CN103679297A - Method and device for calculating power supply reliability of power distribution network - Google Patents

Method and device for calculating power supply reliability of power distribution network Download PDF

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CN103679297A
CN103679297A CN201310740026.5A CN201310740026A CN103679297A CN 103679297 A CN103679297 A CN 103679297A CN 201310740026 A CN201310740026 A CN 201310740026A CN 103679297 A CN103679297 A CN 103679297A
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distribution network
power distribution
power
user
area
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任志敏
程育新
张小飞
周忠平
梁国胜
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HANGZHOU GUODIAN ELECTRICAL EQUIPMENT Co Ltd
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HANGZHOU GUODIAN ELECTRICAL EQUIPMENT Co Ltd
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Abstract

An embodiment of the invention provides a method and a device for calculating the power supply reliability of a power distribution network. The method comprises the steps of confirming first prediction fault information of users to encounter faults according to fault information of the users in the power distribution network within a preset time period; confirming the power supply reliability of the power distribution network according to the first prediction fault information, wherein the power supply reliability is a specific value of total hour number of the effective power supply time of the users in the power distribution network to total hour number within the preset time period. By adopting the method and the device, the reliability of the power distribution network in the future time can be calculated.

Description

Calculate method and the device of power distribution network power supply reliability
Technical field
The present invention relates to data processing field, in particular, relate to calculate method and the device of power distribution network power supply reliability.
Background technology
Prior art is the information such as historical failure power off time according to each user in power distribution network to the reliability statistics of power distribution network, and before analyzing, whether distribution network system is reliable.
Whether inventor finds in realizing the process of the invention, reliable in the past to calculate power distribution network only in prior art, can not accomplish the reliability of power distribution network future time to assess.
Summary of the invention
In view of this, the invention provides a kind of method and device that calculates power distribution network power supply reliability, to overcome in prior art due to whether reliable in the past to calculate power distribution network only, can not accomplish the problem that the reliability of power distribution network future time is assessed.
For achieving the above object, the invention provides following technical scheme:
A method of calculating power distribution network power supply reliability, comprising:
According to the failure message of the user in power distribution network in Preset Time section, determine the first prediction failure message of user to be broken down, described failure message comprises: user's mean failure rate power off time in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network, described the first prediction failure message comprises the mean failure rate power off time of user in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network,
According to described the first prediction failure message, determine the power supply reliability of described power distribution network, described power supply reliability refers to the total hourage of the effective power-on time of user and the interior always ratio of hourage of described Preset Time section in described power distribution network.
Wherein, described in user's to be broken down the first area of the corresponding described power distribution network of the first prediction failure message, the method for described calculating power distribution network power supply reliability also comprises:
According to the first described prediction failure message, calculate the second prediction failure message of each user in second area, described the second prediction failure message comprises: fault outage average duration in average customer interrupted number, described second area in user's mean failure rate frequency of power cut, described second area in user's mean failure rate power off time, described second area in described second area;
According to described the second prediction failure message, each user who controls in described second area carries out corresponding power failure operation.
Wherein, in described second area, user's mean failure rate power off time refers to the ratio of total number of users in pre-arrangement fault outage T.T. and described power distribution network.
Wherein, in described second area, user's mean failure rate frequency of power cut refers to that pre-arrangement customer interrupted sum and limit customer interrupted count the ratio of total number of users in the difference of sum and described power distribution network.
Wherein, in described second area, average customer interrupted number refers to pre-arrangement customer interrupted sum and the pre-ratio that arranges power failure total degree.
Wherein, in described second area, fault outage average duration refers to have a power failure and lacks power supply total amount and the pre-ratio that arranges power failure total degree.
A device that calculates power distribution network power supply reliability, comprising:
The first determination module, be used for according to the failure message of the user of power distribution network in Preset Time section, determine the first prediction failure message of user to be broken down, described failure message comprises: user's mean failure rate power off time in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network, described the first prediction failure message comprises the mean failure rate power off time of user in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network,
The second determination module, for according to described the first prediction failure message, determines the power supply reliability of described power distribution network, and described power supply reliability refers to the total hourage of the effective power-on time of user and the interior always ratio of hourage of described Preset Time section in described power distribution network.
Wherein, described in user's to be broken down the first area of the corresponding described power distribution network of the first prediction failure message, the method for described calculating power distribution network power supply reliability also comprises:
Computing module, be used for according to the first described prediction failure message, calculate the second prediction failure message of each user in second area, described the second prediction failure message comprises: fault outage average duration in average customer interrupted number, described second area in user's mean failure rate frequency of power cut, described second area in user's mean failure rate power off time, described second area in described second area;
Control module, for described the second prediction failure message of foundation, each user who controls in described second area carries out corresponding power failure operation.
Wherein, in described second area, user's mean failure rate power off time refers to the ratio of total number of users in pre-arrangement fault outage T.T. and described power distribution network.
Wherein, in described second area, user's mean failure rate frequency of power cut refers to that pre-arrangement customer interrupted sum and limit customer interrupted count the ratio of total number of users in the difference of sum and described power distribution network.
Known via above-mentioned technical scheme, compared with prior art, the embodiment of the present invention provides a kind of method of calculating power distribution network power supply reliability, and the method, according to the failure message of the user in the power distribution network in Preset Time section, is determined the first prediction failure message of user to be broken down.The first prediction failure message is the information of the user of power-off fault to be occurred in the interior power distribution network of future time, so can, according to the first prediction failure message, determine the power supply reliability of power distribution network.Thereby calculate the reliability of power distribution network in future time.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skills, do not paying under the prerequisite of creative work, other accompanying drawing can also be provided according to the accompanying drawing providing.
A kind of schematic flow sheet that calculates the method for power distribution network power supply reliability that Fig. 1 provides for the embodiment of the present invention;
A kind of structural representation that calculates the device of power distribution network power supply reliability that Fig. 2 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Referring to accompanying drawing 1, is a kind of schematic flow sheet that calculates the method for power distribution network power supply reliability that the embodiment of the present invention provides, and the method comprises:
Step S101: according to the failure message of the user in power distribution network in Preset Time section, determine the first prediction failure message of user to be broken down.
First record the situation that in Preset Time section, in power distribution network, each user breaks down, user's failure message, can infer according to known user's failure message the first prediction failure message that future time.
Described failure message comprises: fault outage average duration in average customer interrupted number, described power distribution network in user's mean failure rate frequency of power cut, described power distribution network in user's mean failure rate power off time, described power distribution network in described power distribution network.
In power distribution network, user's mean failure rate power off time refers to the average power failure hourage of user in Preset Time section, is the length index of reflection power distribution network to customer outage hours, is designated as AIHC-1, and its formula is as follows:
The each interruption duration of user's mean failure rate power off time=Σ in power distribution network * each customer interrupted number/total number of users (h/ family).
If while disregarding external action, in power distribution network, user's mean failure rate power off time can be designated as AIHC-2, and in power distribution network, the computing formula of user's mean failure rate power off time is as follows:
In power distribution network, in user's mean failure rate power off time=power distribution network, in user's mean failure rate power off time-power distribution network, user is on average subject to external action power off time (h/ family), wherein, in power distribution network, user is on average subject in external action interruption duration * power distribution network, to be subject to its power failure amount affecting/total number of users (h/ family) in external action power off time=Σ power distribution network at every turn at every turn.
External action comprises: power generating equipment fault, vehicular traffic destruction, theft, outside construction infection, disaster, strong wind and heavy rain, other climatic factors, external electrical network fault, outside scheduled overhaul, external electrical network facility ad hoc inspection and repair, external electrical network construction etc.
If when disregarding system power supply deficiency and rationing the power supply, in power distribution network, user's mean failure rate power off time can be denoted as AIHC-3, formula is:
User's power off time (h/ family) of on average rationing the power supply in user's mean failure rate power off time-power distribution network in user's mean failure rate power off time=power distribution network in power distribution network.
User's power off time=Σ interruption duration * power failure the amount of at every turn rationing the power supply/total number of users (h/ family) of at every turn rationing the power supply of on average rationing the power supply in power distribution network.
In power distribution network, user's mean failure rate frequency of power cut refers to the average frequency of power cut of user in Preset Time section, is reflection power distribution network to the have a power failure index of frequency of user, is denoted as AITC-1, and its formula is as follows:
Figure BDA0000447194170000051
If while disregarding external action, in power distribution network, user's mean failure rate frequency of power cut can be denoted as AITC-2, and its formula is as follows:
Figure BDA0000447194170000052
If when disregarding power distribution network power supply deficiency and rationing the power supply, in power distribution network, user's mean failure rate frequency of power cut can be denoted as AITC-3, its formula is as follows:
Figure BDA0000447194170000053
In power distribution network, average customer interrupted number refers in Preset Time section, and average each number of users having a power failure, is the index of the average power failure range size of reflection, and its formula is as follows:
Figure BDA0000447194170000054
In power distribution network, fault outage average duration refers in Preset Time section, the each average power failure hourage of fault outage.This indicator-specific statistics be the lasting power off time of average each fault outage in Preset Time section, mainly reflected average each level to fault outage recovery capability, be denoted as MID-F, its formula is as follows:
Figure BDA0000447194170000055
Described the first prediction failure message comprises in the mean failure rate frequency of power cut of user in the mean failure rate power off time of user in described power distribution network, described power distribution network, described power distribution network in average customer interrupted number, described power distribution network fault outage average duration.
