CN112258007A - Distribution transformer capacity-based method for quantizing synchronous line loss cost of power distribution network - Google Patents

Distribution transformer capacity-based method for quantizing synchronous line loss cost of power distribution network Download PDF

Info

Publication number
CN112258007A
CN112258007A CN202011107601.4A CN202011107601A CN112258007A CN 112258007 A CN112258007 A CN 112258007A CN 202011107601 A CN202011107601 A CN 202011107601A CN 112258007 A CN112258007 A CN 112258007A
Authority
CN
China
Prior art keywords
line
capacity
loss
annual
distribution
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.)
Granted
Application number
CN202011107601.4A
Other languages
Chinese (zh)
Other versions
CN112258007B (en
Inventor
李玮
高璐
秦知航
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.)
Beijing State Grid Information Telecommnication Group Accenture Information Technology Co ltd
State Grid Corp of China SGCC
Wuhan Power Supply Co of State Grid Hubei Electric Power Co Ltd
Original Assignee
Beijing State Grid Information Telecommnication Group Accenture Information Technology Co ltd
State Grid Corp of China SGCC
Wuhan Power Supply Co of State Grid Hubei Electric Power 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 Beijing State Grid Information Telecommnication Group Accenture Information Technology Co ltd, State Grid Corp of China SGCC, Wuhan Power Supply Co of State Grid Hubei Electric Power Co Ltd filed Critical Beijing State Grid Information Telecommnication Group Accenture Information Technology Co ltd
Priority to CN202011107601.4A priority Critical patent/CN112258007B/en
Publication of CN112258007A publication Critical patent/CN112258007A/en
Application granted granted Critical
Publication of CN112258007B publication Critical patent/CN112258007B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • 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

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Data Mining & Analysis (AREA)
  • Tourism & Hospitality (AREA)
  • Computational Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Mathematical Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Mathematical Optimization (AREA)
  • Operations Research (AREA)
  • Algebra (AREA)
  • Game Theory and Decision Science (AREA)
  • Water Supply & Treatment (AREA)
  • Development Economics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Educational Administration (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Primary Health Care (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a distribution network synchronization line loss cost quantification method of distribution transformer capacity, which comprises the following steps: (1) acquiring basic information of each line in a target area; (2) eliminating a user special line, a line with large line loss deviation and a standby line to obtain a sample line; (3) calculating annual line loss capacity of each line unit capacity in the sample line by adopting the equivalent distribution capacity; (4) calculating the annual utilization hours of each line in the sample line; (5) calculating a reduced annual line loss rate according to the average annual line loss per unit capacity in the step (3) and the annual power supply amount of 1MVA capacity in the step (4), and calculating the cost of the annual line loss per unit capacity according to the average annual line loss per unit capacity in the step (3) and the purchase cost of each degree of electricity. The line loss cost quantification method provided by the invention is used for calculating the cost of annual line loss electricity quantity of unit capacity so as to facilitate evaluation, comparison and selection of power grid enterprises and provide a basis for planning accurate investment of a power distribution network.

