Power transmission network emergency repair and restoration method and device based on mobile power supply

Abstract

Disclosed in the present invention are a power transmission network emergency repair and restoration method and device based on a mobile power supply. The present application improves the power transmission network fault restoration efficiency by the method: reading a preset power transmission network black start strategy optimization model and parameter data acquired from a power transmission network to be restored, wherein the power transmission network black start strategy optimization model is constructed by setting an emergency repair resource constraint, a power transmission network operation constraint and a power transmission network partition constraint, with the optimization objective of minimizing power transmission network load loss; initializing the power transmission network black start strategy optimization model on the basis of the parameter data, and solving the power transmission network black start strategy optimization model by means of a solver to obtain a mobile power supply arrangement scheme and a unit restoration scheme of said power transmission network; and performing emergency repair on said power transmission network on the basis of the mobile power supply arrangement scheme and the unit restoration scheme. The present application can improve the power transmission network fault restoration efficiency and reduce power outage costs by allocating fault repair resources.

Description

Power supply network repair and recovery method and device based on mobile power supply TECHNICAL FIELD

[0001] The present application relates to the field of power grid fault recovery, and in particular to a power supply network repair and recovery method and device based on mobile power supply. BACKGROUND

[0002] Extreme weather events, such as typhoon weather, have the characteristics of wide coverage and strong disaster intensity, and are prone to cause equipment failures in both the main grid and the distribution grid, leading to large-scale power outages and causing huge economic losses and social impacts.

[0003] The restoration of the power supply network is generally divided into three stages: unit startup, network reconstruction, and load recovery. In the existing restoration process, the unit startup stage is to use black-start units as the restoration power supply to restore non-black-start units by sending power to other areas of the main grid, thereby completing the startup and recovery process of the main grid units. This involves the repair of faulty elements by construction teams combined with mobile power supplies. When facing large-scale power outage accidents, there are often a large number of fault points waiting for repair. If mobile power supply resources and construction team resources are not allocated reasonably, it will result in low efficiency of power supply network restoration and cause serious power outage economic losses.

[0004] However, there is still a lack of research on optimizing repair resources to improve the restoration rate of the power supply network in the face of large-scale power outage accidents. Therefore, there is an urgent need for a power supply network repair and recovery method based on mobile power supply to improve the restoration speed when the power supply network fails and reduce power outage losses.

[0005] SUMMARY

[0006] The present application provides a power supply network repair and recovery method and device based on mobile power supply to solve the technical problem of low fault recovery efficiency caused by uneven allocation of repair resources in the face of large-scale power outage accidents.

[0007] To solve the above technical problems, in a first aspect, the present application provides a power supply network repair and recovery method based on mobile power supply, comprising:

[0008] reading a preset power supply network black-start strategy optimization model and parameter data obtained from the power supply network to be restored; the power supply network black-start strategy optimization model is built by setting repair resource constraints, power supply network operation constraints, and power supply network partition constraints, with the optimization objective of minimizing power grid load loss;

[0009] initializing the power supply network black-start strategy optimization model according to the parameter data, and solving the power supply network black-start strategy optimization model through a solver to obtain a mobile power supply arrangement scheme and a unit recovery scheme for the power supply network to be restored;

[0010] According to the mobile power arrangement scheme and the unit recovery scheme, the to-be-recovered power transmission network is repaired.

[0011] Compared with the prior art, the above embodiment has the following beneficial effects: by considering the repair resource constraint, it is ensured that the demand for repair resources in the problem planning process will not exceed the stock of the repair resources themselves, and by combining the power transmission network operation constraint, the feasibility of the final scheme is ensured; in addition, by simultaneously considering the repair resource constraint, the power transmission network operation constraint and the power transmission network partition constraint, the planning of repair resources and the optimization of the unit startup sequence of the power transmission network are coupled together, so that the utilization rate of the repair resources is improved, the recovery efficiency of the power transmission network is further improved, and the load loss of the power grid is reduced under the condition that the unit startup sequence is optimal.

[0012] In one embodiment of the first aspect, the repair resource constraint includes a construction team resource sub-constraint and a mobile power resource sub-constraint.

[0013] The construction team resource sub-constraint is obtained by construction team construction load and construction speed.

[0014] The mobile power resource sub-constraint is obtained by mobile power moving speed and connection state.

[0015] Compared with the prior art, the above embodiment has the following beneficial effects: by the construction ability of the construction team and the resource constraint of the mobile power, the regulations that need to be observed in the actual repair process can be accurately described, and the feasibility of the final obtained repair scheme is improved.

[0016] In one embodiment of the first aspect, the construction team resource sub-constraint specifically includes:

[0017] wherein, represents whether the construction team c repairs the power transmission network fault point i at time t; represents the repair state of the construction team c at time t; tr D,i is the movement time of the construction team c from the initial position to the movement between fault points i and j; tr i,j is the movement time of the construction team c between fault points i and j; represents whether the construction team c completes the repair of fault point i at time t; s i,trepresents the repair state of fault point i at time t; T represents the total time consumption of the entire repair and recovery process.

