CN115759775A - NCFI carbon emission responsibility allocation method and device considering fairness - Google Patents
NCFI carbon emission responsibility allocation method and device considering fairness Download PDFInfo
- Publication number
- CN115759775A CN115759775A CN202211468701.9A CN202211468701A CN115759775A CN 115759775 A CN115759775 A CN 115759775A CN 202211468701 A CN202211468701 A CN 202211468701A CN 115759775 A CN115759775 A CN 115759775A
- Authority
- CN
- China
- Prior art keywords
- apportionment
- carbon emission
- responsibility
- satisfaction
- node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
Abstract
The invention discloses an NCFI carbon emission responsibility allocation method, device, electronic equipment and readable storage medium considering fairness. The apportionment device comprises a power flow distribution acquisition module, an original apportionment result acquisition module, an apportionment fairness interval acquisition module, an original satisfaction acquisition module and a satisfaction optimization adjustment module. The satisfaction optimization and adjustment module comprises an original satisfaction calculation module, a first satisfaction optimization and adjustment module and a second satisfaction optimization and adjustment module. On one hand, the method can better link the historical emission responsibility and the individual development opportunity of the load node with the carbon emission responsibility of the node, considers the fairness on the premise of not changing the total responsibility apportionment amount, and avoids the phenomenon of lacking of fairness of the apportionment scheme; on the other hand, on the basis of reasonable and feasible apportionment results, the responsibility apportionment quantity of most load nodes is reduced, effective data support is provided for the establishment of carbon reduction strategies of enterprises, and the method has important significance on economic coordination development.
Description
Technical Field
The invention belongs to the field of carbon emission reduction of an electric power system, and particularly relates to a method and a device for sharing carbon emission responsibility of NCFI (non-point Fidelity) with fairness considered.
Technical Field
In recent years, more and more students worldwide invest in carbon-related fields, and a plurality of low-carbon development keywords such as carbon quota, carbon allocation, carbon trading, carbon market and the like and related research fields are derived and rapidly developed. The carbon emission amount of the power industry, which is an important energy department in China, is always high, and the division of carbon emission responsibility is particularly important for ensuring the smooth realization of the carbon emission reduction target of a power system, so that the key word of 'carbon emission responsibility sharing' is derived.
The carbon emission responsibility allocation means that the carbon emission intensity of each node is calculated according to a carbon flow theory on the basis of counting and analyzing the carbon emission of the power generation side, the power grid side and the load side of the power system; and finally, dividing the emission responsibility which each node should bear by adopting a proper allocation method. Greenhouse gas emissions are a major cause of global warming. A rational division of carbon emission responsibilities is an important basis for achieving the above objectives. The power industry is used as a main fossil energy consumption and carbon emission department, reasonable distribution of carbon emission responsibility of a power system is realized, accurate judgment of key emission reduction areas is facilitated, the production end and the transportation end are promoted to improve power production and transmission scheduling capability, the saving consciousness and reasonable power utilization capability of the consumption end are enhanced, and the power system has important significance in promoting carbon emission reduction cooperation and economic coordination development among the areas.
In the traditional methods including the macroscopic statistical method, the full life cycle and the like, the apportionment result only considers the emission responsibility of the power generation side and ignores the responsibility to be apportioned by the network and the load side due to neglecting the network structure and the transmission characteristic of the power system, so that the fair distribution of the carbon emission responsibility cannot be realized, and the difficulty in implementing the energy-saving and emission-reducing policy is increased. Therefore, in the process of analyzing and calculating the carbon emission responsibility of the system, the visual angle is placed on the power load side, the carbon emission change trend of the load node is accurately identified by combining the historical emission responsibility of the load node and the influence factors of individual development opportunities, the fairness of the responsibility apportionment scheme can be practically improved, the industry development requirements are met, and the low-carbon level development of the industry is facilitated.
Disclosure of Invention
The invention aims to provide an NCFI carbon emission responsibility apportionment method and device considering fairness, wherein the NCFI is fully called Node carbon footprint intensity, the literal name is Node carbon footprint intensity, the problem that the traditional NCFI carbon emission responsibility apportionment method does not consider apportionment scheme fairness is solved, the historical emission responsibility of a Node and a future individual development machine are innovatively combined with the current apportionment result, fairness deficiency caused by neglecting time factors when in apportionment of carbon emission responsibility in the past is effectively avoided, responsibility transfer and opaque intermediate processes caused by singly considering power generation side apportionment are effectively avoided, the characteristics of a power system lossy network are fully exerted, the fairness of the apportionment scheme is remarkably improved, and a sufficient decision space is provided for decision makers.
In order to achieve the purpose, the invention provides an NCFI carbon emission responsibility apportionment method considering fairness, which comprises the following steps of:
carrying out power system load flow calculation by adopting a power distribution network simulation platform, quantitatively evaluating the load flow distribution condition of the system and obtaining the load flow distribution condition;
establishing a system carbon flow relation calculation model according to the load flow distribution condition, further establishing a system node carbon trace intensity calculation model based on the system carbon flow relation obtained by the calculation model, and calculating to obtain an original carbon emission responsibility apportionment result of each load node;
respectively constructing carbon emission responsibility apportionment results of each load node based on a historical responsibility principle and an individual equal development principle, and determining the upper limit and the lower limit of a carbon emission responsibility apportionment fairness interval of the corresponding node according to the carbon emission responsibility apportionment results;
constructing a scheme fairness calculation model of each load node according to the upper limit and the lower limit of the corresponding node carbon emission responsibility apportionment fairness interval and the original carbon emission responsibility apportionment result of each load node, and obtaining corresponding original satisfaction and a satisfaction standard deviation;
and performing satisfaction optimization adjustment on the original satisfaction and the standard deviation of the satisfaction based on the principle that the scheme fairness calculation model and the original carbon emission responsibility apportionment result total amount are not changed.
