CN112701688A - Power distribution network fault recovery method considering emergency electric vehicle and terminal equipment - Google Patents
Power distribution network fault recovery method considering emergency electric vehicle and terminal equipment Download PDFInfo
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Abstract
The invention is suitable for the technical field of power grids, and provides a power distribution network fault recovery method and terminal equipment considering emergency electric vehicles, wherein the method comprises the following steps: collecting power distribution network parameters, and carrying out islanding according to the power distribution network parameters to obtain a target islanding scheme; establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions; and solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle. The method comprehensively considers multiple factors to establish a power distribution network fault recovery model and solve the power distribution network fault recovery model to obtain an optimal access strategy of the emergency electric vehicle, the access point is reasonable in design, resources are reasonably utilized, and the emergency electric vehicle has a good fault recovery effect.
Description
Technical Field
The invention belongs to the technical field of power grids, and particularly relates to a power distribution network fault recovery method considering emergency electric vehicles and terminal equipment.
Background
With the development of society, the demand for resources is increasing, and electric vehicles are vigorously developed. After a power distribution network has multiple faults, multiple power loss areas are caused due to the fact that multiple fault points exist, and therefore needed resources are more. The electric automobile is used as an emergency scheduling resource, and can provide electric energy for a fault island to participate in fault recovery when a power distribution network fails.
In the prior art, a reasonable planning method is lacked for the electric vehicle to participate in fault recovery, so that resources cannot be reasonably utilized, and the electric vehicle is not ideal in the fault recovery effect.
Disclosure of Invention
In view of this, the embodiment of the invention provides a power distribution network fault recovery method considering emergency electric vehicles and a terminal device, so as to solve the problem that in the prior art, a reasonable planning method is not available for electric vehicle participation fault recovery, and the electric vehicle participation fault recovery effect is not ideal.
The first aspect of the embodiment of the invention provides a power distribution network fault recovery method considering emergency electric vehicles, which comprises the following steps:
collecting power distribution network parameters, and carrying out islanding according to the power distribution network parameters to obtain a target islanding scheme;
establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions;
and solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
A second aspect of an embodiment of the present invention provides a power distribution network fault recovery device considering an emergency electric vehicle, including:
the island division module is used for collecting power distribution network parameters and carrying out island division according to the power distribution network parameters to obtain a target island division scheme;
the model establishing module is used for establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions;
and the model solving module is used for solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
A third aspect of the embodiments of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method for recovering from a power distribution network fault in consideration of an emergency electric vehicle, as provided in the first aspect of the embodiments of the present invention.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of the method for recovering from a power distribution network fault in consideration of an emergency electric vehicle, as provided in the first aspect of the embodiments of the present invention.
The embodiment of the invention provides a power distribution network fault recovery method considering emergency electric vehicles, which comprises the following steps: collecting power distribution network parameters, and carrying out islanding according to the power distribution network parameters to obtain a target islanding scheme; establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions; and solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle. In the embodiment of the invention, the power distribution network fault recovery model is established and solved by comprehensively considering various factors to obtain the optimal access strategy of the emergency electric vehicle, the access point is reasonable in design, resources are reasonably utilized, and the effect of the emergency electric vehicle participating in fault recovery is good.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an implementation of a power distribution network fault recovery method considering an emergency electric vehicle according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a power distribution network fault recovery device considering an emergency electric vehicle according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Referring to fig. 1, an embodiment of the present invention provides a power distribution network fault recovery method considering an emergency electric vehicle, including:
s101: collecting power distribution network parameters, and carrying out islanding according to the power distribution network parameters to obtain a target islanding scheme;
s102: establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions;
s103: and solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
When multiple faults occur in the power distribution network, firstly, the fault position needs to be determined and the fault point needs to be isolated, secondly, the distributed power supply and the interconnection switch are used for supplying power to the power-losing load, and then the emergency electric automobile is dispatched and transported to serve as a supplementary power supply to recover the power distribution network. In the embodiment of the invention, firstly, the power distribution network is divided into islands, then the emergency electric vehicle supplies power to each island, multiple factors are comprehensively considered, a power distribution network fault recovery model is established by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as a first objective function, and an access strategy of the emergency electric vehicle is obtained by solving. The emergency electric vehicle is dispatched by adopting the strategy, so that the system loss can be reduced to the greatest extent, the performance of the system is improved, the dispatching time of the emergency electric vehicle is short, and the resources are fully and reasonably utilized. The emergency electric vehicle access strategy obtained by the method provided by the embodiment of the invention is reasonable in design, and the emergency electric vehicle has a good fault recovery effect.
In some embodiments, S101 may include:
s1011: establishing a primary island division model by using the maximum second objective function of the power loss load recovered in the island, and solving the primary island division model to obtain a primary island division scheme;
s1012: and correcting the primary island division scheme by taking the minimum accumulated and missing electric energy in the island as a third objective function to obtain a target island division scheme.
According to the method, a two-stage island division principle is adopted, firstly, a primary island division model is established by using a second objective function with the maximum power loss load recovered in an island, and a primary island division scheme is obtained through solving.
In some embodiments, the second objective function is calculated by:
wherein, ω isiIs a nodei corresponding to the load weight coefficient, EL,iIs the electrical load of node i, xiState quantity, x, of node iiWhen 1 denotes formation of an island, xi0 means no island is formed; i is 1,2, … n, n is the number of nodes.
In some embodiments, the primary islanding model further comprises: a second constraint.
The second constraint includes:
xi∈{0,1}，i＝1,2…n (3)
xj>xi (4)
wherein x isjFor a parent node, Q, corresponding to node iiIs the shortage of electric energy in the island. QES,iCapacity of node i to store energy, QPV,iPhotovoltaic power generation electric energy of node i in island time period, QW,iFor the wind power generation electric energy of node i in the island time period, QcL,iThe electric energy is required by the general load of the node i in the island time period; pcL,i(t) load Power of node i at time t, PW,i(t) is the maximum generating power of the wind power of a node i at the moment t; pPV,i(t) is the maximum power generation power of the photovoltaic of the node i at the moment t; eES,iIs the energy storage capacity, SOC, of node iES,iStoring the state of charge of the node i; t is t0As fault start time, tendIs the fault end time.
The distributed energy source does not have the capacity of adjusting the output power and maintaining the voltage and the frequency in the island to be stable. The energy storage device has the characteristic of bidirectional controllability, and can participate in power supply and demand balance in real time and stabilize wind and light output waveforms. Therefore, the energy storage device is matched with the wind-solar system to form a reliable DG, and the reliable DG jointly supplies power to the island system. The method comprises the steps of considering fluctuation states of a distributed power supply and loads in the whole time period, determining a primary island according to a maximum power supply area of the distributed power supply, carrying out depth-first search by taking the distributed power supply as a root node, checking maximum remaining electric energy constraint, and forming a connected area by the loads which can be contained under the constraint condition to form an island. In the second constraint condition, equation 2 indicates that the power of the power supply is sufficient, and equation 4 indicates that when a certain node is connected into the island, all load nodes on the process path connected with the node of the power supply should be included in the island.
In some embodiments, the formula for calculating the third objective function may be:
wherein, Ps(t) is the supply power, P, missing in the island at time tES,iAnd (t) is the charge and discharge power stored by the node i at the time t.
The electric energy is sufficient in the whole time period, which is a necessary condition for forming an island; in the process of primary island formation, sufficient power supply of power supplies in the whole recovery period is ensured, but because the existence of controllable loads is not considered, and the power balance at any moment can not be ensured, the scheme needs to be corrected by utilizing the optimal scheduling of power among the power supplies and the coordination of the controllable loads. Loads in the power distribution network can be divided into controllable loads and uncontrollable loads, the controllable loads generally have load control terminals, the loads can be removed through switching operation, and the reliability of island operation can be ensured through the control of the controllable loads and the power adjustment between islands in the fault recovery of the power distribution network. The load is modeled as follows:
PL,i(t)＝PcL,i(t)-biPfL,i(t) (8)
wherein, biFor blocks of controllable load switchesThe amount of the policy, PfL,i(t) active Power of the controllable load, PcL,i(t) is the total load.
The net output power in the island that needs to be checked first can be positive in every time interval during the island. The output plan of each power supply is determined by optimizing the output of each power supply in the island operation period, and whether the output of the power supply is enough or not is judged. The optimized constraints are as follows:
0≤QES,i(t)≤EES,i (12)
wherein the content of the first and second substances,
in order to store the maximum charging power for energy,
in order to store the maximum discharge power,
in order to be in a charged state for the stored energy,
is the discharged state of stored energy.
The optimization aims to judge whether the island can continuously and safely operate, PsAnd (t) is the lack of electric energy, which means that when the power supply in the island is sufficient at a certain moment, the lack of electric energy is 0, and when the power shortage exists in the island at a certain moment, the power shortage is taken as lackThe lost power. The target function represents the power supply electric energy which is lacked in the whole time period of the island, when the target function is 0, the power balance can be met at all times, and when the target function is more than 0, the power shortage exists at a certain time. In the actual calculation process, each island needs to be optimized, and in order to facilitate actual operation, the model is discretized, wherein the time is shortened to 20 minutes in the process, and the wind-light output, the load and the power of stored energy are unchanged in one time period.
In some embodiments, S102 may include:
s1021: dividing loads in the power distribution network into multiple types, and determining loss coefficients corresponding to the types respectively;
s1022: determining a first objective function according to the loss coefficients corresponding to the types respectively;
s1023: and establishing a power distribution network fault recovery model according to the first objective function.
In some embodiments, the multiple types include: industrial, commercial and residential loads;
the calculation formula of the loss coefficient alpha corresponding to the industrial load is as follows:
α＝0.2429lnt-0.2756 (13)
the loss coefficient β corresponding to the commercial load is calculated by the formula:
β＝0.1715lnt+0.8338 (14)
the calculation formula of the loss coefficient gamma corresponding to the residential load is as follows:
γ＝0.7751lnt-3.7198 (15)
where t is the current time period.
The load shows different time-varying characteristics in different seasons and different time periods. And load prediction is carried out on each node of the power distribution network in the day ahead, and a daily load time-varying curve of each node of the power distribution network is obtained. On the basis, the daily load curve is subjected to integral calculation, and the power consumption requirement of each node in any time period can be obtained as follows:
wherein, Loadi(t) Power demand of node i in time period t, fi(x) As a function of the load curve of node i. After a fault occurs, setting the expected fault repairing time, and selecting a corresponding time period to obtain the load level and the power supply quantity demand of each node of the power distribution network in the fault time period.
The topological network of the power distribution network is complex, when multiple faults occur in the power grid, large-area load power loss is caused, in the actual rush-repair process, all fault points cannot be rush-repaired at the same time, namely, the power failure time of all loads is different, and the loss caused by power loss is related to the power loss time. In the prior art, loads are mostly simply divided into primary loads, secondary loads and tertiary loads, and the influence of power loss time is not described, so that the traditional power loss load grade coefficient is not applicable any more, and the power loss after a fault cannot be accurately measured. On the basis of original load grade division, time-varying characteristics are considered, a loss coefficient calculation formula corresponding to various loads is obtained through fitting the relation between the power failure duration and the power failure loss of the various loads, and the time-varying loss coefficient of the loads is determined. According to the embodiment of the invention, the time-varying property of the load is fully considered, the loss coefficient corresponding to each type of load is determined, a power distribution network fault recovery model considering the time-varying property is further established, and the obtained access strategy of the emergency electric vehicle is more reasonable.
In some embodiments, the first objective function may include:
Tα,λLi＝Tli+xjitji
min f2＝min[max{Ts1,Ts2,…，Tse,…,Tsm}] (18)
wherein, wλ,i,tIs the ith minus of lambda loadThe weight coefficient of the load, wherein lambda belongs to {1,2,3 }; t isα,λLiThe power failure time T of lambda kinds of power failure loads in the ith industrial loadβ,λLiFor the power failure time of lambda kinds of power-loss loads in the ith commercial load, Tγ,λLiThe power failure time of lambda type power failure load in the ith residential load, Pα,λLi,tIs the power of lambda kinds of power-off loads in the ith industrial load in the t period, Pβ,λLi,tIs the power of lambda power-loss loads in the ith commercial load in the t period, Pγ,λLi,tPower of lambda kinds of electricity loss load in ith residential load in T period, TliFor dispatching the power-off time of the ith power-off load before the emergency electric vehiclejiFor the state variable of dispatching the emergency electric vehicle, x is when the emergency electric vehicle is dispatched to the ith node from the jth nodeji1, otherwise xji＝0，tjiThe journey time from the jth load node to the ith load node is obtained. T isseTime for commissioning the e-th emergency electric vehicle; f. of1For loss of power to the system, f2The time for dispatching the emergency electric automobile is shortened.
In some embodiments, the power distribution network fault recovery model may further include:
considering the charge and discharge power constraint, the charge and discharge state constraint, the energy storage capacity constraint and the like of the energy storage, discretizing the energy storage power constraint, the charge and discharge state constraint, the energy storage capacity constraint and the like, and establishing an energy storage submodel as follows:
wherein eta ischCharging efficiency for energy storage; etadisThe discharge efficiency of stored energy.
The emergency electric automobile has the characteristic of mobility, can be flexibly connected into a regional power grid, and in the actual fault recovery process, the emergency electric automobile is connected into a node required in a power distribution network for charging and discharging, is equivalent to a distributed power supply, and can form an island under the condition of meeting the power supply constraint of the emergency electric automobile to recover power supply for important loads. The sub-model of the emergency electric vehicle is as follows:
EEV(t+1)＝ηEVcPEVc(t)Δt-ηEVdPEVd(t)Δt+EEV(t) (21)
EEVmin≤EEV(t)≤EEVmax (23)
δEVc(t)+δEVd(t)≤1 (25)
wherein eta isEVcFor emergency electric vehicle charging efficiency, etaEVdFor emergency electric vehicle discharge efficiency, PEVc(t) charging Power of Emergency electric vehicle, P, for a time period of tEVd(t) charging Power of Emergency electric vehicle for t time period, EEV(t) Emergency electric vehicle Capacity at time t, EEV(t +1) Emergency electric vehicle Capacity at time t +1, Eev(t) capacity of a single emergency electric vehicle for a period of t, EEVminMinimum available capacity for emergency electric vehicles, EEVmaxFor the maximum available capacity of an emergency electric vehicle, deltaEVc(t) emergency electric vehicle charging status at time t, δEVd(t) emergency electric vehicle discharge state at time t, PEVc·minMinimum charging power, P, for emergency electric vehiclesEVd·minMinimum discharge power, P, for emergency electric vehiclesEVc·maxMaximum charging power, P, for emergency electric vehiclesEVd·maxThe maximum discharge power of the emergency electric automobile.
After the power distribution network breaks down, the emergency electric vehicles receive the dispatching instruction sent by the dispatching center, then the emergency power supply task is executed, the optimal access point is reasonably selected, and only one node can be connected with one emergency electric vehicle.
Wherein e isie(t) is the dispatching variable of the emergency electric vehicle in the period of t, eie(t) ═ 1 indicates that the emergency electric vehicle e is connected to the nodes i, eie(t) ═ 0 indicates that the emergency electric vehicle e is not connected to the node i; vis(t) is an islanding result variable V in the period tis(t) ═ 1 indicates that node i belongs to island s, where VisWhen (t) ═ 0, the node i does not belong to the island s.
The distributed power supply submodel is as follows:
the influence factors of photovoltaic output are mainly the radiation degree of sunlight, the photoelectric conversion efficiency and the like, and the output power is as follows:
wherein S isnIs the area of the nth cell plate, ηnAn empirical value of photoelectric conversion efficiency, rPVThe radiation degree of the sunlight, and N is the number of the cell panels.
The influence factor of the fan output is mainly wind speed, wind energy is converted into electric energy, and the output power is as follows:
wherein v isciFor cutting into the wind speed, vcoTo cut out wind speed, vNAt rated wind speed, PNRated output power of fan。
The output of new energy such as wind power, photovoltaic and the like has fluctuation, an island cannot be independently formed to supply power to a load, and the island is required to be jointly formed with power supplies with certain adjusting capacity such as energy storage and the like to supply power.
In some embodiments, S103 may include:
s1031: according to the target island division scheme, a depth-first search algorithm and a multi-target discrete bacterium population chemotaxis algorithm are adopted to solve the power distribution network fault recovery model, and an access strategy of the emergency electric vehicle is obtained.
After the distribution network trouble, at first fix a position and keep apart the back to the trouble, acquire required basic data among the recovery process: the method comprises the steps of taking the topological structure of a network, the position of a fault point, the repair time of each fault, the power failure time of the fault and the like into consideration, taking the time-varying characteristics of wind power, photovoltaic and various loads and factors such as the dispatching time of an emergency electric vehicle into consideration, planning to take 1h as an island division time interval, and then determining the output of a distributed power supply and the change trend of load demands in the multi-fault power failure time. And S101, carrying out island division on the power distribution network, judging whether important loads in each island are not restored to supply power, if the important loads in each island are not restored to supply power, accessing the emergency electric vehicle, and judging whether the emergency electric vehicle is accessed.
And if the fault first-aid repair is finished, judging whether grid-connected operation can be performed or not, detecting whether all the operated networks can stably operate or not, and otherwise, performing load shedding operation. And finally, checking whether all the fault points are repaired completely, and if the fault points still exist, performing island division again until all the fault points are repaired completely.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Referring to fig. 2, an embodiment of the present invention further provides a power distribution network fault recovery device considering an emergency electric vehicle, including:
the islanding module 21 is configured to collect power distribution network parameters and perform islanding according to the power distribution network parameters to obtain a target islanding scheme;
the model establishing module 22 is used for establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions;
and the model solving module 23 is used for solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
In some embodiments, the islanding module 21 may include:
the primary island division unit 211 is used for establishing a primary island division model by using the maximum power loss recovery load in an island as a second objective function, and solving the primary island division model to obtain a primary island division scheme;
and the correcting unit 212 is configured to correct the primary island division scheme by using the minimum accumulated missing electric energy in the island as a third objective function, so as to obtain a target island division scheme.
In some embodiments, the second objective function is calculated by:
wherein, ω isiLoad weight coefficient for node i, EL,iIs the electrical load of node i, xiState quantity, x, of node iiWhen 1 denotes formation of an island, xi0 means no island is formed; i is 1,2, … n, n is the number of nodes.
In some embodiments, the model building module 22 may include:
a loss coefficient determining unit 221, configured to divide loads in the power distribution network into multiple types, and determine loss coefficients corresponding to the types respectively;
an objective function determining unit 222, configured to determine a first objective function according to the loss coefficients corresponding to the respective types;
and a fault model establishing unit 223, configured to establish a power distribution network fault recovery model according to the first objective function.
In some embodiments, the multiple types include: industrial, commercial and residential loads;
the calculation formula of the loss coefficient alpha corresponding to the industrial load is as follows:
α＝0.2429lnt-0.2756 (13)
the loss coefficient β corresponding to the commercial load is calculated by the formula:
β＝0.1715lnt+0.8338 (14)
the calculation formula of the loss coefficient gamma corresponding to the residential load is as follows:
γ＝0.7751lnt-3.7198 (15)
where t is the current time period.
In some embodiments, model solving module 23 may include:
and the solving unit 231 is used for solving the power distribution network fault recovery model by adopting a depth-first search algorithm and a multi-target discrete bacteria population chemotaxis algorithm according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the terminal device is divided into different functional units or modules to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the above-mentioned apparatus may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 3, the terminal device 4 of this embodiment includes: one or more processors 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processors 40. The processor 40, when executing the computer program 42, implements the steps in each of the above-described embodiments of the method for recovering from a fault in a power distribution network in consideration of an emergency electric vehicle, such as the steps S101 to S103 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the various modules/units in the power distribution network fault recovery device embodiment described above in connection with emergency electric vehicles, such as the functions of the modules 21 to 23 shown in fig. 2.
Illustratively, the computer program 42 may be divided into one or more modules/units, which are stored in the memory 41 and executed by the processor 40 to accomplish the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 42 in the terminal device 4. For example, the computer program 42 may be partitioned into the islanding module 21, the model building module 22, and the model solving module 23.
The islanding module 21 is configured to collect power distribution network parameters and perform islanding according to the power distribution network parameters to obtain a target islanding scheme;
the model establishing module 22 is used for establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions;
and the model solving module 23 is used for solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
Other modules or units are not described in detail herein.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 41 may be an internal storage unit of the terminal device, such as a hard disk or a memory of the terminal device. The memory 41 may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal device. Further, the memory 41 may also include both an internal storage unit of the terminal device and an external storage device. The memory 41 is used for storing the computer program 42 and other programs and data required by the terminal device. The memory 41 may also be used to temporarily store data that has been output or is to be output.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed terminal device and method may be implemented in other ways. For example, the above-described terminal device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the embodiments described above may be implemented by a computer program, which is stored in a computer readable storage medium and used by a processor to implement the steps of the embodiments of the methods described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A power distribution network fault recovery method considering emergency electric vehicles is characterized by comprising the following steps:
collecting power distribution network parameters, and carrying out islanding according to the power distribution network parameters to obtain a target islanding scheme;
establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions;
and solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
2. The method for recovering the power distribution network fault considering the emergency electric vehicle according to claim 1, wherein the islanding is performed according to the power distribution network parameters to obtain a target islanding scheme, and the method comprises the following steps:
establishing a primary island division model by using the maximum power loss load recovered in the island as a second objective function, and solving the primary island division model to obtain a primary island division scheme;
and correcting the primary island division scheme by taking the minimum accumulated and missing electric energy in the island as a third objective function to obtain the target island division scheme.
3. The method for recovering from a fault in a power distribution network of an emergency electric vehicle according to claim 2, wherein the second objective function is calculated by the formula:
wherein, ω isiLoad weight coefficient for node i, EL,iIs the electrical load of node i, xiIs the state quantity, x, of node iiWhen 1 denotes formation of an island, xi0 means no island is formed; i is 1,2, … n, n is the number of nodes.
4. The method for recovering the power distribution network fault considering the emergency electric vehicle as claimed in any one of claims 1 to 3, wherein the establishing the power distribution network fault recovery model with the minimum system power loss and the minimum emergency electric vehicle dispatching time as the first objective function comprises:
dividing loads in the power distribution network into multiple types, and determining loss coefficients corresponding to the types respectively;
determining the first objective function according to the loss coefficients respectively corresponding to the types;
and establishing the power distribution network fault recovery model according to the first objective function.
5. The method for fault recovery of a power distribution network of a consideration emergency electric vehicle of claim 4, wherein the plurality of types includes: industrial, commercial and residential loads;
the calculation formula of the loss coefficient alpha corresponding to the industrial load is as follows:
α＝0.2429lnt-0.2756
the calculation formula of the loss coefficient beta corresponding to the commercial load is as follows:
β＝0.1715lnt+0.8338
the calculation formula of the loss coefficient gamma corresponding to the resident load is as follows:
γ＝0.7751lnt-3.7198
where t is the current time period.
6. The method for recovering the power distribution network fault considering the emergency electric vehicle according to any one of claims 1 to 3, wherein the solving the power distribution network fault recovery model according to the target islanding scheme to obtain the access strategy of the emergency electric vehicle comprises:
and solving the power distribution network fault recovery model by adopting a depth-first search algorithm and a multi-target discrete bacterium population chemotaxis algorithm according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
7. A distribution network fault recovery device considering emergency electric vehicles is characterized by comprising:
the island division module is used for collecting power distribution network parameters and carrying out island division according to the power distribution network parameters to obtain a target island division scheme;
the model establishing module is used for establishing a power distribution network fault recovery model by taking the minimum system power loss and the minimum emergency electric vehicle dispatching time as first objective functions;
and the model solving module is used for solving the power distribution network fault recovery model according to the target island division scheme to obtain an access strategy of the emergency electric vehicle.
8. The fault recovery device for a power distribution network considering emergency electric vehicles of claim 7, wherein the islanding module comprises:
the primary island division unit is used for establishing a primary island division model by using the maximum power loss recovery load in an island as a second objective function, and solving the primary island division model to obtain a primary island division scheme;
and the correction unit is used for correcting the primary island division scheme by taking the minimum accumulated and missing electric energy in the island as a third objective function to obtain the target island division scheme.
9. Terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the method for fault recovery of a power distribution network of a vehicle in consideration of emergency as claimed in any one of claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of a method for fault recovery of a power distribution network of a consideration emergency electric vehicle according to any one of claims 1 to 6.
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