CN105205627A - Power grid electric power operation project determination method and system - Google Patents
Power grid electric power operation project determination method and system Download PDFInfo
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- CN105205627A CN105205627A CN201510751014.1A CN201510751014A CN105205627A CN 105205627 A CN105205627 A CN 105205627A CN 201510751014 A CN201510751014 A CN 201510751014A CN 105205627 A CN105205627 A CN 105205627A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a power grid electric power operation project determination method and system. The power grid electric power operation project determination method comprises the following steps: establishing a power grid business performance analysis prediction model comprising to-be-analyzed input indexes and a target index, wherein the to-be-analyzed input indexes are parameters included in an electric power operation project; setting the selected value of the current to-be-analyzed input index, wherein the values of other to-be-analyzed input indexes are the reference values respectively; determining the values of the current to-be-analyzed input index as the corresponding output values of the target index with the selected value; determining the elastic coefficient of the current to-be-analyzed input index to the target index according to the selected values of the current to-be-analyzed input index and the corresponding output values of the target index; according to the elastic coefficients and risk preferences corresponding to the to-be-analyzed input indexes, determining the combining scheme of different values of the to-be-analyzed input indexes and regarding the combining scheme as the determined power operation project. According to the combining scheme, the setting of parameter values in the power operation project is more reasonable, the determined power grid electric power operation project is more suitable, and the power grid performance is improved.
Description
Technical field
The present invention relates to electric power network technique field, particularly a kind of grid power Management plan defining method and system.
Background technology
In electric power network technique, the formulation of numerous type of electrical power Management plan can be related to, in general, for some details, can formulate multiple different power operation scheme, and the power operation scheme that selection one is optimum from this multiple power operation scheme is applied in network system.In this multiple power operation scheme; usual meeting is distinguished based on the difference etc. of the number of parameter and the difference of type and processing mode; for this certain specific power operation scheme wherein; because the number of its parameter and type processing mode that is fixed, that adopt is also fixed; therefore be all be considered as a power operation scheme; the concrete value of each parameter in scheme, determines based on historical correlation data or technical experience usually.But, in actual electric network operational process, for the number of parameter and the also fixed such power operation scheme of type processing mode that is fixed, that adopt, determine to make electric network performance reach an optimal effectiveness to parameter value based on traditional technical experience.
Summary of the invention
Based on this, the object of the embodiment of the present invention is to provide a kind of grid power Management plan defining method and a kind of grid power Management plan certainty annuity, it can reasonably set the value of parameter in power operation scheme, thus determine suitable grid power Management plan, improve electric network performance.
For achieving the above object, the embodiment of the present invention by the following technical solutions:
A kind of grid power Management plan defining method, comprises step:
According to power operation scheme, set up the electrical network service feature analyses and prediction model corresponding with power operation scheme, described electrical network service feature analyses and prediction model comprises input pointer to be analyzed, target indicator, and described input pointer to be analyzed is the parameter comprised in described power operation scheme;
Set reference value and the mobility scale of each input pointer to be analyzed;
According to the reference value of each input pointer to be analyzed and the selected value of the current input pointer to be analyzed of mobility scale setting, the value keeping other input pointers to be analyzed except described current input pointer to be analyzed is respective reference value, determines the corresponding output valve of the target indicator when value of described current input pointer to be analyzed is respectively each selected value;
According to each selected value of current input pointer to be analyzed, the corresponding output valve of described target indicator, determine the mobility scale of described target indicator, and determine that described current input pointer to be analyzed is to the elasticity coefficient of described target indicator;
The elasticity coefficient corresponding according to each input pointer to be analyzed and risk partiality, determine the assembled scheme of the value of different input pointer to be analyzed, and using this assembled scheme as the power operation scheme selecting to determine.