Actual distribution net work structure more complicated, is often comprised of main feeder and branch feeder.Can utilize Equivalent Network method that Complicated Distribution Network is equivalent to simple radial distribution networks, thereby reach the effect of simplified network structure and minimizing calculated amount.In equivalent method, first according to the feeder line number in power distribution network, power distribution network is carried out to layering processing, the various elements that each feeder line and this feeder line connect (comprising disconnector, isolating switch, fuse, branch line etc.) are one deck.Every one deck of power distribution network can be equivalent to a corresponding equivalent branched line, from end layer, start progressively upwards equivalence, finally a Complicated Distribution Network with many branch feeders can be equivalent to a simple radial networks, by the simple radial network of equivalence, determine the first prediction failure message of user to be broken down again.
Step S102: according to described the first prediction failure message, determine the power supply reliability of described power distribution network.
Described power supply reliability refers to the total hourage of the effective power-on time of user and the interior always ratio of hourage of described Preset Time section in described power distribution network, to the total hourage of the effective power-on time of user and Preset Time section by the ratio of hourage, the index of reflection power distribution network to the fiduciary level of customer power supply, be denoted as RS-1, its formula is as follows:
Figure BDA0000447194170000061
If while disregarding external action, the power supply reliability of power distribution network can be denoted as RS-2;
Figure BDA0000447194170000062
If when disregarding power distribution network power supply deficiency and rationing the power supply, the power supply reliability of power distribution network can be denoted as RS-3.
Figure BDA0000447194170000063
The embodiment of the present invention provides a kind of method of calculating power distribution network power supply reliability, and the method, according to the failure message of the user in the power distribution network in Preset Time section, is determined the first prediction failure message of user to be broken down.The user's of power-off fault to be occurred information in the interior power distribution network of future time during the first prediction failure message, so can, according to the first prediction failure message, determine the power supply reliability of power distribution network.Thereby what calculate the interior power distribution network of future time considers to be reliability.
According to the embodiment of the method for above-mentioned calculating power distribution network power supply reliability, can know the first prediction failure message of the user that future time breaks down, if these users are after power failure, the loss causing is larger, can carry out fault transfer, suppose the first area of user's above-mentioned to be broken down the corresponding described power distribution network of the first prediction failure message, the method of described calculating power distribution network power supply reliability also comprises: according to the first described prediction failure message, calculate the second prediction failure message of each user in second area, described the second prediction failure message comprises: user's mean failure rate power off time in described second area, user's mean failure rate frequency of power cut in described second area, average customer interrupted number in described second area, fault outage average duration in described second area, according to described the second prediction failure message, each user who controls in described second area carries out corresponding power failure operation.
In the embodiment of the present invention, the fault of first area can be transferred to second area, thus the reliability of the user's of raising first area power supply.
In described second area, user's mean failure rate power off time refers to the ratio of all total numbers of users in pre-arrangement fault outage T.T. and described power distribution network.
In second area, user's mean failure rate power off time can be denoted as AIHC-S, and its formula is as follows:
Figure BDA0000447194170000071
The pre-fault outage T.T.=∑ (each pre-power off time * each pre-customer interrupted number that arranges that arranges) that arranges.
In described second area, user's mean failure rate frequency of power cut refers to pre-arrangement customer interrupted sum and the difference of limit customer interrupted sum and the ratio of total number of users.
In second area, user's mean failure rate frequency of power cut can be denoted as ASTC-3, and its formula is as follows:
Figure BDA0000447194170000072
The pre-customer interrupted sum=∑ (each pre-customer interrupted number that arranges) that arranges; Limit customer interrupted sum=∑ (the customer interrupted number of at every turn rationing the power supply).
In described second area, average customer interrupted number refers to pre-arrangement customer interrupted sum and the pre-ratio that arranges frequency of power cut.
In second area, average customer interrupted number, can be denoted as MIC-F, and its formula is as follows:
Figure BDA0000447194170000073
The pre-customer interrupted sum=∑ (each fault outage number of users) that arranges.
In second area, fault outage average duration refers to have a power failure and lacks the ratio of power supply total amount and fault outage total degree.
In second area, fault outage average duration can be denoted as AENT-F, and its formula is as follows:
Figure BDA0000447194170000081
Have a power failure and lack power supply total amount=∑ (each fault outage lacks delivery).
In the disclosed embodiment of the invention described above, describe method in detail, for method of the present invention, can adopt the device of various ways to realize, therefore the invention also discloses a kind of device, provide specific embodiment below and be elaborated.
Referring to Fig. 2, is a kind of structural representation that calculates the device of power distribution network power supply reliability that the embodiment of the present invention provides, and this device comprises: the first determination module 201 and the second determination module 202, wherein:
The first determination module 201, for according to the failure message of the user of power distribution network in Preset Time section, determines the first prediction failure message of user to be broken down.
Described failure message comprises: fault outage average duration in average customer interrupted number, described power distribution network in user's mean failure rate frequency of power cut, described power distribution network in user's mean failure rate power off time, described power distribution network in described power distribution network.
Described the first prediction failure message comprises in the mean failure rate frequency of power cut of user in the mean failure rate power off time of user in described power distribution network, described power distribution network, described power distribution network in average customer interrupted number, described power distribution network fault outage average duration.
In power distribution network, user's mean failure rate power off time refers to the average power failure hourage of user in Preset Time section, is the length index of reflection power distribution network to customer outage hours, is designated as AIHC-1, and its formula is as follows:
The each interruption duration of user's mean failure rate power off time=Σ in power distribution network * each customer interrupted number/total number of users (h/ family).
If while disregarding external action, in power distribution network, user's mean failure rate power off time can be designated as AIHC-2, and in power distribution network, the computing formula of user's mean failure rate power off time is as follows:
In power distribution network, in user's mean failure rate power off time=power distribution network, in user's mean failure rate power off time-power distribution network, user is on average subject to external action power off time (h/ family), wherein, in power distribution network, user is on average subject in external action interruption duration * power distribution network, to be subject to its power failure amount affecting/total number of users (h/ family) in external action power off time=Σ power distribution network at every turn at every turn.
External action comprises: power generating equipment fault, vehicular traffic destruction, theft, outside construction infection, disaster, strong wind and heavy rain, other climatic factors, external electrical network fault, outside scheduled overhaul, external electrical network facility ad hoc inspection and repair, external electrical network construction etc.
If when disregarding system power supply deficiency and rationing the power supply, in power distribution network, user's mean failure rate power off time can be denoted as AIHC-3, formula is:
User's power off time (h/ family) of on average rationing the power supply in user's mean failure rate power off time-power distribution network in user's mean failure rate power off time=power distribution network in power distribution network.
User's power off time=Σ interruption duration * power failure the amount of at every turn rationing the power supply/total number of users (h/ family) of at every turn rationing the power supply of on average rationing the power supply in power distribution network.
In power distribution network, user's mean failure rate frequency of power cut refers to the average frequency of power cut of user in Preset Time section, is reflection power distribution network to the have a power failure index of frequency of user, is denoted as AITC-1, and its formula is as follows:
Figure BDA0000447194170000091
If while disregarding external action, in power distribution network, user's mean failure rate frequency of power cut can be denoted as AITC-2, and its formula is as follows:
Figure BDA0000447194170000092
If when disregarding power distribution network power supply deficiency and rationing the power supply, in power distribution network, user's mean failure rate frequency of power cut can be denoted as AITC-3, its formula is as follows:
Figure BDA0000447194170000093
In power distribution network, average customer interrupted number refers in Preset Time section, and average each number of users having a power failure, is the index of the average power failure range size of reflection, and its formula is as follows:
Figure BDA0000447194170000094
In power distribution network, fault outage average duration refers in Preset Time section, the each average power failure hourage of fault outage.This indicator-specific statistics be the lasting power off time of average each fault outage in Preset Time section, mainly reflected average each level to fault outage recovery capability, be denoted as MID-F, its formula is as follows:
Figure BDA0000447194170000095
Described the first prediction failure message comprises in the mean failure rate frequency of power cut of user in the mean failure rate power off time of user in described power distribution network, described power distribution network, described power distribution network in average customer interrupted number, described power distribution network fault outage average duration.
Actual distribution net work structure more complicated, is often comprised of main feeder and branch feeder.Can utilize Equivalent Network method that Complicated Distribution Network is equivalent to simple radial distribution networks, thereby reach the effect of simplified network structure and minimizing calculated amount.In equivalent method, first according to the feeder line number in power distribution network, power distribution network is carried out to layering processing, the various elements that each feeder line and this feeder line connect (comprising disconnector, isolating switch, fuse, branch line etc.) are one deck.Every one deck of power distribution network can be equivalent to a corresponding equivalent branched line, from end layer, start progressively upwards equivalence, finally a Complicated Distribution Network with many branch feeders can be equivalent to a simple radial networks, by the simple radial network of equivalence, determine the first prediction failure message of user to be broken down again.
The second determination module 202, for according to described the first prediction failure message, determines the power supply reliability of described power distribution network.
Described power supply reliability refers to the total hourage of the effective power-on time of user and the interior always ratio of hourage of described Preset Time section in described power distribution network, to the total hourage of the effective power-on time of user and Preset Time section by the ratio of hourage, the index of reflection power distribution network to the fiduciary level of customer power supply, be denoted as RS-1, its formula is as follows:
Figure BDA0000447194170000101
If while disregarding external action, the power supply reliability of power distribution network can be denoted as RS-2;
If when disregarding power distribution network power supply deficiency and rationing the power supply, the power supply reliability of power distribution network can be denoted as RS-3.
Figure BDA0000447194170000103
The embodiment of the present invention provides a kind of device that calculates power distribution network power supply reliability, and the first determination module 201, according to the failure message of the user in the power distribution network in Preset Time section, is determined the first prediction failure message of user to be broken down.The user's of power-off fault to be occurred information in the interior power distribution network of future time during the first prediction failure message, so the second determination module 202 can, according to the first prediction failure message, be determined the power supply reliability of power distribution network.Thereby what calculate the interior power distribution network of future time considers to be reliability.
According to the embodiment of the method for above-mentioned calculating power distribution network power supply reliability, can know the first prediction failure message of the user that future time breaks down, if these users are after power failure, the loss causing is larger, can carry out fault transfer, suppose the first area of user's above-mentioned to be broken down the corresponding described power distribution network of the first prediction failure message, the device of described calculating power distribution network power supply reliability also comprises: computing module, be used for according to the first described prediction failure message, calculate the second prediction failure message of each user in second area, described the second prediction failure message comprises: user's mean failure rate power off time in described second area, user's mean failure rate frequency of power cut in described second area, average customer interrupted number in described second area, fault outage average duration in described second area, control module, for described the second prediction failure message of foundation, each user who controls in described second area carries out corresponding power failure operation.
In the embodiment of the present invention, the fault of first area can be transferred to second area, thus the reliability of the user's of raising first area power supply.
In described second area, user's mean failure rate power off time refers to the ratio of all total numbers of users in pre-arrangement fault outage T.T. and described power distribution network.
In second area, user's mean failure rate power off time can be denoted as AIHC-S, and its formula is as follows:
Figure BDA0000447194170000111
The pre-fault outage T.T.=∑ (each pre-power off time * each pre-customer interrupted number that arranges that arranges) that arranges.
In described second area, user's mean failure rate frequency of power cut refers to pre-arrangement customer interrupted sum and the difference of limit customer interrupted sum and the ratio of total number of users.
In second area, user's mean failure rate frequency of power cut can be denoted as ASTC-3, and its formula is as follows:
The pre-customer interrupted sum=∑ (each pre-customer interrupted number that arranges) that arranges; Limit customer interrupted sum=∑ (the customer interrupted number of at every turn rationing the power supply).
In described second area, average customer interrupted number refers to pre-arrangement customer interrupted sum and the pre-ratio that arranges frequency of power cut.
In second area, average customer interrupted number, can be denoted as MIC-F, and its formula is as follows:
Figure BDA0000447194170000121
The pre-customer interrupted sum=∑ (each fault outage number of users) that arranges.
In second area, fault outage average duration refers to have a power failure and lacks the ratio of power supply total amount and fault outage total degree.
In second area, fault outage average duration can be denoted as AENT-F, and its formula is as follows:
Figure BDA0000447194170000122
Have a power failure and lack power supply total amount=∑ (each fault outage lacks delivery).
It should be noted that, each embodiment in this instructions all adopts the mode of going forward one by one to describe, and each embodiment stresses is the difference with other embodiment, between each embodiment identical similar part mutually referring to.For device or system class embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part is referring to the part explanation of embodiment of the method.
Also it should be noted that, in this article, relational terms such as the first and second grades is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply and between these entities or operation, have the relation of any this reality or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, article or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, article or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
The software module that the method for describing in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to carry out, or the combination of the two is implemented.Software module can be placed in the storage medium of any other form known in random access memory (RAM), internal memory, ROM (read-only memory) (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
Above-mentioned explanation to the disclosed embodiments, makes professional and technical personnel in the field can realize or use the present invention.To the multiple modification of these embodiment, will be apparent for those skilled in the art, General Principle as defined herein can, in the situation that not departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (10)

1. a method of calculating power distribution network power supply reliability, is characterized in that, comprising:
According to the failure message of the user in power distribution network in Preset Time section, determine the first prediction failure message of user to be broken down, described failure message comprises: user's mean failure rate power off time in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network, described the first prediction failure message comprises the mean failure rate power off time of user in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network,
According to described the first prediction failure message, determine the power supply reliability of described power distribution network, described power supply reliability refers to the total hourage of the effective power-on time of user and the interior always ratio of hourage of described Preset Time section in described power distribution network.
2. calculate according to claim 1 the method for power distribution network power supply reliability, it is characterized in that, described in user's to be broken down the first area of the corresponding described power distribution network of the first prediction failure message, the method for described calculating power distribution network power supply reliability also comprises:
According to the first described prediction failure message, calculate the second prediction failure message of each user in second area, described the second prediction failure message comprises: fault outage average duration in average customer interrupted number, described second area in user's mean failure rate frequency of power cut, described second area in user's mean failure rate power off time, described second area in described second area;
According to described the second prediction failure message, each user who controls in described second area carries out corresponding power failure operation.
3. calculate according to claim 1 the method for power distribution network power supply reliability, it is characterized in that, in described second area, user's mean failure rate power off time refers to the ratio of total number of users in pre-arrangement fault outage T.T. and described power distribution network.
4. calculate according to claim 1 the method for power distribution network power supply reliability, it is characterized in that, in described second area, user's mean failure rate frequency of power cut refers to that pre-arrangement customer interrupted sum and limit customer interrupted count the ratio of total number of users in the difference of sum and described power distribution network.
5. calculate according to claim 1 the method for power distribution network power supply reliability, it is characterized in that, in described second area, average customer interrupted number refers to pre-arrangement customer interrupted sum and the pre-ratio that arranges power failure total degree.
6. calculate according to claim 1 the method for power distribution network power supply reliability, it is characterized in that, in described second area, fault outage average duration refers to have a power failure and lacks power supply total amount and the pre-ratio that arranges power failure total degree.
7. a device that calculates power distribution network power supply reliability, is characterized in that, comprising:
The first determination module, be used for according to the failure message of the user of power distribution network in Preset Time section, determine the first prediction failure message of user to be broken down, described failure message comprises: user's mean failure rate power off time in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network, described the first prediction failure message comprises the mean failure rate power off time of user in described power distribution network, user's mean failure rate frequency of power cut in described power distribution network, average customer interrupted number in described power distribution network, fault outage average duration in described power distribution network,
The second determination module, for according to described the first prediction failure message, determines the power supply reliability of described power distribution network, and described power supply reliability refers to the total hourage of the effective power-on time of user and the interior always ratio of hourage of described Preset Time section in described power distribution network.
8. calculate according to claim 7 the method for power distribution network power supply reliability, it is characterized in that, described in user's to be broken down the first area of the corresponding described power distribution network of the first prediction failure message, the method for described calculating power distribution network power supply reliability also comprises:
Computing module, be used for according to the first described prediction failure message, calculate the second prediction failure message of each user in second area, described the second prediction failure message comprises: fault outage average duration in average customer interrupted number, described second area in user's mean failure rate frequency of power cut, described second area in user's mean failure rate power off time, described second area in described second area;
Control module, for described the second prediction failure message of foundation, each user who controls in described second area carries out corresponding power failure operation.
9. calculate according to claim 7 the device of power distribution network power supply reliability, it is characterized in that, in described second area, user's mean failure rate power off time refers to the ratio of total number of users in pre-arrangement fault outage T.T. and described power distribution network.
10. calculate according to claim 7 the device of power distribution network power supply reliability, it is characterized in that, in described second area, user's mean failure rate frequency of power cut refers to that pre-arrangement customer interrupted sum and limit customer interrupted count the ratio of total number of users in the difference of sum and described power distribution network.
CN201310740026.5A 2013-12-26 2013-12-26 Method and device for calculating power supply reliability of power distribution network Pending CN103679297A (en)

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