CN113627028B - Loss reduction planning method based on quartile load distribution - Google Patents
Loss reduction planning method based on quartile load distribution Download PDFInfo
- Publication number
- CN113627028B CN113627028B CN202110961929.0A CN202110961929A CN113627028B CN 113627028 B CN113627028 B CN 113627028B CN 202110961929 A CN202110961929 A CN 202110961929A CN 113627028 B CN113627028 B CN 113627028B
- Authority
- CN
- China
- Prior art keywords
- load
- distribution
- power supply
- loss reduction
- loss
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000009467 reduction Effects 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000013439 planning Methods 0.000 title claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 230000036541 health Effects 0.000 claims abstract description 7
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 14
- 229910052742 iron Inorganic materials 0.000 claims description 7
- 239000004020 conductor Substances 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 3
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims description 2
- 229910052802 copper Inorganic materials 0.000 claims description 2
- 239000010949 copper Substances 0.000 claims description 2
- IYRDVAUFQZOLSB-UHFFFAOYSA-N copper iron Chemical compound [Fe].[Cu] IYRDVAUFQZOLSB-UHFFFAOYSA-N 0.000 claims description 2
- 238000012797 qualification Methods 0.000 claims description 2
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 238000013024 troubleshooting Methods 0.000 claims 1
- 238000005457 optimization Methods 0.000 abstract description 6
- 238000013433 optimization analysis Methods 0.000 abstract description 4
- 230000008569 process Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 238000012300 Sequence Analysis Methods 0.000 description 2
- 238000010845 search algorithm Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000001364 causal effect Effects 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 238000012731 temporal analysis Methods 0.000 description 1
- 238000000700 time series analysis Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to the technical field of power distribution networks, and provides a loss reduction planning method based on quartile load distribution. Based on a wiring theory line loss digital model, file parameters, topology data and operation data are included, and based on a quartile method and topology depth-first search, planarization distribution analysis of wiring public-private variable load space-time distribution is realized, so that powerful auxiliary reference is provided for scientifically and visually reducing loss planning; the loss reduction potential points are analyzed in an auxiliary mode through differential energy efficiency evaluation and wiring health indexes, the conventional loss reduction measure intelligent analysis is realized by using a loss reduction expert experience library, the loss reduction optimization analysis of distributed power supplies and load cut-off is performed deeply, and a first-line strategy optimization scheme and a regional optimization scheme are provided for source-end business departments in a 'digital' mode. The problem of the distribution network loss reduction method in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a loss reduction planning method based on quartered load distribution.
Background
The line loss and the line loss rate are important indexes for reflecting the operation of the power distribution network and are often used as assessment or peer-to-peer comparison indexes for power grid enterprises. However, due to great differences in line layout, load characteristics, load distribution, power supply radius and the like of the feeder lines, the method of adopting uniform line loss or line loss rate as an assessment or comparison target is not scientific enough. For the situations of short power supply radius, more main branches or concentrated load mainly in the first section of the feeder line, a relatively low line loss or line loss rate index is easier to obtain, but the level of operation management may not be reflected, because a larger loss reduction potential may be provided. In the case of a long power supply radius, a few main branches or a load concentrated mainly at the feeder tip, even if the level of operation management is high, and the loss reduction potential is fully exploited, the line loss or the line loss rate index may still be relatively high.
Disclosure of Invention
The invention provides a loss reduction planning method based on quartered load distribution, which solves the problem that the loss reduction method of a power distribution network cannot be poor in effect in the prior art.
