CN108565856B - Method and device for determining power supply reliability, storage medium and processor - Google Patents
Method and device for determining power supply reliability, storage medium and processor Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/02—Details
- H02H3/06—Details with automatic reconnection
- H02H3/066—Reconnection being a consequence of eliminating the fault which caused disconnection
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/261—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations
- H02H7/262—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations involving transmissions of switching or blocking orders
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention discloses a method and a device for determining power supply reliability, a storage medium and a processor. Wherein, the method comprises the following steps: determining each network group model in the power grid, wherein at least one network group model exists in the power grid, and the network group model consists of equipment nodes with a connection relation; after the network group model fails, acquiring time information required by the failure recovery of the network group model, wherein the time information comprises: the power failure time of each equipment node in the network group model; and determining a power supply reliability index of the power grid according to the time information, wherein the power supply reliability index is used for reflecting the reliability of power supply of the power grid. The method solves the technical problems of large operation amount and low precision of the method for determining the reliability of the power grid in the prior art.
Description
Technical Field
The invention relates to the field of power grids, in particular to a method and a device for determining power supply reliability, a storage medium and a processor.
Background
In the related art, the commonly used power supply reliability evaluation method for the power distribution network mainly comprises the following steps: analytical methods and simulation methods.
However, the conventional analytical method mainly has the following disadvantages: 1) the calculation amount is increased sharply with the increase of the system scale; 2) only a limited number of load levels can be considered; 3) related events are not easily handled.
The following disadvantages mainly exist in the conventional simulation algorithm: 1) has obvious statistical properties; 2) the close correlation between the calculation time and the calculation accuracy often requires a long calculation time in order to obtain a high reliability index.
Aiming at the problems of large operation amount and low precision of the method for determining the reliability of the power grid in the prior art, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining power supply reliability, a storage medium and a processor, which are used for at least solving the technical problems of large operation amount and low precision of a method for determining power grid reliability in the prior art.
According to an aspect of the embodiments of the present invention, there is provided a method for determining power supply reliability, including: determining each network group model in the power grid, wherein at least one network group model exists in the power grid, and the network group model consists of equipment nodes with a connection relation; after the network group model fails, acquiring time information required by the failure recovery of the network group model, wherein the time information comprises: the power failure time of each equipment node in the network group model; and determining a power supply reliability index of the power grid according to the time information, wherein the power supply reliability index is used for reflecting the reliability of power supply of the power grid.
Optionally, determining each network group model in the power grid comprises: scanning the power grid to obtain a first model, wherein the scanning mode is that the power grid is scanned to the tail end of each branch circuit from a transformer substation or a bus along a line, and the first model is a model before the simplification of a network group model; and storing the scanned equipment and the attribute of the equipment.
Optionally, after the scanning the power grid to obtain the first model, the method includes: simplifying the first model to obtain a network group model; according to the network group model, acquiring the state of the equipment with the disconnection function, wherein the state comprises the following steps: an on state and an off state; and determining the operation mode of the power grid according to the state of the equipment with the on-off function.
Optionally, the simplifying the first model to obtain a network group model includes: using other devices except the device with the disconnection function as a node in the network group model, and setting the attributes of two ends of the device with the disconnection function, wherein the attributes comprise: connection endpoints for connecting the device nodes, and an endmost point in the network group model that is not connected to a device node in the network group model.
Optionally, determining a power supply reliability index of the power grid according to the time information includes: acquiring time information of each load point in each equipment node; determining a power supply reliability index of each load point according to the time information of each load point; determining a power supply reliability index of the network group according to the power supply reliability index and the distribution transformation capacity of each load point in the network group model; and determining the power supply reliability index of the power grid according to the power supply reliability index and the distribution transformation capacity of each network group in the power grid.
Optionally, the power supply reliability index of each load point is determined by:
wherein, ASAINRepresenting the power supply reliability index of each load point, T representing the statistical period, TNRepresenting the power failure time of the load point in the statistical period; determining a power supply reliability indicator for each network group by: ASAIM＝
Wherein, ASAIMRepresenting the power supply reliability index, P, of each network groupAIndicating the distribution capacity, P, of the load point ANThe distribution capacity of the load point N is shown; determining a power supply reliability index of the power grid by the following method:
wherein, PαRepresenting the distribution capacity, P, of the network group alphaMRepresenting the distribution capacity of the network group M.