[0018] The above embodiment has the following beneficial effects compared with the prior art: because the construction team can only repair one fault point at the same time, and the repair of the fault point requires a certain minimum repair time, and the construction team needs a certain time to repair another fault point between different fault points, the above conditions are limited and constrained by defining related variables, and the feasibility of the final repair scheme is improved.

[0019] In one embodiment of the first aspect, the mobile power resource sub-constraint specifically includes:

[0020] wherein, represents the mobile power dispatching, if the mobile power m is connected to the power grid at time t, then is equal to 1; is the access state of the mobile power at time t; tr D,i represents the time required for the mobile power to move from the starting point to the first node; tr i,j is the movement time of the mobile power between nodes i and j; is the output power of the mobile power m at time t; is the maximum output power of the mobile power m at time t; is the required start-up power of the non-black machine group.

[0021] The above embodiment has the following beneficial effects compared with the prior art: because the non-black machine group needs to meet certain power requirements when starting up by the mobile power, and one mobile power can only start up one non-black start-up machine group at the same time, therefore, by constraining the above conditions, the safety of the final repair scheme is improved.

[0022] In one embodiment of the first aspect, the power grid partition constraint specifically includes:

[0023] wherein, is a binary partition variable representing a node, when the main grid bus i belongs to partition k at time t, is equal to 1, otherwise is equal to 0; a binary partition variable representing a line, the line i-j belongs to the partition k at time t, equals 1, otherwise equals 0; β i,j,t a binary partition variable representing a line switch state, β i,j,t = 1 when the line i-j is closed at time t, otherwise β i,j,t = 0; s i,j,t a binary partition variable representing a line fault condition, s i,j,t = 1 when the line i-j is not faulted at time t, otherwise s i,j,t = 0.

[0024] Compared with the prior art, the above embodiment has the following beneficial effects: since the state of the unit affects the partition condition during the repair of the power grid, when the power grid is repaired to a certain state, a new partition can be made according to the current state of the power grid, and therefore the flexibility of scheme making can be improved by constraining the partition.

[0025] In one embodiment of the first aspect, the power grid operation constraint includes a unit start sub-constraint and a recovery safety sub-constraint.

[0026] The unit start sub-constraint is built according to the start conditions of the black-start unit and the non-black-start unit.

[0027] The recovery safety sub-constraint is built according to the safety conditions of the path recovery and the load recovery process of the power grid.

[0028] Compared with the prior art, the above embodiment has the following beneficial effects: since the unit start and the path load recovery process both need to meet certain safety start conditions or necessary start conditions, otherwise the recovery cannot be normal, the feasibility of the final unit start scheme, path and load recovery scheme is improved by building the unit start sub-constraint and the recovery safety sub-constraint.

[0029] In one embodiment of the first aspect, the optimization target is calculated by obtaining the weight coefficient of each load in the power grid and the load demand parameter on each load bus, and combining the recovery amount on each load.

[0030] Compared with the prior art, the above embodiment has the following beneficial effects: by introducing the weight coefficient of each load, the load loss is accurately evaluated, and the effectiveness of the final scheme is improved.

[0031] In one embodiment of the first aspect, the optimization target specifically includes:

[0032] wherein F is the load loss. is a weight coefficient of different loads in a power transmission network; is a load demand parameter on each load bus in the power transmission network; is a load recovery amount on bus i in partition k.

[0033] Compared with the prior art, the above embodiment has the following beneficial effects: by minimizing load loss, the failure repair cost of the power transmission network is reduced, and the economy of the final scheme is improved.

[0034] In one embodiment of the first aspect, the repair scheme implementation module is configured to repair the power transmission network to be recovered according to the mobile power arrangement scheme and the unit recovery scheme.

[0035] According to the start-up sequence and start-up power of the black-start unit and the non-black-start unit determined according to the unit recovery scheme, and the failure repair sequence of the construction team and the mobile power access sequence determined according to the mobile power arrangement scheme, the power transmission network to be recovered is repaired.

[0036] According to the start-up sequence, start-up power, failure repair sequence of the construction team, and mobile power access sequence, the power transmission network to be recovered is repaired.

[0037] Compared with the prior art, the above embodiment has the following beneficial effects: according to the start-up sequence, start-up power, failure repair sequence of the construction team, and mobile power access sequence obtained according to the power transmission network black-start strategy optimization model, the power transmission network to be recovered is repaired, which can reduce the load loss of the power transmission network during the repair process and improve the failure repair rate.

[0038] In a second aspect, the embodiments of the present application also provide a power transmission network repair and recovery device based on a mobile power supply, which comprises a model acquisition module, a model solving module, and a repair scheme implementation module.

[0039] The model acquisition module is configured to read a preset power transmission network black-start strategy optimization model and parameter data obtained according to a power transmission network to be recovered; the power transmission network black-start strategy optimization model is built by setting repair resource constraints, power transmission network operation constraints, and power transmission network partition constraints, with the optimization objective of minimizing grid load loss.

[0040] The model solving module is configured to initialize the power transmission network black-start strategy optimization model according to the parameter data, and solve the power transmission network black-start strategy optimization model by a solver to obtain a mobile power arrangement scheme and a unit recovery scheme of the power transmission network to be recovered.

[0041] The repair scheme implementation module is configured to repair the power transmission network to be recovered according to the mobile power arrangement scheme and the unit recovery scheme. BRIEF DESCRIPTION OF DRAWINGS

[0042] Fig. 1 is a flowchart of a power transmission network repair and recovery method based on a mobile power supply according to an embodiment of the present application;

[0043] Fig. 2 is a topology diagram of an IEEE14 bus power transmission system used to verify a power transmission network repair and recovery method based on a mobile power supply according to an embodiment of the present application;

[0044] Fig. 3 is a construction team and mobile power supply scheduling diagram obtained by a power transmission network repair and recovery method based on a mobile power supply according to an embodiment of the present application;

[0045] Fig. 4 is a dynamic partition decision diagram of a main network obtained by a power transmission network repair and recovery method based on a mobile power supply according to an embodiment of the present application;

[0046] Fig. 5 is a structural diagram of a power transmission network repair and recovery device according to an embodiment of the present application. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only 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 skilled in the art without creative labor fall within the scope of the present application.

[0048] Embodiment one

[0049] Please refer to Fig. 1, which is a power transmission network repair and recovery method based on a mobile power supply according to an embodiment of the present application, including S101 to S103, specifically:

[0050] S101: reading a preset power transmission network black start strategy optimization model and parameter data obtained according to a power transmission network to be recovered; the power transmission network black start strategy optimization model is built by setting repair resource constraints, power transmission network operation constraints and power transmission network partition constraints, with the optimization objective of minimizing power grid load loss.

[0051] In one of the embodiments, the repair resource constraints include construction team resource sub-constraints and mobile power supply resource sub-constraints; the construction team resource sub-constraints are obtained by construction team construction load and construction speed; the mobile power supply resource sub-constraints are obtained by mobile power supply moving speed and connection state.

[0052] The above embodiments can accurately describe the regulations that need to be followed in the actual repair process by the construction capacity of the construction team and the resource constraints of the mobile power supply, thereby improving the feasibility of the final repair scheme.

[0053] Further, the construction team resource sub-constraints described in the above embodiments can be obtained by the following preferred embodiments, specifically:

[0054] Firstly, the repair state of the construction team can be represented by the following constraint:

[0055] Further, each construction team can repair at most one fault at the same time, which can be represented by the following formula:

[0056] Further, when the construction team goes to the first fault point, the first fault point is not repaired, which can be represented by the following formula:

[0057] Further, the construction team scheduling can be described by the moving time of the construction team between faults, which can be represented by the following formula:

[0058] Further, the construction team needs to complete the fault repair after the repair event, which can be represented by the following formula:

[0059] Further, once the fault is repaired, the repair state of the corresponding fault point should be in the completed repair state, which can be represented by the following formula:

[0060] Further, a fault is only repaired by one construction team, which can be represented by the following formula:

[0061] Further, the repair state of the fault point in the power grid should satisfy the following formula:

[0062] wherein, represents whether the construction team c repairs the power grid fault point i at time t; represents the repair state of the construction team c at time t; tr D,i is the moving time of the construction team c from the initial position to the fault point i; tr i,j is the moving time of the construction team c between fault points i and j; represents whether the construction team c completes the repair of fault point i at time t; s i,t represents the repair state of fault point i at time t; T represents the total time consumption of the whole repair and recovery process.

[0063] As can be seen from the above preferred embodiments, since the construction team can only repair one fault point at the same time, and it takes a certain minimum repair time to repair the fault point, and the construction team needs a certain time to repair another fault point between different fault points, the above situation is limited and constrained by defining related variables, thereby improving the feasibility of the final repair scheme.

[0064] Preferably, the mobile power resource sub-constraint described in the above embodiments can be built through the following preferred steps, specifically:

[0065] Firstly, the access state of the mobile power is represented by mobile power scheduling, specifically:

[0066] Further, each mobile power can access at most one access point at the same time, which can be specifically represented as:

[0067] Further, the movement time of each mobile power from the starting point to the first node can be specifically represented as:

[0068] Further, the scheduling of the mobile power can be described by the movement time of the mobile power between nodes, which can be specifically represented as:

[0069] Further, the power capacity of the mobile power needs to meet the following limit conditions:

[0070] Further, the non-black machine group start state after the mobile power is accessed is expressed in the following linear form:

[0071] wherein, represents the mobile power scheduling, if the mobile power m is connected to the power grid at time t, then is equal to 1; is the access state of the mobile power; tr D,i represents the movement time of the mobile power from the starting point to the first node; tr i,j is the movement time of the mobile power between nodes i and j; is the output power of the mobile power m at time t; is the maximum output power of the mobile power m at time t; is the required start power of the non-black machine group.

[0072] As can be seen from the preferred embodiment, since the non-black unit is started by the mobile power supply, a certain power requirement needs to be met, and only one non-black unit can be started at the same time by one mobile power supply, therefore, by restricting the above conditions, the safety of the final repair scheme is improved.

[0073] Preferably, the power grid partition constraint in the above embodiment can be obtained by the following preferred implementation steps, specifically:

[0074] Firstly, it is necessary to ensure that each bus and each line in the main grid is allocated to at most one partition, which can be specifically represented as:

[0075] Further, it is ensured that the line i-j in the main grid belongs to the partition k only when the buses at both ends are located in the same partition, which can be specifically represented as:

[0076] Further, the state of the main grid line switch is determined by the binary partition variable of the line, which can be specifically represented as:

[0077] Further, the fault line in the main grid cannot be closed, which can be specifically represented as:

[0078] wherein, is a binary partition variable representing the position of the node, when the bus i in the main grid belongs to the partition k at time t, is equal to 1, otherwise is equal to 0; is a binary partition variable representing the position of the line, when the line i-j belongs to the partition k at time t, is equal to 1, otherwise is equal to 0;β i,j,t is a binary partition variable representing the state of the line switch, when the line i-j is closed, β i,j,t = 1, otherwise β i,j,t = 0; s i,j,t is a binary partition variable representing the fault condition of the line, when the line i-j is not faulted at time t, s i,j,t = 1, otherwise s i,j,t = 0.

[0079] As can be seen from the preferred embodiment, since the state of the unit will affect the partition condition during the repair of the power grid, when the power grid is repaired to a certain state, a new partition can be made according to the current state of the power grid, therefore, by restricting the partition, the flexibility of the scheme making can be improved.

[0080] In one embodiment, the power grid operation constraints include: unit start-up sub-constraints and recovery safety sub-constraints; wherein, the unit start-up sub-constraints are built according to start-up conditions of black-start units and non-black-start units; and the recovery safety sub-constraints are built according to safety conditions of path recovery and load recovery processes of the power grid.

[0081] As can be seen from the above embodiment, since the unit start-up and the path load recovery processes need to meet certain safety start-up conditions or necessary start-up conditions, otherwise the normal recovery cannot be achieved, by building the unit start-up sub-constraints and the recovery safety sub-constraints, the feasibility of the final unit start-up scheme, path and load recovery scheme is improved.

[0082] Preferably, the unit start-up sub-constraints can be built by the following preferred implementation steps, specifically:

[0083] Firstly, the bus to which the black-start unit belongs can be recovered after the black-start unit completes start-up, which can be specifically represented as:

[0084] Further, the non-black-start unit can start only after the bus to which the non-black-start unit belongs is recovered, which can be specifically represented as:

[0085] Further, the black-start unit and the non-black-start unit can only be in one state at the same time, which can be specifically represented as:

[0086] Further, the start-up time of the black-start unit and the non-black-start unit can only be once at most, which can be specifically represented as:

[0087] Further, based on the unit start-up time point and the start-up time, the time at which the unit completes start-up can be calculated by the following formula:

[0088] Further, based on the time at which the unit completes start-up and the ramp-up time, the time at which the unit completes ramp-up can be calculated by the following formula:

[0089] Further, based on the unit start-up time point, the shutdown state of the unit can be calculated by the following formula:

[0090] Further, based on the unit start-up start time point and the time at which the unit completes start-up, the start-up state of the unit can be calculated by the following formula:

[0091] Further, based on the starting completion time point of the unit and the climbing completion time point, the climbing state of the unit can be calculated by the following formula:

[0092] Further, based on the unit climbing completion time point, the rated output state of the unit can be calculated by the following formula:

[0093] Further, based on the state of the unit in different stages, the maximum output value of the unit can be calculated by the following formula:

[0094] Wherein, and respectively represent the shutdown state, the starting state, the climbing state and the rated value state of the unit; G represents the set of all units, including black start units and non-black start units; represents the starting time point of the unit; BSG and NBSG represent the set of black start units and the set of non-black start units respectively; represents the time point when the unit completes the starting and begins to output climbing; represents the time required for the unit to start; t represents the time; represents the time point when the unit completes the climbing and begins to output rated value, is the time required for the unit to climb; represents the maximum output value of the unit; and are the starting power, the climbing power and the rated power of the unit respectively.

[0095] Preferably, the safety sub-constraint described in the above embodiment can be obtained by the following preferred implementation steps, specifically:

[0096] Firstly, it is necessary to ensure that the restoration path must start from the unit of the partition, which can be specifically represented as:

[0097] Further, it is necessary to ensure that at most one starting point of the restoration path is allowed in a partition, which can be specifically represented as:

[0098] Further, the unit in the power grid and the active distribution network can only be considered as the starting point of the restoration path after completing the starting or providing power to the main grid, which is specifically:

[0099] Further, the load bus cannot be used as the restoration path, which can be specifically represented as:

[0100] Further, only the lines belonging to the partition can have restoration paths, which can be expressed as:

[0101] Further, it is necessary to ensure that each line in the partition has at most one restoration path, which can be expressed as:

[0102] Further, the radial structure of the restoration path is constrained, which can be expressed as:

[0103] Further, the main network line can only be restored after the line charging time, which can be expressed as:

[0104] Further, only the bus with the restoration path can realize restoration, which can be expressed as:

[0105] Further, only the current node with the restoration path inflow can have the restoration path outflow, which can be expressed as:

[0106] Further, when the unit is in the first stage of starting, the unit output is 0, and when it is in the second stage, the unit output is the starting power, which can be expressed as:

[0107] Further, when the unit is in the third or fourth stage of starting, the unit output is the current climbing power or rated power, respectively, which can be expressed as:

[0108] Further, the climbing power needs to be limited according to the following formula:

[0109] Further, the reactive power output of the unit in partition k is limited, which can be expressed as:

[0110] Further, the bus load restoration amount needs to satisfy the following condition constraints:

[0111] Further, it is ensured that the line without the restoration path in the partition has zero power flow, which can be expressed as:

[0112] Further, the linearized AC power flow model ignoring the quadratic term of line loss is:

[0113] Further, the bus voltage amplitude and phase angle need to meet the following safety range:

[0114] Further, the load recovery amount limit considering frequency fluctuation at each time needs to be considered, which can be specifically expressed as:

[0115] wherein, is a binary component representing the recovery state of bus i in partition k at time t, and if it is completed, the value is 1, and the bus can be used as the starting point of the recovery path; is a binary partition variable representing the node position, and when the main grid bus i belongs to partition k at time i, the partition variable is equal to 1; ADS represents the set of active distribution networks; is a binary partition variable representing whether the active distribution network provides power to the main grid, and if it provides power, the value is 1, otherwise the value is 0; and represent the shutdown state, startup state, climbing state and rated value state of the unit, respectively; is a binary component representing the recovery state of node i in partition k at time t; is a binary component representing the recovery state of line i-j in partition k at time t; is a binary partition variable representing the line position; is the charging time of the line, and in , only when t is greater than can the line be recovered; N represents whether the current node has a recovery path flowing in; is the active power dispatched by unit i in partition k of the main grid; is the startup power of the unit; is the unit output ramp rate; M is the maximum value; is the reactive power dispatched by unit i in partition k of the main grid; is the load recovery amount on bus i in partition k; is the load demand parameter on each load bus in the transmission grid; and are the active and reactive power flows of the line; and are the active and reactive power provided by the main grid to the distribution grid; G i,j and B i,j are the conductance and susceptance of the line; and θ k,i,j,t are the bus voltage and the angle between the lines; f iis the frequency at bus i at each time.

[0116] In one embodiment, the optimization target is obtained by obtaining the weight coefficient of each load in the power transmission network and the load demand parameter on each load bus, and combining the current recovery amount of each load.

[0117] The above embodiment accurately evaluates the load loss by introducing the weight coefficient of each load, thereby improving the effectiveness of the final scheme.

[0118] Preferably, the optimization target in the above embodiment can be obtained by the following preferred implementation steps, specifically:

[0119] wherein F represents the load loss; is the weight coefficient of different loads in the power transmission network; is the load demand parameter on each load bus in the power transmission network; is the load recovery amount on bus i in partition k.

[0120] The above preferred embodiment reduces the fault repair cost of the power transmission network by minimizing the load loss, thereby improving the economy of the final scheme.

[0121] S102: initialize the power transmission network black start strategy optimization model according to the parameter data, and solve the power transmission network black start strategy optimization model by a solver to obtain a mobile power source arrangement scheme and a unit recovery scheme of the to-be-recovered power transmission network.

[0122] S103: repair the to-be-recovered power transmission network according to the mobile power source arrangement scheme and the unit recovery scheme.

[0123] In one embodiment, the repairing the to-be-recovered power transmission network according to the mobile power source arrangement scheme and the unit recovery scheme comprises: determining the start-up sequence and start-up power of the black start unit and the non-black start unit according to the unit recovery scheme, determining the repair fault sequence of the construction team and the mobile power source access sequence according to the mobile power source arrangement scheme; and repairing the to-be-recovered power transmission network according to the start-up sequence, the start-up power, the repair fault sequence of the construction team, and the mobile power source access sequence.

[0124] The above embodiment repairs the to-be-recovered power transmission network according to the start-up sequence, the start-up power, the repair fault sequence of the construction team, and the mobile power source access sequence obtained by the power transmission network black start strategy optimization model, thereby reducing the load loss of the power transmission network during the repair process and improving the fault repair rate.

[0125] Preferably, the above power grid black start strategy optimization model is a linear model, so after inputting the fault state, unit state and emergency resource parameters in the model, the model can be directly solved by calling the CPLEX toolbox or other open source solvers on the MATLAB-Yalmip simulation platform.

[0126] In order to better illustrate the effectiveness of the power grid repair and recovery based on the mobile power supply provided by the above embodiment, the following will be illustrated in combination with the example of FIG. 2:

[0127] Wherein FIG. 2 is a topological structure diagram of an IEEE14 bus power system. As shown in the figure, the units in the main grid are located on buses B1, B2, B4, B13 and B4, and the start-up parameters of the units in the main grid are shown in Table 1. Due to the influence of extreme disasters, not only the power grid is powered off, but also the lines 2-3, 5-6 and 4-9 in the main grid are faulty. Among them, the charging recovery process of the line in the main grid needs to be considered when the main grid is recovered. It is assumed that the charging time of the main grid line is 1 o'clock.

[0128] It is assumed that due to typhoon disaster, the main grid failure causes large-area power failure, and the construction team and mobile power supply are used to reduce the load loss of the main grid system during the recovery process. The dispatching diagram of the construction team and mobile power supply in the main grid is shown in FIG. 3. The colored time difference represents the repair fault or access state of the construction team and mobile power supply, and the symbol "→" represents that the construction team and mobile power supply are moving or repairing and returning to the repair center.

[0129] For the recovery of the main grid power failure, the dispatch center sends the construction team to repair the faults F4-9, F5-6 and F2-3 in turn. Since the line fault in the main grid will cause the imbalance between the unit output and the load demand when the main grid is partitioned, the partition scheme can be adjusted according to the updated main grid topology after each fault is repaired, so as to reduce the load loss. Mobile power supply 1 and mobile power supply 2 start from different starting points and access non-black start units G3 and G4.

[0130] According to the fault repair and mobile power scheduling strategy, the dynamic partition decision of the main grid is shown in FIG. 4. After the main grid is powered off due to disasters, the main grid is divided into three parts by three faults. In time 1 shown in FIG. 4(a), G1 with black start capability can start to restore the load in partition I. In time 3 shown in FIG. 4(b), after two mobile powers are connected to non-black start units G3 and G4, sufficient start power is obtained in partitions II and III for restart. In partition I, when G1 completes unit self-start, it starts to provide power to restore other units and power-off loads. In time 6, F4-9 is repaired by the construction team in the main grid, and the dynamic adjustment of partitions II and III is shown in FIG. 4(c). Since the capacity of G4 is insufficient to restore all power-off loads in partition II, the loads on buses 9 and 14 are divided to partition III to be restored by units G3 and G5. At the same time, the fault F1-6 of the distribution grid is repaired, and G4 in partition II starts to provide power support for the active distribution grid to restore important loads. In time 11, the main grid fault F5-6 is repaired by the construction team, and the dynamic adjustment of partitions I and II is shown in FIG. 4(d). The load on bus 6 is divided to partition I to reduce the imbalance of units and loads in the partition. In time 15, the main grid fault F2-3 is repaired by the construction team, and since the power output and load demand of each partition are balanced, there is no need for further adjustment of the partition.

[0131] In summary, the power transmission grid repair and recovery method based on mobile power provided by the above embodiment has the following beneficial effects: unlike the assumption of no fault in the traditional method, multiple types of emergency supplies are considered for system faults, the construction team repairs fault elements and mobile power assists unit start during the black start process of the main grid, and a construction team and mobile power scheduling model is constructed; unlike the process of fixing the partition of the power transmission grid and then black starting in the traditional method, considering that fault repair will cause changes in the topology of the power transmission grid, a four-stage model of power transmission grid black start including dynamic partition, unit start path recovery and load recovery is further developed, and the power transmission grid is quickly recovered after power failure by combining fault repair and mobile power. Moreover, by considering the repair resource constraint, the demand for repair resources in the problem planning process is ensured not to exceed the stock of repair resources, and by combining the power transmission grid operation constraint, the feasibility of the final scheme is ensured; in addition, by simultaneously considering the repair resource constraint, the power transmission grid operation constraint and the power transmission grid partition constraint, the repair resource planning and the unit start sequence optimization of the power transmission grid are coupled together, the utilization rate of repair resources is improved under the condition of optimal unit start sequence, the recovery efficiency of the power transmission grid is further improved, and the load loss of the power grid is reduced.

[0132] Embodiment Two

[0133] With reference to Figure 5, a mobile power supply-based power transmission network repair and recovery device according to an embodiment of the present application comprises a model acquisition module 11, a model solving module 12, and a repair scheme implementation module 13.

[0134] Further, the model acquisition module 11 is configured to read a preset power transmission network black start strategy optimization model and parameter data obtained according to a power transmission network to be recovered; the power transmission network black start strategy optimization model is built by setting repair resource constraints, power transmission network operation constraints, and power transmission network partition constraints, with minimization of power grid load loss as an optimization objective; and the model solving module 12 is configured to initialize the power transmission network black start strategy optimization model according to the parameter data, and solve the power transmission network black start strategy optimization model by a solver to obtain a mobile power supply arrangement scheme and a unit recovery scheme of the power transmission network to be recovered; and the repair scheme implementation module 13 is configured to repair the power transmission network to be recovered according to the mobile power supply arrangement scheme and the unit recovery scheme.

[0135] Further, the repair resource constraints comprise construction team resource sub-constraints and mobile power supply resource sub-constraints; the construction team resource sub-constraints are built by construction team construction load and construction speed; and the mobile power supply resource sub-constraints are built by mobile power supply movement speed and connection state.

[0136] Further, the construction team resource sub-constraints specifically comprise:

[0137] wherein, represents whether the construction team c repairs the power transmission network fault point i at time t; represents the repair state of the construction team c at time t; tr D,i is the movement time of the construction team c from the initial position to the fault point i; i,j is the movement time of the construction team c between the fault points i and j; represents whether the construction team c completes the repair of the fault point i; s i,t represents the repair state of the fault point i; T represents the total time consumption of the entire repair and recovery process.

[0138] Further, the mobile power supply resource sub-constraints specifically comprise:

[0139] wherein, denotes the mobile power dispatching, if the mobile power m connects the power grid at time t, equals 1; is the access state of the mobile power; tr D,i denotes the time required for the mobile power to move from the starting point to the first node; tr i,j is the movement time of the mobile power between nodes i and j; is the output power of the mobile power m at time t; is the maximum output power of the mobile power m at time t; is the required start-up power of the non-black unit.

[0140] Further, the power grid partition constraint specifically includes:

[0141] wherein, is a binary partition variable representing a node, when the main grid bus i belongs to partition k at time t, equals 1, otherwise equals 0; denotes a binary partition variable of a line, when the line i-j belongs to partition k at time t, equals 1, otherwise equals 0; β i,j,t is a binary partition variable representing the line switch state, when the line i-j is closed, β i,j,t = 1, otherwise β i,j,t = 0; s i,j,t is a binary partition variable representing the line fault condition, when the line i-j is not faulty at time t, s i,j,t = 1, otherwise s i,j,t = 0.

[0142] Further, the power grid operation constraint includes: a unit start-up sub-constraint and a recovery safety sub-constraint; wherein, the unit start-up sub-constraint is built according to the start-up conditions of the black start unit and the non-black start unit; and the recovery safety sub-constraint is built according to the safety conditions of the path recovery and load recovery process of the power grid.

[0143] Further, the optimization target is obtained by acquiring a weight coefficient of each load in the power transmission network and a load demand parameter on each load bus, and combining a current recovery amount of each load.

[0144] Further, the optimization target specifically includes:

[0145] Wherein, F represents a load loss; is a weight coefficient of different loads in the power transmission network, is a load demand parameter on each load bus in the power transmission network, is a load recovery amount on bus i in partition k.

[0146] Further, the repair scheme implementation module 13 is configured to repair the power transmission network to be recovered according to the mobile power arrangement scheme and the unit recovery scheme, and includes: determining a start-up sequence and start-up power of a black-start unit and a non-black-start unit according to the unit recovery scheme, determining a fault repair sequence of a construction team and a mobile power access sequence according to the mobile power arrangement scheme; and repairing the power transmission network to be recovered according to the start-up sequence, the start-up power, the fault repair sequence of the construction team, and the mobile power access sequence.

[0147] In summary, the power transmission network repair and recovery device based on a mobile power source provided by the above embodiment has the following beneficial effects: unlike the assumption of no fault in the traditional method, multiple types of emergency supplies are considered for system failure, the construction team repairs the fault elements and the mobile power source assists the unit start-up during the main network black-start process, and a construction team and mobile power source scheduling model is constructed; unlike the process of fixing the power transmission network into partitions and then performing black-start in the traditional method, considering that fault repair will cause changes in the topology of the power transmission network, a four-stage model of power transmission network black-start including dynamic partitioning, unit start-up path recovery, and load recovery is further developed, and the power transmission network is quickly recovered after a power failure in combination with fault repair and mobile power sources. Moreover, by considering the repair resource constraints, it is ensured that the demand for repair resources in the problem planning process will not exceed the stock of repair resources itself, and in combination with the power transmission network operation constraints, the feasibility of the final scheme is ensured; in addition, by simultaneously considering the repair resource constraints, the power transmission network operation constraints, and the power transmission network partitioning constraints, the repair resource planning and the unit start-up sequence optimization of the power transmission network are coupled together, which can improve the utilization rate of repair resources and further improve the recovery efficiency of the power transmission network and reduce the load loss of the power grid under the condition of ensuring the optimal unit start-up sequence.

[0148] Embodiment Three

[0149] On the basis of the above-mentioned embodiments of the power supply based power transmission network repair and recovery method, another embodiment of the present application provides a power supply based power transmission network repair and recovery terminal device, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, and when the computer program is executed by the processor, the power supply based power transmission network repair and recovery method of any one of the embodiments of the present application is realized.

[0150] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present application. The one or more modules can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the power supply based power transmission network repair and recovery device.

[0151] The power supply based power transmission network repair and recovery device can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The power supply based power transmission network repair and recovery terminal device can include, but is not limited to, a processor and a memory.

[0152] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The processor is a control center of the power grid repair and recovery device based on the mobile power supply, and connects various parts of the power grid repair and recovery device based on the mobile power supply through various interfaces and lines. The memory can be used to store the computer programs and / or modules, and the processor realizes various functions of the power grid repair and recovery device based on the mobile power supply by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area. The program storage area can store an operating system, at least one application required by a function, etc. The data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a nonvolatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state memory devices.

[0153] Embodiment Four

[0154] On the basis of the above-mentioned embodiments of the power grid repair and recovery method based on the mobile power supply, another embodiment of the present application provides a storage medium including a stored computer program, wherein when the computer program runs, the device where the storage medium is located executes the power grid repair and recovery method based on the mobile power supply of any one of the embodiments of the present application.