A kind of grid power Management plan certainty annuity, comprising:
Model building module, for according to power operation scheme, set up the electrical network service feature analyses and prediction model corresponding with power operation scheme, described electrical network service feature analyses and prediction model comprises input pointer to be analyzed, target indicator, and described input pointer to be analyzed is the parameter comprised in described power operation scheme;
Value setting module, for setting reference value and the mobility scale of each input pointer to be analyzed;
Analysis module, for the selected value according to the reference value of each input pointer to be analyzed and the current input pointer to be analyzed of mobility scale setting, the value keeping other input pointers to be analyzed except described current input pointer to be analyzed is respective reference value, determine the corresponding output valve of the target indicator when value of described current input pointer to be analyzed is respectively each selected value, according to each selected value of current input pointer to be analyzed, the corresponding output valve of described target indicator, determine the mobility scale of described target indicator, and determine that described current input pointer to be analyzed is to the elasticity coefficient of described target indicator,
Scheme determination module, for according to elasticity coefficient corresponding to each input pointer to be analyzed and risk partiality, determines the assembled scheme of the value of different input pointer to be analyzed, and using this assembled scheme as the power operation scheme selecting to determine.
According to the scheme of the embodiment of the present invention as above, it is based on set up power operation scheme, set the electrical network service feature analyses and prediction model corresponding with this power operation scheme, input parameter in this electrical network service feature analyses and prediction model is the parameter comprised in power operation scheme, and by changing the value of input parameter, analyze the situation of change of corresponding output target, and in conjunction with the change of the value of input parameter and the change of corresponding output target, determine the elasticity coefficient of input pointer to target indicator, and the concrete value of corresponding input pointer is determined based on elasticity coefficient, thus based on paid close attention to output target, can reasonably set the concrete value of each parameter in power operation scheme, abandon the general situation based on practical experience setup parameter value, thus make the power operation scheme finally obtained more can meet the re-set target standard corresponding to and export target, more reasonable to the setting of the value of parameter in power operation scheme, determined grid power Management plan is more suitable, improve electric network performance.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the grid power Management plan defining method in an embodiment;
Fig. 2 is the structural representation of the grid power Management plan certainty annuity in an embodiment.
Embodiment
For making object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is described in further detail.Should be appreciated that embodiment described herein only in order to explain the present invention, do not limit protection scope of the present invention.
The schematic flow sheet of the grid power Management plan defining method in an embodiment has been shown in Fig. 1.As shown in Figure 1, the method in the present embodiment comprises step:
Step S101: according to power operation scheme, set up the electrical network service feature analyses and prediction model corresponding with power operation scheme, described electrical network service feature analyses and prediction model comprises input pointer to be analyzed, target indicator, and described input pointer to be analyzed is the parameter comprised in described power operation scheme;
Step S102: the reference value and the mobility scale that set each input pointer to be analyzed;
Step S103: according to the reference value of each input pointer to be analyzed and the selected value of the current input pointer to be analyzed of mobility scale setting, the value keeping other input pointers to be analyzed except described current input pointer to be analyzed is respective reference value, determines the corresponding output valve of the target indicator when value of described current input pointer to be analyzed is respectively each selected value;
Step S104: according to each selected value of current input pointer to be analyzed, the corresponding output valve of described target indicator, determine the mobility scale of described target indicator, and determine that described current input pointer to be analyzed is to the elasticity coefficient of described target indicator;
Step S105: the elasticity coefficient corresponding according to each input pointer to be analyzed and risk partiality, determines the assembled scheme of the value of different input pointer to be analyzed, and using this assembled scheme as the power operation scheme selecting to determine.
According to the scheme of the embodiment of the present invention as above, it is based on set up power operation scheme, set the electrical network service feature analyses and prediction model corresponding with this power operation scheme, input parameter in this electrical network service feature analyses and prediction model is the parameter comprised in power operation scheme, and by changing the value of input parameter, analyze the situation of change of corresponding output target, and in conjunction with the change of the value of input parameter and the change of corresponding output target, determine the elasticity coefficient of input pointer to target indicator, and the concrete value of corresponding input pointer is determined based on elasticity coefficient, thus based on paid close attention to output target, can reasonably set the concrete value of each parameter in power operation scheme, abandon the general situation based on practical experience setup parameter value, thus make the power operation scheme finally obtained more can meet the re-set target standard corresponding to and export target, more reasonable to the setting of the value of parameter in power operation scheme, determined grid power Management plan is more suitable, improve electric network performance.
Wherein, the input pointer current to be analyzed mentioned in above-mentioned steps S103, step S104, can only have one of them input pointer to be analyzed, also can be comprise at least two input pointers to be analyzed.Be described respectively below in conjunction with wherein two kinds of modes.
Wherein in a kind of mode, current input pointer to be analyzed can be only have an input pointer to be analyzed, when namely only the value of an analysis input pointer to be analyzed changes, and the change conditions of corresponding target indicator.A concrete process can be as described below:
First, choose one of them input pointer to be analyzed as current input pointer to be analyzed, the value setting this current input pointer to be analyzed is corresponding reference value, and the value of other the to be analyzed input pointers of setting except this current input pointer to be analyzed is respective reference value, and input above-mentioned electrical network service feature analyses and prediction model, determine the corresponding output valve of target indicator.It will be appreciated by those skilled in the art that, the specific implementation setting up electrical network service feature analyses and prediction model can adopt any possible mode to carry out, as long as the corresponding interrelational form of each input pointer to be analyzed and this target indicator can be embodied, based on the difference of selected target indicator, the electrical network service feature analyses and prediction model set up can difference to some extent.
Then, in the reference value corresponding with present analysis input pointer and mobility scale, change the value of current input pointer to be analyzed, and keep the value of other input pointers to be analyzed except this current input pointer to be analyzed to be that respective reference value is constant, input above-mentioned electrical network service feature analyses and prediction model, determine the corresponding output valve of target indicator.After the selected value of current input pointer to be analyzed is chosen, based on each selected value of this current input pointer to be analyzed and the corresponding output valve of corresponding target indicator, determine the mobility scale of target indicator, and determine that current input pointer to be analyzed is to the elasticity coefficient of target indicator, wherein, this elasticity coefficient can be determined based on the mobility scale of the situation of change of the value of input pointer to be analyzed and target indicator.
Subsequently, choose next input pointer to be analyzed as current input pointer to be analyzed, repeat said process, determine that this next input pointer to be analyzed is to the elasticity coefficient of target indicator.
Repeat said process, until determine all input pointers to be analyzed separately to the elasticity coefficient of target indicator.
Subsequently, based on each input pointer to be analyzed separately to the elasticity coefficient of target indicator, can determine that the value of each input pointer to be analyzed is applied in power operation scheme, form final power operation scheme and be applied in electrical network.Wherein, when determining the value of each input pointer to be analyzed based on elasticity coefficient, except the size based on corresponding elasticity coefficient is determined, can determine in conjunction with the size sequence of the elasticity coefficient of each input pointer to be analyzed simultaneously, such as, the input pointer to be analyzed that elasticity coefficient is larger, its corresponding value can be less, the input pointer to be analyzed that elasticity coefficient is less, its corresponding value can be larger.The actual mode determining the value of input pointer to be analyzed based on elasticity coefficient, any possible mode can be adopted to carry out, such as, for certain input pointer to be analyzed, can in conjunction with the reference value of this input pointer to be analyzed, and the elasticity coefficient of this input pointer to be analyzed, adopt corresponding mathematical computations mode (the mathematical computations mode such as based on being multiplied, being divided by) to determine the value etc. of this input pointer to be analyzed.Again such as, a kind of elasticity coefficient of electric power presentation mode is larger, when the elasticity coefficient of another kind of electric power supply mode is less, the proportioning of the delivery of these two kinds of electric power supply modes of adjustment that can be suitable, minimum with the impact making the change of electric power supply cause target indicator.Certainly, it will be understood by those skilled in the art that and various possible mode can be adopted to realize the deterministic process of this value, repeat no longer in detail at this.
In a further mode of operation, current input pointer to be analyzed can be include at least two input pointers to be analyzed, be assumed to be N (N be more than or equal to 2 integer) individual, namely analyze N input pointer to be analyzed and act on down simultaneously, the change conditions of corresponding target indicator.A concrete process can be as described below:
First, choose N number of input pointer to be analyzed as current input pointer to be analyzed, the value setting this current input pointer to be analyzed is corresponding reference value, and the value of other the to be analyzed input pointers of setting except this current input pointer to be analyzed is respective reference value, and input above-mentioned electrical network service feature analyses and prediction model, determine the corresponding output valve of target indicator.Then, in the reference value corresponding with present analysis input pointer and mobility scale, change the value of current input pointer to be analyzed, and keep the value of other input pointers to be analyzed except this current input pointer to be analyzed to be that respective reference value is constant, wherein, when changing the value of this N number of input pointer to be analyzed, the situation of change of each input pointer to be analyzed can be asynchronous (when the value of a such as input pointer to be analyzed increases, the value of another input pointer to be analyzed can reduce), input above-mentioned electrical network service feature analyses and prediction model, determine the corresponding output valve of target indicator.After the selected value (comprising various combined situation) of current input pointer to be analyzed is chosen, based on each selected value of this current input pointer to be analyzed and the corresponding output valve of corresponding target indicator, determine the mobility scale of target indicator, and determine that current input pointer to be analyzed is to the elasticity coefficient of target indicator., wherein, this elasticity coefficient can be determined based on the mobility scale of the situation of change of the value of this N number of input pointer to be analyzed and target indicator
Subsequently, (the N number of input pointer to be analyzed of this group can include identical input pointer to be analyzed with upper one group of N number of input pointer to be analyzed to choose the N number of input pointer to be analyzed of next group, also can be comprise completely not identical input pointer to be analyzed) as current input pointer to be analyzed, repeat said process, determine that this lower group N number of input pointer to be analyzed is to the elasticity coefficient of target indicator.
Repeat said process, until determine each group of N number of input pointer to be analyzed separately to the elasticity coefficient of target indicator.
Subsequently, based on each group of N number of input pointer to be analyzed separately to the elasticity coefficient of target indicator, can determine that the value of each input pointer to be analyzed is applied in power operation scheme, form final power operation scheme and be applied in electrical network.Wherein, when determining the value of each input pointer to be analyzed based on elasticity coefficient, the value of elasticity coefficient minimum one group of N number of input pointer to be analyzed can be selected to set, also can be select the value of one group of maximum N number of input pointer to be analyzed of elasticity coefficient to set, the actual mode determining the value of input pointer to be analyzed based on elasticity coefficient, any possible mode can be adopted to carry out, such as, for certain input pointer to be analyzed, can in conjunction with the reference value of this input pointer to be analyzed, and this input pointer to be analyzed is in the elasticity coefficient of the group correspondence of each N number of input pointer to be analyzed, adopt corresponding mathematical computations mode (such as to be multiplied, mathematical computations mode based on being divided by) determine the value etc. of this input pointer to be analyzed.Certainly, it will be understood by those skilled in the art that and various possible mode can be adopted to realize the deterministic process of this value, repeat no longer in detail at this.
In the technology application process of reality, both can perform and carry out based on an input pointer to be analyzed the mode analyzed, also perform and carry out for each input pointer to be analyzed of N the mode analyzed, finally carry out comprehensively analyzing the value determining each input pointer to be analyzed in conjunction with all elasticity coefficient.The concrete mode determining the value of input pointer to be analyzed based on elasticity coefficient, can adopt any possible mode to carry out, repeat no longer in detail at this.Such as, for a person skilled in the art, in conjunction with corresponding elasticity coefficient, can in conjunction with the reference value of this input pointer to be analyzed, and the elasticity coefficient of this input pointer to be analyzed, adopt corresponding mathematical computations mode to determine value of this input pointer to be analyzed etc.
Wherein, the selected value of above-mentioned each input pointer to be analyzed, can select in its corresponding mobility scale in conjunction with actual needs.The object realized for convenience, in one particular embodiment of the present invention, can be set as comprising following each value to the selected value of each input pointer to be analyzed: the reference value of this input pointer to be analyzed, increase on the basis of this reference value the first predetermined percentage value, increase on the basis of this reference value the second predetermined percentage value, on the basis of this reference value, reduce the value of the first predetermined percentage, on the basis of this reference value, reduce the value of the second predetermined percentage.
This first predetermined percentage, the second predetermined percentage can set in conjunction with actual needs, in a concrete example of scheme of the invention, the first predetermined percentage can be set as 10%, the second predetermined percentage is set as 20%.
Above-mentioned target indicator, based on the difference of electrical network type of service to be analyzed, can be set as dissimilar parameter, can meet dissimilar business demand to make set up power operation scheme.Such as, in a concrete example, above-mentioned target indicator can be economic value added, can meet the corresponding economic requirement increased to make set up power operation scheme.
Based on the thought identical with said method, the embodiment of the present invention also provides a kind of grid power Management plan certainty annuity.The structural representation of the grid power Management plan certainty annuity in an embodiment has been shown in Fig. 2.
As shown in Figure 2, the system in the present embodiment comprises:
Model building module 201, for according to power operation scheme, set up the electrical network service feature analyses and prediction model corresponding with power operation scheme, described electrical network service feature analyses and prediction model comprises input pointer to be analyzed, target indicator, and described input pointer to be analyzed is the parameter comprised in described power operation scheme;
Value setting module 202, for setting reference value and the mobility scale of each input pointer to be analyzed;
Analysis module 203, for the selected value according to the reference value of each input pointer to be analyzed and the current input pointer to be analyzed of mobility scale setting, the value keeping other input pointers to be analyzed except described current input pointer to be analyzed is respective reference value, determine the corresponding output valve of the target indicator when value of described current input pointer to be analyzed is respectively each selected value, according to each selected value of current input pointer to be analyzed, the corresponding output valve of described target indicator, determine the mobility scale of described target indicator, and determine that described current input pointer to be analyzed is to the elasticity coefficient of described target indicator,
Scheme determination module 204, for the elasticity coefficient that the input pointer each to be analyzed determined according to described analysis module is corresponding, the assembled scheme of the value of different input pointer to be analyzed is determined in conjunction with risk partiality, and using this assembled scheme as the power operation scheme selecting to determine.
According to the scheme of the embodiment of the present invention as above, it is based on set up power operation scheme, set the electrical network service feature analyses and prediction model corresponding with this power operation scheme, input parameter in this electrical network service feature analyses and prediction model is the parameter comprised in power operation scheme, and by changing the value of input parameter, analyze the situation of change of corresponding output target, and in conjunction with the change of the value of input parameter and the change of corresponding output target, determine the elasticity coefficient of input pointer to target indicator, and the concrete value of corresponding input pointer is determined based on elasticity coefficient, thus based on paid close attention to output target, can reasonably set the concrete value of each parameter in power operation scheme, abandon the general situation based on practical experience setup parameter value, thus make the power operation scheme finally obtained more can meet the re-set target standard corresponding to and export target, more reasonable to the setting of the value of parameter in power operation scheme, determined grid power Management plan is more suitable, improve electric network performance.
Wherein, current input pointer to be analyzed, can only have one of them input pointer to be analyzed, also can be comprise at least two input pointers to be analyzed.Comprise an input pointer to be analyzed at current input pointer to be analyzed, concrete analysis process when comprising at least two input pointers to be analyzed, the mode identical with above-mentioned grid power Management plan defining method can be adopted to carry out.
Wherein, the selected value of above-mentioned each input pointer to be analyzed, can select in its corresponding mobility scale in conjunction with actual needs.The object realized for convenience, in one particular embodiment of the present invention, can be set as comprising following each value to the selected value of each input pointer to be analyzed: the reference value of this input pointer to be analyzed, increase on the basis of this reference value the first predetermined percentage value, increase on the basis of this reference value the second predetermined percentage value, on the basis of this reference value, reduce the value of the first predetermined percentage, on the basis of this reference value, reduce the value of the second predetermined percentage.
This first predetermined percentage, the second predetermined percentage can set in conjunction with actual needs, in a concrete example of scheme of the invention, the first predetermined percentage can be set as 10%, the second predetermined percentage is set as 20%.
Above-mentioned target indicator, based on the difference of electrical network type of service to be analyzed, can be set as dissimilar parameter, can meet dissimilar business demand to make set up power operation scheme.Such as, in a concrete example, above-mentioned target indicator can be economic value added, can meet the corresponding economic requirement increased to make set up power operation scheme.
Each technical characteristic of the above embodiment can combine arbitrarily, for making description succinct, the all possible combination of each technical characteristic in above-described embodiment is not all described, but, as long as the combination of these technical characteristics does not exist contradiction, be all considered to be the scope that this instructions is recorded.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be construed as limiting the scope of the patent.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a grid power Management plan defining method, is characterized in that, comprises step:
According to power operation scheme, set up the electrical network service feature analyses and prediction model corresponding with power operation scheme, described electrical network service feature analyses and prediction model comprises input pointer to be analyzed, target indicator, and described input pointer to be analyzed is the parameter comprised in described power operation scheme;
Set reference value and the mobility scale of each input pointer to be analyzed;
According to the reference value of each input pointer to be analyzed and the selected value of the current input pointer to be analyzed of mobility scale setting, the value keeping other input pointers to be analyzed except described current input pointer to be analyzed is respective reference value, determines the corresponding output valve of the target indicator when value of described current input pointer to be analyzed is respectively each selected value;
According to each selected value of current input pointer to be analyzed, the corresponding output valve of described target indicator, determine the mobility scale of described target indicator, and determine that described current input pointer to be analyzed is to the elasticity coefficient of described target indicator;
The elasticity coefficient corresponding according to each input pointer to be analyzed and risk partiality, determine the assembled scheme of the value of different input pointer to be analyzed, and using this assembled scheme as the power operation scheme selecting to determine.
2. grid power Management plan defining method according to claim 1, is characterized in that, described current input pointer to be analyzed comprises at least two input pointers to be analyzed.
3. grid power Management plan defining method according to claim 1 and 2, it is characterized in that, described selected value comprises: described reference value, increase on the basis of described reference value the first predetermined percentage value, increase on the basis of described reference value the second predetermined percentage value, on the basis of described reference value, reduce the value of the first predetermined percentage, on the basis of described reference value, reduce the value of the second predetermined percentage.
4. grid power Management plan defining method according to claim 3, is characterized in that, described first predetermined percentage is 10%, and described second predetermined percentage is 20%.
5. grid power Management plan defining method according to claim 1 and 2, is characterized in that, described target indicator is economic value added.
6. a grid power Management plan certainty annuity, is characterized in that, comprising:
Model building module, for according to power operation scheme, set up the electrical network service feature analyses and prediction model corresponding with power operation scheme, described electrical network service feature analyses and prediction model comprises input pointer to be analyzed, target indicator, and described input pointer to be analyzed is the parameter comprised in described power operation scheme;
Value setting module, for setting reference value and the mobility scale of each input pointer to be analyzed;
Analysis module, for the selected value according to the reference value of each input pointer to be analyzed and the current input pointer to be analyzed of mobility scale setting, the value keeping other input pointers to be analyzed except described current input pointer to be analyzed is respective reference value, determine the corresponding output valve of the target indicator when value of described current input pointer to be analyzed is respectively each selected value, according to each selected value of current input pointer to be analyzed, the corresponding output valve of described target indicator, determine the mobility scale of described target indicator, and determine that described current input pointer to be analyzed is to the elasticity coefficient of described target indicator,
Scheme determination module, for according to elasticity coefficient corresponding to each input pointer to be analyzed and risk partiality, determines the assembled scheme of the value of different input pointer to be analyzed, and using this assembled scheme as the power operation scheme selecting to determine.
7. grid power Management plan certainty annuity according to claim 6, is characterized in that, described current input pointer to be analyzed comprises at least two input pointers to be analyzed.
8. the grid power Management plan certainty annuity according to claim 6 or 7, it is characterized in that, described selected value comprises: described reference value, increase on the basis of described reference value the first predetermined percentage value, increase on the basis of described reference value the second predetermined percentage value, on the basis of described reference value, reduce the value of the first predetermined percentage, on the basis of described reference value, reduce the value of the second predetermined percentage.
9. grid power Management plan certainty annuity according to claim 8, is characterized in that, described first predetermined percentage is 10%, and described second predetermined percentage is 20%.
10. the grid power Management plan certainty annuity according to claim 6 or 7, is characterized in that, described target indicator is economic value added.
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