According to another aspect of the embodiments of the present invention, there is provided a power supply reliability determination apparatus including: a first determination module for determining each network group model in the electrical network, wherein there is at least one network group model of the electrical network,
the network group model consists of equipment nodes with connection relations; the acquisition module is used for acquiring time information required by fault recovery of the network group model after the fault of the network group model, wherein the time information comprises: the power failure time of each equipment node in the network group model; and the second determining module is used for determining a power supply reliability index of the power grid according to the time information, wherein the power supply reliability index is used for reflecting the reliability of power supply of the power grid.
Optionally, the second determining module includes: the acquisition unit is used for acquiring the time information of each load point in each equipment node; the first determining unit is used for determining the power supply reliability index of each load point according to the time information of each load point; the second determining unit is used for determining the power supply reliability index of the network group according to the power supply reliability index and the distribution transformation capacity of each load point in the network group model; and the third determining unit is used for determining the power supply reliability index of the power grid according to the power supply reliability index and the distribution transformation capacity of each network group in the power grid.
According to another aspect of the embodiments of the present invention, there is provided a storage medium including a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute the above power supply reliability calculation method.
According to another aspect of the embodiments of the present invention, there is provided a processor, configured to execute a program, where the program executes the method for calculating the power supply reliability.
In the embodiment of the invention, the actual operation mode of the power grid and the operation mode after the fault is obtained by dividing the network groups, and the actual fault power failure time caused by the fault is calculated, so that the aim of accurately acquiring the reliability of the power grid is achieved, the technical effect of improving the reliability and the precision of the power grid is realized, and the technical problems of large operation amount and low precision of the determination method of the reliability of the power grid in the prior art are solved.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of determining power supply reliability according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an alternative power grid system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an alternative pre-simplified network group model according to an embodiment of the invention;
FIG. 4 is a schematic diagram of an alternative network group model according to an embodiment of the present invention;
fig. 5 is a block diagram of a power supply reliability determination apparatus according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment for power reliability determination, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flow chart of determining power supply reliability according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, determining each network group model in the power grid, wherein at least one network group model exists in the power grid, and each network group model consists of equipment nodes with a connection relation;
in the embodiment of the application, a power grid is divided into a plurality of network groups, and a model of each network group in the power grid is determined by acquiring connection modes between equipment nodes and equipment in the power grid, wherein the acquisition modes of the connection modes between the equipment nodes and the equipment in the power grid include but are not limited to: the method comprises the following steps of obtaining and receiving information sent by each device in the power grid through a third-party device and a third-party server, or in any combination form, wherein the information comprises the following information: device identification, device location, device status, associated device information, etc., wherein the network group model is determined by, but not limited to: scanning the power grid, wherein the scanning mode is that the power grid is scanned to the tail end of each branch circuit from a transformer substation or a bus along a line to obtain a first model of a network group, the first model is a model before the model of the network group is simplified, and scanned equipment and attributes of the equipment are stored, wherein the attributes comprise at least one of the following: the method comprises the following steps of (1) determining the region to which the equipment belongs, the connection mode of the equipment, whether a fault indicating device is provided, and whether the following functions are provided: remote signaling, remote control, remote sensing, equipment connected mode includes: connected through an overhead cable and connected through a power cable.
In the scanning process, 1) scanning is carried out along a line from a transformer substation or a bus, and when equipment with a switching-on/off function is encountered, the equipment with the switching-on/off function is in a conducting state by default, and scanning is continued until the tail end of each branch; 2) after the scan is completed, the first model is labeled or the network group models (simplified models of the first model) are numbered. 3) Detecting whether the structure of the power grid changes, if so, correspondingly changing the first model or the network group model (the model of which the first model is simplified), wherein the power grid can be scanned again so as to re-determine the changed network group model, or directly and correspondingly changing the original first model or the network group model to obtain the changed network group model.
After scanning the power grid to obtain a first model, simplifying the first model to obtain a network group model, and acquiring the state of equipment with a switching-on/off function according to the network group model, wherein the state comprises the following steps: the method comprises the steps of conducting and disconnecting, and finally determining the operation mode of the power grid according to the state of equipment with the disconnection function, wherein the equipment with the disconnection function is equipment with the functions of conducting and disconnecting, and can be a circuit breaker, a load switch and the like.