[0155] In this embodiment, the storage medium described above is a computer readable storage medium, the computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0156] The above specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only for specific embodiments of the present application and is not intended to limit the protection scope of the present application. It is particularly pointed out that any modification, equivalent replacement, improvement, etc. made by those skilled in the art within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for power transmission network repair and recovery based on mobile power supply, characterized in that, The method comprises the following steps: reading a preset power grid black start strategy optimization model and parameter data obtained according to a power grid to be restored; the power grid black start strategy optimization model is built by setting repair resource constraints, power grid operation constraints and power grid partition constraints, and an optimization target is to minimize power grid load loss; the power grid black start strategy optimization model is initialized according to the parameter data, and a mobile power supply arrangement scheme and a unit restoration scheme of the power grid to be restored are obtained by solving the power grid black start strategy optimization model through a solver; the power grid to be restored is repaired according to the mobile power supply arrangement scheme and the unit restoration scheme.

2. The mobile power supply based power grid emergency repair and recovery method of claim 1, wherein, the repair resource constraints comprise construction team resource sub-constraints and mobile power supply resource sub-constraints; the construction team resource sub-constraints are built by construction team construction load and construction speed; the mobile power supply resource sub-constraints are built by mobile power supply moving speed and connection state.

3. The mobile power supply based power grid emergency repair and recovery method of claim 2, wherein, The construction team resource sub-constraints specifically include: wherein representing whether the construction crew c repaired the fault point i of the power transmission grid at time t; tr represents the repair state of the construction team c at time t; tr D,i tr represents the movement time of the construction team c between the start position and the fault point i; i,j tr represents the movement time of the construction team c between the fault points i and j; represents whether the construction team c completes the repair of the fault point i at time t; s i,t represents the repair state of the fault point i at time t; T represents the total time consumption of the entire repair recovery process.

4. The mobile power supply based power grid emergency repair and recovery method of claim 2, wherein, The mobile power resource sub-constraint specifically includes: wherein, represents the dispatch of the mobile power supply, if the mobile power supply m is connected to the power grid at time t, equal to 1; is the access state of the mobile power supply at time t; tr D,i denotes the time required for the mobile power supply to move from the starting point to the first node; tr i,j is the movement time of the mobile power supply between nodes i and j; output power of the mobile power supply m at time t; maximum output power of the mobile power supply m at time t; the required start-up power of non-black unit.

5. The mobile power supply based power grid emergency repair and recovery method of claim 1, wherein, The power transmission network partition constraint specifically comprises: wherein, To represent the binary partition variable of a node, when the main grid bus i belongs to the partition k at time t, Equal to 1, otherwise equal to 0; a binary partition variable representing a line, the line i-j belongs to partition k at time t, Equal to 1, otherwise equal to 0; β i,j,t is a binary partition variable representing the state of the line switch, β i,j,t = 1 when the line i-j is closed at time t, otherwise β i,j,t = 0; s i,j,t is a binary partition variable representing the state of the line fault, s i,j,t = 1 when the line i-j is not faulty at time t, otherwise s i,j,t = 0.

6. The mobile power supply based power grid emergency repair and recovery method of claim 1, wherein, the power grid operation constraints comprise unit start-up sub-constraints and restoration safety sub-constraints; the unit start-up sub-constraints are built according to start-up conditions of black start units and non-black start units; the restoration safety sub-constraints are built according to safety conditions of path restoration and load restoration processes of the power grid.

7. The mobile power supply based power grid emergency repair and recovery method of claim 1, wherein, the optimization target is calculated by obtaining weight coefficients of each load in the power grid and load demand parameters on each load bus, and combining the restoration amount of each load at present.

8. The mobile power supply based power grid emergency repair and recovery method of claim 7, wherein, The optimization target specifically comprises: wherein F represents a load loss; a weight coefficient for different loads in a power transmission network; a load demand parameter for each load bus in the transmission grid; the load restoration amount on bus i in partition k.

9. The mobile power supply based power grid emergency repair and recovery method of claim 1, wherein, the power grid to be restored is repaired according to the mobile power supply arrangement scheme and the unit restoration scheme, which comprises: determining start-up sequences and start-up power of black start units and non-black start units according to the unit restoration scheme, and determining construction team fault repair sequences and mobile power supply access sequences according to the mobile power supply arrangement scheme; repairing the power grid to be restored according to the start-up sequences, start-up power, construction team fault repair sequences and mobile power supply access sequences.

10. A mobile power supply based power transmission network repair and recovery device, characterized in that, The method comprises the following steps: a model obtaining module, a model solving module and a repair scheme implementation module; the model obtaining module is configured to read a preset power grid black start strategy optimization model and parameter data obtained according to a power grid to be restored; the power grid black start strategy optimization model is built by setting repair resource constraints, power grid operation constraints and power grid partition constraints, and an optimization target is to minimize power grid load loss; the model solving module is configured to initialize the power grid black start strategy optimization model according to the parameter data, and obtain a mobile power supply arrangement scheme and a unit restoration scheme of the power grid to be restored by solving the power grid black start strategy optimization model through a solver; the repair scheme implementation module is configured to repair the power grid to be restored according to the mobile power supply arrangement scheme and the unit restoration scheme.

Images