CN105469161A - Method for detecting working stages of power grid and detection device - Google Patents
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Abstract
The invention discloses a method for detecting working stages of a power grid and a detection device. The method includes the following steps that: characteristic quantities of a sample power grid in a preset time period are obtained, wherein the characteristic quantities at least comprise power grid numerical value characteristics and power grid technical characteristics, wherein the power grid numerical value characteristics are used for representing the load characteristics of the sample power grid, and the power grid technical characteristics are used for representing the architecture attributes of the sample power grid; and the preset time period is at least divided into four working stages, namely, an initial stage, a development stage, a post-development stage and a saturation stage according to the power grid numerical value characteristics and power grid technical characteristics; the current characteristic quantities of a target power grid to be detected are obtained, and the working stages of the target power grid to be detected are determined according to the current characteristic quantities. With the method and the detection device of the invention adopted, the technical problem that the working stages of power grids cannot be detected in the prior art can be solved.
Description
Technical field
The present invention relates to power domain, in particular to method and the pick-up unit of working stage residing for a kind of detection of grid.
Background technology
Since reform and opening-up, along with the high speed development of national economy, power industry also constantly strides forward, as the important foundation industry of national economy, China's electric power industry development also enter the new rise period.2011 China GDP (GrossDomesticProduct, gross domestic product (GDP)) be 73,011 hundred million dollars, increase by 9.2% than last year, GDP per capita is 6432 dollars; In the same year, China's generating total amount exceedes the U.S., leaps to the first in the world, reaches 46,037 hundred million kilowatt hours, increase by 12% on a year-on-year basis; Per capita household electricity consumption is 3483 kilowatt hours, increases by 11.2% than last year, exceedes world average level.
From world wide, nineteen ninety, developed country's per capita household electricity consumption increasess slowly, basic close to or be tending towards saturated, especially to after 2000, the level of economic development tends to be steady, electricity consumption growth rate is more slow, and even some national power consumption declines to some extent.Obviously, electrical network is not the state always presenting high speed development, and along with tending towards stability of social economy and electric power capital construction, the development of electrical network finally also can move towards saturated.Therefore, be necessary the working stage residing for electrical network and the location of detecting China, thus how planning construction develops to instruct electrical network.
For above-mentioned problem, at present effective solution is not yet proposed.
Summary of the invention
Embodiments provide method and the pick-up unit of working stage residing for a kind of detection of grid, cannot the technical matters of working stage residing for detection of grid at least to solve prior art.
According to an aspect of the embodiment of the present invention, provide the method for working stage residing for a kind of detection of grid, comprise: obtain the characteristic quantity of sample electrical network in preset time period, wherein, described characteristic quantity at least comprises: electrical network numerical characteristics and electric power network technique feature, described electrical network numerical characteristics is for representing the part throttle characteristics of described sample electrical network, and described electric power network technique feature is for representing the framework attribute of described sample electrical network; According to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided at least following working stage: starting stage, developing stage, rear developing stage and saturation stage; Obtain the current signature amount of target grid to be measured, and determine the working stage belonging to described target grid to be measured according to described current signature amount.
Further, described according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage to comprise: according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point; Using the start time point of described preset time period to described fisrt feature time point as the described starting stage, using described fisrt feature time point to described second feature time point as described developing stage, using described second feature time point to described third feature time point as described rear developing stage, the termination time of described third feature time point to described preset time period is put as described saturation stage.
Further, described according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point: according to described electrical network numerical characteristics and described electric power network technique feature, computing function saturation value, function initial value parameter and growth parameter; Determine the first function
wherein, c is described function saturation value, and a is described function initial value parameter, and b is described growth parameter, and t represents the time; By asking 2 order derivatives to described first function, obtain
wherein, T
2for described second feature time point; By asking 3 order derivatives to described first function, obtain
wherein, T
1for described fisrt feature time point, T
3for described third feature time point.
Further, described according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage to comprise: according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity saturating capacity of described sample electrical network in described preset time period and electricity increment, when described electricity increment is less than the first preset multiple of described electricity saturating capacity, described sample electrical network is in the described starting stage, when described electricity increment arrives described first preset multiple of described electricity saturating capacity, described sample electrical network enters described developing stage, when described electricity increment arrives the second preset multiple of described electricity saturating capacity, described sample electrical network enters described rear developing stage, when described electricity increment arrives the 3rd preset multiple of described electricity saturating capacity, described sample electrical network enters described saturation stage, wherein, described first preset multiple is less than described second preset multiple, described second preset multiple is less than described 3rd preset multiple.
Further, described according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage to comprise: according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate; When described electricity growth rate is less than 0.167bc, described sample electrical network is in the described starting stage, when described electricity growth rate arrives 0.167bc, described sample electrical network enters described developing stage, when described electricity growth rate arrives 0.25bc, described sample electrical network enters described rear developing stage, when described electricity growth rate arrives 0.668 times of described maximum growth rate, described sample electrical network enters described saturation stage, wherein, c is function saturation value, and b is growth parameter.
Further, described according to described electrical network numerical characteristics and described electric power network technique feature, calculate the electricity growth rate of described sample electrical network in described preset time period to comprise: according to described electrical network numerical characteristics and described electric power network technique feature, calculate described function saturation value, function initial value parameter and described growth parameter; Determine the first function
wherein, a is described function initial value parameter, and t represents the time; By asking 1 order derivative to described first function, obtain
wherein, v (t) is described electricity growth rate.
Further, described electrical network numerical characteristics comprise following one or more: load growth rate, the average radius of electricity supply of transformer station, load density, gross domestic product (GDP) GDP growth rate, per capita household electricity consumption, per capita installed capacity, industry and appliance load ratio and newly-built with reforming equipment ratio; Described electric power network technique feature comprise following one or more: energy-saving and emission-reduction, microgrid, novel conductive wire, extra-high voltage, large-scale wind power, photovoltaic cell and light-duty direct current; Described current signature amount comprise following one or more: the development time of described target grid to be measured, load growth rate, the average radius of electricity supply of transformer station, load density, gross domestic product (GDP) GDP growth rate, per capita household electricity consumption, per capita installed capacity, industry and appliance load ratio, newly-built with reforming equipment ratio, energy-saving and emission-reduction, microgrid, novel conductive wire, extra-high voltage, large-scale wind power, photovoltaic cell and light-duty direct current.
According to the another aspect of the embodiment of the present invention, additionally provide a kind of pick-up unit, comprise: the first acquiring unit, for obtaining the characteristic quantity of sample electrical network in preset time period, wherein, described characteristic quantity at least comprises: electrical network numerical characteristics and electric power network technique feature, and described electrical network numerical characteristics is for representing the part throttle characteristics of described sample electrical network, and described electric power network technique feature is for representing the framework attribute of described sample electrical network; Processing unit, for according to described electrical network numerical characteristics and described electric power network technique feature, is divided at least following working stage: starting stage, developing stage, rear developing stage and saturation stage by described preset time period; Second acquisition unit, for obtaining the current signature amount of target grid to be measured, and determines the working stage belonging to described target grid to be measured according to described current signature amount.
Further, described processing unit is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage: according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point; Using the start time point of described preset time period to described fisrt feature time point as the described starting stage, using described fisrt feature time point to described second feature time point as described developing stage, using described second feature time point to described third feature time point as described rear developing stage, the termination time of described third feature time point to described preset time period is put as described saturation stage.
Further, described processing unit is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point: according to described electrical network numerical characteristics and described electric power network technique feature, computing function saturation value, function initial value parameter and growth parameter; Determine the first function
wherein, c is described function saturation value, and a is described function initial value parameter, and b is described growth parameter, and t represents the time; By asking 2 order derivatives to described first function, obtain
wherein, T
2for described second feature time point; By asking 3 order derivatives to described first function, obtain
wherein, T
1for described fisrt feature time point, T
3for described third feature time point.
Further, described processing unit is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage: according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity saturating capacity of described sample electrical network in described preset time period and electricity increment, when described electricity increment is less than the first preset multiple of described electricity saturating capacity, described sample electrical network is in the described starting stage, when described electricity increment arrives described first preset multiple of described electricity saturating capacity, described sample electrical network enters described developing stage, when described electricity increment arrives the second preset multiple of described electricity saturating capacity, described sample electrical network enters described rear developing stage, when described electricity increment arrives the 3rd preset multiple of described electricity saturating capacity, described sample electrical network enters described saturation stage, wherein, described first preset multiple is less than described second preset multiple, described second preset multiple is less than described 3rd preset multiple.