The technical scheme of the invention is as follows:
a loss reduction planning method based on quartile load distribution comprises the following steps,
s100: acquiring a wiring theoretical line loss digital model, wherein the wiring theoretical line loss digital model comprises file parameters, topology data and operation data, and the file parameters comprise the length of a power supply line;
s200: the topology depth priority algorithm is called, the length of a power supply line is combined, the power supply radius of the transformer substation is output, and the power supply radius is the length of the line between the outlet of a power supply point of the transformer substation and the farthest load of power supply of the transformer substation;
s300: carrying out plane load division on the power supply radius by adopting quartiles, carrying out quartile load distribution analysis on the power supply radius, calling a topology depth priority algorithm, and calculating to obtain distribution quartile load distribution, public-private transformer load plane position distribution and distributed power supply distribution;
s400: dividing the distribution line four-bit load distribution, the public-private power-transformation load plane position distribution and the distributed power distribution according to 24-point time sequences to obtain time-sequence distribution line four-bit load distribution display, time-sequence public-private power-transformation load plane position distribution display and distributed power distribution display;
s500: the method comprises the steps of obtaining an expert experience library, wherein the expert experience library comprises a plurality of standard values of lead type selection, distribution transformer type selection and distribution transformer economic operation;
s600: performing differential energy efficiency evaluation and health index evaluation on the power supply line, primarily analyzing loss reduction potential points to obtain conventional loss reduction measure intelligent analysis, and realizing distributed power supply access analysis and load switching power grid reconstruction analysis by utilizing quartile load distribution analysis and combining the current power grid planning situation;
s700: combining the multidimensional evaluation and the loss reduction auxiliary decision to output a first-line strategy loss reduction planning scheme; the four-bit load distribution and the differential energy efficiency evaluation of the power supply area are further combined, the power supply area iron loss reduction and load switching power grid reconstruction analysis is mainly used, the distributed power supply access analysis is used as an auxiliary, and the area loss reduction planning scheme is output.
The working principle and the beneficial effects of the invention are as follows:
the method utilizes the quaternary bit time sequence analysis and the optimization analysis of the distribution network load distribution rationality and loss reduction planning based on the topological depth-first search. Based on a wiring theory line loss digital model, file parameters, topology data and operation data are included, and based on a quartile method and topology depth-first search, planarization distribution analysis of wiring public-private variable load space-time distribution is realized, so that powerful auxiliary reference is provided for scientifically and visually reducing loss planning; the loss reduction potential points are analyzed in an auxiliary mode through differential energy efficiency evaluation and wiring health indexes, the conventional loss reduction measure intelligent analysis is realized by using a loss reduction expert experience library, the loss reduction optimization analysis of distributed power supplies and load cut-off is performed deeply, and a first-line strategy optimization scheme and a regional optimization scheme are provided for source-end business departments in a 'digital' mode.
The invention will be described in further detail with reference to the drawings and the detailed description.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An embodiment provides a loss reduction planning method based on quartered load distribution, specifically,
(1) The wiring theoretical line loss digital model is formed by automatic access or manual off-line modeling of a topology model and mainly comprises file parameters, topology data and operation data, wherein the file parameters comprise the length and the model of a power supply line, and the topology data comprise the connection relation between wiring conductors and the connection relation between conductors. And identifying the operation data by using a big data method, wherein the operation data comprises null data, zero data, straight line data, overrun super capacity data and the like, providing an abnormal list and assisting a source end business department in checking and analyzing.
(2) And (3) analyzing the self-adaptive power supply radius, wherein the power supply radius of the transformer substation refers to the linear distance between the transformer substation and the farthest load point of power supply of the transformer substation, and the method is generally used for planning and selecting sites of the transformer substation. Line supply radii of 10kV and below refer to the length of the line between the point of supply and the furthest load it supplies, and are typically used to control line voltage drops. In the embodiment, the power supply main line path is dynamically identified by combining the topology depth-first search method with the length of the power supply lead to realize self-adaptive power supply radius analysis, and the power supply main line path is used as a baseline reference for the four-level load analysis.
The process is as follows:
(1) invoking a topological depth-first algorithm to calculate multiple groups of power supply paths of the transformer substation i=1, 2 … … n, where oline.i represents the length of the i-th power supply line of the wiring;
(2) comparing all topology paths, the longest topology path is output as the supply radius llong=max (path.i).
(3) And analyzing the distribution of the four-bit load, namely dividing the plane load by using the power supply radius of the wiring outlet by using the quartile, and analyzing the load of the plane area governed by the power supply radius of one-bit, middle-bit, three-bit and last-bit by using the circuit as a visual angle by adopting a topological depth-first search method to obtain the distribution of the four-bit load of the wiring. From the perspective of planning the grid frame of the power distribution network, the space-time load distribution should be reasonably concentrated before middle split. Based on the four-bit load distribution, the four-bit load distribution of time-sharing wiring and the position distribution of a time-sharing public-private power transformer load plane and the distributed power distribution are realized by different dimensions.
The distributed power supply is distributed in a private transformer state in the public private transformer load plane position distribution, so that the load value of the distributed power supply distribution is the same as the public private transformer load plane position distribution.
The process is as follows:
(1) dividing the power supply radius into four sections by adopting quartiles for planar load, and calculating a load value of each planar section, namely a quartile load value FLoad.i, wherein i=1, 2,3 and 4;
(2) calculating each split load valueWhere load. N is the load value of the nth working face of the current planar segment.
(4) The load distribution is visualized and the load distribution is displayed,
namely, the time-sharing distribution line four-bit load distribution display, the time-sharing public-private transformer load plane position distribution display and the distributed power supply distribution display.
The distribution line four-bit load distribution visual attribute is the power supply radius length and 24-point time sequence four-bit load;
the position distribution visualization attribute of the time-sequence public-private transformer load plane is the position percentage of the load node vertical to the power supply radius, the time-sequence load size of the public-private transformer, the length from the load node to the first branch point, and other branch lines on the power supply main line are called first branches;
the distributed power distribution attribute is distributed identification, load size and access position.
The process is as follows:
(1) calculating the percentage of the vertical position of the primary branch lineLfzline.i is the length of a wiring power supply outlet in the i-th primary branch line vertical power supply line, and Llong is the power supply radius length;
(2) dividing the public-private transformer load plane position distribution by 24-point time sequences to obtain time-sharing public-private transformer load values of each time sequenceWhere i=1, 2,3,4, time=1, 2, … …,24 full-point moment;
(3) dividing the distributed power distribution by 24-point time sequences to obtain a distributed power load value of each time sequenceWherein i=1, 2,3,4; time = 1,2, … …,24 full-point moment; flag is a distributed power supply identifier.
(5) And constructing an expert experience library for loss reduction planning, namely constructing an expert experience library for conventional loss reduction measures such as neck blocking, high energy consumption, on-site reactive compensation and the like according to the related guideline, and marking the lead selection type, the distribution transformer selection type and the distribution transformer economic operation reference, so as to realize intelligent loss reduction analysis.
(6) A line-by-line strategy loss reduction scheme,
the loss reduction potential points are primarily analyzed through the line differential energy efficiency evaluation and the health index evaluation, so that the conventional intelligent analysis of loss reduction measures is realized; and by utilizing the quartile load distribution analysis and combining the current power grid planning situation, the distributed power supply planning loss reduction analysis and the load cut-change analysis are realized.
The differential energy efficiency evaluation selects different evaluation index thresholds according to different power supply areas, wherein the different evaluation index thresholds comprise dimensions such as wire type selection, power supply radius, energy-saving distribution ratio, iron loss ratio, reactive power qualification rate, theoretical line loss rate and the like;
the wiring health index is based on three dimensions of grid structure, operation condition and management line loss to formulate evaluation indexes, wherein the indexes comprise cable rate, maximum load rate, copper iron loss ratio, synchronous line loss rate, double-rate deviation and the like.
And automatically generating a first-line strategy loss reduction evaluation scheme through multi-dimensional evaluation and loss reduction auxiliary decision.
(7) The regional loss reduction optimization scheme aims at the fact that a better loss reduction effect cannot be achieved by the one-line one-strategy loss reduction scheme, regional loss reduction optimization is considered, the conditions of power supply region quartering load distribution analysis and energy efficiency evaluation are utilized, the power grid reconstruction is mainly used for reducing iron loss and load switching and changing in the power supply region, the regional loss reduction optimization analysis is carried out by taking the distributed and energy storage planning as assistance, and the safety and investment recovery period are comprehensively analyzed through the comparison of the power saving amounts of the multiple loss reduction schemes.
The key item evaluation indexes are as follows:
(1) energy-saving distribution ratio
Wherein Sum (ts.e) is the total number of the under-wiring hanging energy-saving type distribution transformers, and Sum (T) is the total number of the under-wiring hanging energy-saving type distribution transformers;
(2) iron loss ratio
Wherein Sum (L.fe) is the Sum of all high-supply low-meter mode matching transformer losses after the calculation of the wiring theoretical line loss; sum (L.cu) is the Sum of copper losses of all high-supply low-meter mode distribution changes after the calculation of the wire loss of the wiring theory; sum (l.cu) is the Sum of all overhead conductor and cable losses after calculation of the theoretical line loss of the wiring;
(3) reactive yield rate
The Sum (T.Cos.y) is the number of under-wiring public special transformer power factors meeting the operation rules of the distribution transformer, the Sum (T) is the total number of under-wiring public transformer, the Cos is the power factor, the P is the active power, and the Q is the reactive power.
(4) Rate of cabling
Wherein Sum (l.dline.i) is the total length of various types of cable sections in the wiring, sum (l.kline.i) is the total length of various types of overhead conductor sections in the wiring;
(5) maximum load factor
Wherein Sum (load.i. time) refers to the Sum of the time load values of all under-wiring overhead-hook-up-type transformers at the time (1, 2,..24) moment; max (Sum) is the maximum Sum of loads at time instants of the time-division sequence; load.line.max is the maximum load of the maximum safe current estimate for the wire outlet;
(6) double rate deviation x6=lossf tp -lossf ll ，
Wherein lossf is tp The same period line loss rate corresponding to the same typical day; lossf (lossf) ll The theoretical line loss rate under the same typical day;
(8) A loss reduction planning method based on quartile load distribution develops a corresponding auxiliary system, and mainly comprises a data management module, a data identification module, a time sequence quartile load analysis module, a loss reduction planning auxiliary analysis module and an optimal loss reduction scheme module.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Quartile (Quartile) is also known as a Quartile, and refers to a numerical value obtained by statistically dividing all values into four equal parts from small to large, and at three dividing points. The method is widely applied to box line drawing in statistics. It is a set of values at 25% and 75% positions after data ordering. The quartile is the division of the total data into 4 parts by 3 points, where each part contains 25% of the data. It is clear that the middle quartile is the median, so that what is known as a quartile refers to a value at 25% (referred to as the lower quartile) and a value at 75% (referred to as the upper quartile).
Depth First Search (DFS) is a graph search algorithm. Depth first search belongs to one of graph algorithms, and is a traversal algorithm for graphs and trees, and english is abbreviated as DFS, depth First Search. Depth-first search is a classical algorithm in graph theory, and by using the depth-first search algorithm, a corresponding topological ranking table of the target graph can be generated, and by using the topological ranking table, many related graph theory problems, such as a maximum path problem, and the like, can be conveniently solved. The DFS algorithm is typically aided by a heap data structure. The procedure is briefly described as going deep enough for each possible branch path to no longer go deep, and each node can only access once.
Time series analysis is a method for predicting possible future targets in the time domain by analyzing the development process, direction and trend of time series. The method uses the time sequence analysis principle and technology in probability statistics, utilizes the data correlation of a time sequence system to establish a corresponding mathematical model, describes the time sequence state of the system, and predicts the future. The basic steps are as follows: based on the data of the related historical data, different time electromotive forces such as irregular fluctuation, cyclic fluctuation, seasonal fluctuation and the like, especially continuous long-term electromotive force are distinguished, and a statistical graph is arranged. Based on the principle of the system, the time sequence is comprehensively analyzed to reflect all causal links and influences which have occurred, and the comprehensive effect of various acting forces is analyzed.
Claims (10)
1. A loss reduction planning method based on quartile load distribution is characterized by comprising the following steps,
s100: acquiring a wiring theoretical line loss digital model, wherein the wiring theoretical line loss digital model comprises file parameters, topology data and operation data, and the file parameters comprise the length of a power supply line;
s200: the topology depth priority algorithm is called, the length of a power supply line is combined, the power supply radius of the transformer substation is output, and the power supply radius is the length of the line between the outlet of a power supply point of the transformer substation and the farthest load of power supply of the transformer substation;
s300: carrying out plane load division on the power supply radius by adopting quartiles, carrying out quartile load distribution analysis on the power supply radius, calling a topology depth priority algorithm, and calculating to obtain distribution quartile load distribution, public-private transformer load plane position distribution and distributed power supply distribution;
s400: and dividing the distribution line four-bit load distribution, the public-private power-transformation load plane position distribution and the distributed power distribution by 24-point time sequence to obtain time-division distribution line four-bit load distribution display, time-division public-private power-transformation load plane position distribution display and distributed power distribution display.
2. The loss reduction planning method based on the quartile range load distribution according to claim 1, further comprising the step of,
s500: the method comprises the steps of obtaining an expert experience library, wherein the expert experience library comprises a plurality of standard values of lead type selection, distribution transformer type selection and distribution transformer economic operation;
s600: performing differential energy efficiency evaluation and health index evaluation on the power supply line, primarily analyzing loss reduction potential points to obtain conventional loss reduction measure intelligent analysis, and realizing distributed power supply access analysis and load switching power grid reconstruction analysis by utilizing quartile load distribution analysis and combining the current power grid planning situation;
s700: combining the multidimensional evaluation and the loss reduction auxiliary decision to output a first-line strategy loss reduction planning scheme; the four-bit load distribution and the differential energy efficiency evaluation of the power supply area are further combined, the power supply area iron loss reduction and load switching power grid reconstruction analysis is mainly used, the distributed power supply access analysis is used as an auxiliary, and the area loss reduction planning scheme is output.
3. The loss reduction planning method based on the quartile load distribution according to claim 1, wherein the step S100 further comprises identifying the operation data by a big data method, providing an abnormal list, and assisting the source service part in troubleshooting and analysis, wherein the operation abnormal data comprises null data, zero data, straight line data and overrun super-capacity data.
4. The loss reduction planning method according to claim 1, wherein the step S200 specifically includes,
s201: invoking a topological depth-first algorithm, and calculating multiple groups of power supply paths Path.i=of the transformer substationI=1, 2 … … n, where oline.i represents the length of the i-th power supply line of the wiring;
s202: comparing all topology paths, the longest topology path is output as the supply radius llong=max (path.i).
5. The loss reduction planning method according to claim 1, wherein the step S300 specifically includes,
s301: dividing the power supply radius into four sections by adopting quartiles for planar load, and calculating a load value of each planar section, namely a quartile load value FLoad.i, wherein i=1, 2,3 and 4;
s302: calculate each fractional load value fload.i=Where load. N is the load value of the nth working face of the current planar segment.
6. The loss reduction planning method according to claim 1, wherein the step S400 specifically includes,
s401: calculate the percentage position of the vertical position of the first branch lineWherein Lfzline.i is the length of a wiring power supply outlet in the i-th primary branch line vertical power supply line, and Llong is the power supply radius length;
s402: dividing the public-private transformer load plane position distribution by 24-point time sequences to obtain a time-sharing public-private transformer load value load.i. time of each time sequence(position. X%, load. I.time, load. I), where i=1, 2,3,4, time=1, 2, … …,24 full-pel moment;
s403: dividing the distributed power distribution by 24-point time sequences to obtain a distributed power load value Disload.i.time of each time sequence(Flag, position. X%, load. I.time, load. I), where i=1, 2,3,4The method comprises the steps of carrying out a first treatment on the surface of the time = 1,2, … …,24 full-point moment; flag is a distributed power supply identifier.
7. The loss reduction planning method based on the quartile range load distribution according to claim 2, wherein the indexes of the differential energy efficiency evaluation comprise wire selection, power supply radius, energy-saving distribution ratio, iron loss ratio, reactive power qualification rate and theoretical line loss rate.
8. The loss reduction planning method based on the quartered load distribution according to claim 2, wherein the health index evaluation indexes comprise a cabling rate, a maximum load rate, a copper iron loss ratio, a synchronous line loss rate and a double rate deviation.
9. The loss reduction planning method based on the quartile range load distribution of claim 7, wherein,
the energy-saving distribution ratio X1 =Wherein->The total number of energy-saving distribution transformers hung under the wiring is +.>The total number of the distribution transformer is hung under the wiring;
the core loss ratio X2 =Wherein->The sum of the iron losses is matched and changed in a high-supply low-meter mode after the theoretical line loss of the wiring is calculated; />All high-power supply low-power meters after calculating line loss for wiring theoryThe mode is to change the sum of copper losses; />Calculating the sum of all overhead conductor and cable losses after the theoretical line loss of wiring;
the reactive yield X3 =，Cos=/>Wherein->The power factor of the public special transformer for wiring down-hanging meets the number of the operation rules of the distribution transformer>For the total number of the under-wiring hanging-up transformers, cos is a power factor, P is active power, and Q is reactive power.
10. The loss reduction planning method based on the quartile range load distribution of claim 8, wherein,
the cabling rate x4=Wherein->For the total length of various types of cable sections in the wiring, < >>The total length of the overhead conductor sections of various types in the wiring is set;
the maximum load factor x5=Wherein->Means that under all wiring under-hanging the public special transformer at the time point of time (1, 2,..24) the sum of the time load values; />The maximum load sum in the time of the time-sharing sequence; />Maximum load estimated for maximum safe current at the wire outlet;
the double rate deviation x6=Wherein->The same period line loss rate corresponding to the same typical day; />Is the theoretical line loss rate under the same typical day.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110961929.0A CN113627028B (en) | 2021-08-20 | 2021-08-20 | Loss reduction planning method based on quartile load distribution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110961929.0A CN113627028B (en) | 2021-08-20 | 2021-08-20 | Loss reduction planning method based on quartile load distribution |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113627028A CN113627028A (en) | 2021-11-09 |
| CN113627028B true CN113627028B (en) | 2023-10-24 |
Family
ID=78386986
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110961929.0A Active CN113627028B (en) | 2021-08-20 | 2021-08-20 | Loss reduction planning method based on quartile load distribution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113627028B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014041580A1 (en) * | 2012-09-11 | 2014-03-20 | テルモ株式会社 | Load distribution measurement system, information processing device, and information processing method |
| CN112116152A (en) * | 2020-09-17 | 2020-12-22 | 北京中恒博瑞数字电力科技有限公司 | Line loss double-rate optimization method and system based on synchronous data |
-
2021
- 2021-08-20 CN CN202110961929.0A patent/CN113627028B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014041580A1 (en) * | 2012-09-11 | 2014-03-20 | テルモ株式会社 | Load distribution measurement system, information processing device, and information processing method |
| CN112116152A (en) * | 2020-09-17 | 2020-12-22 | 北京中恒博瑞数字电力科技有限公司 | Line loss double-rate optimization method and system based on synchronous data |
Non-Patent Citations (5)
| Title |
|---|
| 基于负荷实测的配电网理论线损分析及降损对策;张恺凯;杨秀媛;卜从容;茹伟;刘成君;杨阳;陈瑶;;中国电机工程学报(第S1期);97-102 * |
| 无功补偿在低压配电系统的探讨与应用;任纪兵;罗宁;冯保柱;;今日科苑(第20期);37 * |
| 计及分布式电源与可平移负荷的变电站优化规划;李振坤;岳美;胡荣;符杨;;中国电机工程学报(第18期);4883-4893 * |
| 负荷空间分布对10kV线路末端电压影响研究;刘民伟;;云南电力技术(04);129-131 * |
| 黄雄斌 ; .计量自动化系统在线损"四分"管理中的应用.数字技术与应用.2011,151-152. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113627028A (en) | 2021-11-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110795692A (en) | Active power distribution network operation state evaluation method | |
| US5798939A (en) | System for optimizing power network design reliability | |
| CN108683186B (en) | Power supply capacity improvement-oriented power distribution network double-layer expansion planning method | |
| CN104866921A (en) | Power distribution system network reconstruction method based on safety domain | |
| CN104700325A (en) | Power distribution network stability evaluation method | |
| CN111950106A (en) | Power supply grid and unit optimization partitioning method based on global overall planning | |
| CN111400841A (en) | Multi-information integrated power grid space-time multi-dimensional layer model construction method | |
| CN103077484A (en) | Multi-dimensional power flow evaluation index method based on statistic analysis of historical information of power grid | |
| CN113627028B (en) | Loss reduction planning method based on quartile load distribution | |
| CN111680469A (en) | Medium-low voltage distribution network line loss limit value calculation method | |
| CN103077485B (en) | Various dimensions voltage deviation degree index method based on historical information of power grid statistical analysis | |
| CN103150605A (en) | Power grid planning auxiliary system | |
| CN110414836A (en) | Consider the probabilistic substation's probability plan method of comprehensive energy station power demand | |
| CN107274054B (en) | Power distribution network operation efficiency evaluation method based on maximum available capacity of same-layer equipment | |
| CN105844359A (en) | Urban power grid structure optimizing method based on reliability cost-effectiveness analysis | |
| CN109245109B (en) | Power supply low-voltage early warning system and method | |
| CN108846155B (en) | Vector calculation method for electrical load center of building engineering and power transformation design method | |
| Šarić et al. | Distributed generation allocation using fuzzy multi criteria decision making algorithm | |
| CN103020290B (en) | Electric network information method of calibration and system | |
| CN115833150A (en) | Method for reactive power compensation layered configuration of offshore oil and gas platform power grid | |
| Chen et al. | Multi-area economic generation and reserve dispatch | |
| Burade et al. | BY USING GENETIC ALGORITHM METHOD FOR OPTIMAL LOCATION OF FACTS DEVICES IN THE DEREGULATED POWER SYSTEM. | |
| CN115293649A (en) | Intelligent fine loss reduction method for regional distribution network | |
| CN111027017B (en) | Comprehensive evaluation system for management state of power distribution network | |
| CN113537612A (en) | Heavy overload transfer method based on genetic algorithm dynamic programming technology |
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 |