Further, the step of obtaining the power flow distribution situation is as follows:
step A1: analyzing a given system topological structure network diagram;
step A2: collecting basic parameters required by the construction system for load flow calculation based on the network diagram of the system topological structure;
step A3: according to the collected basic parameters, carrying out modeling simulation calculation on the electric power system in a simulation platform;
step A4: and determining the power flow distribution condition of the system based on the power flow result calculated by the simulation platform.
Further, the step of obtaining the result of the contribution of the original carbon emission responsibility is as follows:
step B1: according to the load flow distribution condition, establishing a system carbon flow relation calculation model:
wherein, the first and the second end of the pipe are connected with each other,
the total carbon flow vector flowing through the node;
countercurrent distribution matrix for system consideration of grid loss, C fG Column vectors are injected for the carbon flows of the power generation nodes, wherein the corresponding element of the non-power generation node is 0; p mn Is a section ofThe point n flows into the active power of the head end of the branch mn; p is n The flow power for node n; Γ _ (m) is an incoming line set of the node m;
and step B2: based on the system carbon flow relationship obtained by the calculation, a system node carbon trace intensity calculation model is further constructed, and the original carbon emission responsibility apportionment result of each load node is obtained by calculation:
x i ＝P Di F f(i) (1d)
wherein: f is a vector of the system carbon trace intensity; p n Is the sum of the node incoming or outgoing power; x is the number of i Apportioning the amount of raw carbon emission responsibilities, P, for load node i Di The active power consumption of the load node i; f f(i) And the carbon trace strength value is the carbon trace strength value of the node where the load node i is located.
Further, the steps of obtaining the upper limit and the lower limit of the carbon emission responsibility apportionment fairness interval are as follows:
step C1: analyzing from the historical responsibility perspective, and calculating the carbon emission responsibility apportionment quantity of the node i under the historical responsibility principle:
wherein: c ih The carbon emission responsibility apportionment quantity of the node i is based on the historical responsibility principle; c it The total carbon emission responsibility to be allocated for each load node is calculated according to the historical responsibility principle; HC ie Under the historical responsibility principle, the historical carbon emission of the load node i; n is the total number of load nodes participating in the sharing under the historical responsibility principle;
and step C2: from the perspective of the individual equal development, calculating the carbon emission responsibility apportionment of the node i under the individual equal principle:
wherein: c ip The carbon emission responsibility distributed to the load node i under the principle of equal development of individuals; p i Calculating a demand predicted value of a load node i in a period under an individual equal development principle; c iw The total amount of the carbon emission responsibility to be allocated in the future is apportioned under the principle of the equal development of individuals; n is the total number of load nodes participating in the allocation under the principle of individual equal development;
step C3: determining the upper limit and the lower limit of the carbon emission responsibility apportionment fairness interval of the load node i:
C iu ＝Max(C ih ,C ip ) (2c)
C id ＝Min(C ih ,C ip ) (2d)
wherein: c iu Allocating an upper limit for the carbon emission responsibility of the load node i; c id A lower limit is assigned to the carbon emission responsibility of the load node i.
Further, the functional expression of the scheme fairness computation model is as follows:
wherein: u. of i The satisfaction degree of the load node i is obtained; c i Allocating the carbon emission responsibility of the load node i; sigma is a satisfaction standard deviation; and N is the number of load nodes.
Further, the satisfaction optimization and adjustment steps are as follows:
step E1: calculating the original satisfaction degree and the standard deviation of the original satisfaction degree of each load node based on the NCFI carbon emission responsibility apportionment method through a function of a scheme fairness calculation model, and sequencing the original satisfaction degrees of each load node from small to large;
step E2: selecting the member with the lowest original satisfaction degree, analyzing reasons, readjusting the satisfaction degree to 0.5, obtaining the once-adjusted apportionment of the member according to a function of a scheme fairness computation model, and then sequentially readjusting the satisfaction degrees of the rest load nodes to 0.5 according to the sequence from small to large, and obtaining the apportionment of the load nodes;
and E3: and calculating to obtain a corresponding carbon emission responsibility apportionment result of the member with the highest original satisfaction degree rank based on the principle that the total amount of the original carbon emission responsibility apportionment result is unchanged, and then re-adjusting the satisfaction degree of the member with the highest original satisfaction degree rank after one-time adjustment to obtain the satisfaction degree standard deviation of each load node after one-time adjustment.
