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 PDFInfo
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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
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:
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:
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: :
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:
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:
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:
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:
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:
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:
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:
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: :
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:
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:
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:
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:
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:
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: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:
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:
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:
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: :
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:
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:
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:
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:
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。
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.
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Citations (9)
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 |
-
2020
- 2020-10-16 CN CN202011107601.4A patent/CN112258007B/en active Active
Patent Citations (9)
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 |
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