Description

Distribution transformer capacity-based method for quantizing synchronous line loss cost of power distribution network
Technical Field
The invention relates to the technical field of electric power, in particular to a distribution network synchronization line loss cost quantification method based on distribution transformer capacity.
Background
The distribution network in China has more nodes, more branch lines and more elements, and the construction investment of the distribution network is continuously increased along with the continuous and stable growth of economy and the transformation development of energy sources in China, so that the significance of improving the accurate investment of the distribution network is great.
For users receiving power services, voltage yield, contemporaneous line loss, and power supply reliability are the most fundamental service requirements. The investment planning of the power grid enterprise needs to be carried out according to the service requirements, and an investment construction plan is compiled, so that the cost quantification of the synchronous line loss is lacked, the investment requirements of the power grid enterprise are not evaluated, and the accurate investment of the power distribution network planning is difficult to realize.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a distribution network synchronization line loss cost quantification method based on distribution transformer capacity, which comprises the following steps:
(1) acquiring basic information of each line in a target area through a power grid database platform;
(2) eliminating a user special line, a line with large line loss deviation and a standby line to obtain a sample line;
(3) calculating the annual line loss electric quantity of each line unit capacity in the sample line by adopting the equivalent distribution variable capacity, and calculating the average annual line loss electric quantity of each line unit capacity according to the annual line loss electric quantity of each line unit capacity;
(4) calculating the annual utilization hours of each line in the sample line, calculating the average annual utilization hours of the sample line according to the annual utilization hours of each line, and calculating the annual power supply quantity with the capacity of 1MVA according to the average annual utilization hours;
(5) calculating a reduced annual line loss rate according to the average annual line loss per unit capacity in the step (3) and the annual power supply amount of 1MVA capacity in the step (4), and calculating the cost of the annual line loss per unit capacity according to the average annual line loss per unit capacity in the step (3) and the purchase cost of each degree of electricity.
Further, the power grid database platform in the step (1) comprises a PMS2.0 system, an EMS system, a DMS system, a PIS2.0 system and a contemporaneous line loss system; the basic information comprises a line name, line properties, line length, the number of distribution transformer stations and corresponding distribution transformer capacity, distribution transformer total amount, public-private transformer ratio, monthly line loss electric quantity and monthly power supply electric quantity.
Further, the method for determining the line with the large line loss deviation in step (2) is as follows: a. calculating the monthly line loss rate of each line in the target area in each month in a one-year statistical period, if the monthly line loss rate is higher than an index required value, judging the line as a high-loss line, and if the monthly line loss rate is less than 0%, judging the line as a negative-loss line; b. and if a certain line is judged to be one of the high-line-loss line and the negative-loss line within the one-year counting period for more than 3 months or within 5 months, judging that the line is the line with large line loss deviation.
Further, the equivalent transformation capacity P of the ith line in the sample lines in step (3)EiThe calculation formula of (2) is as follows:
Figure BDA0002727494710000021
wherein n is the number of distribution transformers sequentially arranged on the ith line along the line length, m is the number of lines in the sample line, PijThe distribution capacity of the j station distribution on the ith line is represented by K which is a weight coefficient and is expressed as follows:
Figure BDA0002727494710000022
the annual line power loss amount per unit capacity Δ E of the ith line in the sample lines in step (3)UiThe calculation formula of (2) is as follows: :
Figure BDA0002727494710000023
where m is the number of lines in the sample line, Δ EijThe power loss is the monthly line power loss of the ith line in the jth month;
average annual line power loss Delta E of m lines in sample lines in step (3)AThe calculation formula of (2) is as follows:
Figure BDA0002727494710000031
further, the annual utilization hours H of the ith line in the sample line in the step (4)UiThe calculation formula of (2) is as follows:
Figure BDA0002727494710000032
where m is the number of lines in the sample line, EijFor the month of the j month of the ith line, PAiThe average distribution capacity of the distribution transformer installed on the ith line is calculated according to the following formula:
Figure BDA0002727494710000033
where m is the number of lines in the sample line, n is the number of distribution transformers mounted in sequence along the length of the line, PijDistributing capacity of the j station on the ith line;
average annual utilization hours H of m lines within the sample line in step (4)AThe calculation formula of (2) is as follows:
Figure BDA0002727494710000034
annual power supply amount E of distribution transformation with capacity of 1MVA in step (4)AThe calculation formula of (2) is as follows:
EA=1MVA×HA
further, the reduced annual line loss rate η in the step (5)CThe calculation formula of (2) is as follows:
Figure BDA0002727494710000035
further, the cost C of annual line loss per unit capacity in the step (5)UThe calculation formula of (2) is as follows:
CU=C×ΔEA
wherein C is the purchase cost per degree of electricity.
The line loss cost quantification method provided by the invention is suitable for the electricity load characteristics which are mainly used by residents and businesses and are assisted by general industrial manufacturing industry. The method adopts the branch line loss in the four-branch line loss as a research core, acquires the basic information of each line in a target area through a power grid database platform, discharges the special line of a user, the line with larger line loss deviation and a spare line, obtains a sample line with quantized line loss cost, calculates the average annual line loss capacity of the sample line by adopting equivalent distribution variable capacity, calculates the average annual utilization hours of the sample line, and further calculates the cost of the annual line loss rate of the reduced year and the annual line loss capacity of the unit capacity, so that a power grid enterprise can evaluate, compare and select the cost, and provide a basis for planning accurate investment of the power distribution network.
Drawings
Fig. 1 is a flowchart of a distribution network contemporaneous line loss cost quantification method based on distribution transformer capacity provided by the invention;
fig. 2 is a line loss power distribution diagram per unit capacity of each line in a sample line of a wuhan chaos port region provided by the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, the present invention provides a distribution network contemporaneous line loss cost quantization method based on distribution transformer capacity, which includes the following steps:
(1) acquiring basic information of each line in a target area through a power grid database platform;
(2) eliminating a user special line, a line with large line loss deviation and a standby line to obtain a sample line;
(3) calculating the annual line loss electric quantity of each line unit capacity in the sample line by adopting the equivalent distribution variable capacity, and calculating the average annual line loss electric quantity of each line unit capacity according to the annual line loss electric quantity of each line unit capacity;
(4) calculating the annual utilization hours of each line in the sample line, calculating the average annual utilization hours of the sample line according to the annual utilization hours of each line, and calculating the annual power supply quantity with the capacity of 1MVA according to the average annual utilization hours;
(5) calculating a reduced annual line loss rate according to the average annual line loss per unit capacity in the step (3) and the annual power supply amount of 1MVA capacity in the step (4), and calculating the cost of the annual line loss per unit capacity according to the average annual line loss per unit capacity in the step (3) and the purchase cost of each degree of electricity.
Further, the power grid database platform in the step (1) comprises a PMS2.0 system, an EMS system, a DMS system, a PIS2.0 system and a contemporaneous line loss system; the basic information comprises a line name, line properties, line length, the number of distribution transformer stations and corresponding distribution transformer capacity, distribution transformer total amount, public-private transformer ratio, monthly line loss electric quantity and monthly power supply electric quantity. The subscriber private line and the standby line in the step (2) can be known from the line properties.
Further, the method for determining the line with the large line loss deviation in step (2) is as follows: a. calculating the monthly line loss rate of each line in the target area in each month in a one-year statistical period, if the monthly line loss rate is higher than an index required value, judging the line as a high-loss line, and if the monthly line loss rate is less than 0%, judging the line as a negative-loss line; b. and if a certain line is judged to be one of the high-line-loss line and the negative-loss line within the one-year counting period for more than 3 months or within 5 months, judging that the line is the line with large line loss deviation. The line with large line loss deviation often has the problems of wrong station-to-user relationship or measuring equipment failure and the like, and is not suitable to be used as a credible sample.
Further, the equivalent transformation capacity P of the ith line in the sample lines in step (3)EiThe calculation formula of (2) is as follows:
Figure BDA0002727494710000051
wherein n is the number of distribution transformers sequentially arranged on the ith line along the line length, m is the number of lines in the sample line, PijThe distribution capacity of the j station distribution on the ith line is represented by K which is a weight coefficient and is expressed as follows:
Figure BDA0002727494710000052
the annual line power loss amount per unit capacity Δ E of the ith line in the sample lines in step (3)UiThe calculation formula of (2) is as follows: :
Figure BDA0002727494710000053
where m is the number of lines in the sample line, Δ EijThe power loss is the monthly line power loss of the ith line in the jth month;
average annual line power loss Delta E of m lines in sample lines in step (3)AIs calculated byComprises the following steps:
Figure BDA0002727494710000061
further, the annual utilization hours H of the ith line in the sample line in the step (4)UiThe calculation formula of (2) is as follows:
Figure BDA0002727494710000062
where m is the number of lines in the sample line, EijFor the month of the j month of the ith line, PAiThe average distribution capacity of the distribution transformer installed on the ith line is calculated according to the following formula:
Figure BDA0002727494710000063
where m is the number of lines in the sample line, n is the number of distribution transformers mounted in sequence along the length of the line, PijDistributing capacity of the j station on the ith line;
average annual utilization hours H of m lines within the sample line in step (4)AThe calculation formula of (2) is as follows:
Figure BDA0002727494710000064
annual power supply amount E of distribution transformation with capacity of 1MVA in step (4)AThe calculation formula of (2) is as follows:
EA=1MVA×HA
further, the reduced annual line loss rate η in the step (5)CThe calculation formula of (2) is as follows:
Figure BDA0002727494710000071
go toStep (5), the cost C of annual line loss per unit capacity in the step (5)UThe calculation formula of (2) is as follows:
CU=C×ΔEA
wherein C is the purchase cost per degree of electricity.
By adopting the line loss cost quantification method, the invention selects a Wuhan chaos demonstration area as the target area, and the area accords with the electrical load characteristics which are mainly used by residents and businesses and are assisted by general industrial manufacturing industry. 135 lines of 10KV in the Wuhan chaos demonstration area are provided, and the basic information of the 135 lines of 1-12 months in 2018 is collected from the power grid database platform.
Then, the subscriber line, the line with large line loss deviation and the spare line are excluded to obtain 49 sample lines, and the percentage of the selected 49 sample lines in the total line is 36.3%, so that the chaos model study range of Wuhan can be completely covered.
Then, calculating the annual line loss electric quantity of each line unit capacity in 49 sample lines, wherein each line corresponds to one annual line loss electric quantity of each unit capacity; then arranging 49 lines according to the sequence of the total distribution and transformation amount of the lines from small to large, sequentially naming the 49 lines as a line 1, a line 2 and a line …, wherein the total distribution and transformation amount of the line 2 is greater than that of the line 1, the total distribution and transformation amount of the line 3 is greater than that of the line 2, and so on, the total distribution and transformation amount of the line 49 is greater than that of the line 48, and then generating a annual line power loss distribution diagram of unit capacity of the lines 1 to 49, as shown in fig. 2; as can be seen from fig. 2, the annual line loss capacity per unit capacity of the remaining lines substantially conforms to the normal distribution, except for the line 8 having a sudden change in line loss. The average annual capacity power loss per unit volume of 49 sample lines was 83000KWh/MVA, and it is understood that the average annual capacity power loss per unit volume of 1MVA was 83000 KWh; the average annual utilization hours of 49 sample lines is 2000 hours, the annual utilization hours of the power grid conforming to the resident and industrial and commercial are 1500-3500 hours, and the annual power supply quantity of 1MVA capacity is2 multiplied by 106KWh, then the reduced annual line loss rate is:
Figure BDA0002727494710000072
belonging to the normal range of line loss. The procurement electricity price of the Wuhan power supply company is 0.389 yuan/KWh, and then the cost of the annual line loss electricity quantity of unit capacity is as follows:
Figure BDA0002727494710000073
while embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (7)

1. A distribution network synchronization line loss cost quantification method based on distribution transformation capacity is characterized by comprising the following steps:
(1) acquiring basic information of each line in a target area through a power grid database platform;
(2) eliminating a user special line, a line with large line loss deviation and a standby line to obtain a sample line;
(3) calculating the annual line loss electric quantity of each line unit capacity in the sample line by adopting the equivalent distribution variable capacity, and calculating the average annual line loss electric quantity of each line unit capacity according to the annual line loss electric quantity of each line unit capacity;
(4) calculating the annual utilization hours of each line in the sample line, calculating the average annual utilization hours of the sample line according to the annual utilization hours of each line, and calculating the annual power supply quantity with the capacity of 1MVA according to the average annual utilization hours;
(5) calculating a reduced annual line loss rate according to the average annual line loss per unit capacity in the step (3) and the annual power supply amount of 1MVA capacity in the step (4), and calculating the cost of the annual line loss per unit capacity according to the average annual line loss per unit capacity in the step (3) and the purchase cost of each degree of electricity.
2. The distribution-transformation-capacity-based distribution network contemporaneous line loss cost quantization method of claim 1, wherein the power network database platform in step (1) comprises a PMS2.0 system, an EMS system, a DMS system, a PIS2.0 system, a contemporaneous line loss system; the basic information comprises a line name, line properties, line length, the number of distribution transformer stations and corresponding distribution transformer capacity, distribution transformer total amount, public-private transformer ratio, monthly line loss electric quantity and monthly power supply electric quantity.
3. The distribution-transformation-capacity-based power distribution network contemporaneous line loss cost quantification method according to claim 2, wherein the method for determining the line with the larger line loss deviation in the step (2) is as follows: a. calculating the monthly line loss rate of each line in the target area in each month in a one-year statistical period, if the monthly line loss rate is higher than an index required value, judging the line as a high-loss line, and if the monthly line loss rate is less than 0%, judging the line as a negative-loss line; b. and if a certain line is judged to be one of the high-line-loss line and the negative-loss line within the one-year counting period for more than 3 months or within 5 months, judging that the line is the line with large line loss deviation.
4. The distribution-transformation-capacity-based power distribution network contemporaneous line loss cost quantification method according to claim 2, characterized in that the equivalent distribution transformation capacity P of the ith line in the sample lines in the step (3)EiThe calculation formula of (2) is as follows:
Figure FDA0002727494700000011
wherein n is the number of distribution transformers sequentially arranged on the ith line along the line length, m is the number of lines in the sample line, PijThe distribution capacity of the j station distribution on the ith line is represented by K which is a weight coefficient and is expressed as follows:
Figure FDA0002727494700000021
the annual line power loss amount per unit capacity Δ E of the ith line in the sample lines in step (3)UiIs calculated byThe formula is as follows: :
Figure FDA0002727494700000022
where m is the number of lines in the sample line, Δ EijThe power loss is the monthly line power loss of the ith line in the jth month;
average annual line power loss Delta E of m lines in sample lines in step (3)AThe calculation formula of (2) is as follows:
Figure FDA0002727494700000023
5. the distribution-transformation-capacity-based distribution network contemporaneous line loss cost quantification method according to claim 4, wherein the number H of annual utilization hours of the ith line in the sample line in the step (4)UiThe calculation formula of (2) is as follows:
Figure FDA0002727494700000024
where m is the number of lines in the sample line, EijFor the month of the j month of the ith line, PAiThe average distribution capacity of the distribution transformer installed on the ith line is calculated according to the following formula:
Figure FDA0002727494700000025
where m is the number of lines in the sample line, n is the number of distribution transformers mounted in sequence along the length of the line, PijDistributing capacity of the j station on the ith line;
average annual utilization hours H of m lines within the sample line in step (4)AThe calculation formula of (2) is as follows:
Figure FDA0002727494700000031
annual power supply amount E of distribution transformation with capacity of 1MVA in step (4)AThe calculation formula of (2) is as follows:
EA=1MVA×HA
6. the distribution-transformation-capacity-based power distribution network contemporaneous line loss cost quantification method according to claim 5, wherein the reduced annual line loss rate η in the step (5)CThe calculation formula of (2) is as follows:
Figure FDA0002727494700000032
7. the distribution-transformation-capacity-based power distribution network contemporaneous line loss cost quantification method according to claim 4, wherein the cost C of annual line loss electricity per unit capacity in the step (5)UThe calculation formula of (2) is as follows:
CU=C×ΔEA
wherein C is the purchase cost per degree of electricity.
CN202011107601.4A 2020-10-16 2020-10-16 Power distribution network synchronous line loss cost quantification method based on distribution transformer capacity Active CN112258007B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011107601.4A CN112258007B (en) 2020-10-16 2020-10-16 Power distribution network synchronous line loss cost quantification method based on distribution transformer capacity

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011107601.4A CN112258007B (en) 2020-10-16 2020-10-16 Power distribution network synchronous line loss cost quantification method based on distribution transformer capacity

Publications (2)

Publication Number Publication Date
CN112258007A true CN112258007A (en) 2021-01-22
CN112258007B CN112258007B (en) 2023-11-10

Family

ID=74243772

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011107601.4A Active CN112258007B (en) 2020-10-16 2020-10-16 Power distribution network synchronous line loss cost quantification method based on distribution transformer capacity

Country Status (1)

Country Link
CN (1) CN112258007B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101958544A (en) * 2010-08-11 2011-01-26 金华电业局 System and method for calculating line loss rate of electric power distribution line
CN102033999A (en) * 2010-12-10 2011-04-27 天津天大求实电力新技术股份有限公司 Load distribution based method for calculating recently planned annual line loss of medium-voltage distribution network
CN103995962A (en) * 2014-05-06 2014-08-20 国家电网公司 Online real-time calculation and analysis method of equipped wire loss
CN104200302A (en) * 2014-08-04 2014-12-10 国家电网公司 Technical framework and method for power enterprise simultaneous line loss management
CN105260946A (en) * 2015-10-13 2016-01-20 国家电网公司 Low-voltage same-period line loss statistical method
CN107294081A (en) * 2016-04-05 2017-10-24 国家电网公司 The correlation of line loss per unit influence factor determines method
CN108573350A (en) * 2018-04-19 2018-09-25 国网湖北省电力有限公司电力科学研究院 A kind of matching net wire loss synchronization calculates and multidimensional analysis method
CN111478311A (en) * 2019-01-23 2020-07-31 国网甘肃省电力公司电力科学研究院 Line loss calculation method and system for any partition of power grid
CN111639783A (en) * 2020-04-17 2020-09-08 中国电力科学研究院有限公司 Line loss prediction method and system based on LSTM neural network

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101958544A (en) * 2010-08-11 2011-01-26 金华电业局 System and method for calculating line loss rate of electric power distribution line
CN102033999A (en) * 2010-12-10 2011-04-27 天津天大求实电力新技术股份有限公司 Load distribution based method for calculating recently planned annual line loss of medium-voltage distribution network
CN103995962A (en) * 2014-05-06 2014-08-20 国家电网公司 Online real-time calculation and analysis method of equipped wire loss
CN104200302A (en) * 2014-08-04 2014-12-10 国家电网公司 Technical framework and method for power enterprise simultaneous line loss management
CN105260946A (en) * 2015-10-13 2016-01-20 国家电网公司 Low-voltage same-period line loss statistical method
CN107294081A (en) * 2016-04-05 2017-10-24 国家电网公司 The correlation of line loss per unit influence factor determines method
CN108573350A (en) * 2018-04-19 2018-09-25 国网湖北省电力有限公司电力科学研究院 A kind of matching net wire loss synchronization calculates and multidimensional analysis method
CN111478311A (en) * 2019-01-23 2020-07-31 国网甘肃省电力公司电力科学研究院 Line loss calculation method and system for any partition of power grid
CN111639783A (en) * 2020-04-17 2020-09-08 中国电力科学研究院有限公司 Line loss prediction method and system based on LSTM neural network

Also Published As

Publication number Publication date
CN112258007B (en) 2023-11-10

Similar Documents

Publication Publication Date Title
CN108876131B (en) Reserve project optimization method based on power grid effect contribution degree
CN103942727B (en) A kind of line loss level evaluation method based on power grid feature difference
CN108520330B (en) Power distribution network medium-voltage line differentiation planning method considering load prediction error uncertainty
CN105096207B (en) Important power user power supply reliability assessment method based on analytic hierarchy process
CN111680084A (en) Line loss calculation method based on multi-source data fusion
CN108631295A (en) The online accurate calculation system of theory wire loss of measured data
CN103236023B (en) A kind of acquisition methods of the AC-HVDC scope of application
CN112751326B (en) Technical economy assessment method for medium-low voltage direct current power distribution and utilization system
CN104376207A (en) Power distribution network alternating current transmission loss computing and parameter estimation method
CN102856896B (en) On-line analytical method for direct-current transmission loss
CN111293692B (en) Optimization method for reducing line loss of power distribution network
Wang et al. A two-step load disaggregation algorithm for quasi-static time-series analysis on actual distribution feeders
CN108490285B (en) Low-voltage transformer area line loss rate calculation method based on voltage drop method
CN112052601B (en) Optimal fraction radar chart-based power transmission and distribution network voltage sequence optimization method
CN112633605A (en) Urban distribution network planning method
CN112258007A (en) Distribution transformer capacity-based method for quantizing synchronous line loss cost of power distribution network
CN107767060B (en) Theoretical line loss calculation system and method for distribution network line
Yin et al. Global configuration strategy of SAPFs combined with comprehensive evaluation of power quality in distribution network
CN114462811A (en) Economic operation evaluation method of distribution transformer based on intelligent fusion terminal
CN112232667A (en) Load moment-based method for quantizing cost of synchronous line loss of power distribution network
Cataliotti et al. Measurement uncertainty impact on simplified load flow analysis in MV smart grids
CN113447751A (en) Method for calculating reasonable line loss rate of low-voltage transformer area
CN108846553B (en) Transmission and distribution network coordination evaluation system and method based on typical grid structure
Ye et al. Assessment of the voltage level and losses with photovoltaic and electric vehicle in low voltage network
CN112149057A (en) Method for calculating technical line loss based on load curve

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant