CN110880045A - Power transmission network preferred item determination method, system and storage medium - Google Patents
Power transmission network preferred item determination method, system and storage medium Download PDFInfo
- Publication number
- CN110880045A CN110880045A CN201911043255.5A CN201911043255A CN110880045A CN 110880045 A CN110880045 A CN 110880045A CN 201911043255 A CN201911043255 A CN 201911043255A CN 110880045 A CN110880045 A CN 110880045A
- Authority
- CN
- China
- Prior art keywords
- project
- cost
- index
- calculating
- benefit
- 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
- 230000005540 biological transmission Effects 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000003860 storage Methods 0.000 title claims description 11
- 230000008901 benefit Effects 0.000 claims abstract description 79
- 230000007613 environmental effect Effects 0.000 claims description 25
- 238000010248 power generation Methods 0.000 claims description 20
- 238000004364 calculation method Methods 0.000 claims description 17
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 16
- 229910052799 carbon Inorganic materials 0.000 claims description 16
- 239000000446 fuel Substances 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 10
- 230000005611 electricity Effects 0.000 claims description 7
- 230000009467 reduction Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000012047 cause and effect analysis Methods 0.000 claims description 2
- 238000012043 cost effectiveness analysis Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 abstract description 14
- 238000012545 processing Methods 0.000 abstract description 6
- 230000008859 change Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 8
- 238000011156 evaluation Methods 0.000 description 5
- 150000001875 compounds Chemical class 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 239000003245 coal Substances 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000013210 evaluation model Methods 0.000 description 3
- 239000002131 composite material Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 229940056913 eftilagimod alfa Drugs 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000013077 scoring method Methods 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Finance (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a power transmission network preferred project determining system, which comprises a database, a data processing module and a data processing module, wherein project data files are imported, analyzed and stored in the database; reading project data from a database and calculating a project comprehensive cost benefit index; the method and the system can carry out relatively objective quantitative judgment on the project of the power transmission network from the perspective of giving consideration to cost and benefit, and preferably select the project with high cost performance to be preferentially implemented, so that the aims of ensuring the safe and stable operation of the power transmission network, supporting the development requirement of the economic society and maintaining the sustainable development of the power network enterprise are fulfilled.
Description
Technical Field
The invention belongs to the technical field of power grid planning, and particularly relates to a method and a system for determining a preferable project of a power transmission network.
Background
The construction of the power grid is taken as an important basis for national economy and social development, and the power grid has extremely important significance in supporting industrial production, guaranteeing the life of residents, maintaining the stable development of society and the like. With the continuous and deep promotion of urbanization and industrialization in China, the power demand is continuously increased along with the continuous improvement of the economic development level, the safe operation pressure of a large power grid is huge, and because part of power transmission networks have potential safety hazards and weak links, especially the main grid frame of the super-high voltage and other provincial power transmission needs to be continuously optimized and perfected, and the investment, construction and development requirements of the power transmission networks are huge.
The planning of the investment project of the power transmission network needs to be comprehensively analyzed based on various objective conditions, and the requirements of capacity improvement and technology upgrading of the power transmission grid can be met, so that the safe and stable operation of the power transmission grid is guaranteed, and the development requirements of the economic society are supported; and the investment capacity under certain constraint conditions is realized, and the sustainable development of power grid enterprises is maintained.
A balance scoring method is applied to the field of power grid load infrastructure project investment in a first document (investment assessment research on power grid large and medium infrastructure projects), < energy and environmental protection > 2017, 11 th month, 39 th month, 76 th to 81 th page), a newly added load project of power grid infrastructure is evaluated from 4 dimensions of project input and output indexes, investment overflow effects, the past management level of a power grid enterprise and the overall economic and technical indexes of the power grid enterprise, the evaluation model has certain reference significance for improving the infrastructure management level of the power grid enterprise, but as the evaluation model mixes the prior evaluation of infrastructure projects and the after evaluation after project investment, important infrastructure projects needing to be preferentially implemented cannot be selected in advance through the evaluation model.
Among the prior assessment methods for investment Projects of power Transmission networks, applied in countries of the world, the fusion Cost-Benefit and multi-objective assessment method adopted by European ENTSO-E (European Network of Transmission System Operators for electric purposes) (document two, ENTSO-E guide for Cost estimate analysis of Grid Development Projects, ENTSO-E2015) has higher reference value. In order to deal with the dual challenges of climate change and energy safety, europe is vigorously developing renewable energy, in order to improve energy efficiency and guarantee the realization of the development target of renewable energy, various countries in europe are continuously strengthening power grid interconnection, constructing a unified power market, eliminating the power trade barriers among countries, and promoting the renewable energy to freely flow and be efficiently absorbed in a wider range in europe. In 2009, the european council officially authorizes ENTSO-e (european Network of Transmission systems Operators for electric) to be responsible for the general european grid development planning, and compiles and releases european "Ten years grid development planning (TYNDP, Ten-YearNetwork Plan)" every two years.
Each project related in TYDNP needs to adopt fusion cost benefit and multi-target evaluation for advance evaluation, and important evaluation indexes of the cost benefit of the power grid investment project, such as project economic cost, social influence, renewable energy access, power grid loss and the like, are combed from multiple aspects of social, economic and environmental influences and the like. However, since the dimensions of the quantization indexes are different, if an investment project to be preferentially implemented needs to be selected, it is necessary to make a judgment by the experience of an expert, and it is difficult to ensure objectivity.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method and a system for determining a preferable project of a power transmission network, which are used for optimally selecting the project of the power transmission network from the perspective of considering both cost and benefit and saving the project implementation cost.
The technical problem to be solved by the invention is realized by the following technical scheme:
in a first aspect, a method for determining a preferred item of a power transmission network is provided, which includes:
importing a power transmission network project data file and analyzing the power transmission network project data file to obtain project data;
storing the analyzed project data into a database;
reading project data from a database and calculating a project comprehensive cost benefit index;
and determining the preferable project of the power transmission network according to the project comprehensive cost-benefit index.
With reference to the first aspect, further, the calculating the project comprehensive cost-benefit index includes:
calculating a project comprehensive cost index C according to the economic cost index value, the social cost index value and the social cost index valueT;
According to the power generation cost benefit index value, the power supply cost benefit index value, the network loss benefit index value is reduced, the power supply renewable energy resource occupation benefit index value, the power supply abandoned wind-solar occupation benefit index value, the power supply fuel consumption benefit index value is reduced, the power supply carbon emission intensity benefit index value is reduced, and the abundance effect is achievedCalculating a project comprehensive benefit index B by using a benefit index value, a newly-added power grid transmission capacity benefit index value, a power grid structure enhancement benefit index value and preset weight values of all index valuesT;
According to the project comprehensive cost index CTAnd said project comprehensive benefit index BTCalculating the project comprehensive cost benefit index according to the following formula:
with reference to the first aspect, further, the project comprehensive cost index calculation includes:
In the formula, CMIs an economic cost value, CM,MAXA predetermined maximum economic cost value;
In the formula, CEAs an environmental cost index value, CE,MAXThe maximum allowable value of the environmental cost index value;
In the formula, CSIs a social cost index value, CS,MAXThe maximum allowable value of the social cost index value is obtained;
calculating a project comprehensive cost index according to the calculated cost indexes;
calculating the comprehensive cost index CT:
In the formula, WM、WE、WSAre the corresponding weight values.
With reference to the first aspect, further, the calculating of the project comprehensive benefit index includes:
calculating a power generation cost benefit index BG:
In the formula, Cg,0Average cost of electricity generation before project implementation, Cg,1The average power generation cost after the project is implemented;
calculating a power supply cost benefit index BS:
In the formula, CS,0Average cost of power supply before project implementation, CS,1Average power supply cost after project implementation;
calculating the benefit index B for reducing the network lossγ,LOSS:
In the formula, gammaloss,0Grid loss rate, gamma, of the grid before project implementationloss,1The loss rate of the power grid after the project is implemented;
calculating power supply renewable energy resource ratio benefit index BRE
In the formula, βre,0For supplying power before project implementation, renewable energy ratio, CS,1The proportion of renewable energy sources for power supply after the project is implemented;
calculating power supply abandoned wind-solar ratio benefit index Bβ,LOSS:
In the formula, Bloss,0Average power supply rejection ratio before project implementation, Bloss,1The wind-light ratio is abandoned for the power supply after the project is implemented;
calculating a power supply fuel consumption reduction benefit index Bλ,f:
In the formula off,0Average power supply fuel consumption, lambda, before project implementationf,1Average power supply fuel consumption after project implementation;
calculating the benefit index B of reducing the power supply carbon emission intensityλ,e
In the formula, λe,0Average powered carbon emission intensity before project implementation, CS,1Average powered carbon emission intensity after project implementation;
calculating an abundance benefit index BA:
In the formula, LOLE0LOLE value of the system before implementation for a project, LOLE1LOLE value of the system after project implementation;
calculating the transmission capacity benefit index B of the newly added power gridGTC:
In the formula,. DELTA.PGTCNew transmission capacity, delta P, of the grid for project implementationGTC,objectiveThe preset target value of the transmission capacity of the newly increased power grid is obtained;
calculating the power grid structure enhancement benefit index BN:
In the formula, NM10Number of lines or transformers not meeting the industry standard in the system before project implementation, NM11The number of lines or transformers which do not meet the industry standard in the system after the project is implemented;
calculating the comprehensive benefit index BT:
BT=KG×BG+KS×BS+Kγ,LOSS×Bγ,LOSS+KRE×BRE+Kβ,LOSS×Bβ,LOSS+Kλ,f×Bλ,f+Kλ,e×Bλ,e+KA×BA+KGTC×BGTC+KN×BN(32)
In the formula KG、KS、Kγ,LOSS、KRE、Kβ,LOSS、Kλ,f、Kλ,e、KA、KGTC、KNAre the corresponding weight values.
With reference to the first aspect, further, the determining a preferred project of the power transmission network according to the project comprehensive cost-benefit index specifically includes:
sorting the comprehensive cost-benefit indexes of the candidate items, judging whether the candidate items arranged at the top meet all the constraint conditions or not from the candidate items arranged at the top in a descending order, if so, determining the candidate items as preferred items, otherwise, judging whether the candidate items arranged at the next level meet all the constraint conditions or not until the candidate items meeting all the constraint conditions are found;
and recording the selected preferred item target as a commissioning state, recalculating the comprehensive cost-benefit indexes of the remaining to-be-selected items, and finding out the preferred items from the comprehensive cost-benefit indexes until no preferred item exists in the remaining to-be-selected items.
With reference to the first aspect, further, the constraint condition includes:
1) selecting a project economic cost value C less than or equal to the currently available economic cost valueM,AVC;
CM,i≤CM,AVC(4)
In the formula, CM,iEconomic cost for the selected ith project;
2) the environmental cost index of the selected item is less than or equal to the currently available environmental cost index value CE,AVC:
CE,i≤CE,AVC(6)
In the formula, CE,iAn environmental cost index value for the selected ith item;
3) the social cost index of the selected project is less than or equal to the currently available social cost index value CS,AVC;
CS,i≤CS,AVC(7)
In the formula, CS,iThe social cost index value of the selected ith item.
In a second aspect, a power transmission network preferred item determination system is provided, including:
the analysis module is used for importing the project data file and analyzing the project data file to obtain project data;
the storage module is used for storing the analyzed project data into a database;
the index calculation module is used for reading project data from the database and calculating the comprehensive cost benefit index of the project;
and the project determining module is used for determining the preferable project of the power transmission network according to the project comprehensive cost-benefit index.
With reference to the second aspect, further, the item determination module includes:
the sorting unit is used for sorting the comprehensive cost benefit indexes of the candidate items in a descending order;
the judging unit is used for judging whether the candidate item arranged at the top meets all the constraint conditions or not from the candidate item arranged at the top, if so, the candidate item is determined as a preferred item, otherwise, whether the candidate item arranged at the next position meets all the constraint conditions or not is judged until the candidate item meeting all the constraint conditions is found;
and the marking unit is used for marking the selected preference target as a commissioning state.
In a third aspect, a power transmission network preferred item determination system is provided, which comprises a memory and a processor;
the memory is to store instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method of any of the first aspects.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of the first aspect.
Has the advantages that: according to the invention, by calculating the comprehensive cost benefit index of the project and unifying the dimension of the index in the calculation process, the power transmission network project is relatively objectively and quantitatively judged from the perspective of considering both cost and benefit, and the project implementation with high cost performance is preferably selected through the index, so that the aims of ensuring the safe and stable operation of the power transmission network, supporting the development requirements of the economic society and maintaining the sustainable development of the power network enterprise are indirectly achieved.
Drawings
Fig. 1 is a schematic flow chart of an implementation of the power transmission network preferred item determination method of the present invention.
Detailed Description
To further describe the technical features and effects of the present invention, the present invention will be further described with reference to the accompanying drawings and detailed description.
Example 1
The invention provides a method for determining a preferable project of a power transmission network, which comprises the following steps:
step one, importing a project data file, analyzing the project data file, and storing the analyzed project data into a database;
the project data are stored in XML files in a structured mode, and the system reads the files through a parser and stores the files into a database.
Step two, reading project data from the database to calculate the comprehensive cost-benefit index of the project
Before beginning to formally calculate the comprehensive cost-benefit index of the project, initializing, including:
a) let the cycle count L equal to 1;
b) the selected number TS of preferred items is 0;
c) initializing constraint conditions:
(c.1) initialization of economic cost constraints:
CM,AVC=CM,MAX(1)
wherein, CM,MAXIs the maximum economic cost value, and CM,AVCIs the currently available economic cost value (unit: ten thousand yuan).
(c.2) initialization of environmental cost constraints:
CE,AVC=CE,MAX(2)
wherein, CE,MAXIs the maximum allowable value of the environmental cost index value, and CE,AVCIs the value (unit: kilometers) of the currently available environmental cost index.
(c.3) initialization of social cost constraints:
CS,AVC=CS,MAX(3)
wherein, CS,MAXIs the maximum allowable value of the social cost index, and CS,AVCIs a currently available social cost index value (unit: kilometers)
A. Calculating a composite cost indicator for a project
Firstly, the economic cost C is calculated by adopting a formula (5)M,
In the formula, CMIs given by formula (5), and CM,MAXIs a predetermined maximum economic cost value (in units of ten thousand dollars).
In the formula, CEIs an environmental cost index value expressed by the kilometer number of the transmission line passing through the region (such as a natural protection region) considering the environmental cost, and CE,MAXThe maximum allowable value (in kilometers) of the environmental cost index value is obtained.
In the formula, CSIs a social cost index value expressed in kilometers of the transmission line passing through an area (such as an area close to a school) in which the social cost is considered, and CS,MAXIs a social eraThe maximum allowable value (in kilometers) of the value index, and the equations (11) to (13) are unified in dimension by per unit.
A.4 calculating the comprehensive cost index CT
In the formula (I), the compound is shown in the specification,are given by formulae (11) to (13), respectively, and WM、WE、WSIs a corresponding weight value (positive number), and satisfies:
WM+WE+WS=1.0 (15)
B. calculating the comprehensive benefit index of the project
B.1 calculating Power Generation cost benefit index BG
In the formula, Cg,0Average cost of electricity generation before project implementation, Cg,1The average power generation cost after the project is implemented; the calculation formula of the average power generation cost is as follows:
in the formula (I), the compound is shown in the specification,the coal consumption rate (unit: tCE/MWh) of the ith unit is marked,the ith unit fuel price (unit: ¥/tCE),the ith train carbon emission (unit: tCO2/MWh),carbon emission price (unit: ¥/tCO2),variable operation and maintenance cost of the ith unit, qiThe power generation amount (unit: MWh) of the ith unit.
B.2 calculating Power supply cost benefit index BS
In the formula, CS,0Average cost of power supply before project implementation, CS,1Average power supply cost after project implementation; the calculation formula of the average power supply cost is as follows:
in the formula, qiThe generating capacity (unit: MWh), p of the ith unitiThe power generation cost (unit: ¥/MWh) of the ith unit and qin,jThe j-th tie line calls in the electric quantity (unit: MWh), pin,jThe j-th tie line is adjusted into the electricity price (unit: ¥/MWh), qout,kThe kth tie line calls out the electric quantity (unit: MWh), pout,kThe kth tie line calls out the electricity price (unit: ¥/MWh), qload,nLoad power consumption (unit: MWh), Q of nth busloadTotal load requirement (Unit: MWh), QoutThe total output electric quantity (unit: MWh).
B.3 calculating the benefit index B for reducing the network lossγ,LOSS
In the formula, gammaloss,0Grid loss rate, gamma, of the grid before project implementationloss,1And (4) the loss rate of the power grid after the project is implemented.
B.4 calculating power supply renewable energy resource ratio benefit index BRE
In the formula, βre,0For supplying power before project implementation, renewable energy ratio, CS,1The proportion of renewable energy sources for power supply after the project is implemented; the calculation formula of the power supply renewable energy ratio is as follows:
in the formula (I), the compound is shown in the specification,the hydraulic power generation (unit: MWh),the wind power generation capacity (unit: MWh),the photovoltaic power generation (unit: MWh),photothermal power generation (unit: MWh), QloadTotal load requirement (Unit: MWh), QoutThe total output electric quantity (unit: MWh).
B.5 calculating power supply abandon wind-solar energy ratio benefit index Bβ,LOSS:
In the formula, Bloss,0Before the project is implementedAverage power supply wind-light ratio of (B)loss,1The wind-light ratio is abandoned for the power supply after the project is implemented; the calculation formula of the power supply abandoned wind-solar ratio is as follows:
In the formula (I), the compound is shown in the specification,abandoning the wind power generation (unit: MWh),abandoning photovoltaic power generation (unit: MWh),abandon photovoltaic power generation (unit: MWh), QloadTotal load requirement (Unit: MWh), QoutThe total output electric quantity (unit: MWh).
B.6 calculating the benefit index B for reducing the power supply fuel consumptionλ,f
In the formula off,0Average power supply fuel consumption, lambda, before project implementationf,1Average power supply fuel consumption after project implementation; and the calculation formula of the average power supply fuel consumption is as follows:
In the formula, qiThe power generation capacity (MWh) of the ith unit,nominal coal consumption rate (tCE/MWh), q of the ith unitin,jThe j-th tie line calls in the electric quantity (MWh),the j-th tie line calls the electric quantity standard coal consumption rate (tCE/MWh), QloadTotal load demand (MWh), QoutThe total delivered charge (MWh).
B.7 calculating the efficiency index B for reducing the power supply carbon emission intensityλ,e
In the formula, λe,0Average powered carbon emission intensity before project implementation, CS,1Average powered carbon emission intensity after project implementation; and the calculation formula of the average power supply carbon emission intensity is as follows:
in the formula, qiThe power generation capacity (MWh) of the ith unit,carbon emission rate of i-th unit (tCO2/MWh), qin,jThe j-th tie line calls in the electric quantity (MWh),the j-th tie line calls the carbon emission rate (tCO2/MWh), QloadTotal load demand (MWh), QoutThe total delivered charge (MWh).
B.8 calculating the abundance benefit index BA
In the formula, LOLE0LOLE value of the system before implementation for a project, LOLE1LOLE value of the system after project implementation (unit: average number of electricity shortage hours per a year); but can be found in the literature III (method: Generation Adequacy Ben)Efti monetization' ENTSO-E2017) firstly solves the LOLE0And LOLE1The value of (unit: average number of electricity shortage hours per a year).
B.9 calculating the benefit index B of the transmission capacity of the newly added power gridGTC
In the formula,. DELTA.PGTCNew transmission capacity (unit: MW), delta P, of the network for the implementation of the projectGTC,objectiveThe transmission capacity of the newly-added power grid is a preset target value (unit: MW).
B.10 calculating grid structure enhancement benefit index BN
In the formula, NM10The number of lines or transformers NM1 that do not meet the "N-1" safety criteria (document four "Power System safety and stability guidelines" trade Standard DL 755-1The number of lines or transformers in the system which do not meet the 'N-1' safety criterion after the project is implemented; and if NM10If NM1 is equal to 01When being equal to 0, has BNNot equal to 0, otherwise BN=-1。
B.11 calculating the comprehensive benefit index BT
BT=KG×BG+KS×BS+Kγ,LOSS×Bγ,LOSS+KRE×BRE+Kβ,LOSS×Bβ,LOSS+Kλ,f×Bλ,f+Kλ,e×Bλ,e+KA×BA+KGTC×BGTC+KN×BN(32)
In the formula, BG、BS、Bγ,LOSS、BRE、Bβ,LOSS、Bλ,f、Bλ,e、BA、BGTC、BNGiven by the corresponding calculation formulae in B.1 to B.10, respectively, and KG、KS、Kγ,LOSS、KRE、Kβ,LOSS、Kλ,f、Kλ,e、KA、KGTC、KNIs a corresponding weight value (positive number), and satisfies:
KG+KS+Kλ,LOSS+KRE+Kλ,f+Kλ,e+KA+KGTC+KN=1 (33)
comprehensive cost-benefit index calculation for a project
The comprehensive cost benefit indexes of the project are as follows:
parameters of the invention (e.g. C)M,MAX、CE,MAX、CS,MAXEtc.) and each weight value (W)M、WE、WS、KG、KS、Kγ,LOSSEtc.) should be set according to empirical values according to actual requirements of the project.
Step three, selecting the optimized project according to the comprehensive cost benefit indexes of the project
First, assuming that the total project resources are fixed, the resources required by all the selected preferred projects are spent from the total fixed resources.
Sorting the candidate items according to their respective composite cost-effectiveness indices, CBT,iAnd the comprehensive cost-benefit index is the ith candidate item, and whether the current item meets the following constraint conditions on cost and cost is checked one by one from large to small:
(1) selecting a project economic cost value C less than or equal to the currently available economic cost valueM,AVC:
CM,i≤CM,AVC(4)
In the formula, TSFor the number of selected items, CM,iEconomic cost of the selected i-th project, and economic cost CMThe calculation formula of (2) is as follows:
CM=C1+C2+C3+C4(5)
in the formula, C1For the expected cost of materials and assembly, C2The expected cost of the temporary solution required to implement the project, C3For maintenance costs, C4Cost of dismantling the equipment at the end of its service life, CMThe unit of (A) is ten thousand yuan.
(2) The environmental cost index of the selected item is less than or equal to the currently available environmental cost index value CE,AVC:
CE,i≤CE,AVC(6)
Where TS is the number of selected items, CE,iThe environmental cost index value of the selected ith item is expressed by the kilometer number of the transmission line passing through the region (such as a natural protection region) needing to consider the environmental cost.
(3) The social cost index of the selected project is less than or equal to the currently available social cost index value CS,AVC(units are kilometers):
CS,i≤CS,AVC(7)
where TS is the number of selected items, CS,iThe social cost index value of the selected ith item is expressed by the kilometer number of the power transmission line passing through the region (such as a region close to a school) needing to consider the social cost.
If the current candidate item meets all the constraint conditions, selecting the current candidate item as a preferred item; and the serial number corresponding to the preferred item is set as k(L)At an economic cost ofThe environmental cost index isThe social cost index isAnd updating the value of TS, namely TS is equal to L; however, the device is not suitable for use in a kitchenAnd adding 1 to the cycle count, namely L is L + 1.
Otherwise, it will check whether the next ranked item satisfies all constraints until an item satisfying all constraints is found.
After finding the preferred project, recording the selected preferred project target as a commissioning state, that is, the project already occupies the total project resources, and continuing to calculate the comprehensive cost-benefit index of the remaining to-be-selected projects according to the second step, wherein the calculation is performed on the basis that the total project resources are partially occupied by the selected preferred project, that is:
a) will k to(L)After the sub-projects are put into the power grid, calculating the index values in the step two
b) Updating the current available limit value of each constraint condition in the step 2:
(a.1) updating the currently available economic cost value CM,AVC:
(a.2) updating the currently available environmental cost index value CE,AVC::
(a.3) updating the currently available social cost index value CS,AVC::
Then finding out the preferred items according to the recalculated comprehensive cost-benefit indexes of the items until no preferred item exists in the remaining items to be selected, if TS > 0, successfully exiting, outputting a preferred item group, wherein the preferred item group consists of TS preferred items, and the corresponding sequence numbers of the preferred items are k(1),…,k(TS)(ii) a Otherwise, if TS is equal to 0, the failure exits, which means that no preferred item is found.
Example 2
Based on the same inventive concept, the embodiment of the invention also provides a power transmission network preferred item determining system, the principle of solving the technical problem is similar to a power transmission network preferred item determining method, repeated parts are not described again, and the following description is provided.
The power transmission network preferred item determination system comprises:
the analysis module is used for importing the project data file and analyzing the project data file to obtain project data;
the storage module is used for storing the analyzed project data into a database;
the index calculation module is used for reading project data from the database and calculating the comprehensive cost benefit index of the project;
and the selection module is used for determining the preferable project of the power transmission network according to the project comprehensive cost-benefit index.
In one embodiment, the item determination module includes:
the sorting unit is used for sorting the comprehensive cost benefit indexes of the candidate items in a descending order;
the judging unit is used for judging whether the candidate item arranged at the top meets all the constraint conditions or not from the candidate item arranged at the top, if so, the candidate item is determined as a preferred item, otherwise, whether the candidate item arranged at the next position meets all the constraint conditions or not is judged until the candidate item meeting all the constraint conditions is found;
and the marking unit is used for marking the selected preference target as a commissioning state.
Example 3
The system for determining the preferable project of the power transmission network provided by the invention can also be as follows: comprising a memory and a processor; the memory is to store instructions;
the processor is configured to operate according to the instructions to perform the steps of the grid preferred item determination method according to embodiment 1.
Example 4
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the grid preferred item determination method according to embodiment 1.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above embodiments do not limit the present invention in any way, and all technical solutions obtained by taking equivalent substitutions or equivalent changes fall within the scope of the present invention.
Claims (10)
1. A power transmission network preferred item determination method, comprising:
importing a power transmission network project data file and analyzing the power transmission network project data file to obtain project data;
storing the analyzed project data into a database;
reading project data from a database and calculating a project comprehensive cost benefit index;
and determining the preferable project of the power transmission network according to the project comprehensive cost-benefit index.
2. The method for determining the preferable project of the power transmission network according to claim 1, wherein the calculating the project comprehensive cost-benefit index comprises:
calculating a project comprehensive cost index C according to the economic cost index value, the social cost index value and the social cost index valueT;
Calculating a project comprehensive benefit index B according to a power generation cost benefit index value, a power supply cost benefit index value, a network loss benefit index value reduction value, a power supply renewable energy resource occupation benefit index value, a power supply abandoned wind-solar occupation benefit index value, a power supply fuel consumption benefit index value reduction, a power supply carbon emission intensity benefit index value reduction, an abundance benefit index value, a newly increased power grid transmission capacity benefit index value, a power grid structure enhancement benefit index value and preset weight values of all index valuesT;
According to the project comprehensive cost index CTAnd said project comprehensive benefit index BTCalculating the project comprehensive cost benefit index according to the following formula:
3. the method for determining the preferable project of the power transmission network according to claim 2, wherein the project comprehensive cost index calculation comprises:
In the formula, CMIs an economic cost value, CM,MAXA predetermined maximum economic cost value;
In the formula, CEAs an environmental cost index value, CE,MAXThe maximum allowable value of the environmental cost index value;
In the formula, CSIs a social cost index value, CS,MAXThe maximum allowable value of the social cost index value is obtained;
calculating a project comprehensive cost index according to the calculated cost indexes;
calculating the comprehensive cost index CT:
In the formula, WM、WE、WSAre the corresponding weight values.
4. The method for determining the preferable project of the power transmission network according to claim 2, wherein the project comprehensive benefit index calculation comprises:
calculating a power generation cost benefit index BG:
In the formula, Cg,0Average cost of electricity generation before project implementation, Cg,1The average power generation cost after the project is implemented;
calculating a power supply cost benefit index BS:
In the formula, CS,0Average cost of power supply before project implementation, CS,1Average power supply cost after project implementation;
calculating the benefit index B for reducing the network lossγ,LOSS:
In the formula, gammaloss,0Grid loss rate, gamma, of the grid before project implementationloss,1The loss rate of the power grid after the project is implemented;
calculating power supply renewable energy resource ratio benefit index BRE
In the formula, βre,0For supplying power before project implementation, renewable energy ratio, CS,1The proportion of renewable energy sources for power supply after the project is implemented;
calculating power supply abandoned wind-solar ratio benefit index Bβ,LOSS:
In the formula, Bloss,0Average power supply rejection ratio before project implementation, Bloss,1The wind-light ratio is abandoned for the power supply after the project is implemented;
calculating a power supply fuel consumption reduction benefit index Bλ,f:
In the formula off,0Average power supply fuel consumption, lambda, before project implementationf,1Average power supply fuel consumption after project implementation;
calculating the benefit index B of reducing the power supply carbon emission intensityλ,e
In the formula, λe,0Average powered carbon emission intensity before project implementation, CS,1Average powered carbon emission intensity after project implementation;
calculating an abundance benefit index BA:
In the formula, LOLE0LOLE value of the system before implementation for a project, LOLE1LOLE value of the system after project implementation;
calculating the transmission capacity benefit index of the newly added power gridBGTC:
In the formula,. DELTA.PGTCNew transmission capacity, delta P, of the grid for project implementationGTC,objectiveThe preset target value of the transmission capacity of the newly increased power grid is obtained;
calculating the power grid structure enhancement benefit index BN:
In the formula, NM10Number of lines or transformers not meeting the industry standard in the system before project implementation, NM11The number of lines or transformers which do not meet the industry standard in the system after the project is implemented;
calculating the comprehensive benefit index BT:
BT=KG×BG+KS×BS+Kγ,LOSS×Bγ,LOSS+KRE×BRE+Kβ,LOSS×Bβ,LOSS+Kλ,f×Bλ,f+Kλ,e×Bλ,e+KA×BA+KGTC×BGTC+KN×BN
In the formula KG、KS、Kγ,LOSS、KRE、Kβ,LOSS、Kλ,f、Kλ,e、KA、KGTC、KNAre the corresponding weight values.
5. The method according to claim 1, wherein the transmission grid preference item is determined,
the preferable project of the power transmission network is determined according to the project comprehensive cost-benefit index, and specifically comprises the following steps:
sorting the comprehensive cost-benefit indexes of the candidate items, judging whether the candidate items arranged at the top meet all the constraint conditions or not from the candidate items arranged at the top in a descending order, if so, determining the candidate items as preferred items, otherwise, judging whether the candidate items arranged at the next level meet all the constraint conditions or not until the candidate items meeting all the constraint conditions are found;
and recording the selected preferred item target as a commissioning state, continuously calculating the comprehensive cost-benefit indexes of the remaining to-be-selected items, and finding out the preferred items from the comprehensive cost-benefit indexes until no preferred item exists in the remaining to-be-selected items.
6. The method for determining the preferable item of the power transmission network according to claim 5, wherein the constraint condition comprises:
1) selecting a project economic cost value C less than or equal to the currently available economic cost valueM,AVC;
CM,i≤CM,AVC
In the formula, CM,iEconomic cost for the selected ith project;
2) the environmental cost index of the selected item is less than or equal to the currently available environmental cost index value CE,AVC:
CE,i≤CE,AVC
In the formula, CE,iAn environmental cost index value for the selected ith item;
3) the social cost index of the selected project is less than or equal to the currently available social cost index value CS,AVC;
CS,i≤CS,AVC
In the formula, CS,iThe social cost index value of the selected ith item.
7. A power grid project preferred item determination system, comprising:
the analysis module is used for importing the project data file and analyzing the project data file to obtain project data;
the storage module is used for storing the analyzed project data into a database;
the index calculation module is used for reading project data from the database and calculating the comprehensive cost benefit index of the project;
and the project determining module is used for determining the preferable project of the power transmission network according to the project comprehensive cost-benefit index.
8. The grid preferred item determination system according to claim 7, wherein the item determination module comprises:
the sorting unit is used for sorting the comprehensive cost benefit indexes of the candidate items in a descending order;
the judging unit is used for judging whether the candidate item arranged at the top meets all the constraint conditions or not from the candidate item arranged at the top, if so, the candidate item is determined as a preferred item, otherwise, whether the candidate item arranged at the next position meets all the constraint conditions or not is judged until the candidate item meeting all the constraint conditions is found;
and the marking unit is used for marking the selected preference target as a commissioning state.
9. A power grid project preferred item determination system comprising a memory and a processor;
the memory is to store instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the steps of the method of any one of claims 1 to 6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911043255.5A CN110880045A (en) | 2019-10-30 | 2019-10-30 | Power transmission network preferred item determination method, system and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911043255.5A CN110880045A (en) | 2019-10-30 | 2019-10-30 | Power transmission network preferred item determination method, system and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110880045A true CN110880045A (en) | 2020-03-13 |
Family
ID=69728319
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911043255.5A Pending CN110880045A (en) | 2019-10-30 | 2019-10-30 | Power transmission network preferred item determination method, system and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110880045A (en) |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110175702A (en) * | 2019-04-30 | 2019-08-27 | 魏晓霞 | It determines the method for the programme of transregional interconnected network project, calculate equipment |
-
2019
- 2019-10-30 CN CN201911043255.5A patent/CN110880045A/en active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110175702A (en) * | 2019-04-30 | 2019-08-27 | 魏晓霞 | It determines the method for the programme of transregional interconnected network project, calculate equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fang et al. | Government regulation of renewable energy generation and transmission in China’s electricity market | |
CN113971530A (en) | Novel power system source network and storage cooperation oriented power balancing method | |
CN115759335A (en) | Novel carbon emission prediction model | |
CN112308411A (en) | Comprehensive energy station random planning method and system based on dynamic carbon transaction model | |
Culaba et al. | Optimal design of an integrated renewable‐storage energy system in a mixed‐use building | |
Pan et al. | Optimal scheduling for unit commitment with electric vehicles and uncertainty of renewable energy sources | |
CN107274054B (en) | Power distribution network operation efficiency evaluation method based on maximum available capacity of same-layer equipment | |
Xiao et al. | Effect of an electric vehicle promotion policy on China’s Islands: a case study of Hainan Island | |
CN115660234B (en) | Double-carbon prediction optimization model based on hybrid measurement and calculation method | |
Song et al. | Carbon neutrality and renewable energy development in China | |
CN116455078A (en) | Intelligent operation and maintenance management and control platform for power distribution network | |
CN106203742A (en) | A kind of grid equipment Energy efficiency evaluation based on energy-conservation return rate and selection method | |
CN110880045A (en) | Power transmission network preferred item determination method, system and storage medium | |
Liu et al. | Research on the decomposition model for China’s National Renewable Energy total target | |
Zheng et al. | Quantitative entropy weight TOPSIS evaluation of sustainable Chinese wind power developments | |
CN107871288B (en) | Method and system for measuring and calculating greenhouse gas emission reduction | |
Tang et al. | Economic Analysis of Emerging Integrated Energy Service Market in China: A Theoretical View | |
Wang et al. | Wind-Thermal-Energy Storage System Optimization: Evidence from Simulations of the Economical Consumption of Wind Energy | |
Torabi et al. | Modelling demand flexibility and energy storage to support increased penetration of renewable energy resources on Porto Santo | |
Xie | Level and drivers of China’s construction industry energy efficiency under carbon dioxide emissions | |
CN112434446A (en) | Distributed energy storage economy evaluation method based on full life cycle | |
Xiaoxin et al. | Optimal scheduling of integrated energy systems including hydrogen electrolyzers, HFCVs, and electric vehicles | |
Zhang et al. | Study on Carbon Emission Evaluation of Power Grid Construction Projects Under Dual Carbon Targets | |
Nie et al. | Analysis and Evaluation of Energy and Environmental Benefits of New Energy Vehicles | |
Lei et al. | Bi-level optimization configuration method for microgrids considering carbon trading and demand response |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200313 |
|
RJ01 | Rejection of invention patent application after publication |