The first model is simplified as described above, wherein the simplification is as follows, but is not limited thereto: using other devices except the device with the disconnection function as a node in the network group model, and setting the attributes of two ends of the device with the disconnection function, wherein the attributes comprise: the connection end point used for connecting the equipment nodes and the point positioned at the tail end in the network group model are not connected with the equipment nodes in the network group model, and the connection mode between each piece of equipment in the network group model can be known by setting the attributes of the two ends of the equipment, so that the network group model obtained by simplifying the first model can be obtained.
Step S104, after the network group model fails, acquiring time information required by the failure recovery of the network group model, wherein the time information comprises: the power failure time of each equipment node in the network group model;
for better understanding of step S104, the embodiment of the present application will describe in detail the process of acquiring a network group: after the network group model is obtained, the normal operation mode of the power grid can be obtained by carrying out matrix algorithm on the network group model. The method comprises the steps that a plurality of devices with the on-off function exist in a power grid, the state of the devices with the on-off function in the power grid which operates in a normal mode cannot be determined before scanning is carried out, for example, some of the on-off devices are in an on state, some of the on-off devices are in an off state, the normal operation mode of a network group can be obtained by determining a network group model, and when a load point fails, the fault recovery mode is determined through the network group model, wherein the fault recovery mode adopts the least action for recovering the fault, and the time information is the time from the occurrence of the fault to the recovery of the fault in the least action for recovering the fault.
The network group model failure and failure recovery include: determining time information according to each load point in the network group, wherein the time information is specifically the power failure time of each load point, and the power failure time of each load point is as follows: and recovering the sum of the time of the power failure caused by all the associated equipment, wherein the associated equipment is the equipment for influencing the power supply of each load point, and a plurality of associated equipment can exist in each load point.
And S106, determining a power supply reliability index of the power grid according to the time information, wherein the power supply reliability index is used for reflecting the reliability of power supply of the power grid.
Wherein, step S106 includes: acquiring time information of each load point in each equipment node; determining a power supply reliability index of each load point according to the time information of each load point; determining a power supply reliability index of the network group according to the power supply reliability index and the distribution transformation capacity of each load point in the network group model; and determining the power supply reliability index of the power grid according to the power supply reliability index and the distribution transformation capacity of each network group in the power grid.
Determining a power supply reliability index for each load point by:
wherein, ASAINRepresenting the power supply reliability index of each load point, T representing the statistical period, TNThe power failure time of the load point in the statistical period is represented as follows: the failure rate of the associated equipment at the load point is multiplied by the sum of the outage times caused by the associated equipment, wherein the associated equipment represents equipment that affects the power supply at the load point.
Determining a power supply reliability indicator for each network group by:
wherein, ASAIMRepresenting the power supply reliability index, P, of each network groupAIndicating the distribution capacity, P, of the load point ANThe distribution capacity of the load point N is shown;
determining a power supply reliability index of the power grid by the following method:
wherein, PαRepresenting the distribution capacity, P, of the network group alphaMRepresenting the distribution capacity of the network group M.
In order to better understand the method for determining the power supply reliability of the present application, the method is described in detail in the following with reference to specific embodiments.
1. First, network groups are divided: and for a certain power supply area, performing network group division on the power supply area, and acquiring the numbers of all power supply network groups in the area, namely collecting and reserving the numbers of all power supply network groups in the area. The method for determining the network group model is described in detail by taking the dual-ring network system shown in fig. 2 as an example.
When a 10kV bus 1 of a substation or a switching station is scanned, and a branch (such as a power supply branch at which the load point E, F, G is located) exists along a power supply path through the circuit breaker 1, it is necessary to search for a power distribution facility at the end of each branch and store all scanned devices and device attributes. Searching along the power supply path until a load point A, wherein all equipment in the power distribution facility at which the load point is located also belong to a network group, and therefore all equipment starting from the load point B and going up to a 10kV bus 2 also belong to the network group; in the searching process, if the device with the switching-off function is encountered, the device with the switching-off function is assumed to be in a conducting state, and the searching is continued, so that the point C can be searched from the point a and the 10kV bus 3 can be found, and the point D can be searched from the point B and the 10kV bus 4 can be found, so that the scanning of the whole network group as shown in fig. 2 is completed, and all the devices encountered in the scanning process need to be stored.
Similar to the above steps, scanning of the net rack in the beijing area needs to be completed, all network group models need to be determined, and each network group model needs to be identified, that is, each network group has a unique number, and then if the net rack is unchanged, the network group model is unchanged; and if the net rack is changed, increasing and decreasing the equipment in the corresponding network group model.
In the process of storage, the attribute of the device needs to be stored, wherein the device attribute includes: the method comprises the following steps of (1) determining the region to which the equipment belongs, the connection mode of the equipment, whether a fault indicating device is provided, and whether the following functions are provided: remote signaling, remote control, remote sensing, equipment connected mode includes: whether connected by aerial cables or by power cables.
2. Secondly, analyzing a normal operation mode and a fault operation mode of the power grid based on the network group: the first model is simplified, as shown in fig. 3 and 4, where D1 and D2 … … D10 in fig. 3 and 4 respectively represent the connection point 1 and the connection point 2 … …, and taking fig. 3 as an example, devices with an opening function, such as a circuit breaker and a load switch, which can be opened or closed, are reserved, that is, all devices capable of adjusting the operation mode of the power grid are reserved, and all other devices are simplified to one point, so that the connection relationship between the circuit breaker and the load switch is obtained, but the attribute of the circuit breaker (the substation or the opening and closing station) to which the circuit breaker belongs) and the attribute of the load switch (the subordinate power distribution facility) need to be clarified. Defining two ends of each device with the disconnection function, namely points a and b, so as to obtain the connection relation of each device, wherein the attributes of the two ends of each device only have two attributes: connection endpoints for connecting device nodes or points at the end of the network group model. The resulting model is shown in FIG. 4: it is only necessary to simplify to each switching device having a two-terminal property.
And obtaining the normal operation mode of the power grid, namely the state of the equipment with the switching-on and switching-off function by utilizing a matrix algorithm according to the network group model.
According to the network group model, in addition to returning to the normal operation mode of the power grid, the operation mode after the fault needs to be fed back: the specific consideration principle is that only one point (equipment fault with a cut-off function or connection point fault) is failed at a time, the connection point is ensured not to lose power as far as possible, and the operation mode after fault recovery with the least switching actions is given. For example: when the equipment 1 fails, the equipment 7 needs to be switched on; if the connection point between the device 1 and the device 6 fails, it is necessary to disconnect the device 1, the device 6 and switch the device 7 on.
3. Then, calculating time information based on the operation mode after fault recovery, namely the power failure time of the load point caused by each equipment fault: for example, point a is taken as an example, in addition to analyzing the power outage time after the fault of each device on the current power supply branch, the power outage time caused by the fault of the branch device where the load point E, F, G protected by the circuit breaker 1 is located is also considered. The determination of the power failure time needs to consider that if the fault recovery can be performed through the minimum action, the power failure time is the switching time of the switching, otherwise, the power failure time is the repair time of the equipment.
4. And finally, determining a power supply reliability index: the annual power failure time t of each load point needs to be calculatedN，tNThe sum of the failure rates of all the associated power supply equipment at the load point multiplied by the power failure time caused by the equipment is equal to, taking point a as an example, the power supply reliability index is as follows:
tAthe annual blackout time at load point a is 8760 hours, which is 8760 hours per year.
For the network group α composed of the load points A, B, C, the distribution capacity of the a-point band is assumed to be PAThe distribution transformation capacity of the B point belt is PBThe distribution transformation capacity of the C point belt is PCThen, the reliability index of the whole network group α is:
for a system composed of a network group alpha, a network group beta and a network group gamma, the distribution capacity of an alpha band is assumed to be PαTransformation of beta bandAmount is Pβ，γDistribution capacity of belt is PγThe power supply reliability index of the system is as follows:
the actual operation mode of the power grid and the operation mode after the fault occurs are obtained through the network group, the fault power failure time caused actually is calculated, the fault power failure time obtained through the method in the embodiment of the application is close to the actual situation, and the obtained power supply reliability precision is high.
According to an embodiment of the present invention, there is provided an embodiment of a product for calculating power supply reliability, and fig. 5 is a structural diagram of determination of power supply reliability according to an embodiment of the present invention, as shown in fig. 5, the apparatus includes:
a first determining module 50, configured to determine each network group model in the power grid, where at least one network group model exists in the power grid, and the network group model is composed of device nodes having a connection relationship;
an obtaining module 52, configured to obtain, after the network group model fails, time information required for recovering from the failure of the network group model, where the time information includes: the power failure time of each equipment node in the network group model;
and a second determining module 54, configured to determine a power supply reliability index of the power grid according to the time information, where the power supply reliability index is used to reflect a reliability degree of power supply of the power grid.
Wherein the first determining module 50 includes: the scanning unit is used for scanning the power grid to obtain a first model, the scanning mode is that the scanning is started from a transformer substation or a bus to the tail end of each branch along a line, and the first model is a model before the simplification of the network group model; and the storage unit is used for storing the scanned equipment and the attribute of the equipment.
The first determination module 50 further includes: the simplifying unit is used for simplifying the first model to obtain a network group model; a first obtaining unit, configured to obtain, according to a network group model, a state of a device having a disconnection function, where the state includes: an on state and an off state; the first determining unit is used for determining the operation mode of the power grid according to the state of the equipment with the cut-off function.
The simplifying unit is further configured to use other devices except the device with the disconnection function as a node in the network group model, and set attributes of two ends of the device with the disconnection function, where the attributes include: connection endpoints for connecting the device nodes, and an endmost point in the network group model that is not connected to a device node in the network group model.
A second determination module 54 comprising: the second acquisition unit is used for acquiring the time information of each load point in each equipment node; the second determining unit is used for determining the power supply reliability index of each load point according to the time information of each load point; the third determining unit is used for determining the power supply reliability index of the network group according to the power supply reliability index and the distribution transformation capacity of each load point in the network group model; and the fourth determining unit is used for determining the power supply reliability index of the power grid according to the power supply reliability index and the distribution transformation capacity of each network group in the power grid.
Wherein the power supply reliability index of each load point is determined by:
wherein, ASAINRepresenting the power supply reliability index of each load point, T representing the statistical period, TNRepresenting the power failure time of the load point in the statistical period; determining a power supply reliability indicator for each network group by: ASAIM＝
Wherein, ASAIMRepresenting the power supply reliability index, P, of each network groupAIndicating the distribution capacity, P, of the load point ANThe distribution capacity of the load point N is shown; determining a power supply reliability index of the power grid by the following method:
wherein, PαRepresenting the distribution capacity, P, of the network group alphaMRepresenting the distribution capacity of the network group M.
It should be noted that, reference may be made to the relevant description about fig. 1 to fig. 4 for a preferred implementation of the embodiment shown in fig. 5, and details are not repeated here.
The first determining module 50, the obtaining module 52 and the second determining module 54 correspond to steps S102 to S106 in the above embodiments, and the modules are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
The embodiment of the application also provides a storage medium, wherein the storage medium comprises a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the method for determining the power supply reliability.
The storage medium described above stores a program that performs the following functions: determining each network group model in the power grid, wherein at least one network group model exists in the power grid, and the network group model consists of equipment nodes with a connection relation; after the network group model fails, acquiring time information required by the failure recovery of the network group model, wherein the time information comprises: the power failure time of each equipment node in the network group model; and determining a power supply reliability index of the power grid according to the time information, wherein the power supply reliability index is used for reflecting the reliability of power supply of the power grid.
The embodiment of the application further provides a processor, wherein the processor is used for executing the program, and the method for determining the power supply reliability is executed when the program runs.
The processor is configured to execute a program that implements the following functions: determining each network group model in the power grid, wherein at least one network group model exists in the power grid, and the network group model consists of equipment nodes with a connection relation; after the network group model fails, acquiring time information required by the failure recovery of the network group model, wherein the time information comprises: the power failure time of each equipment node in the network group model; and determining a power supply reliability index of the power grid according to the time information, wherein the power supply reliability index is used for reflecting the reliability of power supply of the power grid.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, 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, units or modules, and may be in an electrical or other form.
The 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 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 invention 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 unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method for determining reliability of power supply, comprising:
determining each network group model in the power grid, wherein at least one network group model exists in the power grid, and the network group model is composed of equipment nodes with connection relations;
after the network group model fails, acquiring time information required by the network group model for failure recovery, wherein the time information comprises: the power failure time of each equipment node in the network group model;
determining a power supply reliability index of the power grid according to the time information, wherein the power supply reliability index is used for reflecting the reliability degree of the power supply of the power grid, and the reliability index comprises: the power supply reliability index of each load point and the power supply reliability index of each network group;
wherein the power supply reliability index of each load point is determined by:
wherein, ASAINRepresenting a power supply reliability index for each of said load points, T representing a statistical period, TNRepresenting the power failure time of the load point in the statistical period;
determining a power supply reliability indicator for each of the network groups by:
wherein, ASAIMRepresenting a power supply reliability index, P, for each of said network groupsAIndicating the distribution capacity, P, of the load point ANIndicating the distribution capacity of the load point N.
2. The method of claim 1, wherein determining each network group model in the power grid comprises:
scanning the power grid to obtain a first model, wherein the scanning mode is that the power grid is scanned to the tail end of each branch circuit from a transformer substation or a bus along a line, and the first model is a model before simplification of a network group model;
storing the scanned devices and the attributes of the devices.
3. The method of claim 2, wherein scanning the grid to obtain the first model comprises:
simplifying the first model to obtain a network group model;
acquiring the state of the equipment with the cut-off function according to the network group model, wherein the state comprises the following steps: an on state and an off state;
and determining the operation mode of the power grid according to the state of the equipment with the on-off function.
4. The method of claim 3, wherein simplifying the first model to obtain the network group model comprises:
taking other devices except the device with the disconnection function as a node in the network group model, and setting attributes of two ends of the device with the disconnection function, wherein the attributes comprise: connection end points for connecting the device nodes, and an endmost point in the network group model that is not connected to a device node in the network group model.
5. The method of claim 1, wherein determining the power supply reliability indicator of the power grid according to the time information comprises:
acquiring time information of each load point in each equipment node;
determining a power supply reliability index of each load point according to the time information of each load point;
determining the power supply reliability index of the network group according to the power supply reliability index and the distribution transformation capacity of each load point in the network group model;
and determining the power supply reliability index of the power grid according to the power supply reliability index and the distribution transformation capacity of each network group in the power grid.
6. The method of claim 5,
determining a power supply reliability index of the power grid by the following method:
wherein, PαRepresenting the distribution capacity, P, of the network group alphaMRepresenting the distribution capacity of the network group M.
7. A power supply reliability determination apparatus, characterized by comprising:
the device comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining each network group model in the power grid, at least one network group model exists in the power grid, and the network group model is composed of device nodes with connection relations;
an obtaining module, configured to obtain time information required for recovering from the failure of the network group model after the failure of the network group model, where the time information includes: the power failure time of each equipment node in the network group model;
a second determining module, configured to determine a power supply reliability indicator of the power grid according to the time information, where the power supply reliability indicator is used to reflect a reliability degree of power supply of the power grid, and the reliability indicator includes: the power supply reliability index of each load point and the power supply reliability index of each network group;
wherein the power supply reliability index of each load point is determined by:
wherein, ASAINRepresenting a power supply reliability index for each of said load points, T representing a statistical period, TNRepresenting the power failure time of the load point in the statistical period;
determining a power supply reliability indicator for each of the network groups by:
wherein, ASAIMRepresenting a power supply reliability index, P, for each of said network groupsAIndicating the distribution capacity, P, of the load point ANIndicating the distribution capacity of the load point N.
8. The apparatus of claim 7, wherein the second determining module comprises:
an obtaining unit, configured to obtain time information of each load point in each device node;
the first determining unit is used for determining the power supply reliability index of each load point according to the time information of each load point;
a second determining unit, configured to determine a power supply reliability index of the network group according to the power supply reliability index and the distribution transformation capacity of each load point in the network group model;
and the third determining unit is used for determining the power supply reliability index of the power grid according to the power supply reliability index and the distribution transformation capacity of each network group in the power grid.
9. A storage medium, characterized in that the storage medium includes a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute the power supply reliability calculation method according to any one of claims 1 to 6.
10. A processor, characterized in that the processor is configured to execute a program, wherein the program executes the power supply reliability calculation method according to any one of claims 1 to 6.
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