: determining the network topology structure of the target system; and determining the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes according to the network topology structure.

[0007] Optionally, according to the network topology, determine the node voltages and branch power flow data corresponding to multiple candidate nodes respectively, including: based on the network topology, determine a target power flow model, where the target power flow model is used to determine the power flow distribution strategy of the target system; obtain the electrical parameter data of the target system; based on the electrical parameter data, use the target power flow model to determine the node voltages and branch power flow data corresponding to multiple candidate nodes respectively.

[0008] Optionally, based on the node voltages and branch power flow data corresponding to multiple candidate nodes respectively, determine the power source nodes of the target system according to the operating mode among the multiple candidate nodes, including: obtain the operating data of the target system; based on the operating data, determine the constraint conditions of the target system; based on the node voltages and branch power flow data corresponding to multiple candidate nodes respectively, and the constraint conditions, determine the power source nodes according to the operating mode among the multiple candidate nodes.

[0009] Optionally, based on the operating data, determine the constraint conditions of the target system, including: determine the rated voltage of the target system; based on the rated voltage, determine the upper voltage fluctuation limit and the lower voltage fluctuation limit corresponding to multiple candidate nodes respectively; based on the upper voltage fluctuation limit and the lower voltage fluctuation limit corresponding to multiple candidate nodes respectively, determine the voltage fluctuation amount restricting the power source nodes; based on the voltage fluctuation amount, determine the constraint conditions.

[0010] Optionally, based on the node voltages and branch power flow data corresponding to multiple candidate nodes respectively, and the constraint conditions, determine the power source nodes according to the operating mode among the multiple candidate nodes, including: according to the physical hardware type and function type corresponding to multiple candidate nodes respectively, determine the first nodes among the multiple candidate nodes; in the case where there are multiple first nodes, based on the node voltages and branch power flows corresponding to the multiple first nodes respectively, determine the power source nodes satisfying the constraint conditions from the multiple first nodes.

[0011] Optionally, based on the node voltages and branch power flow data corresponding to multiple candidate nodes respectively, determine the power source nodes of the target system according to the operating mode among the multiple candidate nodes, including: based on the node voltages and branch power flow data corresponding to multiple candidate nodes respectively, determine multiple second nodes according to the operating mode among the multiple candidate nodes; determine the distances between the multiple second nodes and a predetermined load respectively; determine the second node with the minimum distance to the predetermined load among the multiple second nodes as the power source node.

[0012] According to another aspect of the embodiments of the present application, a power supply node determination device is provided, including: an operating mode determination module for determining an operating mode representing the working state of a target system; a data determination module for determining the node voltages and branch power flow data respectively corresponding to a plurality of candidate nodes included in the target system, where the branch power flow data represents the power transmission characteristics between the plurality of candidate nodes; and a power supply node determination module for determining the power supply node of the target system from the plurality of candidate nodes according to the operating mode based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes.

[0013] According to another aspect of the embodiments of the present application, a non-volatile storage medium is provided. The non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded and executed by a processor to perform the power supply node determination method of any one of the above.

[0014] According to another aspect of the embodiments of the present application, an electronic device is provided, including: one or more processors and a memory. The memory is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the power supply node determination method of any one of the above.

[0015] In the embodiments of the present application, by determining an operating mode representing the working state of a target system; determining the node voltages and branch power flow data respectively corresponding to a plurality of candidate nodes included in the target system, where the branch power flow data represents the power transmission characteristics between the plurality of candidate nodes; and determining the power supply node of the target system from the plurality of candidate nodes according to the operating mode based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes. The purpose of determining the power supply nodes of the system in different operating modes by determining the node voltages of each node and the branch power flow in a complex power system is achieved, and the technical effect of improving the accuracy of determining the power supply nodes of a complex power system is realized. Furthermore, the technical problem of unsatisfactory accuracy in determining the power supply nodes of a complex power system existing in the related art is solved. Description of the Drawings

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0017] Figure 1 is a flowchart of an optional power supply node determination method provided according to an embodiment of the present application;

[0018] Figure 2 is a first model diagram of an optional power supply node determination method provided according to an embodiment of the present application;

[0019] Figure 3It is the second model diagram of an optional power node determination method provided according to an embodiment of the present application;

[0020] Figure 4 It is the structural diagram of an optional power node determination method provided according to an embodiment of the present application;

[0021] Figure 5 It is the third model diagram of an optional power node determination method provided according to an embodiment of the present application;

[0022] Figure 6 It is the first result diagram of an optional power node determination method provided according to an embodiment of the present application;

[0023] Figure 7 It is the second result diagram of an optional power node determination method provided according to an embodiment of the present application;

[0024] Figure 8 It is the schematic diagram of an optional power node determination device provided according to an embodiment of the present application. Detailed implementation manners

[0025] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0027] For the convenience of description, some nouns or terms related to the embodiments of the present application are described below:

[0028] VSC (Voltage Source Converter), is one of the key devices in modern power electronics technology for high-voltage direct current transmission and renewable energy integration into the power grid. Compared with traditional current source converters, VSC has advantages such as more flexible power control, faster response speed, and the ability to independently control active power and reactive power.

[0029] AC (Alternating Current), is a periodically changing current, whose magnitude and direction change according to sine or cosine laws over time. In the power system, alternating current is the most common form of power transmission because it can easily change the voltage level using transformers and is suitable for long-distance transmission and distribution.

[0030] DC (Direct Current), compared with AC, the direction of direct current does not change over time and has advantages such as a constant direction, easy control, and low energy loss.

[0031] BFM (Branch Flow Model), is a model in power system power flow calculation. BFM mainly focuses on the power flow on lines (or branches) rather than node injections. The BFM model describes the physical phenomena in the steady-state operation of the power system by considering the power flow and voltage drop of each transmission line in the power system, as well as the active and reactive power balance at nodes.

[0032] According to an embodiment of the present application, a method embodiment of a power source node determination method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0033] Figure 1 is a flowchart of an optional power source node determination method provided according to an embodiment of the present application. As Figure 1 shown, the method includes the following steps:

[0034] Step S102, determine the operating mode representing the working state of the target system;

[0035] It can be understood that according to the working state of the system, the operating mode of the target system is determined, such as island operation mode, fault recovery mode, and load tracking mode, etc. By accurately identifying and classifying the system operating mode, the efficiency and flexibility of power flow calculation of the target system are improved, and the stability and security of the target system are ensured.

[0036] Optionally, the above target system can be an AC-DC hybrid system.

[0037] Optionally, the above-mentioned island operation mode means that when a part of the target system is disconnected from the target system, this part becomes an island system and enters the island operation mode. The island system usually relies on local power sources (i.e., power sources inside the island system, such as diesel generators, energy storage systems, or renewable energy sources) to meet its power demand. The fault recovery mode means that when a fault occurs in the target system, such as a line short circuit, equipment damage, or power supply failure, the target system needs to enter the fault recovery mode. This usually involves quickly isolating the fault area, adjusting the target system configuration, and reallocating power resources to restore power supply as soon as possible. The load tracking mode means that when the load demand changes, the target system needs to be able to quickly adjust the output to match the demand, including increasing or decreasing the power generation, adjusting the control strategy of power electronic devices, and reallocating power between AC and DC systems, etc.

[0038] Step S104, determining the node voltages and branch power flow data respectively corresponding to multiple candidate nodes included in the target system, where the branch power flow data represents the power transmission characteristics between the multiple candidate nodes;

[0039] It can be understood that a power flow calculation is performed on the target system to determine the node voltages and branch power flow data respectively corresponding to multiple candidate nodes in the target system. Among them, the above-mentioned branch power flow data is used to describe the power transmission characteristics between multiple candidate nodes in the target system, such as the active power and reactive power between nodes. By determining the node voltages and branch power flow data respectively corresponding to multiple candidate nodes in the target system, it provides data support for the subsequent determination and optimization decision of the power source nodes of the target system. At the same time, it enables the target system to timely identify potential operation risks, such as overvoltage, overload, etc., so as to take effective measures to ensure the safe and stable operation of the system.

[0040] In an optional embodiment, determining the node voltages and branch power flow data respectively corresponding to multiple candidate nodes included in the target system includes: determining the network topology structure of the target system; according to the network topology structure, determining the node voltages and branch power flow data respectively corresponding to multiple candidate nodes.

[0041] It can be understood that determining the network topology structure of the target system, such as the AC nodes, DC nodes, VSC connection points in the target system, and their connection methods, etc. According to the network topology structure of the target system, determining the node voltages and branch power flow data respectively corresponding to multiple candidate nodes included in the target system. Determining the node voltages and branch power flow data respectively corresponding to multiple candidate nodes according to the network topology structure of the target system effectively improves the efficiency and accuracy of determining the node voltages and branch power flow data, provides strong data support for the optimized operation and fault handling of the target system, and ensures the safety and reliability of the system operation.

[0042] In an alternative embodiment, according to the network topology, determining the node voltages and branch power flows respectively corresponding to a plurality of candidate nodes includes: based on the network topology, determining a target power flow model, where the target power flow model is used to determine the power flow distribution strategy of the target system; obtaining the electrical parameter data of the target system; and based on the electrical parameter data, using the target power flow model to determine the node voltages and branch power flows respectively corresponding to the plurality of candidate nodes.

[0043] It can be understood that according to the network topology of the target system, a target power flow model is determined, such as the Branch Flow Model (BFM). This target power flow model can determine the power transmission characteristics between multiple candidate nodes of the target system, and then determine the power flow distribution strategy of the target system. Obtain the electrical parameter data of the target system, such as reactance, resistance, and VSC modulation degree, etc. According to the above electrical parameter data, using the target power flow model, determine the node voltages and branch power flows respectively corresponding to the multiple candidate nodes of the target system. Determining the target power flow model of the target system according to the network topology can improve the accuracy and efficiency of the calculation results of the node voltages and branch power flows, and then identify and prevent problems such as overvoltage, overload, or network bottlenecks in the system in advance, providing important support for the operation and maintenance of the target system.

[0044] Optionally, for an AC-DC hybrid system (i.e., the target system), the Branch Flow Model (BFM) can be used as the target power flow model to determine the node voltages and branch power flows respectively corresponding to multiple candidate nodes in the target system. The theoretical basis of BFM is the law of conservation of power and Kirchhoff's law. The BFM model takes into account the power conservation of nodes and the power transmission of lines, and connects the nodes in the system through the power transmission of lines.

[0045] Optionally, Figure 2 is the first model diagram of an alternative power supply node determination method provided by an embodiment of the present application. As Figure 2 shown is the schematic diagram of the BFM model. Figure 2 The circuit in it is the AC part in the AC-DC hybrid system. Using the BFM model, an AC system model is constructed to determine the node voltages and branch power flows of the AC part in the AC-DC hybrid system. For Figure 2 any section of the line, the buses at both ends are bus i and bus j respectively, and the voltages of the two buses are U i and U j , and the current flowing through the line (i.e., the branch) ij is I ij . The net injected complex power of any node i in the network is S i , and there is:

[0046]

[0047] Among them, is the injection power of node i, representing the power provided by the power generation device connected to the node, including the system power of the power supply node, the power generated by the distributed generation device, etc. is the power consumed by the load on node i.

[0048] It can be known from Ohm's law that Figure 2 there is a relationship between the voltages of adjacent nodes in

[0049] U i -U j =Z ij I ij (2)

[0050] Among them, Z ij represents the closed state of the line.

[0051] Optionally, if Figure 2 the positive direction of power flow in all lines in ij is from the head end i to the tail end j, then the power S

[0052] S ij =U i I * ij (3)

[0053] Among them, I * ij is the conjugate value of I ij .

[0054] As Figure 2 shown, there is a power conservation relationship for any node i:

[0055]

[0056] Among them, Ω j is the set of child nodes of node j, Λ j is the set of parent nodes of j, k is the kth node, S jk is the power of branch jk, and S j is the apparent power of node j.

[0057] Optionally, using the BFM model, a DC system model is constructed to determine the node voltages and branch power flow data of the DC part in the AC-DC hybrid system.

[0058]

[0059] Among them, P jkis the active power of branch jk, P ij is the active power of branch ij, r ij is the resistance of branch ij, P j is the net injected active power of node j, V i is the voltage of node i, V j is the voltage of node j.

[0060] Optionally, for an AC / DC hybrid system, the VSC can be used to flexibly control the active and reactive powers on both the AC and DC sides, thereby achieving the power flow control of the AC / DC hybrid system. Figure 3 is the second model diagram of an optional power supply node determination method provided according to an embodiment of the present application. As Figure 3 shown, it is the equivalent circuit diagram of the VSC in the AC / DC hybrid system. This equivalent circuit diagram consists of an equivalent impedance and an ideal VSC. Using the BFM model, a commutation system model is constructed to determine the node voltages and branch power flow data of the VSC commutation system part in the AC / DC hybrid system. Figure 3 In, P ak , Q ak and P dk are respectively the active power, reactive power and DC-side active power at the AC-side node k (equivalent to node k by combining the resistance, reactance and ideal VSC), Q ck is the reactive power output of the VSC; U ak is the amplitude of the AC bus voltage; U ck is the amplitude of the internal electromotive force of the VSC equivalent; U dk is the amplitude of the DC bus voltage; R k , X k are respectively the resistance and reactance of the AC line; j represents an imaginary number.

[0061] Optionally, for the power relationship of the VSC equivalent circuit as Figure 3 shown is:

[0062]

[0063] Among them, I k is the current of the AC line.

[0064] The expression of U ck is:

[0065]

[0066] Among them, μ is the DC voltage utilization rate. When the modulation method is space vector pulse width modulation, μ = 0.866; M ck is the modulation degree of the VSC, and its upper and lower limits of values are 1 and 0 respectively.

[0067] Optionally, since The per-unit value processing is performed on Formula (7), and according to the value range of the modulation degree, Formula (7) can be rewritten as:

[0068]

[0069] Among them, M B 、 are the base values of the VSC modulation degree, the AC bus voltage amplitude, and the DC bus voltage amplitude respectively, are the per-unit values of U ck 、U dk respectively.

[0070] Step S106: Based on the node voltages and branch power flow data respectively corresponding to multiple candidate nodes, determine the power source nodes of the target system according to the operation mode among the multiple candidate nodes.

[0071] It can be understood that based on the node voltages and branch power flow data respectively corresponding to multiple candidate nodes, according to the operation mode of the target system, the power source nodes of the target system are determined from the multiple candidate nodes. By analyzing the branch power flow data and node voltages, the power sources can be more reasonably allocated, ensuring the optimal distribution of power in the system, improving the energy efficiency and stability of the entire system. At the same time, by reasonably selecting the power source nodes, potential problems such as overvoltage and overload can be avoided, ensuring that the system can maintain safety and stability under various operation modes.

[0072] Optionally, since all variables in the BFM model are complex numbers, with dual characteristics of amplitude and phase angle, the complex number operation rules are followed during the operation. When performing numerical solution, all equations are stored in the form of matrices. When the elements of the matrix are complex numbers, it will bring great difficulties to the solution. To ensure fast solution, the BFM is relaxed, and the models of the AC system, DC system, and converter system are unified. The convex optimization theory can be used to perform tight relaxation on the BFM model, thereby reducing the numerical solution difficulty of the model while ensuring the accuracy of the model.

[0073] Optionally, the relaxation idea of the BFM model is to introduce the square sum of the variable I sqr current complex number and the square of the V sqr voltage complex number, and rewrite Formulas (1)(2)(3)(4) to obtain the formula:

[0074]

[0075] Among them, x ij is the reactance of branch ij, Q ij is the reactive power of branch ij, Q jk is the reactive power of branch jk, Q j is the net injected reactive power of node j, is the square of the complex current of branch ij, V i sqr is the square of the complex voltage of node i, V j sqr is the square of the complex voltage of node j.

[0076] Performing second-order cone relaxation on the last formula in formula (9), the formula is obtained:

[0077]

[0078] The BFM AC system model after second-order cone relaxation is convex in the mathematical optimization model and is easy to solve.

[0079] Optionally, introduce variable I sqr the sum of the squares of the complex current and V sqr the square of the complex voltage, rewrite formula (5), and the formula is obtained:

[0080]

[0081] Performing second-order cone relaxation on the last formula in formula (11), the formula is obtained:

[0082]

[0083] Optionally, performing second-order cone relaxation on the VSC commutation system model, the equivalent impedance in the VSC can be regarded as a special AC loop. Therefore, the formula can be obtained:

[0084]

[0085] where, P ck is the active power of the VSC, V ak sqr is the square of the complex voltage of the AC bus, V ck sqr is the square of the complex internal voltage of the VSC equivalent, r k is the resistance of the AC line, P k is the active power of the AC line, x k is the reactance of the AC line, Q k is the reactive power of the AC line.

[0086] After performing second-order cone relaxation on the AC system model, DC system model, and VSC commutation system model, the AC system, DC system, and commutation system all have similar model structures, which is convenient for the subsequent solution process.

[0087] Optionally, to achieve the unification of the AC-DC-VSC part, the AC-DC hybrid system model composed of the AC system model, the DC system model, and the VSC commutation system model is unified. The first two equations in formulas (9), (11), and (13) can be transformed into an equation constraint matrix representation in the unified form of Ky = k, where K is the selection parameter matrix, y is the column vector of optimization variables, and k is the constant term of the equation constraint. Then the formula can be obtained:

[0088]

[0089] k = [0,0] T (16)

[0090] where Diag(f) represents a diagonal matrix with variable f as the element, and the variables represented by each symbol are all column vectors. In formulas (14), (15), and (16), the number of parameter nodes of the given system is N N , the system lines are N L , P ij , Q ij , The dimension of V i sqr The dimension of α and β are the incidence matrices reflecting the relationship between the parent node and the child node respectively, and the dimension is P load is the active power of the load, Q load is the reactive power of the load, R is the system resistance matrix, and X is the system reactance matrix.

[0091] Optionally, to achieve the unification of the AC-DC-VSC part, it is necessary to correct the corresponding elements in Diag(R), Diag(X), and α-β. The correction idea is that for the matrices Diag(R) and Diag(X), the elements in the corresponding VSC nodes are modified to the equivalent resistance value and equivalent reactance value in the VSC equivalent circuit; for the VSC nodes in α-β, the corresponding element 1 needs to be magnified three times. When the AC-DC power conversion represented by the ideal VSC link is considered, since the AC system model, the AC system model, the commutation system model, and the AC-DC hybrid system model are calculated based on the single-phase values of the three-phase symmetrical network, but after the DC link, there is no three-phase line in the DC system, so the corresponding elements in the incidence matrices α and β need to be corrected accordingly.

[0092] In an alternative embodiment, based on the node voltages and branch power flow data respectively corresponding to multiple candidate nodes, the power supply node of the target system is determined according to the operation mode among the multiple candidate nodes, including: obtaining the operation data of the target system; determining the constraint conditions of the target system based on the operation data; and determining the power supply node according to the operation mode among the multiple candidate nodes based on the node voltages and branch power flow data respectively corresponding to the multiple candidate nodes and the constraint conditions.

[0093] It can be understood that the operation data of the target system, such as current, voltage, and power, etc., are obtained. According to the above operation data, the constraint conditions of the target system, such as the voltage fluctuation amount constraint, are determined. According to the node voltages and branch power flow data respectively corresponding to the multiple candidate nodes and the constraint conditions, the power supply node of the target system is determined from the multiple candidate nodes according to the operation mode. According to the operation mode and the constraint conditions, the selection of the power supply node can be optimized, so as to realize the optimal allocation of system resources, including power scheduling, voltage control, etc., to improve the overall stability and operation efficiency of the system.

[0094] In an alternative embodiment, determining the constraint conditions of the target system based on the operation data includes: determining the rated voltage of the target system; determining the upper voltage fluctuation limit and the lower voltage fluctuation limit respectively corresponding to the multiple candidate nodes based on the rated voltage; determining the voltage fluctuation amount restricting the power supply node based on the upper voltage fluctuation limit and the lower voltage fluctuation limit respectively corresponding to the multiple candidate nodes; and determining the constraint conditions based on the voltage fluctuation amount.

[0095] It can be understood that determining the rated voltage of the target system is the standard voltage value set to ensure the safe operation of the target system. According to the rated voltage of the target system, the allowable voltage fluctuation range of the node voltages respectively corresponding to the multiple candidate nodes is determined, and according to the above allowable voltage fluctuation range, the upper voltage fluctuation limit and the lower voltage fluctuation limit respectively corresponding to the multiple candidate nodes are determined. According to the above upper voltage fluctuation limit and the lower voltage fluctuation limit, the voltage fluctuation amount restricting the voltage of the power supply node is determined, and according to this voltage fluctuation amount, the constraint conditions of the target system are determined. By setting a strict voltage fluctuation range, it is ensured that in any operation mode, the voltage level in the system remains within a safe and acceptable range, avoiding overvoltage or undervoltage events, thereby protecting electrical equipment and improving the power supply quality.

[0096] Optionally, the traditional power flow model needs to select a reference node as the balancing node for the power flow calculation of the entire system at the beginning of the calculation. When there are multiple power sources in the system, it is necessary to convert other power sources into other types of nodes. However, in an AC-DC hybrid system, the system operation modes are flexible and diverse, the power flow paths are complex, and the system power sources do not come from only one power source. The system power may come from the busbars of power stations at different spatial positions; when there are islanded operation areas in the system, the load power demand in the islanded area is provided by the island power source; at the same time, in some extreme cases, the VSC can act as a power support node and play the role of a "power source node". Therefore, the traditional power flow model cannot be applied to the applicability problems brought about by the flexible operation modes in the scenario of multiple power sources and multiple subsystems in the AC-DC system. The above problems can be solved by constructing the voltage fluctuation quantity constraints. Since there are different types of power source nodes in the AC-DC hybrid system, the corresponding voltage fluctuation quantity constraints are written separately. The formula for the voltage fluctuation quantity constraints is:

[0097]

[0098] Among them, is the fluctuation variable of the power source node, which replaces the basic voltage value identification form in the form of a fluctuation interval, and at the same time adopts the square format to achieve smooth interaction with the AC-DC hybrid system model. and E AC represent the upper and lower bounds of the fluctuation limit interval of the AC system node, and E DC represent the upper and lower bounds of the fluctuation limit interval of the DC system node, U i is the voltage of node i, U N is the rated voltage of the AC-DC hybrid system, is the node in the AC-DC hybrid system where a distributed power source is connected, is the rated voltage of the AC system in the AC-DC hybrid system, is the AC node connected to the VSC, is the rated voltage of the DC system in the AC-DC hybrid system, is the DC node connected to the VSC. Z uac 、Z GF 、Z udc are the voltage node power support identifiers, which are respectively applicable to the flexible voltage nodes in the AC system, the island system, and the DC system. When the node attribute is a "power source node", the value of this identifier is 1; when it is a non-power source node, the value of this variable is 0. The value of this part comes from the incidence matrices α and β reflecting the relationship between the parent node and the child node in formula (14).

[0099] The formulas for the upper and lower bounds of the fluctuation limit interval are:

[0100]

[0101] Among them, χ ac and δ ac respectively represent the lower limit coefficient and upper limit coefficient of the safety voltage of the AC system in the AC-DC hybrid system; χ dc and δ dc respectively represent the lower limit coefficient and upper limit coefficient of the safety voltage of the DC system in the AC-DC hybrid system. The above coefficients and the rated voltage value of the system can all be assigned according to the actual voltage level and operation requirements of the system.

[0102] In an alternative embodiment, based on the node voltages and branch power flow data respectively corresponding to multiple candidate nodes, and constraint conditions, a power supply node is determined among the multiple candidate nodes according to the operation mode, including: determining a first node among the multiple candidate nodes according to the physical hardware type and functional type respectively corresponding to the multiple candidate nodes; in the case where there are multiple first nodes, based on the node voltages and branch power flows respectively corresponding to the multiple first nodes, a power supply node that meets the constraint conditions is determined from the multiple first nodes.

[0103] It can be understood that according to the physical hardware type and functional type respectively corresponding to the multiple candidate nodes in the target system, a first node with the ability to be a power supply is determined from the above multiple candidate nodes. If the number of the first nodes is not unique, then according to the node voltages and branch power flows respectively corresponding to the multiple first nodes, a node that meets the constraint conditions is determined from the multiple first nodes as the power supply node. By screening the first nodes according to the physical hardware and functional types of the nodes, it is ensured that the selected power supply node can provide corresponding power support and meet the basic requirements of system operation.

[0104] In an alternative embodiment, based on the node voltages and branch power flow data respectively corresponding to multiple candidate nodes, a power supply node of the target system is determined among the multiple candidate nodes according to the operation mode, including: determining multiple second nodes among the multiple candidate nodes according to the node voltages and branch power flow data respectively corresponding to the multiple candidate nodes; determining the distances between the multiple second nodes and a predetermined load respectively; determining, among the multiple second nodes, the second node with the smallest distance from the predetermined load as the power supply node.

[0105] It can be understood that according to the node voltages and branch power flow data respectively corresponding to multiple candidate nodes, multiple second nodes suitable as power source nodes are determined from the multiple candidate nodes according to the operation mode, for example, having stable voltage, sufficient power support capacity, and good network connectivity, etc. According to the positions of the second nodes, the distances between the second nodes and the predetermined load are determined. The node with the smallest distance between the second nodes and the predetermined load is used as the power source node. By selecting the node with the smallest distance as the power source node, the power transmission loss from the power source to the load can be minimized, the energy transmission efficiency of the power system can be improved. At the same time, the power source node with the smallest distance can provide a more stable voltage, reduce the voltage fluctuation caused by long-distance transmission, and improve the voltage quality in the power system.

[0106] Optionally, if the nodes satisfying the constraint conditions determined from the above multiple first nodes according to the operation mode are not unique (i.e., there are multiple third nodes), the distances between the multiple third nodes and the predetermined load can be further determined, and the one with the smallest distance is selected as the power source node.

[0107] Through the above step S102, the operation mode representing the working state of the target system is determined; step S104, the node voltages and branch power flow data respectively corresponding to multiple candidate nodes included in the target system are determined, where the branch power flow data represents the power transmission characteristics between the multiple candidate nodes; step S106, based on the node voltages and branch power flow data respectively corresponding to the multiple candidate nodes, the power source node of the target system is determined according to the operation mode in the multiple candidate nodes. It can achieve the purpose of determining the power source node of the system under different operation modes by determining the node voltages and branch power flows of each node in the complex power system, and achieve the technical effect of improving the accuracy of determining the power source node of the complex power system, thereby solving the technical problem of unsatisfactory accuracy in determining the power source node of the complex power system in the related art.

[0108] Based on the above embodiments and optional embodiments, the present application proposes an optional implementation manner. Through the above embodiments, it is possible to select a power source node for a complex AC-DC hybrid system (i.e., the target system) according to the operation mode.

[0109] In the context of large-scale grid connection of new energy, VSC has become an effective means to solve the shortage of transmission capacity and promote the grid connection of centralized new energy. However, the vigorous development of flexible DC transmission projects has exacerbated the complexity of the operation and control of AC-DC transmission grids, posing new requirements for the power flow analysis of hybrid (i.e., AC-DC hybrid) transmission systems.

[0110] The above optional implementation is used to model the mathematical optimization problem of an AC-DC hybrid power distribution system (i.e., an AC-DC hybrid system), to solve the problem that the mathematical models in different systems are not universal in traditional power flow models, and the adaptability problem brought by the flexible operation mode (i.e., operation pattern) of the traditional power flow calculation model that cannot be applied to the multi-source and multi-subsystem scenario of the AC-DC hybrid system. Through principle equivalence and port connection, the power flow equations of the three parts of this AC-DC hybrid system model can be calculated uniformly, and through the flexible selection mechanism of power source nodes, it is convenient to solve mathematical problems and improve the model solving efficiency. Figure 4 is a structural diagram of an optional power source node determination method provided according to an embodiment of the present application, as Figure 4 shown. The construction process of the AC-DC hybrid system model and the selection process of power source nodes are specifically as follows.

[0111] Step S1, the physical models of each part in the AC-DC hybrid system.

[0112] There are various methods for power flow calculation in power systems, which are used to handle decision-making problems in power systems, such as Optimal Power Flow (OPF), Unit Scheduling Problem (USP), Reactive Power Optimization (RPO), etc. For the convenience of variable expression and problem standardization transformation in the iterative solution process of optimization problems in this optional implementation, the Branch Flow Model (BFM) is adopted for the power flow calculation part.

[0113] Step S11, the physical model of the AC system (i.e., the AC system model).

[0114] The theoretical basis of BFM is the law of conservation of power and Kirchhoff's law. The BFM model takes into account the power conservation of nodes and power transmission on lines, and connects the nodes in the system through power transmission on lines. For Figure 2 as shown in the BFM model, for any section of line, the buses at both ends are bus i and bus j respectively, and the voltages of the two buses are U i and U j , and the current flowing through line (i.e., branch) ij is I ij . The net injected complex power of any node i in the network is S i , and there is:

[0115]

[0116] Among them, The injection power of node \(i\), which represents the power provided by the power generation devices connected to the node, includes the system power of the power supply node, the power generated by distributed generation devices, etc. is the power consumed by the load on node \(i\).

[0117] According to Ohm's law, Figure 2 there is a relationship between the voltages of adjacent nodes in:

[0118] U i -U j =Z ij I ij (2)

[0119] where \(Z\) ij represents the closed state of the line.

[0120] If Figure 2 the positive direction of power flow in all lines in is from the head end \(i\) to the tail end \(j\), then the power \(S\) at the head section of branch \(ij\) ij is:

[0121] S ij =U i I * ij (3)

[0122] where \(I\) * ij is the conjugate value of \(I\) ij .

[0123] As Figure 2 shown, there is a power conservation relationship for any node \(i\):

[0124]

[0125] where \(\Omega\) j is the set of child nodes of node \(j\), \(\Lambda\) j is the set of parent nodes of \(j\), \(k\) is the \(k\)th node, \(S\) jk is the power of branch \(jk\), \(S\) j is the apparent power of node \(j\).

[0126] Step S12, the physical model of the DC system (i.e., the DC system model).

[0127] Using the BFM model, construct the DC system model:

[0128]

[0129] where \(P\) jk is the active power of branch \(jk\), \(P\) ij is the active power of branch \(ij\), \(r\) ij is the resistance of branch \(ij\), \(P\)j is the active power of the net injection for node j, V i is the voltage of node i, V j is the voltage of node j.

[0130] Step S13, the calculation model of the AC-DC connection part (i.e., the converter system model).

[0131] In the AC-DC hybrid system, the VSC is used to flexibly control the active and reactive powers on both the AC and DC sides, and then the power flow control of the AC-DC hybrid system is realized. As Figure 3 shown in the equivalent circuit diagram of the VSC in the AC-DC hybrid system, this equivalent circuit diagram consists of an equivalent impedance and an ideal VSC. Figure 3 In, P ak , Q ak and P dk are the active power, reactive power, and DC-side active power at the AC-side node k (i.e., the resistor, inductor, and ideal VSC are equivalent to node k), respectively, and Q ck is the reactive power output of the VSC; U ak is the amplitude of the AC bus voltage; U ck is the amplitude of the internal electromotive force of the VSC equivalent; U dk is the amplitude of the DC bus voltage; R k , X k are the resistance and reactance of the AC line, respectively.

[0132] For the power relationship of the VSC equivalent circuit as Figure 3 shown:

[0133]

[0134] where, I k is the current of the AC line.

[0135] The expression of U ck is:

[0136]

[0137] where, μ is the DC voltage utilization rate. When the modulation method is space vector pulse width modulation, μ = 0.866; M ck is the modulation degree of the VSC, and its upper and lower limits of the value are 1 and 0, respectively.

[0138] Since perform per-unit system processing on formula (7), and according to the value range of the modulation degree, formula (7) can be rewritten as:

[0139]

[0140] where, M B , They are the reference values of the VSC modulation degree, the AC bus voltage amplitude, and the DC bus voltage amplitude respectively, which are the per-unit values of U ck and U dk respectively.

[0141] Step S2: Establishment and programming method of the unified power flow calculation model of the AC-DC hybrid system (i.e., the AC-DC hybrid system model).

[0142] Step S21: Establishment of the unified power flow calculation model of the AC-DC hybrid system.

[0143] Since all variables in the BFM model (DC system model, AC system model, and converter system model) in S1 are complex numbers, with dual characteristics of amplitude and phase angle, they follow the complex number operation rules during operation. When performing numerical solutions, all equations are stored in matrix form. When the elements of the matrix are complex numbers, it will bring great difficulties to the solution. To ensure fast solution, this application relaxes the BFM and unifies the DC system model, AC system model, and converter system model in S1. Using convex optimization theory, the BFM model is tightly relaxed to reduce the numerical solution difficulty of the model while ensuring the model accuracy.

[0144] The relaxation idea of the BFM model is to introduce variables I sqr the sum of the squares of the complex current and V sqr the square of the complex voltage, and rewrite formulas (1), (2), (3), and (4) to obtain the formula:

[0145]

[0146] where x ij is the reactance of branch ij, Q ij is the reactive power of branch ij, Q jk is the reactive power of branch jk, Q j is the net injected reactive power at node j, is the square of the complex current of branch ij, V i sqr is the square of the complex voltage at node i, V j sqr is the square of the complex voltage at node j.

[0147] Perform second-order cone relaxation on the last formula in formula (9) to obtain the formula:

[0148]

[0149] The AC system model after second-order cone relaxation is convex in the mathematical optimization model and is easy to solve.

[0150] Introduce variable I sqr The sum of the squares of the complex current and V sqr The square of the complex voltage, rewrite formula (5) to obtain the formula:

[0151]

[0152] Perform second-order cone relaxation on the last formula in formula (11) to obtain the formula:

[0153]

[0154] For the VSC commutation system model, perform second-order cone relaxation, then the equivalent impedance in the VSC can be regarded as a special AC loop. Therefore, the formula can be obtained:

[0155]

[0156] Among them, P ck is the active power of the VSC, V ak sqr is the square of the complex voltage of the AC bus, V ck sqr is the square of the complex internal voltage of the VSC equivalent, r k is the resistance of the AC line, P k is the active power of the AC line, x k is the reactance of the AC line, Q k is the reactive power of the AC line.

[0157] After performing second-order cone relaxation on the AC system model, DC system model, and VSC commutation system model, the AC system, DC system, and commutation system all have similar model structures.

[0158] Step S22, the programming method of the unified power flow calculation model of the AC-DC hybrid system.

[0159] When writing the mathematical optimization model, the writing logic is as follows:

[0160] To achieve the unification of the AC-DC-VSC part, perform unified processing on the AC-DC hybrid system model composed of the AC system model, DC system model, and VSC commutation system model. For the first two equalities in formulas (9), (11), and (13), convert them into the unified Ky = k form of the equality constraint matrix representation, where K is the selection parameter matrix, y is the column vector of the optimization variable, and k is the constant term of the equality constraint. Then the formula can be obtained:

[0161]

[0162] k = [0,0] T (16)

[0163] Among them, Diag(f) represents a diagonal matrix with the variable f as an element, and the variables represented by each symbol are all column vectors. In formulas (14), (15), and (16), the number of parameter nodes for a given system is N N , the system line is N L , P ij , Q ij , The dimension of V i sqr The dimension of α and β are respectively the incidence matrices reflecting the relationship between the parent node and the child node, and the dimension is P load is the active power of the load, Q load is the reactive power of the load, R is the system resistance matrix, and X is the system reactance matrix.

[0164] To achieve the unification of the AC-DC-VSC part, it is necessary to correct the corresponding elements in Diag(R), Diag(X), and α-β. The correction idea is that for the matrices Diag(R) and Diag(X), the elements in the corresponding VSC nodes are modified to the equivalent resistance value and equivalent reactance value in the VSC equivalent circuit; for the VSC nodes in α-β, the corresponding element 1 needs to be magnified three times. When the AC-DC power conversion represented by the ideal VSC link is performed, since the calculation models established in S1 and S2 are based on the single-phase values of a three-phase symmetrical network, but after the DC link, there is no three-phase line in the DC system, so it is necessary to make corresponding corrections to the corresponding elements in the incidence matrices α and β.

[0165] Step S23, establishment of the second-order cone constraint part.

[0166] In addition to the equality constraints, the second-order cone parts in the AC and DC power flow calculation models can also be written as two sets of inequality constraints in the form, where is a system of linear equations, corresponding to the column vectors and, is the selection vector of the right-side expression of the inequality, and is the constant term, which is 0 here.

[0167] S22 and S23 together constitute the programming method of the unified power flow calculation model for the AC-DC hybrid system.

[0168] Step S3, flexible selection mechanism for power source nodes.

[0169] Traditional power flow calculation models need to select a reference node as the balancing node for the power flow calculation of the entire system at the beginning of the calculation. When there are multiple power sources in the system, it is necessary to convert other power sources into other types of nodes. However, in AC-DC hybrid systems, the system operation modes are flexible and diverse, the power flow paths are complex, and the system power sources do not come from just one power source. The system power may come from the busbars of power stations at different spatial positions; when there are islanded operation areas in the system, the load power demand within the islanded area is provided by island power sources; meanwhile, in some extreme cases, the VSC can act as a power support node and play the role of a "power source node".

[0170] Therefore, traditional power flow calculation models cannot be applied to the applicability problems brought about by the flexible operation modes in the scenarios of multiple power sources and multiple subsystems in AC-DC systems. This alternative implementation proposes a flexible selection mechanism for power source nodes to solve the above problems. Cooperating with the unified power flow calculation model in S2, it can achieve flexible modeling of power flow constraints in the optimization problem of AC-DC hybrid distribution systems.

[0171]

[0172] Among them, is the fluctuation variable of the power source node, which replaces the basic voltage value identification form with a fluctuation interval form, and at the same time adopts a square format to achieve smooth interaction with the AC-DC hybrid system model. and E AC represent the supremum and infimum of the AC system node fluctuation limit interval, and E DC represent the supremum and infimum of the DC system node fluctuation limit interval, U i is the voltage of node i, U N is the rated voltage of the AC-DC hybrid system, is the node in the AC-DC hybrid system where a distributed power source is connected, is the rated voltage of the AC system in the AC-DC hybrid system, is the AC node connected to the VSC, is the rated voltage of the DC system in the AC-DC hybrid system, is the DC node connected to the VSC. Z uac 、Z GF 、Z udc are the voltage node power support identifiers, which are respectively applicable to flexible voltage nodes in the AC system, island system, and DC system. When the node attribute is a "power source node", the value of this identifier is 1; when it is a non-power source node, the value of this variable is 0. The values of this part are from the incidence matrices α and β reflecting the relationship between parent nodes and child nodes in formula (14).

[0173] The formulas for the supremum and infimum of the fluctuation limit interval are as follows:

[0174]

[0175] Among them, χ ac and δ ac respectively represent the lower limit coefficient and the upper limit coefficient of the safety voltage of the AC system in the AC-DC hybrid system; χ dc and δ dc respectively represent the lower limit coefficient and the upper limit coefficient of the safety voltage of the DC system in the AC-DC hybrid system. The above coefficients and the rated voltage value of the system can all be assigned according to the actual voltage level and operation requirements of the system.

[0176] Based on the flexible selection mechanism of the S3 power supply node and the unified power flow calculation models of S1 and S2, the integrity and flexibility of the power flow constraints in the AC-DC hybrid system can be achieved.

[0177] Using the unified power flow calculation model of the AC-DC hybrid system proposed in the above optional implementation manner, the fault reconstruction program of the AC-DC hybrid power distribution system is written. The power flow calculation part in the program is written according to the above optional implementation manner. The function of the fault reconstruction program is to generate the reconstructed line topology after specifying the faulty line.

[0178] Figure 5 is the third model diagram of an optional power supply node determination method provided according to an embodiment of the present application. As Figure 5 shown, it is the line topology structure, with a total of 71 nodes. Nodes 27, 32, 53, and 58 can be used as distributed energy sources of the island power supply. There are 10 tie switches and 80 operable lines configured in the network. Figure 5 The horizontal line between two nodes in

[0179] Figure 6 is the first result diagram of an optional power supply node determination method provided according to an embodiment of the present application. As Figure 6 shown, it is the fault self-healing solution obtained after the system shown in Figure 5 has a fault. The dotted line indicates the disconnected line, and the solid line indicates the closed line. From Figure 6As can be seen from the network topology, the connection switches 37 and 80 are closed, and the substation bus power supplies 1 and 71 (i.e., node 1 and node 71) are coordinated to supply power to the power-off loads of the network. Nodes 5, 6, 24, 25, 26, 27, 28, and 29 form an island for fault recovery, where node 27 serves as the island power source. In addition, local islands are formed around nodes 32, 53, and 58 to achieve fault recovery in a larger range. The self-healing scheme of the system meets the requirements of the open-loop operation of the distribution network, demonstrating the rationality and feasibility of the above optional implementation manners.

[0180] Figure 7 is the second result diagram of an optional power node determination method provided according to an embodiment of the present application. As Figure 7 shown in Figure 5 is the system node voltage distribution diagram corresponding to the fault self-healing scheme obtained after a fault occurs in the system. As Figure 7 shown, the voltages of all nodes are maintained within the node fluctuation limit range (i.e., meeting the voltage fluctuation constraint, taking 0.95 - 1.05). The abscissa represents the node number, and the ordinate represents the voltage. Figure 7 In the left figure in

[0181] are the node voltages of five DC nodes 34, 35, 36, 37, and 38, and in the right figure are the node voltages of AC nodes. Among them, the "power nodes" 1, 27, and 32 all maintain the system reference voltage (per-unit value 1.0 p.u.). This shows that the flexible power node selection mechanism proposed in the present application can cooperate with the unified power flow calculation model to achieve precise and safe control of the system voltage.

[0182] In summary, the above optional implementation manners are based on the BFM model. By transforming and unifying the calculation models of AC, DC, and connection parts in the AC-DC hybrid system, and combining the proposed flexible power node selection mechanism, a unified flexible power flow calculation model is constructed. And a complete program writing logic and implementation results are proposed for solving various mathematical optimization problems of the AC-DC hybrid system.

[0183] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0184] In this embodiment, a power node determination device is further provided. This device is used to implement the above-mentioned embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the terms "module" and "device" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0185] According to an embodiment of the present application, an apparatus embodiment for implementing a power node determination method is further provided. Figure 8 It is a schematic diagram of a power node determination device according to an embodiment of the present application, as Figure 8 shown. The above-mentioned power node determination device includes an operating mode determination module 802, a data determination module 804, and a power node determination module 806. The device will be described below.

[0186] The operating mode determination module 802 is used to determine the operating mode representing the working state of the target system.

[0187] The data determination module 804 is connected to the operating mode determination module 802 and is used to determine the node voltages and branch power flow data corresponding to multiple candidate nodes included in the target system, where the branch power flow data represents the power transmission characteristics between multiple candidate nodes.

[0188] The power node determination module 806 is connected to the data determination module 804 and is used to determine the power nodes of the target system from multiple candidate nodes according to the operating mode based on the node voltages and branch power flow data corresponding to multiple candidate nodes respectively.

[0189] In the power node determination device provided by the embodiment of the present application, by setting the operating mode determination module 802 to determine the operating mode representing the working state of the target system; the data determination module 804, which is connected to the operating mode determination module 802, is used to determine the node voltages and branch power flow data corresponding to multiple candidate nodes included in the target system, where the branch power flow data represents the power transmission characteristics between multiple candidate nodes; the power node determination module 806, which is connected to the data determination module 804, is used to determine the power nodes of the target system from multiple candidate nodes according to the operating mode based on the node voltages and branch power flow data corresponding to multiple candidate nodes respectively. The purpose of determining the power nodes of the system in different operating modes by determining the node voltages and branch power flows of each node in a complex power system is achieved, and the technical effect of improving the accuracy of determining the power nodes of a complex power system is realized, thereby solving the technical problem of unsatisfactory accuracy in determining the power nodes of a complex power system in the related art.

[0190] It should be noted that the above-mentioned modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above-mentioned modules can be located in the same processor; or, the above-mentioned modules can be located in different processors in any combination.

[0191] It should be noted here that the above-mentioned operation mode determination module 802, data determination module 804, and power supply node determination module 806 correspond to steps S102 to S106 in the embodiment. The examples and application scenarios implemented by the above-mentioned modules and the corresponding steps are the same, but are not limited to the content disclosed in the above-mentioned embodiment. It should be noted that the above-mentioned modules can run in a computer terminal as part of the device.

[0192] It should be noted that the optional or preferred implementation manners of this embodiment can be referred to the relevant descriptions in the embodiment, and will not be repeated here.

[0193] The above-mentioned power supply node determination device may further include a processor and a memory. The operation mode determination module 802, data determination module 804, power supply node determination module 806, etc. are all stored in the memory as program units, and the corresponding functions are implemented by the processor executing the above program units stored in the memory.

[0194] The processor includes a kernel, and the kernel retrieves the corresponding program unit from the memory. One or more kernels can be set. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of, for example, read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one storage chip.

[0195] The embodiment of the present application provides a non-volatile storage medium, on which a program is stored, and when the program is executed by a processor, a power supply node determination method is implemented.

[0196] The embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program stored on the memory and executable on the processor. When the processor executes the program, the following steps are implemented: determining an operation mode representing the working state of the target system; determining the node voltages and branch power flow data respectively corresponding to a plurality of candidate nodes included in the target system, where the branch power flow data represents the electrical energy transmission characteristics between the plurality of candidate nodes; based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes, determining the power supply node of the target system according to the operation mode among the plurality of candidate nodes. The device herein can be a server, a PC, etc.

[0197] The present application also provides a computer program product which, when executed on a data processing device, is adapted to execute a program initialized with the following method steps: determining an operating mode representing the working state of a target system; determining the node voltages and branch power flow data respectively corresponding to a plurality of candidate nodes included in the target system, wherein the branch power flow data represents the power transmission characteristics between the plurality of candidate nodes; and determining a power source node of the target system from the plurality of candidate nodes according to the operating mode based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes.

[0198] Those skilled in the art should understand that the embodiments of the present application may be provided as a method, a system, or a computer program product. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0199] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0200] These computer program instructions can also be stored in a computer-readable memory capable of guiding the computer or other programmable data processing devices to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0201] These computer program instructions can also be loaded onto the computer or other programmable data processing devices, such that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, so that the instructions executed on the computer or other programmable devices provide steps for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0202] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0203] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0204] Computer-readable media includes both permanent and non-permanent, removable and non-removable media implemented by any method or technology for information storage. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transitory media that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0205] It should also be noted that the term "comprising", "including", or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a series of elements includes not only those elements but also other elements not expressly listed, or elements that are inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprising a..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0206] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0207] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for determining a power supply node, characterized in that, including: determining an operating mode indicating the working state of a target system; determining node voltages and branch power flow data respectively corresponding to a plurality of candidate nodes included in the target system, wherein the branch power flow data represents the electrical energy transmission characteristics between the plurality of candidate nodes; based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes, determining a power supply node of the target system according to the operating mode among the plurality of candidate nodes.

2. The method according to claim 1, wherein The determining the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes included in the target system includes: determining a network topology structure of the target system; according to the network topology structure, determining the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes.

3. The method according to claim 2, wherein The according to the network topology structure, determining the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes includes: based on the network topology structure, determining a target power flow model, wherein the target power flow model is used to determine a power flow distribution strategy of the target system; acquiring electrical parameter data of the target system; based on the electrical parameter data, using the target power flow model to determine the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes.

4. The method according to claim 1, characterized in that The based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes, determining the power supply node of the target system according to the operating mode among the plurality of candidate nodes includes: acquiring operating data of the target system; based on the operating data, determining constraint conditions of the target system; based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes and the constraint conditions, determining the power supply node according to the operating mode among the plurality of candidate nodes.

5. The method according to claim 4, wherein The based on the operating data, determining the constraint conditions of the target system includes: determining a rated voltage of the target system; based on the rated voltage, determining an upper bound and a lower bound of voltage fluctuations respectively corresponding to the plurality of candidate nodes; based on the upper bound and the lower bound of voltage fluctuations respectively corresponding to the plurality of candidate nodes, determining a voltage fluctuation amount for restricting the power supply node; based on the voltage fluctuation amount, determining the constraint conditions.

6. The method according to claim 4, wherein The based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes and the constraint conditions, determining the power supply node according to the operating mode among the plurality of candidate nodes includes: determining a first node among the plurality of candidate nodes according to the physical hardware types and function types respectively corresponding to the plurality of candidate nodes; in the case where there are multiple first nodes, based on the node voltages and branch power flow corresponding to the multiple first nodes respectively, determining the power supply node that meets the constraint conditions from the multiple first nodes.

7. The method according to any one of claims 1 to 6, characterized in that The based on the node voltages and branch power flow data respectively corresponding to the plurality of candidate nodes, determining the power supply node of the target system according to the operating mode among the plurality of candidate nodes includes: Based on the node voltages and branch power flow data respectively corresponding to the multiple candidate nodes, determine multiple second nodes among the multiple candidate nodes according to the operating mode; Determine the distances between the multiple second nodes and a predetermined load respectively; Determine, among the multiple second nodes, the second node with the smallest distance from the predetermined load as the power supply node.

8. A power supply node determination device, characterized in that, Comprising: An operating mode determination module, configured to determine an operating mode representing the working state of the target system; A data determination module, configured to determine the node voltages and branch power flow data respectively corresponding to the multiple candidate nodes included in the target system, wherein the branch power flow data represents the power transmission characteristics between the multiple candidate nodes; A power supply node determination module, configured to determine the power supply node of the target system based on the node voltages and branch power flow data respectively corresponding to the multiple candidate nodes, and according to the operating mode, among the multiple candidate nodes; 9. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores multiple instructions, and the instructions are adapted to be loaded and executed by a processor to perform the power supply node determination method according to any one of claims 1 to 7.

10. An electronic device, characterized in that, Comprising: One or more processors and a memory, the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the power supply node determination method according to any one of claims 1 to 7.

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