CN116882848B - Enterprise electric carbon performance comprehensive evaluation method and equipment - Google Patents
Enterprise electric carbon performance comprehensive evaluation method and equipment Download PDFInfo
- Publication number
- CN116882848B CN116882848B CN202311146987.3A CN202311146987A CN116882848B CN 116882848 B CN116882848 B CN 116882848B CN 202311146987 A CN202311146987 A CN 202311146987A CN 116882848 B CN116882848 B CN 116882848B
- Authority
- CN
- China
- Prior art keywords
- carbon emission
- enterprise
- generator
- load
- carbon
- 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.)
- Active
Links
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 233
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 232
- 238000011156 evaluation Methods 0.000 title claims abstract description 144
- 230000005611 electricity Effects 0.000 claims abstract description 95
- 230000009467 reduction Effects 0.000 claims abstract description 44
- 230000004044 response Effects 0.000 claims abstract description 33
- 238000000034 method Methods 0.000 claims description 100
- 230000008569 process Effects 0.000 claims description 37
- 239000013598 vector Substances 0.000 claims description 37
- 239000011159 matrix material Substances 0.000 claims description 34
- 238000006467 substitution reaction Methods 0.000 claims description 22
- 239000000243 solution Substances 0.000 claims description 18
- 238000002347 injection Methods 0.000 claims description 15
- 239000007924 injection Substances 0.000 claims description 15
- 239000003245 coal Substances 0.000 claims description 11
- 238000004519 manufacturing process Methods 0.000 claims description 10
- 238000005265 energy consumption Methods 0.000 claims description 9
- 239000000446 fuel Substances 0.000 claims description 9
- 238000012546 transfer Methods 0.000 claims description 9
- 230000021615 conjugation Effects 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 4
- 238000010248 power generation Methods 0.000 description 12
- 230000006399 behavior Effects 0.000 description 10
- 238000003860 storage Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 238000013210 evaluation model Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000006386 neutralization reaction Methods 0.000 description 3
- 230000002269 spontaneous effect Effects 0.000 description 3
- 238000003723 Smelting Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000003490 calendering Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- CWYNVVGOOAEACU-UHFFFAOYSA-N Fe2+ Chemical compound [Fe+2] CWYNVVGOOAEACU-UHFFFAOYSA-N 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000009960 carding Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- 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 relates to a comprehensive evaluation method for the performance of electric power carbon of enterprises, which comprises the following steps: pre-constructing an enterprise electric power carbon performance evaluation index system, wherein the enterprise electric power carbon performance evaluation index system comprises a plurality of evaluation indexes in a plurality of dimensions and at least comprises at least one of the following evaluation indexes: the unit increment value is the electric carbon emission, the total carbon emission reduction amount consumed by green electricity, the total carbon emission reduction amount required by response, and the total carbon emission reduction amount replaced by electric energy; calculating the electricity carbon emission intensity of a target enterprise; and determining an index value of each evaluation index corresponding to the target enterprise based on the electricity consumption carbon emission intensity of the target enterprise, and determining a carbon performance evaluation result of the target enterprise based on the index value of each evaluation index.
Description
Technical Field
The invention relates to a comprehensive evaluation method and equipment for electric power carbon performance of enterprises, and belongs to the field of carbon performance evaluation.
Background
Enterprises are key forces for achieving the goal of carbon-to-peak carbon neutralization and are also important subjects for assuming responsibility for carbon emissions. At present, a large number of carbon emission reduction index systems exist in various areas and industries, but the carbon emission reduction index systems are focused on the power consumption side, and specific quantitative evaluation indexes for the power carbon performance of enterprises are provided. Quick evaluation and verification are required to be carried out on the performance grade of the electric power carbon of the enterprise, so that the enterprise is guided to actively select low-carbon electricity utilization behaviors in order.
Patent CN116307891a, "an enterprise carbon emission evaluation method, device, equipment and storage medium" discloses: substituting input attribute indexes and output attribute indexes of the enterprise in each production link into a pre-constructed energy utilization relative efficiency model and solving to obtain energy utilization relative efficiency indexes corresponding to the enterprise in each production link; determining an enterprise overall carbon emission efficiency index according to the production resource input-output information of the enterprise; constructing a comprehensive carbon performance evaluation index system according to the energy utilization relative efficiency index corresponding to each production link of the enterprise and the overall carbon emission efficiency index of the enterprise; and based on the comprehensive carbon performance evaluation index system, carrying out overall carbon performance evaluation on the enterprise by adopting an entropy weight method to obtain an overall carbon performance evaluation result.
Patent CN113886752a "method, device, terminal and storage medium for calculating carbon emission intensity" discloses: basic attribute data of the power system are obtained, and active power generation capacity of the generator set is obtained based on the data; acquiring an initial value of a carbon emission factor of a power generation fuel of the power generation unit according to the life cycle type of the power generation unit, wherein the initial value of the carbon emission factor of the power generation fuel is used for indicating the carbon emission quantity generated by unit power generation; and calculating the carbon emission intensity of the generator set according to the active power generation amount of the generator set and the initial value of the carbon emission factor of the power generation fuel.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention designs the comprehensive evaluation method and equipment for the electric power carbon performance of the enterprise, constructs a corresponding evaluation index system, fills the blank of the evaluation method for the electric power carbon performance of the enterprise under the carbon neutralization background, establishes an electric power carbon performance evaluation model of the enterprise based on the actual carbon emission reduction benefits, reflects the difference of electric power consumption behavior modes of the power utilization enterprise and the influence of the electric power consumption behavior modes on the environment, is beneficial to the enterprise to adjust the electric power consumption behavior strategy of self energy conservation and carbon reduction, and can effectively promote the power generation of new energy sources to be consumed, strengthen self carbon reduction and improve the electric power carbon performance.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the technical scheme is as follows:
an enterprise electric power carbon performance comprehensive evaluation method comprises the following steps:
pre-constructing an enterprise electric power carbon performance evaluation index system, wherein the enterprise electric power carbon performance evaluation index system comprises a plurality of evaluation indexes in a plurality of dimensions and at least comprises at least one of the following evaluation indexes: the unit increment value is the electric carbon emission, the total carbon emission reduction amount consumed by green electricity, the total carbon emission reduction amount required by response, and the total carbon emission reduction amount replaced by electric energy;
calculating the electricity consumption carbon emission intensity of a target enterprise: calculating a power contribution matrix of the generator to the loadMatrix element->According to the contribution matrix of the generator current to the load current +.>Determining the ratio of the load voltage to the generator voltage; according to the power contribution matrix->Carbon emission vector for generatorE G Calculating the electricity consumption carbon emission vector of the load; calculating the electricity carbon emission intensity of the target enterprise according to the electricity carbon emission vector of the load and the active power of the target enterprise;
determining index values of the target enterprises corresponding to the evaluation indexes based on the electricity carbon emission intensity of the target enterprises;
and determining the carbon performance evaluation result of the target enterprise based on the index values of the evaluation indexes.
Further, the enterprise electric power carbon performance evaluation index system comprises evaluation indexes under a plurality of dimensions, specifically:
the first dimension evaluation index includes: the unit increment value electricity carbon emission amount, emission information disclosure, environmental protection concept and low carbon management;
the second dimension evaluation index includes: green electricity consumption ratio, green electricity consumption coverage rate, green electricity consumption investment and green electricity consumption carbon emission reduction total amount;
the third dimension evaluation index includes: demand response power duty ratio, demand response load rate boost ratio, demand response peak shaving cost and demand response carbon emission reduction total;
the fourth-dimensional evaluation index includes: the electric energy substitution capacity ratio, the number of hours of the electric energy substitution equipment for equivalent annual utilization, the energy consumption cost of electric energy substitution and the total carbon emission reduction of electric energy substitution are saved.
Further, the power contribution matrix of the generator to the load is calculated
Constructing a first equation representing the relation between node voltage and injection current, and expressing the first equation as:
in the method, in the process of the invention,I G injection current vector for the generator node;I L injection current vector for load node;V G a node voltage vector that is a generator node;V L a node voltage vector that is a load node;Y GG input admittance for the generator node;Y GL the transfer admittance from the generator node to the load node;Y LG the transfer admittance from the load node to the generator node;Y LL input admittance for the load node;
based on a first equation, a contribution matrix of generator current to load current is constructedExpressed as:
contribution matrix based on generator current to load currentThe ratio of the load voltage to the generator voltage, a power contribution matrix is constructed>Expressed as:
in the method, in the process of the invention,for load->Is set to be equal to the node voltage of (a),V g for the node voltage of generator g, +.>(/>,g) Load for generator g>Contribution in matrix->Corresponding elements of (a) represent conjugation.
Further, taking the ratio of annual electricity consumption carbon emission to annual production increment value as an index value of the unit increment value electricity carbon emission; wherein the annual electricity consumption carbon emission is expressed asThe method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the invention,E it representing the power consumption of enterprise i at time t; />Representing an electric power consumption carbon emission accounting period; />And representing the electricity consumption carbon emission intensity of the enterprise i at the time t.
Further, calculating an index value of the total emission reduction amount of the green electricity consumption carbon, and expressing the index value as a formulaThe method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the invention,P it representing enterprise i at timetThe green electricity consumption is reduced; />Representing a green power consumption carbon emission reduction accounting period;and representing the electricity consumption carbon emission intensity of the enterprise i at the time t.
Further, the index value of the total amount of carbon emission reduction replaced by the electric energy is expressed as the following formula:
in the method, in the process of the invention,representing enterprise i at timetReplacing the electric quantity by the lower electric energy; />Representing the accounting period of the carbon emission amount replaced by the electric energy; />The annual energy is represented to replace the coal burning quantity;C coal represents the carbon emission factor of the coal; />Representing annual energy replacing fuel quantity;C oil representing the fuel carbon emission factor.
Further, the determining the carbon performance evaluation result of the target enterprise based on the index values of the evaluation indexes includes:
carrying out dimensionless treatment on the index values of the evaluation indexes to obtain standardized values of the evaluation indexes;
calculating the grading value of each dimension according to the weight coefficient and the standardized value of each evaluation index under different dimensions;
calculating a carbon performance evaluation result of the target enterprise according to the grading value and the weight coefficient of each dimension;
further, calculating the weight coefficient of each evaluation index under different dimensions comprises the following steps:
the weight coefficient of the first k-1 evaluation indexes under a certain dimension is expressed as follows by a formula:
the weight coefficient of the kth evaluation index in a certain dimension is expressed as:
in the method, in the process of the invention,w j represent the firstjWeight coefficients of the individual evaluation indexes;r j+1 represent the firstj+1 evaluation index relative to the firstjThe degree of importance of the index is evaluated,，e j represent the firstjEntropy values of the respective evaluation indexes.
Further, calculating the scoring value of each dimension includes:
determining a positive ideal solution and a negative ideal solution of each dimension, and expressing the positive ideal solution and the negative ideal solution as formula:
in the method, in the process of the invention,V + 、V - representing a positive ideal solution and a negative ideal solution of a certain dimension;and->Respectively under a certain dimensionjThe optimal value and the worst value of each evaluation index;
calculating the grading value of each dimension of the target enterprise, and expressing the grading value as:
in the method, in the process of the invention,M il dimension in enterprise iIs a scoring value of (2);v ij dimension +.>The weighted normalized value of the j-th evaluation index.
Technical proposal II
An enterprise electric power carbon performance comprehensive evaluation device comprises a processor and a memory for storing instructions executable by the processor; the processor is configured to read the executable instruction from the memory and execute the instruction to implement the first step of the technical scheme.
Compared with the prior art, the invention has the following characteristics and beneficial effects:
taking main energy-saving and carbon-reducing behaviors of enterprises in the aspect of power consumption into consideration, including formulating a power green operation management target; actively participating in green electricity transaction and green certificate transaction, increasing the power generation construction strength of new self-use energy, and purchasing and using green electric power; the method is involved in power demand response, peak clipping and valley filling are realized, and green power consumption is promoted; the electric energy substitution is promoted, and the specific gravity, electrification level and the like of the terminal energy consumption electricity coal are improved. The method constructs a corresponding evaluation index system, fills the blank of the enterprise electric power carbon performance rating method under the carbon neutralization background, establishes an enterprise electric power carbon performance evaluation model based on actual carbon emission reduction benefits, reflects the difference of electric power consumption behavior modes of power enterprises and the influence of the electric power consumption behavior modes on the environment, is beneficial to the enterprises to adjust the electric power consumption behavior strategies of self energy conservation and carbon reduction, and can effectively promote new energy power generation and absorption, strengthen self carbon reduction and improve the electric power carbon performance.
In addition, the invention tracks and traces the user side trend and carbon emission through basic circuit theory deduction, and calculates the power consumption carbon emission intensity of enterprises. Compared with the currently adopted regional fixed carbon emission factor accounting method, the enterprise electricity carbon emission intensity calculation method adopted by the application can reflect the space-time distribution characteristic of electricity carbon emission, can analyze the electricity carbon emission intensity differences corresponding to different electricity consumption behaviors at the user side, and therefore accurately measures the carbon emission reduction at the user side, and is the basis for fairly evaluating the electric carbon performance of the enterprise.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a schematic diagram of an enterprise electrical carbon performance evaluation index system.
Detailed Description
The present invention will be described in more detail with reference to examples.
Example 1
As shown in fig. 1, the comprehensive evaluation method for the performance of the electric power carbon of the enterprise comprises the following steps:
s1, carding and evaluating quantifiable indexes of the electric power carbon performance of enterprises, taking actual carbon emission reduction benefits as cores, and constructing an electric power carbon performance evaluation index system of the enterprises from four dimensions of green operation, green electricity consumption, demand response and electric energy substitution. The first dimension evaluation index at least comprises the electric carbon emission of the unit increment value; the second dimension evaluation index at least comprises the total emission reduction amount of the green electricity consumption carbon; the third dimension evaluation index at least comprises the total amount of carbon emission reduction of the demand response; the fourth dimension evaluation index at least comprises the total amount of carbon emission reduction replaced by electric energy.
S2, tracking and tracing the user side tide and carbon emission through basic circuit theory deduction according to the power generation carbon emission data, the topological structure and tide data of the power system provided by the power plant, and calculating the power consumption carbon emission intensity of enterprises.
And S3, acquiring the electricity and carbon emission intensity of each enterprise, the power consumption data of each enterprise, the energy consumption data and the green operation management information of the enterprise, extracting the corresponding data of each evaluation index, and performing dimensionless processing to obtain the standardized value of each evaluation index.
S4, determining the weight coefficient of each evaluation index in an objective mode by adopting an index weighting method of an entropy weight method to obtain a weighted standardization value of each evaluation index;
and S5, constructing an enterprise electric carbon performance evaluation model by adopting a weighted TOPSIS evaluation method, and comprehensively analyzing and processing weighted standardized values of each dimension evaluation index to obtain electric carbon performance rating results of different industries of each enterprise.
Example two
Further, the power consumption carbon emission intensity of the enterprise is calculated as follows:
s21, establishing an electric power network equivalent admittance matrix according to the generated carbon emission data, the topological structure and the tide data of the electric power system provided by the power plant, and determining any timetThe relation equation of the lower node voltage and the injection current is as follows:
in the method, in the process of the invention,I G injection current vector for the generator node;I L injection current vector for load node;V G a node voltage vector that is a generator node;V L a node voltage vector that is a load node;Y GG input admittance for the generator node;Y GL the transfer admittance from the generator node to the load node;Y LG the transfer admittance from the load node to the generator node;Y LL is the input admittance of the load node.
S22, determining a relation equation between load current and generator current through basic algebraic operation on a network equivalent admittance matrix according to the relation equation of node voltage and injection current, wherein the specific expression is as follows:
in the method, in the process of the invention,the specific expression of the contribution matrix of the generator current to the load current is as follows:
in the method, in the process of the invention,the method meets the following conditions: />。
S23, determining a power (carbon emission) contribution matrix of the generator to the load according to a relation equation between the load current and the generator current by applying a circuit theory method. Matrix element->(/>,g) Indicating generator g vs. load->The specific expression is as follows:
in the method, in the process of the invention,for load->Is set to be equal to the node voltage of (a),V g for the node voltage of generator g, +.>(/>,g) Load for generator g>Contribution in matrix->Corresponding elements of (a) represent conjugation.
S24, establishing a complex power relation equation of the load and the generator according to a power contribution matrix of the generator to the load:
in the method, in the process of the invention,S G to inject the complex power vector of the generator node,S L to inject the complex power vector of the load node,a matrix of power contributions to the load for the generator.
S25, determining a carbon emission relation equation of the load and the generator according to a complex power relation equation of the load and the generator because the power flow and the carbon emission in the power grid are in a dependent relation:
；
in the method, in the process of the invention,E L as the electricity consumption carbon emission vector of the load,E G is the generated carbon emission vector of the generator,C G is a diagonal matrix of generator carbon emission intensity, is obtained from the generated carbon emission data,re() Representing the real part.
S26, enterprise i is in timetThe lower electricity carbon emission is expressed asIs the time oftElectricity consumption carbon emission direction of lower loadMeasuring amountE L I-th element of (a) in the list. Then enterprise i is at timetThe lower electric carbon emission intensity is expressed as +.>：
In the method, in the process of the invention,at time for enterprise itAnd lower active power, obtained from power system flow data.
The progress of this embodiment is that: and tracking and tracing the trend and carbon emission of the user side through basic circuit theory deduction, and calculating the electricity and carbon emission intensity of enterprises. Compared with the currently adopted regional fixed carbon emission factor accounting method, the enterprise electricity carbon emission intensity calculation method adopted by the application can reflect the space-time distribution characteristic of electricity carbon emission, can analyze the electricity carbon emission intensity differences corresponding to different electricity consumption behaviors at the user side, and therefore accurately measures the carbon emission reduction at the user side, and is the basis for fairly evaluating the electric carbon performance of the enterprise.
Example III
The first dimension evaluation index reflects an overall green management and administration level of the enterprise, comprising: unit increment value electricity carbon emission, emission information disclosure, environmental protection concept and low carbon management.
Unit increment value electricity carbon emission = annual electricity consumption carbon emission/annual production increment value; in the formula, annual electricity consumption carbon emission amount =，E it Representing enterprise i at timetThe power consumption is reduced; />Representing an electric power consumption carbon emission accounting period; />Representing enterprise i at timetLower power consumption carbon emission intensity.
Emission information disclosure =
Environmental protection concept =
Low carbon management =
Example IV
The second dimension evaluation index reflects green electricity consumption conditions of green card transactions, green electricity transactions and spontaneous self-use green electricity of enterprises, and comprises the following steps: green electricity consumption ratio, green electricity consumption coverage rate, green electricity consumption investment and green electricity consumption carbon emission reduction total amount.
Green electricity consumption ratio= (annual green license transaction electric quantity+annual green electricity transaction electric quantity+annual spontaneous green electricity consumption)/annual total electricity consumption.
Green electricity consumption coverage = annual green electricity consumption month number/12.
Green electricity consumption investment = participation in green evidence trade expenditure + participation in green electricity trade payout + spontaneous self-use green electricity production cost.
Total emission reduction of green electricity consumption carbon =The method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the invention,P it representing enterprise i at timetGreen electricity consumption is reduced; />And the green power consumption carbon emission reduction accounting period is represented.
Example five
The third dimension evaluation index reflects an overall situation of the enterprise participating in the power demand response, including: demand response power duty cycle, demand response load factor boost ratio, demand response peak shaving cost, and demand response total carbon emissions reduction.
Demand response power ratio = annual demand response power/total power consumption.
Demand response load rate increase ratio= (demand response load rate-demand response load rate)/demand response load rate; where load factor = annual average power load/annual maximum power load.
Demand response peak shaver cost = demand response post-electricity consumption cost-demand response pre-electricity consumption cost.
Total amount of demand-response carbon emission=amount of pre-demand-response electricity consumption carbon emission—amount of demand-response electricity consumption carbon emission.
Example six
The fourth dimension evaluation index reflects the response conditions of enterprises to replace coal with electricity and oil with electricity, and comprises the following steps: the electric energy substitution capacity ratio, the number of hours of the electric energy substitution equipment for equivalent annual utilization, the energy consumption cost of electric energy substitution and the total carbon emission reduction of electric energy substitution are saved.
Power substitution capacity ratio = annual power substitution load amount/annual total energy consumption load; among these, the annual total energy consumption load includes electrical, gas, cold, heat and steam loads.
The annual utilization hours of the electric energy substitution device=annual electric energy substitution load capacity/electric energy substitution device grid-connected capacity.
Energy saving cost for electric energy substitution = energy consumption cost before electric energy substitution-energy consumption cost after electric energy substitution.
Carbon emission reduction by replacing electric energy The method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Representing enterprise i at timetReplacing the electric quantity by the lower electric energy; />Representing the accounting period of the carbon emission amount replaced by the electric energy; />The annual energy is represented to replace the coal burning quantity;C coal represents the carbon emission factor of the coal; />Representing annual energy replacing fuel quantity;C oil representing the fuel carbon emission factor.
Example seven
Dimensionless processing is carried out on the data corresponding to each evaluation index, and a standardized value is obtained through the following expressionz ij ：
In the method, in the process of the invention,x ij the j-th evaluation index value of the enterprise i;z ij a normalized value obtained by dimensionless treatment for the evaluation index value; m represents the total number of enterprises and is selected according to the number of actual evaluation objects; n represents the number of evaluation indexes, n=16 in this embodiment.
Example eight
The method for weighting the indexes by adopting the entropy weight method is adopted to determine the weight coefficient of each evaluation index, and specifically comprises the following steps:
s41, carrying out dimensionless treatment according to each evaluation index to obtain a standardized valuez ij Determining entropy of each evaluation index, the firstjEntropy of each evaluation index is recorded ase j The specific expression is as follows:
in the method, in the process of the invention,t ij representing enterprise i with respect to the firstjSpecific gravity of each evaluation index; m represents the total number of businesses.
S42, determining the weight coefficient of each dimension evaluation index according to the entropy value of each evaluation index, and the firstjThe weight coefficient of each evaluation index is recorded as。
Comparing adjacent ones of the first and second pairsj-1 and the thjThe importance of each evaluation index is recorded asr j The specific expression is as follows:
setting an evaluation index in a certain dimensionjNumbered 1 throughkThen (1)kThe weights of the individual evaluation indexes are expressed as:
for the followingj=1 ,2 , ...,kEvaluation index of-1 according to the firstkThe weight of each evaluation index is recursively obtained and expressed as:
example nine
And S5, constructing an enterprise electric carbon performance evaluation model by adopting a weighted TOPSIS method, and comprehensively analyzing and processing weighted standardized values of each dimension evaluation index to obtain electric carbon performance rating results of each enterprise in different industries.
S51, carrying out dimensionless treatment according to each evaluation index to obtain a standardized valuez ij And weight coefficientw j Constructing a weighted normalization matrixV：
In the method, in the process of the invention,the weighted normalized value of the evaluation index is expressed as:
s52, respectively determining positive ideal solutions of all dimensionsV + And negative ideal solutionV - ：
In the method, in the process of the invention,and->Respectively under a certain dimensionjThe optimal value and the worst value of each evaluation index.
S53, calculating dimension of enterprise iRepresenting relative closeness to an ideal solution:
in the formula, 0≤ M il ≤1 according toM il The magnitude of the values is ordered, with larger values indicating closer to the optimal level.
S54, calculating an electric power carbon performance evaluation result of the enterprise i according to the evaluation values of each dimension of the enterprise i, wherein the specific expression is as follows:
in the method, in the process of the invention,for dimension->Weights of (3) specific valuesIs determined by a decision maker according to the importance degree of each dimension.M i The larger the value, the higher the power carbon performance level for enterprise i.
And S55, outputting an enterprise i electric power carbon performance evaluation result according to the TOPSIS model, and developing enterprise electric power carbon performance ratings in different industries. And (3) organizing classification evaluation once every year, wherein evaluation data are more than one year, and managing the period for 1 year.
And carrying out classified evaluation according to industries, wherein each industry serves as an independent evaluation unit. The following 7 classes of industries are classified: nonferrous metal smelting and calendaring industries; ferrous metal smelting and calendaring industries; chemical raw materials and chemical manufacturing; equipment manufacturing industry; information transmission, software and information technology services; scientific research and technical service industry; other industries.
All participating and grading users in the industry are ranked according to scores from high to low, and are graded according to proportions and divided into A, B, C, D, E types: class a refers to businesses with outstanding levels of electrical carbon performance in the 20% (inclusive) range before the business electrical carbon performance evaluation score ranks; (II) class B, namely enterprises with relatively good electric carbon performance levels in the range of 20% -40% (inclusive) before the ranking of the electric carbon performance evaluation scores of the enterprises; (III) class C, namely, the electric carbon performance level in the range of 40% -60% (containing) before the ranking of the electric carbon performance evaluation scores of enterprises is compared with that of general enterprises; (IV) class D, namely enterprises with relatively low electric carbon performance levels in the range of 60% -80% (inclusive) before the ranking of the electric carbon performance evaluation scores of the enterprises; and (fifth) class E, which refers to enterprises with relatively poor electric carbon performance levels in the range of 20% of the inverse rank of the enterprise electric carbon performance evaluation score.
It should be noted that, the above-mentioned enterprise electric power carbon performance comprehensive evaluation device is further configured to implement the method steps corresponding to each embodiment in the enterprise electric power carbon performance comprehensive evaluation method shown in fig. 1, which is not described herein repeatedly.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware. When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. The comprehensive evaluation method for the electric power carbon performance of the enterprise is characterized by comprising the following steps of:
pre-constructing an enterprise electric power carbon performance evaluation index system, wherein the enterprise electric power carbon performance evaluation index system comprises a plurality of evaluation indexes in a plurality of dimensions and at least comprises at least one of the following evaluation indexes: the unit increment value is the electric carbon emission, the total carbon emission reduction amount consumed by green electricity, the total carbon emission reduction amount required by response, and the total carbon emission reduction amount replaced by electric energy;
calculating the electricity consumption carbon emission intensity of a target enterprise: calculating a power contribution matrix of the generator to the loadMatrix elementsAccording to the contribution matrix of the generator current to the load current +.>The ratio of the load voltage to the generator voltage is determined, and the method specifically comprises the following steps:
constructing a first equation representing the relation between node voltage and injection current, and expressing the first equation as:
in the method, in the process of the invention,I G injection current vector for the generator node;I L injection current vector for load node;V G a node voltage vector that is a generator node;V L a node voltage vector that is a load node;Y GG input admittance for the generator node;Y GL the transfer admittance from the generator node to the load node;Y LG the transfer admittance from the load node to the generator node;Y LL input admittance for the load node;
based on the first equation, construct a generator motorContribution matrix of current to load currentExpressed as:
contribution matrix based on generator current to load currentThe ratio of the load voltage to the generator voltage, a power contribution matrix is constructed>Expressed as:
in the method, in the process of the invention,for load->Is set to be equal to the node voltage of (a),V g for the node voltage of generator g, +.>(/>,g) Load for generator g>Contribution in matrix->Corresponding element of (a) represents conjugation;
according to the power contribution matrixCarbon emission vector for generatorE G The electricity consumption carbon emission vector of the load is calculated, and the electricity consumption carbon emission vector specifically comprises:
according to the power contribution matrixAnd (3) establishing a complex power relation equation of the load and the generator:
in the method, in the process of the invention,S G to inject the complex power vector of the generator node,S L complex power vectors for injection into the load nodes;
according to a complex power relation equation of the load and the generator, determining a carbon emission relation equation of the load and the generator:
；
in the method, in the process of the invention,E L as the electricity consumption carbon emission vector of the load,E G is the generated carbon emission vector of the generator,C G is a diagonal matrix of generator carbon emission intensity,re () Representing the real part;
according to the electricity carbon emission of the enterprise and the active power of the target enterprise, calculating the electricity carbon emission intensity of the target enterprise, wherein the electricity carbon emission intensity is expressed as follows:
in the method, in the process of the invention,at time for enterprise itLower active power; />Electricity and carbon emission are used for enterprise i at time t;
determining index values of the target enterprises corresponding to the evaluation indexes based on the electricity carbon emission intensity of the target enterprises;
and determining the carbon performance evaluation result of the target enterprise based on the index values of the evaluation indexes.
2. The comprehensive evaluation method for the performance of the electrical carbon of the enterprise according to claim 1, wherein the performance evaluation index system of the electrical carbon of the enterprise comprises evaluation indexes in multiple dimensions, specifically:
the first dimension evaluation index includes: the unit increment value electricity carbon emission amount, emission information disclosure, environmental protection concept and low carbon management;
the second dimension evaluation index includes: green electricity consumption ratio, green electricity consumption coverage rate, green electricity consumption investment and green electricity consumption carbon emission reduction total amount;
the third dimension evaluation index includes: demand response power duty ratio, demand response load rate boost ratio, demand response peak shaving cost and demand response carbon emission reduction total;
the fourth-dimensional evaluation index includes: the electric energy substitution capacity ratio, the number of hours of the electric energy substitution equipment for equivalent annual utilization, the energy consumption cost of electric energy substitution and the total carbon emission reduction of electric energy substitution are saved.
3. The comprehensive evaluation method for the electric power carbon performance of enterprises according to claim 1, wherein the ratio of the annual electric power consumption carbon emission to the annual production increment value is taken as an index value of the electric power carbon emission per unit increment value; wherein the annual electricity consumption carbon emission is expressed asThe method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the invention,E it representing the power consumption of enterprise i at time t; />Representing an electric power consumption carbon emission accounting period; />And representing the electricity consumption carbon emission intensity of the enterprise i at the time t.
4. The comprehensive evaluation method for the performance of the electric power carbon of the enterprise according to claim 1, wherein the index value of the total emission reduction amount of the consumed green electricity is calculated and expressed as a formulaThe method comprises the steps of carrying out a first treatment on the surface of the In the method, in the process of the invention,P it representing enterprise i at timetThe green electricity consumption is reduced; />Representing a green power consumption carbon emission reduction accounting period; />And representing the electricity consumption carbon emission intensity of the enterprise i at the time t.
5. The comprehensive evaluation method for the performance of the electrical carbon in the enterprise according to claim 1, wherein the index value of the total amount of carbon emission reduction replaced by the electrical energy is expressed as:
in the method, in the process of the invention,representing enterprise i at timetReplacing the electric quantity by the lower electric energy; />Representing the accounting period of the carbon emission amount replaced by the electric energy;the annual energy is represented to replace the coal burning quantity;C coal represents the carbon emission factor of the coal; />Representing annual energy replacing fuel quantity;C oil representing the fuel carbon emission factor.
6. The method for comprehensively evaluating the carbon performance of the electric power of the enterprise according to claim 1, wherein the determining the carbon performance evaluation result of the target enterprise based on the index values of the evaluation indexes comprises:
carrying out dimensionless treatment on the index values of the evaluation indexes to obtain standardized values of the evaluation indexes;
calculating the grading value of each dimension according to the weight coefficient and the standardized value of each evaluation index under different dimensions;
and calculating the carbon performance evaluation result of the target enterprise according to the grading value and the weight coefficient of each dimension.
7. The method for comprehensively evaluating the performance of the electric power carbon of the enterprise as set forth in claim 6, wherein calculating the weight coefficient of each evaluation index under different dimensions comprises:
the weight coefficient of the first k-1 evaluation indexes under a certain dimension is expressed as follows by a formula:
the weight coefficient of the kth evaluation index in a certain dimension is expressed as:
in the method, in the process of the invention,w j represent the firstjWeight coefficients of the individual evaluation indexes;r j+1 represent the firstj+1 evaluation index relative to the firstjThe degree of importance of the index is evaluated,，e j represent the firstjEntropy values of the respective evaluation indexes.
8. The method for comprehensively evaluating the performance of electric power and carbon in enterprises of claim 6, wherein calculating the grading value of each dimension comprises:
determining a positive ideal solution and a negative ideal solution of each dimension, and expressing the positive ideal solution and the negative ideal solution as formula:
in the method, in the process of the invention,V + 、V - representing a positive ideal solution and a negative ideal solution of a certain dimension;and->Respectively under a certain dimensionjThe optimal value and the worst value of each evaluation index;
calculating the grading value of each dimension of the target enterprise, and expressing the grading value as:
in the method, in the process of the invention,M il dimension in enterprise iIs a scoring value of (2);v ij dimension +.>The weighted normalized value of the j-th evaluation index.
9. The enterprise electric power carbon performance comprehensive evaluation device is characterized by comprising a processor and a memory for storing executable instructions of the processor; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the steps of:
pre-constructing an enterprise electric power carbon performance evaluation index system, wherein the enterprise electric power carbon performance evaluation index system comprises a plurality of evaluation indexes in a plurality of dimensions and at least comprises at least one of the following evaluation indexes: the unit increment value is the electric carbon emission, the total carbon emission reduction amount consumed by green electricity, the total carbon emission reduction amount required by response, and the total carbon emission reduction amount replaced by electric energy;
calculating the electricity consumption carbon emission intensity of a target enterprise: calculating a power contribution matrix of the generator to the loadMatrix elementsAccording to the contribution matrix of the generator current to the load current +.>The ratio of the load voltage to the generator voltage is determined +.>The method specifically comprises the following steps:
constructing a first equation representing the relation between node voltage and injection current, and expressing the first equation as:
in the method, in the process of the invention,I G injection current vector for the generator node;I L injection current vector for load node;V G a node voltage vector that is a generator node;V L a node voltage vector that is a load node;Y GG input admittance for the generator node;Y GL the transfer admittance from the generator node to the load node;Y LG the transfer admittance from the load node to the generator node;Y LL input admittance for the load node;
based on a first equation, a contribution matrix of generator current to load current is constructedExpressed as:
contribution matrix based on generator current to load currentThe ratio of the load voltage to the generator voltage, a power contribution matrix is constructed>Expressed as:
in the method, in the process of the invention,for load->Is set to be equal to the node voltage of (a),V g for the node voltage of generator g, +.>(/>,g) Load for generator g>Contribution in matrix->Corresponding element of (a) represents conjugation;
according to the power contribution matrixCarbon emission vector for generatorE G The electricity consumption carbon emission vector of the load is calculated, and the electricity consumption carbon emission vector specifically comprises:
according to the power contribution matrixAnd (3) establishing a complex power relation equation of the load and the generator:
in the method, in the process of the invention,S G to inject the complex power vector of the generator node,S L complex power vectors for injection into the load nodes;
according to a complex power relation equation of the load and the generator, determining a carbon emission relation equation of the load and the generator:
；
in the method, in the process of the invention,E L as the electricity consumption carbon emission vector of the load,E G is the generated carbon emission vector of the generator,C G is a diagonal matrix of generator carbon emission intensity,re () Representing the real part;
according to the electricity carbon emission of the enterprise and the active power of the target enterprise, calculating the electricity carbon emission intensity of the target enterprise, wherein the electricity carbon emission intensity is expressed as follows:
in the method, in the process of the invention,at time for enterprise itLower active power; />Electricity and carbon emission are used for enterprise i at time t;
determining index values of the target enterprises corresponding to the evaluation indexes based on the electricity carbon emission intensity of the target enterprises;
and determining the carbon performance evaluation result of the target enterprise based on the index values of the evaluation indexes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311146987.3A CN116882848B (en) | 2023-09-07 | 2023-09-07 | Enterprise electric carbon performance comprehensive evaluation method and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311146987.3A CN116882848B (en) | 2023-09-07 | 2023-09-07 | Enterprise electric carbon performance comprehensive evaluation method and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116882848A CN116882848A (en) | 2023-10-13 |
| CN116882848B true CN116882848B (en) | 2024-02-09 |
Family
ID=88255362
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311146987.3A Active CN116882848B (en) | 2023-09-07 | 2023-09-07 | Enterprise electric carbon performance comprehensive evaluation method and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116882848B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117575175B (en) * | 2024-01-15 | 2024-03-29 | 国网浙江省电力有限公司 | Carbon emission evaluation method, device, electronic equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184493A (en) * | 2015-09-11 | 2015-12-23 | 国网冀北电力有限公司 | Electrical network enterprise energy performance appraisal method |
| CN115249096A (en) * | 2021-04-25 | 2022-10-28 | 中国石油化工股份有限公司 | Energy management performance evaluation method |
| CN116644995A (en) * | 2023-05-26 | 2023-08-25 | 国网浙江省电力有限公司电力科学研究院 | Energy-saving and carbon-reducing evaluation method for chemical fiber enterprise coupling multiple factors |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006004132A1 (en) * | 2004-07-05 | 2006-01-12 | Intellectual Property Bank Corp. | Device for specifying company evaluation contribution factor and/or index, specifying program, and specifying method |
-
2023
- 2023-09-07 CN CN202311146987.3A patent/CN116882848B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184493A (en) * | 2015-09-11 | 2015-12-23 | 国网冀北电力有限公司 | Electrical network enterprise energy performance appraisal method |
| CN115249096A (en) * | 2021-04-25 | 2022-10-28 | 中国石油化工股份有限公司 | Energy management performance evaluation method |
| CN116644995A (en) * | 2023-05-26 | 2023-08-25 | 国网浙江省电力有限公司电力科学研究院 | Energy-saving and carbon-reducing evaluation method for chemical fiber enterprise coupling multiple factors |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116882848A (en) | 2023-10-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gianfreda et al. | A stochastic latent moment model for electricity price formation | |
| Yang et al. | Fluctuation reduction of wind power and sizing of battery energy storage systems in microgrids | |
| CN116882848B (en) | Enterprise electric carbon performance comprehensive evaluation method and equipment | |
| CN111415061B (en) | Comprehensive evaluation method and device for renewable energy power system | |
| CN105405061A (en) | Evaluation method of power supply reliability of distribution network based on demand response | |
| AlSkaif et al. | A distributed power sharing framework among households in microgrids: A repeated game approach | |
| Motamedisedeh et al. | A novel optimization model for biding in the deregulated power market with pay as a bid settlement mechanism, based on the stochastic market clearing price | |
| CN113988702A (en) | Demand side resource potential evaluation method and system | |
| Su et al. | Optimal placement and capacity sizing of energy storage systems via NSGA-II in active distribution network | |
| CN116227822A (en) | Power grid planning method and terminal based on provincial power grid marginal emission factors | |
| Tian | Grid-connected energy storage systems: benefits, planning and operation | |
| Wu et al. | An efficient decomposition method for bilevel energy storage arbitrage problem | |
| CN115204944A (en) | Energy storage optimal peak-to-valley price difference measuring and calculating method and device considering whole life cycle | |
| CN108805323A (en) | Data predication method and device | |
| CN115545569B (en) | Peak electricity price mechanism implementation effect evaluation method based on quantitative fee analysis | |
| Wang et al. | Study on Method of User’s Comprehensive Energy Use Behavior Decision Based on Evolutionary Game | |
| CN110909940A (en) | Combined bidding method for wind storage system in medium-long term power market | |
| CN117973617A (en) | Thermal power plant value-added optimization scheduling method based on value chain and electric power market transaction | |
| CN117114389A (en) | Electric power engineering project risk prevention method and system based on Shapley-Gray method | |
| Ren et al. | Incentive Demand Response Considering Life Degradation of Energy Storage System | |
| Chen | Distribution Network Reliability Assessment Based on User Response | |
| CN117709735A (en) | Distributed photovoltaic grid-connected scheme adaptability evaluation method considering carbon reduction benefits | |
| CN117498407A (en) | Method for evaluating influence of user energy storage on power grid load characteristics | |
| CN115034618A (en) | Community comprehensive energy system benefit evaluation method based on fuzzy evaluation | |
| CN115630797A (en) | Method for analyzing influence of electric power spot market on new energy utilization |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |