CN109544006A - A method of evaluation electric automobile charging station economic benefit - Google Patents

A method of evaluation electric automobile charging station economic benefit Download PDF

Info

Publication number
CN109544006A
CN109544006A CN201811409862.4A CN201811409862A CN109544006A CN 109544006 A CN109544006 A CN 109544006A CN 201811409862 A CN201811409862 A CN 201811409862A CN 109544006 A CN109544006 A CN 109544006A
Authority
CN
China
Prior art keywords
charging station
index
electric automobile
evaluation
economic 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
Application number
CN201811409862.4A
Other languages
Chinese (zh)
Inventor
朱斌
何韵
谷泓杰
闻铭
丁宵寅
华燕
蔡张花
黄丽丽
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd
Zhejiang Huayun Information Technology Co Ltd
Original Assignee
Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd
Zhejiang Huayun Information Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd, Zhejiang Huayun Information Technology Co Ltd filed Critical Electric Power Research Institute of State Grid Zhejiang Electric Power Co Ltd
Priority to CN201811409862.4A priority Critical patent/CN109544006A/en
Publication of CN109544006A publication Critical patent/CN109544006A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a kind of methods for evaluating electric automobile charging station economic benefit, are related to power domain.Currently, carrying out electric car evaluation of economic benefit, it is extremely important.The invention includes the following steps: building electric automobile charging station evaluation index of the economic results system;Nondimensionalization processing is carried out to each index parameter in the electric automobile charging station evaluation index of the economic results system of building, and determines each index weights in assessment indicator system;Determine positive ideal solution and minus ideal result;Calculate distance of each evaluation object apart from positive ideal solution and minus ideal result;Each evaluation object is calculated apart from positive ideal solution degree of closeness;Using degree of closeness as comprehensive evaluation value, progress is integrated ordered, obtains ground section electric automobile charging station economic benefit ranking from high to low.The technical program can be widely applied to the economic benefit of scientific evaluation electric automobile charging station project generation, using the evaluation result, supports fund distribution, provides reference for project decision and implementation.

Description

A method of evaluation electric automobile charging station economic benefit
Technical field
The present invention relates to power domain more particularly to a kind of methods for evaluating electric automobile charging station economic benefit.
Background technique
Under global warming, the increasingly depleted background of petroleum resources, developing into for electric car improves energy benefit With efficiency, a kind of optional approach of promotion Renewable Energy Development and energy-saving and emission-reduction.It is corresponding to it, for the charging of electric car Facilities Construction is come into being.Power grid enterprises participate in electric automobile charging station construction, as nationwide scale state owned enterprise with full Foot and to lead social demand be target, realizes that a variety of electric car electric energy supply modes organically combine, formation has networking, intelligence The service network of the wide area covering of energyization, standardized feature.The construction of electric automobile charging station passes through the society of Project Area The various aspects such as Ji, social environment and natural environment can generate certain influence, especially in terms of socioeconomic impact, such as drive The development of upstream and downstream related industry, promotes growth of the national economic, and huge shadow can be generated by offering convenience etc. to people's lives It rings.Wherein, economic benefit is the primary income of electric automobile charging station always.For this purpose, carry out electric car evaluation of economic benefit, Perfect assessment indicator system is established, reasonable assessment model and method is formulated, is extremely important.
Summary of the invention
The technical problem to be solved in the present invention and the technical assignment of proposition are to be improved and improved to prior art, A kind of method for evaluating electric automobile charging station economic benefit is provided, for the purpose of formulating reasonable assessment model and method.For This, the present invention takes following technical scheme.
A method of evaluation electric automobile charging station economic benefit, comprising the following steps:
1) electric automobile charging station evaluation index of the economic results system is constructed;
The index of building includes: the charging station location density of population, charging station location total output value, charging per capita It stands location electric car quantity, the charging station quantity of charging station location corresponding types, charging station location per capita Policy Encouraging, location charging station sum, charging station location electric vehicle ownership, charging station location the type electricity Motor-car accounting, charging station location accumulative investment benefit ratio, charging station location add up one or more of charge volume;
2) dimensionless is carried out to each index parameter in the electric automobile charging station evaluation index of the economic results system of building Change processing, and determine each index weights in assessment indicator system;
3) positive ideal solution and minus ideal result are determined;Using maximum value in each same class index for being evaluated object as correct principle Want to solve, minimum value is as minus ideal result;
4) using different regions electric automobile charging station economic benefit as evaluation object, each evaluation object is calculated apart from correct principle Think the distance of solution and minus ideal result;
5) each evaluation object is calculated apart from positive ideal solution degree of closeness;
6) using degree of closeness as comprehensive evaluation value, progress is integrated ordered, and the ground section electric car obtained from high to low fills Power station economic benefit ranking.
The technical program has been effectively constructed electric automobile charging station evaluation index of the economic results system, and gives correspondence The method for quantitatively evaluating of index, to carry out electric car evaluation of economic benefit, to support different regions electric automobile charging station The administrative decisions such as performance appraisal, fund distribution, so that efficiency of investment is more excellent, more reasonable.
As optimization technique means: in step 1), the index of the index building of building are as follows: x1- charging station location The density of population;The total output value per capita of x2- charging station location;X3- charging station location electric car quantity per capita;x4- The charging station quantity of charging station location corresponding types;X5- charging station location Policy Encouraging;The charging of the location x6- It stands sum;X7- charging station location electric vehicle ownership;X8- charging station location the type electric vehicle accounting;X9- fills Power station location accumulative investment benefit ratio;X10- charging station location adds up charge volume.
As optimization technique means: in step 2), nondimensionalization processing method uses range method, its calculation formula is:
xminFor all minimum values for being evaluated a certain index x in object, xmaxA certain index x in object is evaluated to be all Maximum value, zijFor i-th of evaluation object, j-th of indices non-dimension treated result.
As optimization technique means: in step 2), determine that the summation of each index weights in assessment indicator system is 1, The weight for obtaining each index is calculated according to historical data, or assignment is carried out to the weight of each index based on experience value;
xij=wj.zij
wjFor the weight of j-th of index;
zijFor i-th of evaluation object, j-th of indices non-dimension treated value;
xijFor i-th of evaluation object, j-th of Index Weights treated value.
As optimization technique means: carrying out assignment to the weight of each index based on experience value, form the first weighted value, warp Test the tax weight that value carries out assignment to the weight of each index are as follows:
The weight for obtaining each index is calculated according to historical data, and assignment is carried out to the weight of each index, forms second Weighted value, to be modified to according to the calculated result of the first weighted value.To improve the accuracy of analysis.
As optimization technique means: in step 4), each evaluation object index is apart from positive ideal solution and minus ideal result Distance calculation formula are as follows:
In formula:Be positive ideal solution,It is minimum value as minus ideal result;I=1,2 ... L, m;Q is distance metric ginseng Number, value 3.
As optimization technique means: in step 5), each evaluation object is apart from positive ideal solution degree of closeness CiCalculating Formula are as follows:
In formula: i=1,2 ... L, m.
As optimization technique means: the type of charging station quantity is divided into high speed electric vehicle charging station and city electric car Charging station.
The utility model has the advantages that
1, electric automobile charging station evaluation index of the economic results system, Neng Goucong are established to the technical program system perfecting The charging station location density of population, charging station location total output value, charging station location electric car per capita per capita Quantity, the charging station quantity of charging station location corresponding types, charging station location Policy Encouraging, location charging station Sum, charging station location electric vehicle ownership, charging station location the type electric vehicle accounting, charging station location Accumulative investment benefit ratio, charging station location add up the comprehensive evaluation electric automobile charging station economy effect of charge volume etc. Benefit.
2, the technical program gives electric car charging according to electric automobile charging station evaluation index of the economic results system It stands Analysis of Economy Benefit Evaluation Methods, so that the evaluation of economic benefit generated to the electric automobile charging station of each department is more accurate.This Technical solution can be widely applied to the economic benefit of scientific evaluation electric automobile charging station, guidance instruction be proposed, after being Project decision and implement provide reference guide.
3, the technical program is using range method in the electric automobile charging station evaluation index of the economic results system of building Each index parameter carries out nondimensionalization processing, and robustness is preferable, and the bore of energy uniform data sample makes the physical and mathematical modeling of problem Rationalize.
4, the technical program determines the correct principle of indices according to electric automobile charging station evaluation index of the economic results system Think solution and minus ideal result.Positive ideal solution is the best values imagined, its each attribute is at least up to optimal in each evaluation object Value, correspondingly minus ideal result is the most bad value imagined, its each attribute is at least not better than the most bad value in each evaluation object, so The Weighted distance between each evaluation object and positive ideal solution, minus ideal result is found out afterwards, it follows that each evaluation object and positive ideal The degree of closeness of solution, the standard as evaluation object economic benefit superiority and inferiority.This method is to being evaluated the sample data of object without spy Different to require, theoretical clear, calculating is easy, can make full use of existing data information, be ranked up to the superiority and inferiority of evaluation object, As a result it more coincide with actual conditions.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
Technical solution of the present invention is described in further detail below in conjunction with Figure of description.
As shown in Figure 1, the present invention includes with step:
S1 electric automobile charging station evaluation index of the economic results system) is constructed;
The index of building: the charging station location density of population, charging station location total output value, charging station institute per capita In regional electric car quantity, the charging station quantity of charging station location corresponding types, charging station location policy per capita Excitation, location charging station sum, charging station location electric vehicle ownership, charging station location the type electric vehicle Accounting, charging station location accumulative investment benefit ratio, charging station location add up charge volume;
S2 dimensionless) is carried out to each index parameter in the electric automobile charging station evaluation index of the economic results system of building Change processing, and determine each index weights in assessment indicator system;
S3 positive ideal solution and minus ideal result) are determined;Using maximum value in each same class index for being evaluated object as just Ideal solution, minimum value is as minus ideal result;
S4) using different regions electric automobile charging station economic benefit as evaluation object, each evaluation object distance is being calculated just The distance of ideal solution and minus ideal result;
S5 each evaluation object) is calculated apart from positive ideal solution degree of closeness;
S6) using degree of closeness as comprehensive evaluation value, progress is integrated ordered, and the ground section electric car obtained from high to low fills Power station economic benefit ranking.
The present invention is described in detail with reference to embodiments.
The present invention provides a kind of method for evaluating electric automobile charging station economic benefit, comprising the following steps:
101, electric automobile charging station evaluation index of the economic results system is constructed;
Building index relevant to charging station operation economic benefit, comprising: the x1 charging station location density of population, it is single Position: people/square kilometre;The total output value per capita of x2 charging station location, unit: member;Electric car per capita where x3 charging station Quantity;The charging station quantity of x4 charging station location corresponding types;X5 charging station location Policy Encouraging (there is unlimited board, Limited board is set as 5, and unlimited board is set as 0, whether there is or not electric vehicle subsidies, has electric vehicle subsidy to be set as 5,0) no electric vehicle subsidy is set as; The location x6 charging station sum;X7 charging station location electric vehicle ownership;X8- charging station location the type is electronic Vehicle accounting;X9- charging station location accumulative investment benefit ratio;X10 charging station location adds up charge volume, unit: kwh.
xiFor i-th of index, totally 10 indexs
Each index has different values for different objects, and the electric car charging in each area is saved with certain For standing, it is divided into high speed electric vehicle charging station and city electric car charging station two types, specific data see the table below.
The each department table 1A electric automobile charging station evaluation index of the economic results data
The each department table 1B electric automobile charging station evaluation index of the economic results data
201, each index parameter in the electric automobile charging station evaluation index of the economic results system of building is carried out immeasurable Guiding principleization processing, and determine each index weights in assessment indicator system;
Nondimensionalization is carried out to each index parameter in the electric automobile charging station evaluation index of the economic results system of building Processing, processing method use range method, its calculation formula is:
xminFor all minimum values for being evaluated a certain index x in object, xmaxA certain index x in object is evaluated to be all Maximum value, zijFor i-th of evaluation object, j-th of indices non-dimension treated as a result, (i=1,2 ... 11, j= 1,2...10), that is, there are 11 evaluation objects, each evaluation object there are 10 indexs.
The each department table 2A electric automobile charging station evaluation index of the economic results dimensionless data
The each department table 2B electric automobile charging station evaluation index of the economic results dimensionless data
Area X1 X2 X3 X4 X5 X6 X7 X8 X9 X10
A 0.45498 1.00000 0.05366 0.52381 1.00000 1.00000 1.00000 1.00000 0.09600 1.00000
B 0.39790 0.36801 0.32043 0.90476 0.00000 0.03462 0.12483 0.53070 0.57855 0.00000
C 1.00000 0.50551 0.13611 0.90476 0.00000 0.06923 0.00902 0.61437 0.69078 0.00624
D 0.39147 0.20202 0.12576 0.61905 0.00000 0.03462 0.34133 0.63479 0.46128 0.01504
E 0.00000 0.07319 0.46048 0.52381 0.00000 0.17692 0.00000 0.47218 0.05981 0.19450
F 0.70597 0.87844 0.03321 0.80952 0.00000 0.03077 0.24435 0.65091 0.44429 0.00447
G 0.16878 0.00000 0.36924 1.00000 0.00000 0.10385 0.00604 0.00000 0.11996 0.11595
H 0.49047 0.61201 0.12928 0.42857 0.00000 0.03077 0.11952 0.84916 0.99999 0.00471
I 0.53565 0.23060 0.07263 0.42857 0.00000 0.03077 0.06221 0.77032 0.39707 0.01467
J 0.65324 0.07063 0.00000 0.28571 0.00000 0.00000 0.11400 0.79324 0.21261 0.01928
K 0.70147 0.64252 1.00000 0.00000 0.00000 0.30000 0.00877 0.22047 0.00001 0.02722
Determine each index weights in assessment indicator system, weight summation is 1, using method of expertise, carries out assignment, shape At the first weighted value, weight such as table 1 is assigned.
3 electric automobile charging station evaluation index of the economic results system weight of table
In order to improve the accuracy of calculating, the weight for obtaining each index is calculated according to historical data, to each index Weight carries out assignment, the second weighted value is formed, to be modified to according to the calculated result of the first weighted value.
xij=wj.zij
wjFor the weight of j-th of index;
zijFor i-th of evaluation object, j-th of indices non-dimension treated value;
xijFor i-th of evaluation object, j-th of Index Weights treated value.
301, positive ideal solution and minus ideal result are determined;
Using the maximum value for being evaluated object of each index as positive ideal solution, minimum value is as minus ideal result, this implementation It is 11 that object number is evaluated in example, i.e. j-th of index value of i evaluation object is xij
Here, m=11
The positive and negative ideal value of table 4A index
The positive and negative ideal value of table 4B index
Area Positive ideal value Negative ideal value
A 1 0.053662
B 0.904762 0
C 1.000004 0
D 0.634788 0
E 0.52381 0
F 0.87844 0
G 1 0
H 0.999994 0
I 0.770315 0
J 0.793235 0
K 1 0
401, distance of each evaluation object apart from positive ideal solution and minus ideal result is calculated;
Calculate distance of each evaluation object index apart from positive ideal solution and minus ideal result, calculation method are as follows:
(i=1,2 ... L, m)
Here, q is distance metric parameter, value 3
Table 5A index weighted normal value
Table 5B index weighted normal value
Table 6A index weighted normal value
Table 6B index weighted normal value
501, each evaluation object is calculated apart from positive ideal solution degree of closeness Ci
The close distance C of each evaluation object of table 7
601, it using degree of closeness C as comprehensive evaluation value, carries out integrated ordered.
The each Regional City table 8A and high speed electric vehicle charging station economic benefit are integrated ordered
Each regional electric automobile charging station (each Regional City and rapid charge station the are accumulative) economic benefit of table 8B is comprehensive Sequence
By table 48B, the economic benefit for each department charging and conversion electric facility operation for considering that multiple correlated inputs factors influence is obtained Sequence.
According to the above results, effective evaluation can be carried out to the height of each department electric automobile charging station economic benefit, it can be with To each department electric automobile charging station from Authorize to Invest until production and operation overall process carries out the analysis and summary of system, after being The Authorize to Invest of each department electric automobile charging station project and implementation provide reference guide.
Shown in figure 1 above it is a kind of evaluate electric automobile charging station economic benefit method be specific implementation of the invention Example, has embodied substantive distinguishing features of the present invention and progress, can be under the inspiration of the present invention, right according to actual using needs It carries out equivalent modifications, the column in the protection scope of this programme.

Claims (8)

1. a kind of method for evaluating electric automobile charging station economic benefit, it is characterised in that the following steps are included:
1) electric automobile charging station evaluation index of the economic results system is constructed;
The index of building includes: the charging station location density of population, charging station location total output value, charging station institute per capita In regional electric car quantity, the charging station quantity of charging station location corresponding types, charging station location policy per capita Excitation, location charging station sum, charging station location electric vehicle ownership, charging station location the type electric vehicle Accounting, charging station location accumulative investment benefit ratio, charging station location add up one or more of charge volume;
2) each index parameter in the electric automobile charging station evaluation index of the economic results system of building is carried out at nondimensionalization Reason, and determine each index weights in assessment indicator system;
3) positive ideal solution and minus ideal result are determined;Using maximum value in each same class index for being evaluated object as positive ideal Solution, minimum value is as minus ideal result;
4) using different regions electric automobile charging station economic benefit as evaluation object, each evaluation object is calculated apart from positive ideal solution With the distance of minus ideal result;
5) each evaluation object is calculated apart from positive ideal solution degree of closeness;
6) using degree of closeness as comprehensive evaluation value, progress is integrated ordered, obtains ground section electric automobile charging station from high to low Economic benefit ranking.
2. a kind of method for evaluating electric automobile charging station economic benefit according to claim 1, it is characterised in that: in step It is rapid 1) in, the index of building are as follows: the x1- charging station location density of population;The total output value per capita of x2- charging station location; X3- charging station location electric car quantity per capita;The charging station quantity of x4- charging station location corresponding types;X5- fills Power station location Policy Encouraging;The location x6- charging station sum;X7- charging station location electric vehicle ownership;x8- Charging station location the type electric vehicle accounting;X9- charging station location accumulative investment benefit ratio;Where x10- charging station The accumulative charge volume in area.
3. a kind of method for evaluating electric automobile charging station economic benefit according to claim 2, it is characterised in that: in step It is rapid 2) in, nondimensionalization processing method use range method, its calculation formula is:
xminFor all minimum values for being evaluated a certain index x in object, xmaxA certain index x is evaluated in object most to be all Big value, zijFor i-th of evaluation object, j-th of indices non-dimension treated result.
4. a kind of method for evaluating electric automobile charging station economic benefit according to claim 3, it is characterised in that: in step It is rapid 2) in, determine that the summation of each index weights in assessment indicator system is 1, calculated according to historical data and obtain each index Weight, or assignment is carried out to the weight of each index based on experience value;
xij=wj.zij
wjFor the weight of j-th of index;
zijFor i-th of evaluation object, j-th of indices non-dimension treated value;
xijFor i-th of evaluation object, j-th of Index Weights treated value.
5. a kind of method for evaluating electric automobile charging station economic benefit according to claim 4, it is characterised in that: according to Empirical value carries out assignment to the weight of each index, forms the first weighted value, and empirical value carries out assignment to the weight of each index Tax weight are as follows:
The weight for obtaining each index is calculated according to historical data, and assignment is carried out to the weight of each index, forms the second weight Value, to be modified to according to the calculated result of the first weighted value.
6. a kind of method for evaluating electric automobile charging station economic benefit according to claim 5, it is characterised in that: in step It is rapid 4) in, distance calculation formula of each evaluation object index apart from positive ideal solution and minus ideal result are as follows:
In formula:Be positive ideal solution,It is minimum value as minus ideal result;I=1,2 ... L, m;Q is distance metric parameter, is taken Value is 3.
7. a kind of method for evaluating electric automobile charging station economic benefit according to claim 6, it is characterised in that: in step It is rapid 5) in, each evaluation object is apart from positive ideal solution degree of closeness CiCalculation formula are as follows:
In formula: i=1,2 ... L, m.
8. a kind of method for evaluating electric automobile charging station economic benefit according to claim 7, it is characterised in that: charging The type for quantity of standing is divided into high speed electric vehicle charging station and city electric car charging station.
CN201811409862.4A 2018-11-23 2018-11-23 A method of evaluation electric automobile charging station economic benefit Pending CN109544006A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811409862.4A CN109544006A (en) 2018-11-23 2018-11-23 A method of evaluation electric automobile charging station economic benefit

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811409862.4A CN109544006A (en) 2018-11-23 2018-11-23 A method of evaluation electric automobile charging station economic benefit

Publications (1)

Publication Number Publication Date
CN109544006A true CN109544006A (en) 2019-03-29

Family

ID=65849464

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811409862.4A Pending CN109544006A (en) 2018-11-23 2018-11-23 A method of evaluation electric automobile charging station economic benefit

Country Status (1)

Country Link
CN (1) CN109544006A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110222945A (en) * 2019-05-14 2019-09-10 国网浙江电动汽车服务有限公司 A kind of electric vehicle green emission reduction index evaluation method
CN110334903A (en) * 2019-05-29 2019-10-15 河北科技大学 Electric car charging schedule method based on knapsack algorithm
CN110675083A (en) * 2019-10-08 2020-01-10 国家计算机网络与信息安全管理中心 Comprehensive recommendation method and device in scientific and technological field
CN112132393A (en) * 2019-11-25 2020-12-25 深圳供电局有限公司 Charging station quantization system
CN112561337A (en) * 2020-12-16 2021-03-26 北京明略软件系统有限公司 Method and device for determining object type
CN113222473A (en) * 2021-06-04 2021-08-06 国网浙江省电力有限公司杭州供电公司 Power grid load adjustment method and device based on power brain center

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107025518A (en) * 2017-03-20 2017-08-08 中国电力科学研究院 A kind of electric automobile charging station method and device for planning

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107025518A (en) * 2017-03-20 2017-08-08 中国电力科学研究院 A kind of electric automobile charging station method and device for planning

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
ZHAI YAN等: "The application of TOPSIS in the study of the comprehensive performance of lithium-ion power battery", 《2014 IEEE CONFERENCE AND EXPO TRANSPORTATION ELECTRIFICATION ASIA-PACIFIC (ITEC ASIA-PACIFIC)》 *
张伟: "基于组合评价法的电动汽车充电站运营服务综合评价建模研究", 《中国优秀硕士学位论文全文数据库》 *
张福伟等: "基于改进TOPSIS法的智能电网综合效益评价", 《华北电力大学学报(社会科学版)》 *
李泽森等: "电动汽车发展状况评价研究", 《现代商贸工业》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110222945A (en) * 2019-05-14 2019-09-10 国网浙江电动汽车服务有限公司 A kind of electric vehicle green emission reduction index evaluation method
CN110222945B (en) * 2019-05-14 2023-08-22 国网浙江电动汽车服务有限公司 Green emission reduction index estimation method for electric vehicle
CN110334903A (en) * 2019-05-29 2019-10-15 河北科技大学 Electric car charging schedule method based on knapsack algorithm
CN110334903B (en) * 2019-05-29 2023-04-25 河北科技大学 Electric automobile charging scheduling method based on knapsack algorithm
CN110675083A (en) * 2019-10-08 2020-01-10 国家计算机网络与信息安全管理中心 Comprehensive recommendation method and device in scientific and technological field
CN112132393A (en) * 2019-11-25 2020-12-25 深圳供电局有限公司 Charging station quantization system
CN112561337A (en) * 2020-12-16 2021-03-26 北京明略软件系统有限公司 Method and device for determining object type
CN113222473A (en) * 2021-06-04 2021-08-06 国网浙江省电力有限公司杭州供电公司 Power grid load adjustment method and device based on power brain center
CN113222473B (en) * 2021-06-04 2023-04-18 国网浙江省电力有限公司杭州供电公司 Power grid load adjustment method and device based on power brain center

Similar Documents

Publication Publication Date Title
CN109544006A (en) A method of evaluation electric automobile charging station economic benefit
CN103903073B (en) A kind of micro-capacitance sensor Method for optimized planning containing distributed power source and energy storage and system
CN109447510B (en) SCUC-based medium and long term electric quantity safety checking method, device and system
CN105787588B (en) Dynamic peak-valley time-of-use electricity price method for improving new energy consumption capability
CN105389636A (en) Low-voltage area KFCM-SVR reasonable line loss prediction method
CN109193748B (en) Evaluation method and computing device for photovoltaic absorption capacity
CN112671831B (en) Multistage application system for digital intelligent heat supply platform of large group company
CN109872012A (en) Based on the determination method for thermal power plant's operation multiple-objection optimization that operating condition divides
CN106097055A (en) Enterprise order processing method under personalized customization demand
CN106529737A (en) Planning and distribution method for peak load regulation power source on supply side of power distribution network
CN101916313A (en) Function optimization method for city water-supply pipe network
CN109359847A (en) A kind of quantitative analysis method of Line Loss of Distribution Network System influence factor
CN109754119B (en) Floyd algorithm-based electric vehicle charging and changing service network optimization planning method
CN111091301A (en) Optimization method for provincial power grid sustainable development strategy
CN113887809A (en) Power distribution network supply and demand balance method, system, medium and computing equipment under double-carbon target
CN105117859A (en) Electric power development level general evaluation method based on IOWA operator
CN117372034A (en) New energy-containing power system carbon emission reduction scheme evaluation method
CN105224993A (en) A kind of substation planning method optimized power distribution network and run
CN114597958B (en) Method for developing clean energy utilization by depending on electric power data
CN116167644A (en) Evaluation index method for novel zero-carbon power system at distribution network side
CN111027017B (en) Comprehensive evaluation system for management state of power distribution network
CN114004525A (en) Electric energy substitution benefit evaluation method facing user side based on fuzzy comprehensive evaluation method
CN113902167A (en) Comprehensive intelligent energy system configuration optimization method and device considering station house investment
Zhang et al. Optimal allocation of changing station for electric vehicle based on queuing theory
CN118171788B (en) Collaborative optimization method for schedulable flexible resources and power grid planning layout

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190329