Construction of a power system contingency regulation model, contingency regulation method and device

Abstract

The present invention relates to the technical field of power systems, and discloses a method, device and equipment for constructing a power system contingency fault regulation model and a fault regulation method. The method for constructing a power system contingency fault regulation model provided by the present invention, when determining a power system candidate fault set, flexibly constructs diverse power system candidate fault scenarios by adjusting power system candidate fault type parameters, including scenarios involving only power grid faults, scenarios involving only communication network faults, and scenarios of hybrid faults of the two networks. Moreover, when generating a hybrid fault set of the two networks, it avoids the problem in the prior art that the generated fault types are not rich enough and determining communication network faults based on power grid faults leads to omission of some high-risk hybrid faults of the two networks. The power system contingency fault regulation model module constructed based on the power system candidate fault set can meet the regulation requirements under complex fault scenarios.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and particularly to the construction of a power system contingency regulation model, and a contingency regulation method and device. Background Art

[0002] Modern power systems have evolved into cyber-physical systems with deep integration of power grids and communication networks. The wide application of information and communication technologies in the operation and control of power systems has, on the one hand, greatly improved the automation and intelligence levels of the entire system, achieving real-time dynamic perception and precise and flexible control of power grids. On the other hand, faults occurring in either the power grid or the communication network may spread and amplify across networks through the cyber-physical coupling mechanism, even causing serious chain accidents, and targeted prevention measures must be taken. Therefore, the contingency analysis of cyber-physical integrated power systems not only needs to consider traditional power grid faults, but also analyze the impact of communication network faults on the operation of power grids, so as to screen out high-risk faults under the background of cyber-physical integration and formulate corresponding contingency regulation strategies in advance.

[0003] In related technologies, when generating a contingency set for a cyber-physical integrated power system, generally only hybrid faults of the power and communication networks are considered, and only transmission line faults are considered when considering faults in the power grid, resulting in an incomplete set of fault scenarios for the power system contingency set and unable to meet the regulation requirements under complex fault scenarios. Summary of the Invention

[0004] In view of this, the present invention provides a method and device for constructing a power system contingency regulation model and contingency regulation, to solve the problem that the types of faults in the power system contingency set in related technologies are not comprehensive enough and cannot meet the regulation requirements under complex fault scenarios.

[0005] In a first aspect, the present invention provides a method for constructing a power system contingency regulation model, the method comprising: obtaining a communication network contingency set, a power grid contingency set of a power system, and contingency type parameters of the power system, the contingency type parameters being used to characterize the type of fault, the type of fault including a first type that only considers power grid contingencies, a second type that only considers communication network contingencies, and a third type that considers both power grid contingencies and communication network contingencies; constructing a power system contingency set based on the contingency type parameters, the communication network contingency set, and the power grid contingency set, the power system contingency set including first fault scenario information corresponding to different fault scenarios; determining corresponding contingency regulation information using each piece of first fault scenario information; associating each piece of first fault scenario information with the contingency regulation information to obtain a power system contingency regulation model.

[0006] The method for constructing a power system contingency regulation model provided by the present invention constructs a power system contingency set based on candidate fault type parameters, a candidate fault set of the communication network, and a candidate fault set of the power network. The candidate fault type parameters are used to characterize the fault types, and the fault types include a first type that only considers candidate faults of the power network, a second type that only considers candidate faults of the communication network, and a third type that considers both candidate faults of the power network and candidate faults of the communication network. The corresponding fault regulation information is determined using each first fault scenario information. The first fault scenario information is associated with the fault regulation information to obtain a power system contingency regulation model. In the method provided by the present invention, when determining the power system contingency set, diverse power system contingency scenarios are flexibly constructed by adjusting the candidate fault type parameters of the power system, including scenarios involving only power network faults, scenarios involving only communication network faults, and scenarios of hybrid faults of both networks. Moreover, when generating the hybrid fault set of both networks, it avoids the problem in the prior art that the generated fault types are not rich enough, and determining communication network faults based on power network faults results in some high-risk hybrid faults of both networks being omitted. The power system contingency regulation model module constructed based on the power system contingency set can meet the regulation requirements in complex fault scenarios.

[0007] In an alternative embodiment, the candidate fault set of the communication network includes second fault scenario information corresponding to multiple different fault scenarios. The second fault scenario information is used to characterize multiple normally operating communication node information corresponding to the communication network in the corresponding fault scenarios and the connectivity information between each normally operating communication node and other normally operating communication nodes. The candidate fault set of the power network includes third fault scenario information corresponding to multiple different fault scenarios. The third fault scenario information is used to characterize the fault state information of the generator sets connected to multiple power nodes corresponding to the power network in the corresponding fault scenarios and the fault state information of the transmission lines between each power node and other power nodes.

[0008] In an alternative embodiment, the step of determining the corresponding fault regulation information using each first fault scenario information includes: solving the pre-constructed power grid control optimization model using each first fault scenario information to obtain the corresponding fault regulation information. The power grid control optimization model includes an objective function and constraint conditions. The objective function is constructed with the goal of minimizing the weighted loss value of the active load in the fault scenario, and the weighted loss value of the active load is calculated using the fault regulation information.

[0009] The method provided by this alternative embodiment determines the fault regulation information for each candidate fault scenario based on the pre-constructed power grid control optimization model, solving the problem in the related art that there is less explicit establishment of a unified optimization model for the power grid control strategy in the above multi-type fault scenarios of the power system.

[0010] In an alternative embodiment, the steps of obtaining the candidate fault set of the communication network and the candidate fault set of the power network of the power system include: obtaining the communication network topology diagram, the candidate fault type parameters and scale parameters of the communication network, the power network topology diagram, the candidate fault type parameters, characteristic parameters and scale parameters of the power network; determining the second fault scenario information corresponding to different fault scenarios based on the communication network topology diagram, the candidate fault type parameters and scale parameters of the communication network; determining the candidate fault set of the communication network based on the second fault scenario information corresponding to different fault scenarios; determining the third fault scenario information corresponding to different fault scenarios based on the power network topology diagram, the candidate fault type parameters, characteristic parameters and scale parameters of the power network; and determining the candidate fault set of the power network based on the third fault scenario information corresponding to different fault scenarios.

[0011] The method provided in this alternative embodiment flexibly constructs diverse candidate fault scenarios of the communication network by adjusting the candidate fault type parameters and scale parameters of the communication network, and flexibly constructs diverse candidate fault scenarios of the power network by adjusting the candidate fault type parameters and scale parameters of the power network, making the fault scenarios of the constructed candidate fault set of the power network and the candidate fault set of the communication network more comprehensive.

[0012] In an alternative embodiment, the steps of associating each first fault scenario information with the fault regulation information to obtain the power system contingency regulation model include: calculating the corresponding fault parameter value based on the fault regulation information corresponding to each first fault scenario information, where the fault parameter value is used to characterize the severity of the fault; determining at least one target first fault scenario information from the multiple first fault scenario information, where the target first fault scenario information is the first fault scenario information with a fault parameter value greater than a preset threshold; and associating the target first fault scenario information with the corresponding fault regulation information to obtain the power system contingency regulation model.

[0013] The method provided in this alternative embodiment generates the power system contingency regulation models corresponding to different risk levels by setting a preset threshold characterizing the severity of the fault, meeting the needs of the power grid department for contingency accident safety analysis under different risk preferences.

[0014] Second aspect, the present invention provides a method for regulating and controlling power system faults, the method comprising: obtaining operation state information and fault type information after a fault occurs in the power system; determining first fault scenario information corresponding to the power system after the fault occurs based on the operation state information and the fault type information; determining fault regulation and control information after the fault occurs in the power system based on the first fault scenario information corresponding to the power system after the fault occurs and a pre-constructed power system contingency regulation and control model, the power system contingency regulation and control model being constructed by the power system contingency regulation and control model construction method of the first aspect or any corresponding implementation manner thereof; and regulating and controlling the power system based on the fault regulation and control information after the fault occurs in the power system.

[0015] The method for regulating and controlling power system faults provided by the present invention determines first fault scenario information through operation state information and fault type information after a fault occurs in the power system, determines fault regulation and control information after the fault occurs in the power system based on the first fault scenario information and a pre-constructed power grid control optimization model, and regulates and controls the power system based on the fault regulation and control information after the fault occurs in the power system.

[0016] Third aspect, the present invention provides a device for constructing a power system contingency regulation and control model, the device comprising: a first obtaining module, configured to obtain a communication network contingency set, a power grid contingency set of the power system, and contingency fault type parameters of the power system, the contingency fault type parameters being used to characterize fault types, and the fault types including a first type that only considers power grid contingencies, a second type that only considers communication network contingencies, and a third type that considers both power grid contingencies and communication network contingencies; a construction module, configured to construct a power system contingency set based on the contingency fault type parameters, the communication network contingency set, and the power grid contingency set, the power system contingency set including first fault scenario information corresponding to different fault scenarios respectively; a first determination module, configured to determine corresponding fault regulation and control information by using each piece of first fault scenario information; and an association module, configured to associate each piece of first fault scenario information with the fault regulation and control information to obtain a power system contingency regulation and control model.

[0017] Fourth aspect, the present invention provides a power system fault regulation device, including: a second acquisition module, configured to acquire the operation state information and fault type information after a fault occurs in the power system; a second determination module, configured to determine the corresponding first fault scenario information after the fault occurs in the power system based on the operation state information and the fault type information; a third determination module, configured to determine the fault regulation information after the fault occurs in the power system based on the corresponding first fault scenario information after the fault occurs in the power system and a pre-constructed power system contingency fault regulation model, and the power system contingency fault regulation model is constructed by the power system contingency fault regulation model construction method according to the first aspect or any corresponding embodiment thereof; a regulation module, configured to perform fault regulation on the power system based on the fault regulation information after the fault occurs in the power system.

[0018] Fifth aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other, and a computer instruction is stored in the memory. The processor executes the computer instruction to execute the power system contingency fault regulation model construction method according to the first aspect or any corresponding embodiment thereof, or execute the power system fault regulation method according to the second aspect.

[0019] Sixth aspect, the present invention provides a computer-readable storage medium, on which a computer instruction is stored, and the computer instruction is used to cause a computer to execute the power system contingency fault regulation model construction method according to the first aspect or any corresponding embodiment thereof, or execute the power system fault regulation method according to the second aspect.

[0020] Seventh aspect, the present invention provides a computer program product, including a computer instruction, and the computer instruction is used to cause a computer to execute the power system contingency fault regulation model construction method according to the first aspect or any corresponding embodiment thereof, or execute the power system fault regulation method according to the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required to be used in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0022] Figure 1 is a flowchart of the power system contingency fault regulation model construction method according to an embodiment of the present invention;

[0023] Figure 2It is a schematic flowchart of another method for constructing a power system contingency regulation model according to an embodiment of the present invention;

[0024] Figure 3 It is a schematic diagram of the cyber-physical power system topology structure according to an embodiment of the present invention;

[0025] Figure 4 It is a schematic flowchart of a power system fault regulation method according to an embodiment of the present invention;

[0026] Figure 5 It is a structural block diagram of a device for constructing a power system contingency regulation model according to an embodiment of the present invention;

[0027] Figure 6 It is a structural block diagram of a power system fault regulation device according to an embodiment of the present invention;

[0028] Figure 7 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed implementation manners

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0030] In the related art, when generating a contingency set of a cyber-physical power system, generally only hybrid faults of the power grid and the communication network are considered. When considering faults in the power grid, only transmission line faults are considered, resulting in an incomplete set of contingency scenarios for the power system and unable to meet the regulation requirements under complex fault scenarios.

[0031] In view of this, a method for constructing a power system contingency regulation model provided in an embodiment of the present application can be applied to a server to implement the construction of a power system contingency regulation model. In the method provided by the present invention, when determining a candidate fault set of the power system, diverse candidate fault scenarios of the power system are flexibly constructed by adjusting candidate fault type parameters of the power system, including scenarios involving only power grid faults, scenarios involving only communication network faults, and hybrid fault scenarios of the two networks. Moreover, when generating a hybrid fault set of the two networks, it avoids the problem in the prior art that the generated fault types are not rich enough and determining communication network faults based on power grid faults causes some high-risk hybrid faults of the two networks to be omitted. The power system contingency regulation model module constructed based on the candidate fault set of the power system can meet the regulation requirements under complex fault scenarios.

[0032] According to an embodiment of the present invention, an embodiment of a method for constructing a power system contingency regulation model 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] In this embodiment, a method for constructing a power system contingency regulation model is provided, which can be used for the above-mentioned server. Figure 1 It is a flowchart of a method for constructing a power system contingency regulation model according to an embodiment of the present invention, as Figure 1 shown, and the process includes the following steps:

[0034] Step S101, obtain the communication network contingency set, the power grid contingency set, and the contingency type parameters of the power system.

[0035] Exemplarily, the communication network contingency set contains second contingency scenario information corresponding to multiple different contingency scenarios. The second contingency scenario information is used to characterize the information of multiple normally operating communication nodes in the communication network under the corresponding contingency scenarios and the connectivity information between each normally operating communication node and other normally operating communication nodes. The power grid contingency set contains third contingency scenario information corresponding to multiple different contingency scenarios. The third contingency scenario information is used to characterize the fault state information of the generator sets connected to multiple power nodes in the power grid under the corresponding contingency scenarios and the fault state information of the transmission lines between each power node and other power nodes. The contingency type parameters are used to characterize the type of fault, and the type of fault includes a first type that only considers the power grid contingency, a second type that only considers the communication network contingency, and a third type that considers both the power grid contingency and the communication network contingency.

[0036] Step S102, construct a power system contingency set based on the contingency type parameters, the communication network contingency set, and the power grid contingency set. The power system contingency set includes first contingency scenario information corresponding to multiple different contingency scenarios.

[0037] Exemplarily, the first contingency scenario information is used to characterize the state information of the generator sets connected to each node in the power grid and the transmission lines between the nodes, and the state information of the communication links between each node and other nodes in the communication network under the corresponding contingency scenarios. In the embodiment of the present application, based on the power grid contingency set Ψ FP and the communication network contingency set Ψ FC construct a power system contingency set power system contingency type parameter T FS, initialize the power system candidate fault set Is an empty set. The fault type parameter T to be selected FS There are three values: 1, 2, and 3. A value of 1 means that only the power grid candidate faults are considered, a value of 2 means that only the communication network candidate faults are considered, and a value of 3 means that both the power grid candidate faults and the communication network candidate faults are considered. FS Constructing the power system candidate fault set If T FS If is 1, then If T FS is 2, traverse Ψ FC For all candidate fault scenarios in Check whether its communication node fault vector satisfies If satisfied, Incorporation Characterizes the fault state of the communication node v, N v represents the number of communication nodes. FS If is 3, Constructed as FP and FC The Cartesian product of is:

[0038]

[0039] Step S103: Determine corresponding fault control information using each first fault scenario information.

[0040] Exemplarily, the fault control information corresponding to each first fault scenario information in the selected fault set of the power system is calculated. The embodiment of the present application does not limit the specific calculation method as long as the control can be achieved.

[0041] Step S104: Associating each first fault scenario information with the fault control information to obtain a power system anticipated fault control model.

[0042] Exemplarily, the power system anticipated fault control model is used to characterize the correlation between the first fault scenario information and the fault control information.

[0043] The method for constructing a power system contingency regulation model provided in this embodiment flexibly constructs diverse power system contingency scenarios by adjusting the power system candidate fault type parameters when determining the power system candidate fault set, including scenarios involving only power grid faults, scenarios involving only communication network faults, and scenarios of hybrid faults of both networks. Moreover, when generating the hybrid fault set of both networks, it avoids the problems in the prior art that the generated fault types are not rich enough and determining communication network faults based on power grid faults may lead to omission of some high-risk hybrid faults of both networks. The power system contingency regulation model module constructed based on the power system candidate fault set can meet the regulation requirements under complex fault scenarios.

[0044] In this embodiment, a method for constructing a power system contingency regulation model is provided, which can be used in the above-mentioned server. Figure 2 It is a flowchart of the method for constructing a power system contingency regulation model according to an embodiment of the present invention, as Figure 2 shown. The process includes the following steps:

[0045] Step S201, obtain the communication network candidate fault set, the power grid candidate fault set of the power system, and the candidate fault type parameters of the power system. The candidate fault type parameters include a first parameter considering only the power grid candidate faults, a second parameter considering only the communication network candidate faults, and a third parameter considering both the power grid candidate faults and the communication network candidate faults. For details, please refer to Figure 1 step S101 of the shown embodiment, which will not be elaborated here.

[0046] In some optional embodiments, obtaining the communication network candidate fault set and the power grid candidate fault set of the power system includes:

[0047] Step a1, obtain the communication network topology diagram, the communication network candidate fault type parameters and scale parameters, the power grid topology diagram, the power grid candidate fault type parameters, characteristic parameters, and scale parameters.

[0048] Exemplarily, in the embodiments of the present application, data such as the cyber-physical power system topology structure and component parameters are obtained, and a cyber-physical power system topology diagram is constructed, including the power grid topology diagram Γ P and the communication network topology diagram Γ C . As Figure 3 shown, the power grid topology diagram Γ P is composed of N B power nodes and N L power edges. Among them, the power nodes represent the substation buses in the power system, and their set is Ω B , and the power edges represent the transmission lines between substations, and their set is Ω L . The communication network topology diagram Γ C is composed of N V communication nodes and NE It consists of V communication edges, where the communication nodes represent the communication sites of power plants, the communication sites of substations or the communication sites of power grid control centers, and their set is Ω E Set the parameter T of the candidate fault types of the communication network FC and the parameter N of the scale FC , and initialize the candidate fault set Ψ of the communication network FC to be an empty set. The type parameter T FC has three values: 1, 2, and 3. When the value is 1, it means only considering the faults of communication nodes; when the value is 2, it means only considering the faults of communication edges; when the value is 3, it means considering both the faults of communication nodes and communication edges. The scale parameter N FC is the total number of communication nodes and communication edges with faults. Given that the security protection level of the power grid control center is very high, it is defaulted that the communication nodes of the power grid control center do not have faults.

[0049] Set the parameter T of the candidate fault types of the power grid FP , the characteristic parameter H FP , and the parameter N of the scale FP , and initialize the candidate fault set Ψ of the power grid FP to be an empty set. The type parameter T P has three values: 1, 2, and 3. When the value is 1, it means only considering the faults of transmission lines; when the value is 2, it means only considering the faults of generating units; when the value is 3, it means considering both the faults of transmission lines and generating units. The characteristic parameter H FP describes the correlation between the faulty components (transmission lines, generating units). It has two values: 1 and 2. When the value is 1, there is no requirement for the correlation of the faulty components; when the value is 2, it means that all the faulty components are required to be connected to the same power node before the fault, and all the components that meet the requirements of the type parameter T FP and are connected to this power node have faults. The scale parameter N FP limits the number of faulty components when H FP = 1.

[0050] Step a2, based on the communication network topology graph, the candidate fault type parameter and the scale parameter of the communication network, determine the second fault scenario information corresponding to different fault scenarios.

[0051] Exemplarily, the second fault scenario information is used to characterize the information of multiple normally operating communication nodes corresponding to the communication network in the corresponding fault scenario, as well as the connectivity information between each normally operating communication node and other normally operating communication nodes. In the embodiments of the present application, according to the set communication network candidate fault type parameter T FC and scale parameter N FC , a communication network candidate fault scenario is constructed The fault scenario is described by a vector group composed of a communication node fault vector α V and a communication edge fault vector α E , that is where the communication node fault vector can be further expressed as The element represents the fault state of the communication node v, 0 indicates a fault occurs, and 1 indicates no fault occurs. The communication edge fault vector can be further expressed as The element represents the fault state of the communication edge e, 0 indicates a fault occurs, and 1 indicates no fault occurs. If T FC is 1, the communication node fault vector should satisfy The communication edge fault vector should satisfy If T FC is 2, the communication node fault vector should satisfy The communication edge fault vector should satisfy If T FC is 3, the communication node fault vector and the communication edge fault vector should satisfy and

[0052]

[0053] Step a3, determine the communication network candidate fault set based on the second fault scenario information corresponding to different fault scenarios.

[0054] Exemplarily, in the embodiments of the present application, according to the communication network candidate fault scenario extract the communication nodes corresponding to the zero elements in the communication node fault vector α V , remove the communication nodes and all communication edges connected to them from the original communication network topology graph Γ C to obtain a new communication network topology graph Γ′ C ; then extract the communication edges corresponding to the zero elements in the communication edge fault vector α E , remove the communication edges from Γ′ C to obtain a new communication network topology graph Γ′ C ′; then based on the breadth-first search algorithm, detect Γ′ CBased on the connectivity of ', all ordinary communication nodes that can be connected to the communication nodes of the power grid control center are obtained, and the set of ordinary communication nodes and the communication nodes of the power grid control center is denoted as Ω'. V ; Based on Ω' V Construct a communication network fault scenario The communication node connectivity vector where the element represents the connectivity status of communication node v and the power grid control center. 0 indicates inability to connect, and 1 indicates ability to connect. Therefore, if v ∈ Ω' V , then Otherwise

[0055] Traverse all possible communication network candidate fault scenarios under the set communication network candidate fault type parameter T FC and scale parameter N FC For each candidate fault scenario Check whether its communication node connectivity vector β V satisfies If it satisfies, then Merge it into the communication network candidate fault set Ψ FC .

[0056] Step a4, based on the power grid topology diagram, power grid candidate fault type parameters, characteristic parameters, and scale parameters, determine the third fault scenario information corresponding to different fault scenarios respectively.

[0057] Exemplarily, the third fault scenario information is used to characterize the fault status information of the generator sets connected to multiple power nodes and the fault status information of the transmission lines between each power node and other power nodes in the corresponding fault scenario of the power grid. In the embodiments of the present application, according to the set power grid candidate fault type parameter T FP , characteristic parameter H FP , scale parameter N FP , construct a power grid candidate fault scenario This fault scenario is described by a vector group composed of a transmission line fault vector α L and a generator set fault vector α G , that is where the transmission line fault vector can be further expressed as The element represents the fault status of transmission line l. 0 indicates a fault occurs, and 1 indicates no fault occurs. The generator set fault vector can be further expressed as The element represents the fault status of generator set g. 0 indicates a fault occurs, and 1 indicates no fault occurs. N G is the total number of generator sets in the power system. Another set of all generator sets is denoted as ΩG If T FP is 1 and H FP is 1, then the transmission line fault vector should satisfy The generator set fault vector should satisfy If T FP is 1 and H FP is 2, then the transmission line fault vector should satisfy: there exists a power node n ∈ Ω B such that or where Ω L-o(n) and Ω L-d(n) respectively represent the sets of transmission lines with the power node n as the head node and the power node n as the end node; the generator set fault vector should satisfy If T FP is 2 and H FP is 1, then the transmission line fault vector should satisfy The generator set fault vector should satisfy If T FP is 2 and H FP is 2, then the transmission line fault vector should satisfy The generator set fault vector should satisfy: there exists a power node n ∈ Ω B such that In the formula, Ω G(n) represents the set of all generator sets connected to the power node n before the fault. If T FP is 3 and H FP is 1, then the transmission line fault vector and the generator set fault vector should satisfy and If T FP is 3 and H FP is 2, then the transmission line fault vector and the generator set fault vector should satisfy: Meanwhile, there exists a power node n ∈ Ω B such that or and

[0058] Step a5, determine the power grid candidate fault set based on the third fault scenario information corresponding to different fault scenarios.

[0059] Exemplarily, in the embodiment of the present application, traverse all possible power grid candidate fault scenarios under the set power grid candidate fault type parameter T FP , characteristic parameter H FP , scale parameter N FP , and incorporate each possible fault scenario into the power grid candidate fault set ΨFP 。

[0060] Step S202: Construct a set of candidate faults for the power system based on the candidate fault type parameters, the set of candidate faults for the communication network, and the set of candidate faults for the power grid. The set of candidate faults for the power system includes first fault scenario information corresponding to multiple different fault scenarios.

[0061] Step S203: Determine the corresponding fault regulation information using each piece of first fault scenario information.

[0062] Specifically, the above Step S203 includes:

[0063] Step S2031: Solve the pre-constructed power grid control optimization model using each piece of first fault scenario information to obtain the corresponding fault regulation information. The power grid control optimization model includes an objective function and constraint conditions. The objective function is constructed with the goal of minimizing the weighted loss value of active power load under the fault scenario, and the weighted loss value of active power load is calculated through the fault regulation information.

[0064] Exemplarily, in the embodiments of this application, the fault regulation information under all candidate fault scenarios of the power system is determined based on the set of candidate faults for the power system and the pre-constructed power grid control optimization model.

[0065] Select one of the candidate fault scenarios If this scenario does not involve communication network faults, set all elements of the communication node fault vector α V , the communication edge fault vector α E , and the communication node connectivity vector β V to 1; if this scenario does not involve power grid faults, set all elements of the transmission line fault vector α L and the generator set fault vector α G to 1.

[0066] Input the cyber-physical power system topology structure, component parameters, and the α under the candidate fault scenario V , α E , β V , α L , α G and other parameters into the pre-constructed power grid control optimization model and solve for the power grid control strategy.

[0067] The optimization objective of the model is to minimize the weighted loss of active power load under the candidate fault scenario . The objective function can be shown as follows:

[0068]

[0069] Where, is the active load loss at power node n after a fault occurs, and σ n is the weight representing the importance of the active load at power node n.

[0070] The constraint conditions are shown as follows:

[0071]

[0072]

[0073]

[0074]

[0075]

[0076]

[0077]

[0078]

[0079]

[0080]

[0081]

[0082]

[0083]

[0084]

[0085] Among them, z(g) represents the power node to which the generator set g is connected before a fault; m(z(g)) represents the communication node corresponding to the power node z(g); o(l) and d(l) respectively represent the head power node and the tail power node of the transmission line l; and are respectively the active power output and reactive power output of the generator set g before a fault; F l and Q l are respectively the active power flow and reactive power flow through the transmission line l; and are respectively the active load and reactive load at power node n before a fault; is the reactive load loss at power node n after a fault occurs; and are the active power regulation amount and the reactive power regulation amount respectively under the condition of normal communication between the generator set g and the control center after a fault occurs. and are respectively the maximum value and the minimum value of the active power regulation amount under this condition, and are respectively the maximum value and the minimum value of the reactive power regulation amount under this condition; and are respectively the active power regulation amount and the reactive power regulation amount under the condition that the generator set g loses contact with the control center after a fault occurs; is a 0-1 variable associated with the generator set g introduced for convenient modeling; M is a sufficiently large positive number; y l and b l are respectively the conductance and susceptance of the transmission line l; U n is the voltage of the power node n; θ l is the phase angle difference between the power nodes at both ends of the transmission line l; is the maximum value (taking a positive value) of the phase angle difference between the power nodes at both ends of the transmission line, that is The interval is equally divided into N θ segments, is the i-th equally divided point; is the maximum transmission capacity of the transmission line l.

[0086] When solving the above model, cosθ l and other non-linear terms are replaced with new optimization variables, then the original model is transformed into a mixed-integer linear programming problem and can be directly solved by a mainstream solver (such as Gurobi, Cplex).

[0087] Step S204, associate each first fault scenario information with the fault control information to obtain a power system contingency regulation model.

[0088] Specifically, the above step S204 includes:

[0089] Step S2041, calculate the corresponding fault parameter value based on the fault control information corresponding to each first fault scenario information, and the fault parameter value is used to characterize the severity of the fault.

[0090] Exemplarily, in the embodiment of the present application, based on the power system candidate fault set each candidate fault under the grid control strategy, calculate the fault parameter value under each candidate fault scenario The calculation formula of the fault parameter value is:

[0091]

[0092] Among them, represents the severity of the fault under the fault scenario of the fault scenario.

[0093] Step S2042, determine at least one target first fault scenario information from multiple first fault scenario information, where the target first fault scenario information is the first fault scenario information with a fault parameter value greater than a preset threshold.

[0094] Exemplarily, in the embodiment of the present application, sort in descending order, screen out all candidate fault scenarios greater than or equal to the preset threshold η, and obtain the power system contingency set Ψ FS , that is

[0095]

[0096] Step S2043, associate the target first fault scenario information with the corresponding fault regulation information to obtain a power system contingency regulation model.

[0097] Exemplarily, in the embodiment of the present application, associate each target first fault scenario information in the contingency set Ψ FS with the corresponding fault regulation information to obtain a power system contingency regulation model.

[0098] The method provided by the embodiment of the present application first obtains data such as the topological structure and component parameters of the cyber-physical power system, and constructs the power grid topological graph and communication network topological graph of the cyber-physical power system; constructs the communication network candidate fault set based on the communication network topological graph and preset rules, and can flexibly construct diverse communication network candidate fault scenarios by adjusting the communication network candidate fault type parameters and scale parameters, including communication node faults, communication link faults, and hybrid faults of the two, and can screen out the communication network candidate fault scenarios with less impact on the system operation through preset rules, reducing the screening pressure of subsequent power system candidate faults; constructs the power grid candidate fault set based on the topological structure, component parameters, and preset rules of the cyber-physical power system, and can flexibly construct diverse power grid candidate fault scenarios by adjusting the power grid candidate fault type parameters and scale parameters, including transmission line faults, generator set faults, and hybrid faults of the two. In addition, it can simulate the power plant or substation outage fault scenario through the multiple faults of transmission lines and generator sets by adjusting the characteristic parameters, avoiding the problem that the existing technology considers relatively single power grid fault modes; constructs the power system candidate fault set based on the power grid candidate fault set and the communication network candidate fault set, and flexibly constructs diverse power system candidate fault scenarios by adjusting the power system candidate fault type parameters, including scenarios involving only power grid faults, scenarios involving only communication network faults, and scenarios of hybrid faults of the two networks. When generating the hybrid fault set of the two networks, the Cartesian product of the power grid fault set and the communication network fault set is used, avoiding the problems that the existing technology generates insufficiently rich fault types and some high-risk hybrid faults of the two networks are missed due to determining communication network faults based on power grid faults; determines the grid control strategy under the power system candidate fault scenario based on the power system candidate fault set and the pre-constructed grid control optimization model, improving the problem that the existing technology rarely explicitly establishes a unified optimization model for the grid control strategy under the above multi-type fault scenarios of the cyber-physical power system; calculates the fault severity under each candidate fault based on the grid control strategy under each candidate fault in the power system candidate fault set, and generates a power system contingency regulation model corresponding to different risk levels by setting a preset threshold, meeting the needs of the grid department for contingency security analysis under different risk preferences.

[0099] In this embodiment, a power system fault regulation method is also provided, which can be used in a server. Figure 4 It is a flowchart of the power system fault regulation method according to the embodiment of the present invention, as Figure 4 shown, and this process includes the following steps:

[0100] Step S401, obtain the operation state information and fault type information after the power system fails.

[0101] Exemplarily, the operating state information may include, but is not limited to, fault information of communication nodes, communication edges, generator sets, and transmission lines. The fault type information includes the fault types to be considered in the power system, and the fault types are determined by the communication network candidate fault type parameter T FC , the power grid candidate fault type parameter T FP , and the power system candidate fault type parameter T FS .

[0102] Step S402: Determine the corresponding first fault scenario information after a fault occurs in the power system based on the operating state information and the fault type information.

[0103] Exemplarily, based on the operating state information and the fault type information after a fault occurs in the power system, the corresponding first fault scenario is determined. The determination process can refer to the description of the relevant part in the above embodiments and will not be elaborated here.

[0104] Step S403: Determine the fault control information after a fault occurs in the power system based on the corresponding first fault scenario information after a fault occurs in the power system and the pre-constructed power system contingency regulation model. The power system contingency regulation model is constructed by the power system contingency regulation model construction method in the above embodiments.

[0105] Exemplarily, determine the fault control information corresponding to the first fault scenario information based on the pre-constructed power grid control optimization model.

[0106] Step S404: Perform fault control on the power system based on the fault control information after a fault occurs in the power system. Exemplarily, perform control on the power system based on the control information.

[0107] The method provided by the present invention determines the first fault scenario information through the operating state information and the fault type information after a fault occurs in the power system, determines the fault control information after a fault occurs in the power system based on the first fault scenario information and the pre-constructed power grid control optimization model, and performs fault control on the power system based on the fault control information after a fault occurs in the power system.

[0108] In this embodiment, a device for constructing a power system contingency regulation model is further provided. This device is used to implement the above embodiments and preferred implementation manners, and those that have been described will not be elaborated again. As used below, the term "module" 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.

[0109] This embodiment provides a device for constructing a power system contingency regulation model, as Figure 5 shown, including:

[0110] The first acquisition module 501 is used to acquire a communication network selected fault set, a power network selected fault set and a power system selected fault type parameter, wherein the selected fault type parameter includes a first parameter that only considers the power network selected faults, a second parameter that only considers the communication network selected faults and a third parameter that considers both the power network selected faults and the communication network selected faults;

[0111] A construction module 502 is used to construct a power system candidate fault set based on the candidate fault type parameter, the communication network candidate fault set and the power grid candidate fault set, wherein the power system candidate fault set includes first fault scenario information corresponding to multiple different fault scenarios;

[0112] A first determination module 503, configured to determine corresponding fault control information using each first fault scenario information;

[0113] The association module 504 is used to associate each first fault scenario information with the fault regulation information to obtain a power system expected fault regulation model.

[0114] In some optional embodiments, the communication network selected fault set includes second fault scenario information corresponding to multiple different fault scenarios, and the second fault scenario information is used to characterize the information of multiple normally operating communication nodes corresponding to the communication network under the corresponding fault scenarios and the connectivity information between each normally operating communication node and other normally operating communication nodes. The power grid selected fault set includes third fault scenario information corresponding to multiple different fault scenarios, and the third fault scenario information is used to characterize the fault status information of the generator sets connected to the multiple power nodes corresponding to the power grid under the corresponding fault scenarios and the fault status information of the transmission lines between each power node and other power nodes.

[0115] In some optional implementations, the first determining module 503 includes:

[0116] The first determination submodule is used to solve the pre-constructed power grid control optimization model using the information of each first fault scenario to obtain corresponding fault regulation information. The power grid control optimization model includes an objective function and constraints. The objective function is constructed with the goal of minimizing the weighted loss value of active load under the fault scenario. The weighted loss value of active load is calculated through the fault regulation information.

[0117] In some optional implementations, obtaining a communication network candidate fault set and a power network candidate fault set of the power system includes:

[0118] Obtaining a communication network topology map, communication network fault type parameters and scale parameters to be selected, a power network topology map, power network fault type parameters, characteristic parameters and scale parameters to be selected;

[0119] Determine the second fault scenario information corresponding to different fault scenarios based on the communication network topology diagram, the candidate fault type parameters and the scale parameters of the communication network;

[0120] Determine the candidate fault set of the communication network based on the second fault scenario information corresponding to different fault scenarios;

[0121] Determine the third fault scenario information corresponding to different fault scenarios based on the power grid topology diagram, the candidate fault type parameters, the characteristic parameters and the scale parameters of the power grid;

[0122] Determine the candidate fault set of the power grid based on the third fault scenario information corresponding to different fault scenarios.

[0123] This embodiment provides a power system fault regulation device, as Figure 6 shown, including:

[0124] The second acquisition module 601 is configured to acquire the operation state information and the fault type information after a fault occurs in the power system;

[0125] The second determination module 602 is configured to determine the first fault scenario information corresponding to the power system after a fault occurs based on the operation state information and the fault type information;

[0126] The third determination module 603 is configured to determine the fault regulation information after a fault occurs in the power system based on the first fault scenario information corresponding to the power system after a fault occurs and the pre-constructed power system anticipated fault regulation model;

[0127] The regulation module 604 is configured to perform fault regulation on the power system based on the fault regulation information after a fault occurs in the power system.

[0128] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding above embodiments, and will not be repeated here.

[0129] The power system anticipated fault regulation model construction device and the power system fault regulation device in this embodiment are presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0130] This embodiment of the present invention also provides a computer device, having the above Figure 5 shown power system anticipated fault regulation model construction device, or having the above Figure 6 shown power system fault regulation device.

[0131] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of a computer device provided by an alternative embodiment of the present invention. As Figure 7 shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a set of blade servers, or a multi-processor system). Figure 7 In

[0132] Figure 7 , one processor 10 is taken as an example. The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above-mentioned hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above-mentioned programmable logic device can be a complex programmable logic device, a field programmable gate array, a general array logic, or any combination thereof.

[0133] Among them, the memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiments.

[0134] The memory 20 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 can optionally include a memory remotely set relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above network include but are not limited to the Internet, an enterprise internal network, a local area network, a mobile communication network, and combinations thereof.

[0135] The memory 20 can include a volatile memory, for example, a random access memory; the memory can also include a non-volatile memory, for example, a flash memory, a hard disk, or a solid-state drive; the memory 20 can also include a combination of the above types of memories.

[0136] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0137] An embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code that is originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored as such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiment is implemented.

[0138] A part of the present invention can be applied as a computer program product, such as computer program instructions. When executed by a computer, through the operation of the computer, the methods and / or technical solutions according to the present invention can be called or provided. Those skilled in the art should be able to understand that the forms of existence of computer program instructions in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to the computer.

[0139] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for constructing a power system contingency regulation model, characterized in that, The method includes: Obtaining a set of candidate faults for the communication network of the power system, a set of candidate faults for the power network, and candidate fault type parameters of the power system. The candidate fault type parameters are used to characterize the fault types, and the fault types include a first type that only considers the candidate faults of the power network, a second type that only considers the candidate faults of the communication network, and a third type that considers both the candidate faults of the power network and the candidate faults of the communication network; Constructing a set of candidate faults for the power system based on the candidate fault type parameters, the set of candidate faults for the communication network, and the set of candidate faults for the power network. The set of candidate faults for the power system includes first fault scenario information corresponding to different fault scenarios respectively. The first fault scenario information is used to characterize the state information of the generator sets connected to each node in the power network and the transmission lines between the nodes, as well as the state information of the communication links between the nodes in the communication network under the corresponding fault scenario; Determining corresponding fault regulation information using each piece of first fault scenario information; Associating each piece of first fault scenario information with the fault regulation information to obtain a power system contingency regulation model.

2. The method according to claim 1, characterized in that, The set of candidate faults for the communication network contains second fault scenario information corresponding to different fault scenarios respectively. The second fault scenario information is used to characterize the information of multiple normally operating communication nodes in the communication network under the corresponding fault scenario and the connectivity information between each normally operating communication node and other normally operating communication nodes. The set of candidate faults for the power network contains third fault scenario information corresponding to different fault scenarios respectively. The third fault scenario information is used to characterize the fault state information of the generator sets connected to multiple power nodes in the power network under the corresponding fault scenario and the fault state information of the transmission lines between each power node and other power nodes.

3. The method according to claim 2, characterized in that, The step of determining corresponding fault regulation information using each piece of first fault scenario information includes: Solving a pre-constructed power grid control optimization model using each piece of first fault scenario information to obtain corresponding fault regulation information. The power grid control optimization model includes an objective function and constraint conditions. The objective function is constructed with the goal of minimizing the weighted loss value of the active load under the fault scenario, and the weighted loss value of the active load is calculated through the fault regulation information.

4. The method according to claim 1, characterized in that, The obtaining of the set of candidate faults for the communication network of the power system and the set of candidate faults for the power network includes: Obtaining a communication network topology diagram, candidate fault type parameters and scale parameters of the communication network, a power network topology diagram, candidate fault type parameters, characteristic parameters, and scale parameters of the power network; Determining second fault scenario information corresponding to different fault scenarios based on the communication network topology diagram, candidate fault type parameters, and scale parameters of the communication network; Determining the set of candidate faults for the communication network based on the second fault scenario information corresponding to different fault scenarios; Determining third fault scenario information corresponding to different fault scenarios based on the power network topology diagram, candidate fault type parameters, characteristic parameters, and scale parameters of the power network; Determining the set of candidate faults for the power network based on the third fault scenario information corresponding to different fault scenarios.

5. The method according to any one of claims 1 to 4, characterized in that The steps of associating each first fault scenario information with fault control information to obtain a power system contingency fault control model include: Calculating corresponding fault parameter values based on the fault control information corresponding to each first fault scenario information, where the fault parameter values are used to characterize the severity of the fault: Determining at least one target first fault scenario information from multiple first fault scenario information, where the target first fault scenario information is the first fault scenario information with a fault parameter value greater than a preset threshold; Associating the target first fault scenario information with the corresponding fault control information to obtain the power system contingency fault control model.

6. A power system fault regulation method, characterized in that, The method includes: Obtaining the operating state information and fault type information of the power system after a fault occurs; Determining the corresponding first fault scenario information of the power system after a fault occurs based on the operating state information and the fault type information; Determining the fault control information of the power system after a fault occurs based on the corresponding first fault scenario information of the power system after a fault occurs and a pre-constructed power system contingency fault control model, where the power system contingency fault control model is constructed by the power system contingency fault control model construction method described in any one of claims 1 to 5; Performing fault control on the power system based on the fault control information of the power system after a fault occurs.

7. A device for constructing a power system contingency regulation model, characterized in that, The device includes: A first acquisition module, configured to acquire a communication network candidate fault set, a power network candidate fault set of the power system, and candidate fault type parameters of the power system, where the candidate fault type parameters are used to characterize the fault type, and the fault type includes a first type that only considers the candidate faults of the power network, a second type that only considers the candidate faults of the communication network, and a third type that considers both the candidate faults of the power network and the candidate faults of the communication network; A construction module, configured to construct a power system candidate fault set based on the candidate fault type parameters, the communication network candidate fault set, and the power network candidate fault set, where the power system candidate fault set includes first fault scenario information corresponding to different fault scenarios, and the first fault scenario information is used to characterize the state information of the generator sets connected to each node in the power network and the transmission lines between the nodes, and the state information of the communication links between the nodes in the communication network; A first determination module, configured to determine the corresponding fault control information by using each first fault scenario information; An association module, configured to associate each first fault scenario information with the fault control information to obtain a power system contingency fault control model.

8. A power system fault regulation device, characterized in that, The device includes: A second acquisition module, configured to acquire the operating state information and fault type information of the power system after a fault occurs; A second determination module, configured to determine the corresponding first fault scenario information of the power system after a fault occurs based on the operating state information and the fault type information; A third determination module, configured to determine fault regulation information after a fault occurs in the power system based on the corresponding first fault scenario information after the fault occurs in the power system and a pre-constructed power system contingency regulation model, where the power system contingency regulation model is constructed by the power system contingency regulation model construction method according to any one of claims 1 to 5; A regulation module, configured to perform fault regulation on the power system based on the fault regulation information after the fault occurs in the power system.

9. A computer device, characterized in that, Comprising: A memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the power system contingency regulation model construction method according to any one of claims 1 to 5, or execute the power system fault regulation method according to claim 6.

10. A computer-readable storage medium, characterized in that, Computer instructions are stored on the computer-readable storage medium, and the computer instructions are used to cause a computer to execute the power system contingency regulation model construction method according to any one of claims 1 to 5, or execute the power system fault regulation method according to claim 6.

11. A computer program product, characterized in that, Comprising computer instructions, and the computer instructions are used to cause a computer to execute the power system contingency regulation model construction method according to any one of claims 1 to 5, or execute the power system fault regulation method according to claim 6.

Images