Further, described processing unit is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage: according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate; When described electricity growth rate is less than 0.167bc, described sample electrical network is in the described starting stage, when described electricity growth rate arrives 0.167bc, described sample electrical network enters described developing stage, when described electricity growth rate arrives 0.25bc, described sample electrical network enters described rear developing stage, when described electricity growth rate arrives 0.668 times of described maximum growth rate, described sample electrical network enters described saturation stage, wherein, c is function saturation value, and b is growth parameter.
Further, described processing unit is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, calculate the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate: according to described electrical network numerical characteristics and described electric power network technique feature, calculate described function saturation value, function initial value parameter and described growth parameter; Determine the first function
wherein, a is described function initial value parameter, and t represents the time; By asking 1 order derivative to described first function, obtain
wherein, v (t) is described electricity growth rate.
In embodiments of the present invention, adopt and obtain the characteristic quantity of sample electrical network in preset time period, wherein, characteristic quantity at least comprises: electrical network numerical characteristics and electric power network technique feature, electrical network numerical characteristics is for representing the part throttle characteristics of sample electrical network, and electric power network technique feature is for representing the framework attribute of sample electrical network, according to electrical network numerical characteristics and electric power network technique feature, preset time period is divided at least following working stage: starting stage, developing stage, rear developing stage and saturation stage, obtain the current signature amount of target grid to be measured, and the mode of the working stage belonging to target grid to be measured is determined according to current signature amount, by the working stage of sample electrical network being divided into the starting stage according to electrical network numerical characteristics and electric power network technique feature, developing stage, rear developing stage and saturation stage, and then determine the working stage belonging to target grid to be measured according to the current signature amount of target grid to be measured, reach the object of the working stage detecting target grid to be measured, thus achieve the technique effect of effectively planning power grid construction development, and then solve prior art cannot the technical matters of working stage residing for detection of grid.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of the method for working stage residing for a kind of optional detection of grid of the embodiment of the present invention;
Fig. 2 is the structural representation of a kind of optional pick-up unit according to the embodiment of the present invention.
Embodiment
The present invention program is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a part of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
It should be noted that, term " first ", " second " etc. in instructions of the present invention and claims and above-mentioned accompanying drawing are for distinguishing similar object, and need not be used for describing specific order or precedence.Should be appreciated that the data used like this can be exchanged in the appropriate case, so as embodiments of the invention described herein can with except here diagram or describe those except order implement.In addition, term " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, such as, contain those steps or unit that the process of series of steps or unit, method, system, product or equipment is not necessarily limited to clearly list, but can comprise clearly do not list or for intrinsic other step of these processes, method, product or equipment or unit.
Embodiment 1
According to the embodiment of the present invention, provide the embodiment of the method for the method of working stage residing for a kind of detection of grid, it should be noted that, can perform in the computer system of such as one group of computer executable instructions in the step shown in the process flow diagram of accompanying drawing, and, although show logical order in flow charts, in some cases, can be different from the step shown or described by order execution herein.
Fig. 1 is the method for working stage residing for the detection of grid of the embodiment of the present invention, and as shown in Figure 1, the method comprises the steps:
Step S102, obtain the characteristic quantity of sample electrical network in preset time period, wherein, characteristic quantity at least comprises: electrical network numerical characteristics and electric power network technique feature, electrical network numerical characteristics is for representing the part throttle characteristics of sample electrical network, and electric power network technique feature is for representing the framework attribute of sample electrical network.
Wherein, electrical network numerical characteristics comprise following one or more: load growth rate, the average radius of electricity supply of transformer station, load density, gross domestic product (GDP) GDP growth rate, per capita household electricity consumption, per capita installed capacity, industry and appliance load ratio and newly-built with reforming equipment ratio; Electric power network technique feature comprise following one or more: energy-saving and emission-reduction, microgrid, novel conductive wire, extra-high voltage, large-scale wind power, photovoltaic cell and light-duty direct current; Current signature amount comprise following one or more: the development time of target grid to be measured, load growth rate, the average radius of electricity supply of transformer station, load density, gross domestic product (GDP) GDP growth rate, per capita household electricity consumption, per capita installed capacity, industry and appliance load ratio, newly-built with reforming equipment ratio, energy-saving and emission-reduction, microgrid, novel conductive wire, extra-high voltage, large-scale wind power, photovoltaic cell and light-duty direct current.
Step S104, according to electrical network numerical characteristics and electric power network technique feature, is divided at least following working stage: starting stage, developing stage, rear developing stage and saturation stage by preset time period.
As the optional implementation of one, according to electrical network numerical characteristics and electric power network technique feature, preset time period is divided into developing stage, rear developing stage and saturation stage to comprise: according to electrical network numerical characteristics and electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point; Using the start time point of preset time period to fisrt feature time point as the starting stage, using fisrt feature time point to second feature time point as developing stage, using second feature time point to third feature time point as rear developing stage, the termination time of third feature time point to preset time period is put as saturation stage.
Alternatively, according to electrical network numerical characteristics and electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point: according to electrical network numerical characteristics and electric power network technique feature, computing function saturation value, function initial value parameter and growth parameter; Determine the first function
wherein, c is function saturation value, and a is function initial value parameter, and b is growth parameter, and t represents the time; By asking 2 order derivatives to the first function, obtain
wherein, T
2for second feature time point; By asking 3 order derivatives to the first function, obtain
wherein, T
1for fisrt feature time point, T
3for third feature time point.
That is, 0 to T
1for the starting stage, T
1to T
2for developing stage, T
2to T
3growth rate slows down to some extent, is referred to as rear developing stage, T
3be saturation stage to ∞.
As the optional implementation of another kind, according to electrical network numerical characteristics and electric power network technique feature, preset time period is divided into developing stage, rear developing stage and saturation stage to comprise: according to electrical network numerical characteristics and electric power network technique feature, calculates the electricity saturating capacity of sample electrical network in preset time period and electricity increment; When electricity increment is less than the first preset multiple of electricity saturating capacity, sample electrical network is in the starting stage, when electricity increment arrives the first preset multiple of electricity saturating capacity, sample electrical network enters developing stage, when electricity increment arrives the second preset multiple of electricity saturating capacity, sample electrical network enters rear developing stage, when electricity increment arrives the 3rd preset multiple of electricity saturating capacity, sample electrical network enters saturation stage, wherein, first preset multiple is less than the second preset multiple, and the second preset multiple is less than the 3rd preset multiple.
Particularly, the first preset multiple can be the 0.21, second preset multiple can be the 0.5, three preset multiple can be 0.79
As the optional implementation of another kind, according to electrical network numerical characteristics and electric power network technique feature, preset time period is divided into developing stage, rear developing stage and saturation stage to comprise: according to electrical network numerical characteristics and electric power network technique feature, calculates the electricity growth rate of sample electrical network in preset time period and maximum growth rate; When electricity growth rate is less than 0.167bc, sample electrical network is in the starting stage, when electricity growth rate arrives 0.167bc, sample electrical network enters developing stage, when electricity growth rate arrives 0.25bc, sample electrical network enters rear developing stage, when electricity growth rate arrives 0.668 times of maximum growth rate, sample electrical network enters saturation stage, wherein, c is function saturation value, and b is growth parameter.
Alternatively, according to electrical network numerical characteristics and electric power network technique feature, calculate the electricity growth rate of sample electrical network in preset time period and comprise: according to electrical network numerical characteristics and electric power network technique feature, computing function saturation value, function initial value parameter and growth parameter; Determine the first function
wherein, a is function initial value parameter, and t represents the time; By asking 1 order derivative to the first function, obtain
wherein, v (t) is electricity growth rate.
As shown in table 1, the flex point of the above-mentioned several situation drawn for utilizing Logistic function.
Table 1
Step S106, obtains the current signature amount of target grid to be measured, and determines the working stage belonging to target grid to be measured according to current signature amount.
On aforementioned operation basis, determine the standing state of target grid to be measured, determine its position (namely determining the working stage belonging to target grid to be measured) residing in the various working stage of power network development, analyze the feature in target grid relevant work stage to be measured, analyze expense and the benefit of the generations such as its power grid construction, transformation, enlarging, and then corresponding reference can be provided to period of expansion electrical network physical planning.
Pass through above-mentioned steps, can realize, according to electrical network numerical characteristics and electric power network technique feature, the working stage of sample electrical network is divided into starting stage, developing stage, rear developing stage and saturation stage, and then determine the working stage belonging to target grid to be measured according to the current signature amount of target grid to be measured, reach the object of the working stage detecting target grid to be measured, thus achieve the technique effect of effectively planning power grid construction development, and then solve prior art cannot the technical matters of working stage residing for detection of grid.
Embodiment 2
According to the embodiment of the present invention, additionally provide a kind of pick-up unit, as shown in Figure 2, this pick-up unit comprises: the first acquiring unit 202, processing unit 204 and second acquisition unit 206.
Wherein, first acquiring unit 202, for obtaining the characteristic quantity of sample electrical network in preset time period, wherein, described characteristic quantity at least comprises: electrical network numerical characteristics and electric power network technique feature, described electrical network numerical characteristics is for representing the part throttle characteristics of described sample electrical network, and described electric power network technique feature is for representing the framework attribute of described sample electrical network; Processing unit 204, for according to described electrical network numerical characteristics and described electric power network technique feature, is divided at least following working stage: starting stage, developing stage, rear developing stage and saturation stage by described preset time period; Second acquisition unit 206, for obtaining the current signature amount of target grid to be measured, and determines the working stage belonging to described target grid to be measured according to described current signature amount.
Alternatively, described processing unit 204 is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage: according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point; Using the start time point of described preset time period to described fisrt feature time point as the described starting stage, using described fisrt feature time point to described second feature time point as described developing stage, using described second feature time point to described third feature time point as described rear developing stage, the termination time of described third feature time point to described preset time period is put as described saturation stage.
Alternatively, described processing unit 204 is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point: according to described electrical network numerical characteristics and described electric power network technique feature, computing function saturation value, function initial value parameter and growth parameter; Determine the first function
wherein, c is described function saturation value, and a is described function initial value parameter, and b is described growth parameter, and t represents the time; By asking 2 order derivatives to described first function, obtain
wherein, T
2for described second feature time point; By asking 3 order derivatives to described first function, obtain
wherein, T
1for described fisrt feature time point, T
3for described third feature time point.
Alternatively, described processing unit 204 is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage: according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity saturating capacity of described sample electrical network in described preset time period and electricity increment, when described electricity increment is less than the first preset multiple of described electricity saturating capacity, described sample electrical network is in the described starting stage, when described electricity increment arrives described first preset multiple of described electricity saturating capacity, described sample electrical network enters described developing stage, when described electricity increment arrives the second preset multiple of described electricity saturating capacity, described sample electrical network enters described rear developing stage, when described electricity increment arrives the 3rd preset multiple of described electricity saturating capacity, described sample electrical network enters described saturation stage, wherein, described first preset multiple is less than described second preset multiple, described second preset multiple is less than described 3rd preset multiple.
Alternatively, described processing unit 204 is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage: according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate; When described electricity growth rate is less than 0.167bc, described sample electrical network is in the described starting stage, when described electricity growth rate arrives 0.167bc, described sample electrical network enters described developing stage, when described electricity growth rate arrives 0.25bc, described sample electrical network enters described rear developing stage, when described electricity growth rate arrives 0.668 times of described maximum growth rate, described sample electrical network enters described saturation stage, wherein, c is function saturation value, and b is growth parameter.
Alternatively, described processing unit 204 is for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, calculate the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate: according to described electrical network numerical characteristics and described electric power network technique feature, calculate described function saturation value, function initial value parameter and described growth parameter; Determine the first function
wherein, a is described function initial value parameter, and t represents the time; By asking 1 order derivative to described first function, obtain
wherein, v (t) is described electricity growth rate.
In embodiments of the present invention, by the working stage of sample electrical network being divided into starting stage, developing stage, rear developing stage and saturation stage according to electrical network numerical characteristics and electric power network technique feature, and then determine the working stage belonging to target grid to be measured according to the current signature amount of target grid to be measured, reach the object of the working stage detecting target grid to be measured, thus achieve the technique effect of effectively planning power grid construction development, and then solve prior art cannot the technical matters of working stage residing for detection of grid.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
In the above embodiment of the present invention, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
In several embodiments that the application provides, should be understood that, disclosed technology contents, the mode by other realizes.Wherein, device embodiment described above is only schematic, the such as division of described unit, can be that a kind of logic function divides, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of unit or module or communication connection can be electrical or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed on multiple unit.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprises all or part of step of some instructions in order to make a computer equipment (can be personal computer, server or the network equipment etc.) perform method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, ROM (read-only memory) (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), portable hard drive, magnetic disc or CD etc. various can be program code stored medium.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (13)
1. a method for working stage residing for detection of grid, is characterized in that, comprising:
Obtain the characteristic quantity of sample electrical network in preset time period, wherein, described characteristic quantity at least comprises: electrical network numerical characteristics and electric power network technique feature, described electrical network numerical characteristics is for representing the part throttle characteristics of described sample electrical network, and described electric power network technique feature is for representing the framework attribute of described sample electrical network;
According to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided at least following working stage: starting stage, developing stage, rear developing stage and saturation stage;
Obtain the current signature amount of target grid to be measured, and determine the working stage belonging to described target grid to be measured according to described current signature amount.
2. method according to claim 1, is characterized in that, described according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage and comprises:
According to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point;
Using the start time point of described preset time period to described fisrt feature time point as the described starting stage, using described fisrt feature time point to described second feature time point as described developing stage, using described second feature time point to described third feature time point as described rear developing stage, the termination time of described third feature time point to described preset time period is put as described saturation stage.
3. method according to claim 2, is characterized in that, described according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point:
According to described electrical network numerical characteristics and described electric power network technique feature, computing function saturation value, function initial value parameter and growth parameter;
Determine the first function
wherein, c is described function saturation value, and a is described function initial value parameter, and b is described growth parameter, and t represents the time;
By asking 2 order derivatives to described first function, obtain
wherein, T
2for described second feature time point;
By asking 3 order derivatives to described first function, obtain
Wherein, T
1for described fisrt feature time point, T
3for described third feature time point.
4. method according to claim 1, is characterized in that, described according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage and comprises:
According to described electrical network numerical characteristics and described electric power network technique feature, calculate the electricity saturating capacity of described sample electrical network in described preset time period and electricity increment;
When described electricity increment is less than the first preset multiple of described electricity saturating capacity, described sample electrical network is in the described starting stage, when described electricity increment arrives described first preset multiple of described electricity saturating capacity, described sample electrical network enters described developing stage, when described electricity increment arrives the second preset multiple of described electricity saturating capacity, described sample electrical network enters described rear developing stage, when described electricity increment arrives the 3rd preset multiple of described electricity saturating capacity, described sample electrical network enters described saturation stage, wherein, described first preset multiple is less than described second preset multiple, described second preset multiple is less than described 3rd preset multiple.
5. method according to claim 1, is characterized in that, described according to described electrical network numerical characteristics and described electric power network technique feature, described preset time period is divided into developing stage, rear developing stage and saturation stage and comprises:
According to described electrical network numerical characteristics and described electric power network technique feature, calculate the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate;
When described electricity growth rate is less than 0.167bc, described sample electrical network is in the described starting stage, when described electricity growth rate arrives 0.167bc, described sample electrical network enters described developing stage, when described electricity growth rate arrives 0.25bc, described sample electrical network enters described rear developing stage, when described electricity growth rate arrives 0.668 times of described maximum growth rate, described sample electrical network enters described saturation stage, wherein, c is function saturation value, and b is growth parameter.
6. method according to claim 5, is characterized in that, described according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity growth rate of described sample electrical network in described preset time period and comprises:
According to described electrical network numerical characteristics and described electric power network technique feature, calculate described function saturation value, function initial value parameter and described growth parameter;
Determine the first function
wherein, a is described function initial value parameter, and t represents the time;
By asking 1 order derivative to described first function, obtain
wherein, v (t) is described electricity growth rate.
7. method according to any one of claim 1 to 6, it is characterized in that, described electrical network numerical characteristics comprise following one or more: load growth rate, the average radius of electricity supply of transformer station, load density, gross domestic product (GDP) GDP growth rate, per capita household electricity consumption, per capita installed capacity, industry and appliance load ratio and newly-built with reforming equipment ratio; Described electric power network technique feature comprise following one or more: energy-saving and emission-reduction, microgrid, novel conductive wire, extra-high voltage, large-scale wind power, photovoltaic cell and light-duty direct current; Described current signature amount comprise following one or more: the development time of described target grid to be measured, load growth rate, the average radius of electricity supply of transformer station, load density, gross domestic product (GDP) GDP growth rate, per capita household electricity consumption, per capita installed capacity, industry and appliance load ratio, newly-built with reforming equipment ratio, energy-saving and emission-reduction, microgrid, novel conductive wire, extra-high voltage, large-scale wind power, photovoltaic cell and light-duty direct current.
8. a pick-up unit, is characterized in that, comprising:
First acquiring unit, for obtaining the characteristic quantity of sample electrical network in preset time period, wherein, described characteristic quantity at least comprises: electrical network numerical characteristics and electric power network technique feature, described electrical network numerical characteristics is for representing the part throttle characteristics of described sample electrical network, and described electric power network technique feature is for representing the framework attribute of described sample electrical network;
Processing unit, for according to described electrical network numerical characteristics and described electric power network technique feature, is divided at least following working stage: starting stage, developing stage, rear developing stage and saturation stage by described preset time period;
Second acquisition unit, for obtaining the current signature amount of target grid to be measured, and determines the working stage belonging to described target grid to be measured according to described current signature amount.
9. device according to claim 8, it is characterized in that, described preset time period, for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, is divided into developing stage, rear developing stage and saturation stage by described processing unit:
According to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point;
Using the start time point of described preset time period to described fisrt feature time point as the described starting stage, using described fisrt feature time point to described second feature time point as described developing stage, using described second feature time point to described third feature time point as described rear developing stage, the termination time of described third feature time point to described preset time period is put as described saturation stage.
10. device according to claim 9, it is characterized in that, described processing unit for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, by Logistic fitting function method determination fisrt feature time point, second feature time point and third feature time point:
According to described electrical network numerical characteristics and described electric power network technique feature, computing function saturation value, function initial value parameter and growth parameter;
Determine the first function
wherein, c is described function saturation value, and a is described function initial value parameter, and b is described growth parameter, and t represents the time;
By asking 2 order derivatives to described first function, obtain
wherein, T
2for described second feature time point;
By asking 3 order derivatives to described first function, obtain
Wherein, T
1for described fisrt feature time point, T
3for described third feature time point.
11. devices according to claim 8, it is characterized in that, described preset time period, for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, is divided into developing stage, rear developing stage and saturation stage by described processing unit:
According to described electrical network numerical characteristics and described electric power network technique feature, calculate the electricity saturating capacity of described sample electrical network in described preset time period and electricity increment;
When described electricity increment is less than the first preset multiple of described electricity saturating capacity, described sample electrical network is in the described starting stage, when described electricity increment arrives described first preset multiple of described electricity saturating capacity, described sample electrical network enters described developing stage, when described electricity increment arrives the second preset multiple of described electricity saturating capacity, described sample electrical network enters described rear developing stage, when described electricity increment arrives the 3rd preset multiple of described electricity saturating capacity, described sample electrical network enters described saturation stage, wherein, described first preset multiple is less than described second preset multiple, described second preset multiple is less than described 3rd preset multiple.
12. devices according to claim 8, it is characterized in that, described preset time period, for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, is divided into developing stage, rear developing stage and saturation stage by described processing unit:
According to described electrical network numerical characteristics and described electric power network technique feature, calculate the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate;
When described electricity growth rate is less than 0.167bc, described sample electrical network is in the described starting stage, when described electricity growth rate arrives 0.167bc, described sample electrical network enters described developing stage, when described electricity growth rate arrives 0.25bc, described sample electrical network enters described rear developing stage, when described electricity growth rate arrives 0.668 times of described maximum growth rate, described sample electrical network enters described saturation stage, wherein, c is function saturation value, and b is growth parameter.
13. devices according to claim 12, it is characterized in that, described processing unit, for performing following steps according to described electrical network numerical characteristics and described electric power network technique feature, calculates the electricity growth rate of described sample electrical network in described preset time period and maximum growth rate:
According to described electrical network numerical characteristics and described electric power network technique feature, calculate described function saturation value, function initial value parameter and described growth parameter;
Determine the first function
wherein, a is described function initial value parameter, and t represents the time;
By asking 1 order derivative to described first function, obtain
wherein, v (t) is described electricity growth rate.
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