The invention also provides an NCFI carbon emission responsibility apportionment device considering fairness, which comprises:
the power flow distribution acquisition module is used for carrying out power flow calculation on the power system based on the power distribution network simulation platform, quantitatively evaluating the power flow distribution condition of the system and acquiring the power flow distribution condition;
the original apportionment result acquisition module is used for establishing a system carbon flow relation calculation model according to the load flow distribution condition, further establishing a system node carbon track strength calculation model based on the system carbon flow relation obtained by the calculation model, and calculating to obtain an original carbon emission responsibility apportionment result of each load node;
an apportionment fairness interval obtaining module: the system is used for respectively constructing carbon emission responsibility apportionment quantities of all load nodes based on a historical responsibility principle and an individual equal development principle, and determining the upper limit and the lower limit of a corresponding node carbon emission responsibility apportionment fairness interval according to the carbon emission responsibility apportionment result;
the original satisfaction degree obtaining module is used for constructing a scheme fairness calculation model of each load node according to the upper limit and the lower limit of the corresponding node carbon emission responsibility apportionment fairness interval and the original carbon emission responsibility apportionment result of each load node, and obtaining corresponding original satisfaction degree and a satisfaction degree standard deviation;
and the satisfaction optimization and adjustment module is used for performing satisfaction optimization and adjustment on the original satisfaction and the standard deviation of the satisfaction based on the principle that the scheme fairness calculation model and the original carbon emission responsibility apportionment result total amount are not changed.
Further, the satisfaction optimization adjustment module comprises:
the original satisfaction calculation module is used for calculating the original satisfaction and the original satisfaction standard deviation of each load node based on the NCFI carbon emission responsibility apportionment method through a function of the scheme fairness calculation model and sequencing the original satisfaction of each load node from small to large;
the first satisfaction optimization and adjustment module is used for selecting the member with the lowest original satisfaction, analyzing reasons, readjusting the satisfaction to 0.5, obtaining the once-adjusted apportionment of the member according to a function of a scheme fairness computation model, and then sequentially readjusting the satisfaction of the remaining load nodes to 0.5 according to the sequence from small to large, and obtaining the apportionment of the load nodes;
and the second satisfaction optimization and adjustment module is used for calculating the corresponding carbon emission responsibility apportionment result of the member with the highest rank of the original satisfaction based on the principle that the total amount of the original carbon emission responsibility apportionment result is not changed, re-adjusting the satisfaction of the member after one-time adjustment, and obtaining the satisfaction standard deviation of each load node after one-time adjustment.
The present invention also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the one fairness considered NCFI carbon emissions responsibility apportionment method.
The present invention also provides a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, perform the steps of the one method for apportioning carbon emissions responsibility for NCFI in view of fairness.
The invention has the beneficial effects that:
1. the method can better link the load node historical responsibility principle and the individual equal development principle with the carbon emission responsibility after considering the Node Carbon Footprint Intensity (NCFI), further adjusts by using the fairness calculation model, considers the fairness on the premise of not changing the total responsibility apportionment quantity, and avoids the phenomenon of fairness loss of the apportionment scheme;
2. the method reduces the responsibility apportionment amount of most load members on the basis of reasonable and feasible apportionment results, improves the overall fairness compared with two apportionment results based on a load capacity proportion apportionment method, provides effective data support for the establishment of an enterprise carbon reduction strategy, and has important significance for promoting carbon emission reduction cooperation and economic coordination development among various regions.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a schematic diagram of a specific topological network structure and a power flow calculation result in an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the following figures and specific examples:
the invention designs an NCFI carbon emission responsibility allocation method considering fairness, as shown in figure 1, the allocation method comprises the following steps:
step A, a power distribution network simulation platform is adopted to perform power flow calculation of a power system, the power flow distribution condition of the system is evaluated quantitatively, and the power flow distribution condition is obtained, wherein the power distribution network simulation platform is OpenDSS in the embodiment;
b, establishing a system carbon flow relation calculation model according to the load flow distribution condition, further establishing a system node carbon trace intensity calculation model based on the system carbon flow relation obtained by the calculation model, and calculating to obtain an original carbon emission responsibility apportionment result of each load node;
step C, obtaining the upper limit and the lower limit of the carbon emission responsibility apportionment fairness interval: introducing a 'fairness interval' concept suitable for an electric power system, respectively constructing carbon emission responsibility apportionment results of each load node based on a historical responsibility principle and an individual equal development principle, and determining the upper limit and the lower limit of the carbon emission responsibility apportionment fairness interval of the corresponding node according to the carbon emission responsibility apportionment results;
d, constructing a scheme fairness calculation model of each load node according to the upper limit and the lower limit of the carbon emission responsibility apportionment fairness interval of the corresponding node and the original carbon emission responsibility apportionment result of each load node, and obtaining the corresponding original satisfaction degree and the satisfaction degree standard deviation;
and E, performing satisfaction optimization adjustment on the original satisfaction and the standard deviation of the satisfaction based on the principle that the scheme fairness computation model and the original carbon emission responsibility apportionment result total amount are not changed.
In this embodiment, the step of obtaining the power flow distribution condition includes:
step A1: analyzing a given system topological structure network diagram;
step A2: collecting basic parameters required by the construction system for load flow calculation based on the network diagram of the system topological structure;
step A3: according to the collected basic parameters, carrying out modeling simulation calculation on the power system in an OpenDSS simulation platform, wherein the parameters comprise a voltage per unit value of a balance node, reference voltage, active power, reactive power, PV node voltage and power, transformer winding and line impedance and the like;
step A4: and determining the system load flow distribution condition based on the load flow result calculated by the OpenDSS simulation platform.
In this embodiment, the step of obtaining the original carbon emission responsibility apportionment result is as follows:
step B1: according to the load flow distribution condition, establishing a system carbon flow relation calculation model:
wherein the content of the first and second substances,
the total carbon flow vector flowing through the node;
countercurrent distribution matrix for system consideration of grid loss, C fG Column vectors are injected for the carbon flows of the power generation nodes, wherein the corresponding element of the non-power generation node is 0; p mn Active power flows into the head end of the branch mn for the node n; p n The flow power for node n; Γ _ (m) is an incoming line set of the node m;
and step B2: based on the system carbon flow relationship obtained by the calculation, a system node carbon trace intensity calculation model is further constructed, and the original carbon emission responsibility apportionment result of each load node is obtained by calculation:
x i ＝P Di F f(i) (1d)
wherein: f is a vector of the system carbon trace intensity; p n Is the sum of the node incoming or outgoing power; x is the number of i Apportioning the amount of raw carbon emission responsibilities, P, for load node i Di The active power consumption of the load node i is obtained; f f(i) And the carbon trace strength value is the carbon trace strength value of the node where the load node i is located.
In this embodiment, the steps of obtaining the upper limit and the lower limit of the carbon emission responsibility apportionment fairness interval are as follows:
step C1: analyzing from the historical responsibility perspective, and calculating the carbon emission responsibility apportionment quantity of the node i under the historical responsibility principle:
wherein: c ih The carbon emission responsibility apportionment quantity of the node i is based on the historical responsibility principle; c it The total carbon emission responsibility to be shared by each load node under the historical responsibility principle; HC ie Under the historical responsibility principle, the historical carbon emission of the load node i; n is the total number of load nodes participating in the sharing under the historical responsibility principle；
And step C2: from the perspective of the individual equal development, calculating the carbon emission responsibility apportionment of the node i under the individual equal principle:
wherein: c ip The carbon emission responsibility distributed to the load node i under the principle of the individual equal development; p i Calculating the demand prediction value of the load node i in the period under the principle of individual equal development, wherein the data in the following table of the embodiment takes five years as a period; c iw The total amount of the carbon emission responsibility to be allocated in the future is apportioned under the principle of the equal development of individuals; n is the total number of load nodes participating in the apportionment under the principle of individual equal development;
and C3: determining the upper limit and the lower limit of a carbon emission responsibility apportionment fairness interval of a load node i:
C iu ＝Max(C ih ,C ip ) (2c)
C id ＝Min(C ih ,C ip ) (2d)
wherein: c iu Allocating an upper limit for the carbon emission responsibility of the load node i; c id A lower limit is assigned to the carbon emission responsibilities of load node i.
Further, the functional expression of the scheme fairness computation model is as follows:
wherein: u. of i The satisfaction degree of the load node i is obtained; c i Allocating the carbon emission responsibility of the load node i; sigma is a satisfaction standard deviation; n is the number of load nodes. The apportionment methods described in this embodiment are all applicable to the satisfaction calculation formula.
Further, the satisfaction degree optimization and adjustment steps are as follows:
step E1: calculating the original satisfaction degree and the standard deviation of the original satisfaction degree of each load node based on the NCFI carbon emission responsibility apportionment method through a function of a scheme fairness calculation model, and sequencing the original satisfaction degrees of each load node from small to large;
step E2: selecting the member with the lowest original satisfaction degree, analyzing reasons, readjusting the satisfaction degree to 0.5, obtaining the once-adjusted apportionment of the member according to a function of a scheme fairness computation model, and then sequentially readjusting the satisfaction degrees of the rest load nodes to 0.5 according to the sequence from small to large, and obtaining the apportionment of the load nodes;
step E3: and calculating to obtain a corresponding carbon emission responsibility apportionment result of the member with the highest rank of the original satisfaction degree based on the principle that the total amount of the original carbon emission responsibility apportionment result is unchanged, and then re-adjusting the satisfaction degree of the member with the highest rank of the original satisfaction degree once again to obtain the satisfaction degree standard deviation of each load node once adjusted.
The invention can better link the load node historical responsibility principle and the individual equal development principle with the carbon emission responsibility after considering the Node Carbon Footprint Intensity (NCFI), and further adjust by using the fairness calculation model, thereby considering the fairness and avoiding the phenomenon of fairness deficiency of the apportionment scheme on the premise of not changing the total responsibility apportionment quantity.
The invention also provides an improved NCFI allocation device considering the fairness of the load side carbon emission responsibility allocation scheme, which comprises a power flow distribution acquisition module, an original allocation result acquisition module, an allocation fairness interval acquisition module, an original satisfaction acquisition module and a satisfaction optimization adjustment module.
The power flow distribution acquisition module is used for carrying out power flow calculation on the power system based on the power distribution network simulation platform, quantitatively evaluating the power flow distribution condition of the system and acquiring the power flow distribution condition;
the original apportionment result acquisition module is used for establishing a system carbon flow relation calculation model according to the load flow distribution condition, further establishing a system node carbon track strength calculation model based on the system carbon flow relation obtained by the calculation model, and calculating to obtain an original carbon emission responsibility apportionment result of each load node;
an apportionment fairness interval obtaining module: the system is used for respectively constructing carbon emission responsibility apportionment quantities of all load nodes based on a historical responsibility principle and an individual equal development principle, and determining the upper limit and the lower limit of a corresponding node carbon emission responsibility apportionment fairness interval according to the carbon emission responsibility apportionment result;
the original satisfaction degree obtaining module is used for constructing a scheme fairness calculation model of each load node according to the upper limit and the lower limit of the corresponding node carbon emission responsibility apportionment fairness interval and the original carbon emission responsibility apportionment result of each load node, and obtaining corresponding original satisfaction degree and a satisfaction degree standard deviation;
and the satisfaction optimization and adjustment module is used for performing satisfaction optimization and adjustment on the original satisfaction and the standard deviation of the satisfaction based on the principle that the scheme fairness calculation model and the original carbon emission responsibility apportionment result total amount are not changed.
In this embodiment, the satisfaction optimization and adjustment module includes an original satisfaction calculation module, a first satisfaction optimization and adjustment module, and a second satisfaction optimization and adjustment module.
The original satisfaction calculation module is used for calculating the original satisfaction and the original satisfaction standard deviation of each load node based on the NCFI carbon emission responsibility apportionment method through a function of the scheme fairness calculation model and sequencing the original satisfaction of each load node from small to large;
the first satisfaction optimization and adjustment module is used for selecting the member with the lowest original satisfaction, analyzing reasons, readjusting the satisfaction to 0.5, obtaining the once-adjusted apportionment of the member according to a function of a scheme fairness computation model, and then sequentially readjusting the satisfaction of the remaining load nodes to 0.5 according to the sequence from small to large, and obtaining the apportionment of the load nodes;
and the second satisfaction optimization and adjustment module is used for calculating the corresponding carbon emission responsibility apportionment result of the member with the highest rank of the original satisfaction based on the principle that the total amount of the original carbon emission responsibility apportionment result is not changed, re-adjusting the satisfaction of the member after one-time adjustment, and obtaining the satisfaction standard deviation of each load node after one-time adjustment.
The present invention also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the one fairness considered NCFI carbon emissions responsibility apportionment method.
The present invention also provides a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, perform the steps of the one method for apportioning carbon emissions responsibility for NCFI in view of fairness.
In this embodiment, the historical emission responsibility and individual development opportunity of the region should be refined to the responsibility and opportunity of the power system node, and in a certain period, the power demand of a certain load node is increased, that is, the power plant is required to provide more electric energy to the load node in the period, so that more carbon emission is generated in the power network, and the carbon trace intensity of the node is different. Therefore, the carbon trace strength of the node is analyzed only from the current total amount tracking perspective, and a certain fairness is lacked, so that the node history and future responsibility apportionment results need to be provided for reference.
C in the calculation of carbon responsibility apportionment quantity according to proportion in the embodiment by referring to relevant energy-saving emission-reduction policy documents ih And C ip Two parameters are quantized, and table 1, table 2 and fig. 2 respectively show the related parameter information of the present example, and the upper Limit of the allowable power flowing through the ED line ED 240MW, upper Limit of allowable current power flowing through AB line AB At 400MW, the upper active power limits of the unit numbers 1 to 5 are 40, 170, 520, 200 and 600MW, respectively, and the load demands of nodes B, C and D are 300, 300 and 400MW, respectively. In view of the problem that the carbon emission in most areas at present is difficult to monitor practically, the carbon emission coefficient is multiplied by the carbon emission coefficient in the embodimentThe historical power generation amount method is used for calculating and obtaining the historical carbon emission amount data of the load nodes. In addition, under the precondition that the load nodes are continuously developed, the predicted value of the power consumption demand of the load is determined.
TABLE 1 Unit information summarization
TABLE 2 load information summarization
According to the given information, an NCFI allocation method is applied, the energy-saving and emission-reducing targets of the power industry are 18% and 10% according to the content of related files, the carbon emission rates of all power generation nodes are respectively adjusted in proportion, the original carbon emission responsibility allocation result of the system load side is obtained through calculation, five years are taken as a period, and the specific conditions are shown in Table 3.
TABLE 3 summary of results of the NCFI method assignments
On the basis, fairness is considered, and an apportionment fairness interval and fairness judgment related index of the NCFI apportionment method considering the fairness are obtained through calculation.
TABLE 4 summary of NCFI apportionment results considering fairness
As shown in Table 4, from the calculation results of the recipe satisfaction, L 3 The node is least satisfied with the apportionment result; l is 1 Less satisfactory results of the allocation; l is 2 Is most satisfactoryThe fairness of the overall result is less fair, and L 2 And L 3 The satisfaction degree is larger, certain fairness is lacked, and the larger the value of the satisfaction degree is, the smaller the satisfaction degree is represented. The results of this split were analyzed in depth, although L is present under the current conditions 1 The load demand is equal to L 2 In agreement (300 MW), based on the original apportionment results, the node carbon trace strength is high (0.4511), the apportionment responsibility is increased, but the historical carbon emission is low (60 tCO 2), the load demand increase ratio is minimum (1.3333), the apportionment responsibility for less carbon emission is supposed to be achieved, so the satisfaction degree value is high, and the apportionment results are not satisfied. L is 2 The node (2) has the lowest carbon trace strength (0.3312) and the lowest load demand, so that the carbon emission responsibility apportionment amount is the smallest and the apportionment result is satisfied. L is 3 The historical carbon emission is the largest, the load demand (400 MW) and the demand increase ratio (1.6250) are the highest, and the allocated responsibility is the largest, but is equal to L 1 And L 2 In comparison, the responsibility apportionment amount is different obviously, so the satisfaction degree value of the apportionment scheme is the highest (0.6951), and the apportionment result is unsatisfactory. The member L with the largest satisfaction degree value is prioritized without changing the apportionment total amount 3 The amount of apportionment is suitably varied to increase its satisfaction with the apportioned results. To ensure relative fairness among all members, L may be reset 3 On the basis of the responsibility apportionment quantity, the member L with the highest satisfaction degree (the smallest numerical value) to the scheme is not changed 2 By appropriately changing L 1 The carbon emission responsibility of (a) apportions the amount. Finally, based on L 1 And L 3 As a result of adjusting the amount of contribution of L 2 The apportionment amount of (a) is adjusted to satisfy the precondition that the total apportionment amount is not changed.
Under the premise of keeping the original apportionment total quantity unchanged, other limitations are not added temporarily, and the original apportionment result is adjusted according to the principle only by taking the improvement of the scheme fairness as the target. Considering L 3 In case of (1), load L 3 The carbon emission responsibility apportionment quantity is adjusted once, and is properly reduced to a median value 253.56 in the fairness interval. In addition, to improve the relative fairness among all load members, the method will be usedL 1 The apportionment amount of the fairness is properly adjusted and is reduced to a median value 132.56 in a fairness interval; l is 2 The value of the added share is L 1 And L 3 The sum of the magnitudes of the responsibilities is reduced to 133.46. The results of the specific splitting after the first adjustment are shown in Table 5.
TABLE 5 summary of fairness considered NCFI method apportionment results after one adjustment
To verify the rationality and fairness of the adjustment results, table 6 shows the comparison between the prior art and the apportionment results based on the load capacity ratio method, where the standard deviation of satisfaction based on the current load capacity ratio is 0.5386, and the standard deviation of satisfaction based on the future load capacity ratio is 0.4754.
TABLE 6 comparative summary of four split results
Analyzing the apportionment result after one-time adjustment, the apportionment amount of all the loads is still in respective fairness interval, the difference between the satisfaction degrees of the schemes is obviously reduced, and L 1 、L 2 And L 3 The satisfaction degrees of the nodes are 0.50000.3524 and 0.5000 respectively, the average satisfaction degree is also reduced, the original 0.4829 is reduced to 0.4508, the standard deviation of the satisfaction degree is reduced from the original 0.3269 to 0.1205, and the value of the standard deviation of the satisfaction degree is superior to that of the two satisfaction degrees based on load capacity in the table 6. Although L is 2 Improves the distribution scheme satisfaction from 0.2365 to 0.3524, but compared to the two split results based on the load capacity ratio split method, L 1 And L 2 The responsibility apportionment amount is lower, and the overall fairness of all members to the apportionment result is further improved. L is 3 The apportionment amount exceeds the result of the apportionment amount based on the future load capacity proportion, but the result after one-time adjustment is 15.45 less than the original apportionment result responsibility, and the fairness of the whole apportionment scheme is changed from' unfairnessTo be "fair," the relative fairness of the apportioned results becomes higher, so that the adjustment is closer to a fairer direction, so the adjusted results are within an acceptable range.
Compared with the result of the NCFI allocation method, the allocation scheme is more reasonable, the fairness is improved, and therefore the NCFI allocation method considering the fairness is selected as the final result. The method reduces the responsibility apportionment amount of most load members on the basis of reasonable and feasible apportionment results, improves the overall fairness compared with two apportionment results based on a load capacity proportion apportionment method, provides effective data support for the establishment of an enterprise carbon reduction strategy, and has important significance for promoting carbon emission reduction cooperation and economic coordination development among various regions.
The invention described above only represents embodiments of the present invention, and therefore should not be construed as limiting the scope of the invention, nor should it be construed as limiting the structure of the embodiments of the present invention in any way. It should be noted that, for those skilled in the art, variations and modifications can be made without departing from the concept of the embodiments of the present invention, and these are within the scope of the embodiments of the present invention.
Claims (10)
1. An NCFI carbon emission responsibility apportionment method considering fairness, which is characterized by comprising the following steps:
carrying out power system load flow calculation by adopting a power distribution network simulation platform, quantitatively evaluating the load flow distribution condition of the system and obtaining the load flow distribution condition;
establishing a system carbon flow relation calculation model according to the load flow distribution condition, further establishing a system node carbon trace intensity calculation model based on the system carbon flow relation obtained by the calculation model, and calculating to obtain an original carbon emission responsibility apportionment result of each load node;
respectively constructing carbon emission responsibility apportionment results of each load node based on a historical responsibility principle and an individual equal development principle, and determining the upper limit and the lower limit of a carbon emission responsibility apportionment fairness interval of the corresponding node according to the carbon emission responsibility apportionment results;
constructing a scheme fairness calculation model of each load node according to the upper limit and the lower limit of the corresponding node carbon emission responsibility apportionment fairness interval and the original carbon emission responsibility apportionment result of each load node, and obtaining corresponding original satisfaction and a satisfaction standard deviation;
and performing satisfaction optimization adjustment on the original satisfaction and the standard deviation of the satisfaction based on the principle that the fairness calculation model of the scheme and the total amount of the original carbon emission responsibility apportionment result are not changed.
2. The method for sharing carbon emission responsibility of NCFI considering fairness according to claim 1, wherein the step of obtaining the power flow distribution situation comprises the following steps:
step A1: analyzing a given system topological structure network diagram;
step A2: collecting basic parameters required by the construction system for load flow calculation based on the system topological structure network diagram;
step A3: according to the collected basic parameters, carrying out modeling simulation calculation on the electric power system in a simulation platform;
step A4: and determining the power flow distribution condition of the system based on the power flow result calculated by the simulation platform.
3. The method for sharing carbon emission responsibility of NCFI considering fairness according to claim 1, wherein the step of obtaining the result of sharing carbon emission responsibility of the original carbon emission responsibility comprises:
step B1: according to the load flow distribution condition, establishing a system carbon flow relation calculation model:
wherein the content of the first and second substances,
the total carbon flow vector flowing through the node;
countercurrent distribution matrix for system consideration of grid loss, C fG Column vectors are injected for the carbon flows of the power generation nodes, wherein the corresponding element of the non-power generation node is 0; p is mn Active power flows into the head end of the branch mn for the node n; p n The flowing power of node n; Γ _ (m) is an incoming line set of the node m;
and step B2: based on the system carbon flow relationship obtained by the calculation, a system node carbon trace intensity calculation model is further constructed, and the original carbon emission responsibility apportionment result of each load node is obtained by calculation:
x i ＝P Di F f(i) (1d)
wherein: f is a vector of the system carbon trace intensity; p n Is the sum of the node incoming or outgoing power; x is the number of i Apportioning the amount of raw carbon emission responsibilities, P, for load node i Di The active power consumption of the load node i is obtained; f f(i) And the carbon trace strength value is the carbon trace strength value of the node where the load node i is located.
4. The method for sharing carbon emission responsibility of NCFI in consideration of fairness according to claim 1, wherein the step of obtaining the upper limit and the lower limit of the carbon emission responsibility sharing fairness interval is as follows:
step C1: analyzing from the historical responsibility perspective, and calculating the carbon emission responsibility apportionment quantity of the node i under the historical responsibility principle:
wherein: c ih The carbon emission responsibility apportionment quantity of the node i is based on the historical responsibility principle; c it The total carbon emission responsibility to be shared by each load node under the historical responsibility principle; HC ie Under the historical responsibility principle, the historical carbon emission of the load node i; n is the total number of load nodes participating in the sharing under the historical responsibility principle;
and step C2: from the perspective of the individual equal development, calculating the carbon emission responsibility apportionment of the node i under the individual equal principle:
wherein: c ip The carbon emission responsibility distributed to the load node i under the principle of the individual equal development; p i Calculating a demand predicted value of a load node i in a period under an individual equal development principle; c iw The total amount of the carbon emission responsibility to be allocated in the future is apportioned under the principle of the equal development of individuals; n is the total number of load nodes participating in the apportionment under the principle of individual equal development;
and C3: determining the upper limit and the lower limit of a carbon emission responsibility apportionment fairness interval of a load node i:
C iu ＝Max(C ih ,C ip ) (2c)
C id ＝Min(C ih ,C ip ) (2d)
wherein: c iu Allocating an upper limit to the carbon emission responsibility of the load node i; c id A lower limit is assigned to the carbon emission responsibilities of load node i.
5. The method for sharing the carbon emission responsibility of NCFI in consideration of fairness according to claim 4, wherein a functional expression of the scheme fairness computation model is as follows:
wherein: u. of i The satisfaction degree of the load node i is obtained; c i Allocating the carbon emission responsibility of the load node i; sigma is a satisfaction standard deviation; and N is the number of load nodes.
6. The method for sharing the carbon emission responsibility of NCFI considering fairness according to claim 5, wherein the satisfaction degree optimization adjustment comprises the following steps:
step E1: calculating the original satisfaction degree and the standard deviation of the original satisfaction degree of each load node based on the NCFI carbon emission responsibility apportionment method through a function of a scheme fairness calculation model, and sequencing the original satisfaction degrees of each load node from small to large;
step E2: selecting the member with the lowest original satisfaction degree, analyzing reasons, readjusting the satisfaction degree to 0.5, obtaining the once-adjusted apportionment of the member according to a function of a scheme fairness computation model, and then sequentially readjusting the satisfaction degrees of the rest load nodes to 0.5 according to the sequence from small to large, and obtaining the apportionment of the load nodes;
step E3: and calculating to obtain a corresponding carbon emission responsibility apportionment result of the member with the highest original satisfaction degree rank based on the principle that the total amount of the original carbon emission responsibility apportionment result is unchanged, and then re-adjusting the satisfaction degree of the member with the highest original satisfaction degree rank after one-time adjustment to obtain the satisfaction degree standard deviation of each load node after one-time adjustment.
7. An NCFI carbon emission liability apportionment apparatus considering fairness, comprising:
the power flow distribution acquisition module is used for carrying out power flow calculation on the power system based on the power distribution network simulation platform, quantitatively evaluating the power flow distribution condition of the system and acquiring the power flow distribution condition;
the original apportionment result acquisition module is used for establishing a system carbon flow relation calculation model according to the load flow distribution condition, further establishing a system node carbon track strength calculation model based on the system carbon flow relation obtained by the calculation model, and calculating to obtain an original carbon emission responsibility apportionment result of each load node;
an apportionment fairness interval obtaining module: the system is used for respectively constructing carbon emission responsibility apportionment quantities of all load nodes based on a historical responsibility principle and an individual equal development principle, and determining the upper limit and the lower limit of a corresponding node carbon emission responsibility apportionment fairness interval according to the carbon emission responsibility apportionment result;
the original satisfaction degree obtaining module is used for constructing a scheme fairness calculation model of each load node according to the upper limit and the lower limit of the corresponding node carbon emission responsibility apportionment fairness interval and the original carbon emission responsibility apportionment result of each load node, and obtaining corresponding original satisfaction degree and a satisfaction degree standard deviation;
and the satisfaction optimization and adjustment module is used for carrying out satisfaction optimization and adjustment on the original satisfaction and the standard deviation of the satisfaction based on the principle that the scheme fairness calculation model and the original carbon emission responsibility apportionment result total amount are not changed.
8. The apparatus for NCFI carbon emission liability splitting considering fairness according to claim 7, wherein the satisfaction optimizing adjusting module comprises:
the original satisfaction calculation module is used for calculating the original satisfaction and the original satisfaction standard deviation of each load node based on the NCFI carbon emission responsibility apportionment method through a function of the scheme fairness calculation model and sequencing the original satisfaction of each load node from small to large;
the first satisfaction optimization and adjustment module is used for selecting the member with the lowest original satisfaction, analyzing reasons, readjusting the satisfaction to 0.5, obtaining the once-adjusted apportionment of the member according to a function of a scheme fairness computation model, and then sequentially readjusting the satisfaction of the remaining load nodes to 0.5 according to the sequence from small to large, and obtaining the apportionment of the load nodes;
and the second satisfaction optimization and adjustment module is used for calculating the corresponding carbon emission responsibility apportionment result of the member with the highest rank of the original satisfaction based on the principle that the total amount of the original carbon emission responsibility apportionment result is not changed, re-adjusting the satisfaction of the member after one-time adjustment, and obtaining the satisfaction standard deviation of each load node after one-time adjustment.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of NCFI carbon emission liability apportionment considering fairness, as claimed in any one of claims 1-6.
10. A computer readable storage medium having stored thereon computer instructions, which when executed by a processor, perform the steps of the method of NCFI carbon emission liability allocation taking fairness into account as claimed in any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211468701.9A CN115759775A (en) | 2022-11-22 | 2022-11-22 | NCFI carbon emission responsibility allocation method and device considering fairness |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211468701.9A CN115759775A (en) | 2022-11-22 | 2022-11-22 | NCFI carbon emission responsibility allocation method and device considering fairness |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115759775A true CN115759775A (en) | 2023-03-07 |
Family
ID=85335155
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211468701.9A Pending CN115759775A (en) | 2022-11-22 | 2022-11-22 | NCFI carbon emission responsibility allocation method and device considering fairness |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115759775A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116823296A (en) * | 2023-08-31 | 2023-09-29 | 国网山东省电力公司营销服务中心(计量中心) | Method, system, equipment and medium for determining carbon emission of electricity utilization side |
-
2022
- 2022-11-22 CN CN202211468701.9A patent/CN115759775A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116823296A (en) * | 2023-08-31 | 2023-09-29 | 国网山东省电力公司营销服务中心(计量中心) | Method, system, equipment and medium for determining carbon emission of electricity utilization side |
| CN116823296B (en) * | 2023-08-31 | 2024-02-02 | 国网山东省电力公司营销服务中心(计量中心) | Method, system, equipment and medium for determining carbon emission of electricity utilization side |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110994694A (en) | Microgrid source load-storage coordination optimization scheduling method considering differentiated demand response | |
| CN109919450B (en) | Game optimization method for solving scheduling of comprehensive intelligent energy system | |
| CN102915472A (en) | Comprehensive power distribution network optimization planning method based on gene modified chaos genetic algorithm | |
| CN109818369B (en) | Distributed power supply planning method considering output fuzzy randomness | |
| CN112149914A (en) | Method for optimizing and configuring power market resources under multi-constraint condition | |
| CN115759775A (en) | NCFI carbon emission responsibility allocation method and device considering fairness | |
| CN110163420B (en) | Multi-target ecological scheduling method and system based on decomposition culture evolution algorithm | |
| CN115526550A (en) | Spot market organization method suitable for new energy power and conventional thermal power to compete on same station | |
| CN111260152A (en) | Optimized type selection method for distribution transformer | |
| CN114462854A (en) | Hierarchical scheduling method and system containing new energy and electric vehicle grid connection | |
| CN114301089A (en) | Energy storage capacity configuration optimization method for wind-solar combined power generation system | |
| CN111242450B (en) | Method, system, device and medium for clearing hydroelectric generating set in real-time market | |
| CN113128844A (en) | Distributed power supply planning method based on power supply equipment capacity limitation | |
| CN111210079B (en) | Operation optimization method and system for distributed energy virtual power plant | |
| CN107679651A (en) | A kind of moon electricity demand forecasting method based on grey forecasting model Yu BP artificial nerve network models | |
| CN112036686A (en) | Low-voltage distribution station area line loss evaluation method based on theoretical line loss interval calculation | |
| CN116111580A (en) | Power optimization scheduling method, device, equipment and storage medium | |
| CN115758763A (en) | Multi-energy flow system optimal configuration method and system considering source load uncertainty | |
| CN114676895A (en) | Risk scheduling method considering power generation right transaction of large hydropower station and small hydropower station | |
| CN111193258A (en) | Method and system for optimizing power generation amount of micro-grid | |
| CN111754076A (en) | Method and equipment suitable for electric power wholesale market mode evaluation | |
| CN117713176B (en) | Source network charge storage low-carbon operation method and device, electronic equipment and storage medium | |
| CN112651637B (en) | Distributed power supply excitation mechanism analysis method for virtual power plant | |
| CN111934363B (en) | Multi-source coordination peak regulation method for constraint of space distribution and regulation capacity of various types of power supplies | |
| CN113191625A (en) | Virtual power plant construction method considering comprehensive efficiency evaluation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |