CN110879335A - Method for evaluating heavy overload condition of power distribution network line - Google Patents
Method for evaluating heavy overload condition of power distribution network line Download PDFInfo
- Publication number
- CN110879335A CN110879335A CN201911297898.2A CN201911297898A CN110879335A CN 110879335 A CN110879335 A CN 110879335A CN 201911297898 A CN201911297898 A CN 201911297898A CN 110879335 A CN110879335 A CN 110879335A
- Authority
- CN
- China
- Prior art keywords
- line
- overload
- distribution network
- heavy
- load rate
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a method for evaluating a heavy overload condition of a power distribution network line, which comprises the following steps: step S1, determining parameter information related to the evaluation; step S2, acquiring basic data information through a management system; step S3, evaluating the heavy overload condition of the power distribution network line; step S4, determining the priority of the heavy overload problem of the power distribution network line; and step S5, evaluating the heavy overload condition of the regional distribution network. By implementing the invention, the overload problem caused by short-time load fluctuation factors and the overload problem existing for a long time and appearing at high frequency are distinguished, and the pertinence of problem solving and processing is improved; the evaluation result of the macroscopic overall level of the regional power grid operation is obtained, and the specified optimization suggestion of the distribution network line heavy overload problem is also obtained, so that the decision reference requirements of decision-making personnel at different levels are met; the problem processing priority order is disclosed, the real operability of the evaluation result is improved, and the evaluation result is convenient to convert.
Description
Technical Field
The invention belongs to the field of power grid evaluation, and relates to a method for evaluating a heavy overload condition of a power distribution network line.
Background
Heavy overloading of a power distribution network line means that the power of the line approaches or exceeds the maximum power allowed by the equipment. Overload operation of a power distribution network line can cause the operation life of related equipment to be reduced, the equipment is damaged, even the equipment is burnt by fire, the safe operation of the power distribution network and the power supply of users are affected, and the influence must be immediately handled.
After the power distribution network line is overloaded, the load is often controlled by adopting a temporary load transfer or peak load shifting mode, and temporary power failure of a user can be caused. Part of the problems of overload of the power distribution network lines can be thoroughly solved only by modifying a power grid or building new lines, and the long duration time has great influence on life.
Aiming at the problem of heavy overload of a power distribution network line, a scientific and efficient evaluation method is needed to be adopted, the problem is judged, found and solved as much as possible in advance or in a seedling stage, adverse effects and solving cost caused by the problem are reduced, and safe and stable operation of a power grid and reliable power supply of a user are guaranteed.
The existing evaluation method also has the following problems:
the heavy overload condition of each line at the maximum load moment of the whole network at the highest load day of the region in each year is used as an analysis object, and the analysis result may have larger deviation with the actual heavy overload of the line due to the difference of characteristic curves of the individual line and the whole load of the region.
And (3) carrying out heavy overload problem evaluation by taking the highest load rate of the line in the period, mainly considering the severity of the heavy overload of the line, but not considering the continuity of the heavy overload problem, and being not beneficial to distinguishing the overload problem caused by short-time load fluctuation factors and the overload problem existing for a long time and occurring at high frequency.
The evaluation result is tabulated or abstract score data of a series of index statistical results, the relation between the evaluation result and the next optimization decision is not reflected, and the constructive suggestion is difficult to provide for the next optimization, transformation, construction and the like of the power distribution network.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide a method for evaluating the heavy overload condition of a distribution network line, and solve the problems that the severity and the continuity are not considered and differentiation is not realized when the heavy overload condition of the distribution network line is comprehensively evaluated.
The invention provides a method for evaluating a heavy overload condition of a power distribution network line, which comprises the following steps:
step S1, determining parameter information related to the evaluation;
step S2, acquiring basic data information through a management system;
step S3, evaluating the heavy overload condition of the power distribution network line;
step S4, determining the priority of the heavy overload problem of the power distribution network line;
and step S5, evaluating the heavy overload condition of the regional distribution network.
Further, in step S1, the parameter information related to the evaluation specifically includes:
the line load rate refers to the ratio of the actual value of the line transmission power or current to the rated value;
line load rate, which refers to the ratio of the actual value of the line transmitted power or current to the rated value;
line heavy load alarm load rate βzThe power or current transmitted by the line exceeds a heavy load alarm value;
line overload rate βgThe upper limit value of the power or current transmitted by the line;
a unit counting period T for further dividing the counting time interval into unit counting time intervals with equal duration;
criterion f for determining the problem of reproducibilitycFor judging the standard of repeatability problem when the heavy load or overload frequency of the power distribution network line exceeds fcThe problem is identified as a repeatability problem.
Further, in step S2, the specific process of acquiring the basic data information is as follows:
step S21, acquiring distribution network line information and affiliated operation and maintenance unit information D (i) from a distribution network graph model management system through a data interface, wherein i represents the ith line;
step S22, obtaining the maximum load rate β of the line in the statistical time period from the main network energy management system through the data interface according to the line name and GISIDmax(i) At maximum loadMoment tmax(i)；
Step S23, acquiring highest load rate information β of distribution network lines in each unit statistical period in statistical time period from the main network energy management system through the data interface according to the line name and GISIDTmax(i, j), wherein j represents the j-th unit statistic period.
Further, in step S3, the specific process of evaluating the heavy overload of the distribution network line is as follows:
step S31, based on the obtained line maximum load rate βmax(i) According to the screening condition that the maximum load rate β of the line is (i) > β z, screening out a line set of which the load rate is greater than the overload warning value in the evaluation period, namely a heavy overload line set needing attention or optimization, wherein the specific expression is as follows:
L(i)＝{Li|βmax(i)＞βz，i＝1，2，3，...N}
step S32, for the screened heavily overloaded lines, evaluating the overload condition of each line i in each unit cycle j;
step S33, calculating the total overload times S of the distribution network lines in the whole evaluation periodg(i)；
Step S34, for the screened heavy overload lines, evaluating the heavy load condition of each line i in each unit cycle j;
step S35, calculating the total reloading times S of the distribution network lines in the whole evaluation periodz(i)；
And step S36, summarizing to obtain a heavy overload circuit list and a circuit heavy overload condition.
Further, in step S32, the overload condition of each line i in each unit cycle j is evaluated according to the following formula:
where i denotes the ith line, j denotes the jth unit statistical period, βTmax(i, j) is the highest load rate of line i in the j unit statistical period, βgIs the overload load rate of the power distribution network line.
Further, in step S33, the total number of overloads of the distribution network line in the whole evaluation period is calculated according to the following formula:
wherein i represents the ith line, j represents the jth unit statistical period, Cg(i, j) is the overload condition of line i in the j unit statistical period, Sg(i) Is the total number of overloads of line i over the entire evaluation period.
Further, in step S34, the overloading condition of each route i in each unit cycle j is evaluated according to the following formula:
where i denotes the ith line, j denotes the jth unit statistical period, βTmax(i, j) is the highest load rate of line i in the j unit statistical period, βgIs the overload load rate of the distribution network line, βzThe heavy load rate of the power distribution network line is disclosed.
Further, in step S35, the total number of reloads of the distribution network line in the whole evaluation period is calculated according to the following formula:
wherein i represents the ith line, j represents the jth unit statistical period, Cz(i, j) is the overloading condition of the line i in the j unit statistical period, Sz(i) Is the total number of reloads of line i over the entire evaluation period.
Further, in step S4, the specific process of determining the priority of the power distribution network line heavy overload problem is as follows:
step S41, obtaining the priority sequence of the distribution network line heavy overload problem according to a severity-repeatability decision matrix, wherein in the severity-repeatability decision matrix, the Y axis represents the maximum load rate of the line, and the X axis represents the heavy load or overload times;
step S42, judging whether the line overload frequency is 0, if not, adopting the overload frequency Sg(i) If 0, the number of times of overloading S is adoptedz(i)；
Step S43, the heavy overload problem is classified into four categories by the line coordinates being located in different areas:
the class A problem is the overload problem with high load rate and high occurrence frequency, which is the heavy overload problem to be solved first;
the B-type problem, the overload problem with high load rate but low occurrence frequency, is a problem solved firstly by suboptimum;
the class C problem, the heavy load problem with high load rate and high frequency, needs to control the load increase and access of the line;
the class D problem, the heavy load problem with high load rate and high frequency, needs to pay attention to the development trend of the line heavy overload problem.
Further, in step S5, the specific process of evaluating the heavy overload of the regional distribution network is as follows:
step S51, according to different units, respectively carrying out accumulation calculation on the overload times and the overload times of all circuits administered by each unit to obtain the total times of the overload and the overload of the circuits of the power grid management units in each region;
and step S52, summarizing the results to obtain the evaluation result of the heavy overload condition of the regional distribution network, wherein the evaluation result comprises the total number of the regional line overload for reflecting the severity and the frequency of the regional distribution network line overload, and the total number of the regional line overload for reflecting the severity and the frequency of the regional distribution network line overload.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method for evaluating the heavy overload condition of a power distribution network line, which considers the severity of the heavy overload problem of the line and the persistence of the heavy overload problem, is favorable for distinguishing the overload problem caused by short-time load fluctuation factors and the overload problem existing for a long time and appearing at high frequency, and improves the pertinence of problem solution and processing.
The law of the distribution network line heavy overload problem is disclosed from two levels of regions and equipment, the evaluation result of the regional power grid operation macroscopic overall level is obtained, the specified distribution network line heavy overload problem optimization suggestion is also obtained, and the decision reference needs of decision-making personnel at different levels are met.
And a quantitative evaluation result and a decision strategy are provided, the problem processing priority is disclosed, the real operability of the evaluation result is improved, the evaluation result conversion is facilitated, and a constructive suggestion is provided for the optimization, the transformation, the construction and the like of the next power distribution network.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is within the scope of the present invention for those skilled in the art to obtain other drawings based on the drawings without inventive exercise.
Fig. 1 is a schematic main flow chart of an embodiment of a method for evaluating a heavy overload condition of a power distribution network line provided by the present invention.
Fig. 2 is a heavy overload line list and a schematic diagram of a line heavy overload condition of an embodiment of a method for evaluating a power distribution network line heavy overload condition according to the present invention.
Fig. 3 is a schematic diagram of a severity-repeatability decision matrix of an embodiment of the method for evaluating the heavy overload condition of the power distribution network line provided by the present invention.
Fig. 4 is a schematic diagram of a result of evaluating a heavy overload condition of a regional distribution network according to an embodiment of the method for evaluating a heavy overload condition of a distribution network line provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 is a schematic main flow chart illustrating an embodiment of a method for evaluating a heavy overload condition of a power distribution network line provided by the present invention, where in this embodiment, the method includes the following steps:
step S1, determining parameter information related to the evaluation;
in a specific embodiment, the parameter information related to evaluation specifically includes:
line load factor β(i)The ratio of the actual value of the power or current transmitted by the line to the rated value;
line heavy load alarm load rate βzThe power or current transmitted by the line exceeds a heavy-load alarm value and needs to be concerned or optimized;
line overload rate βgThe upper limit value of power or current transmitted by a line needs to be immediately controlled, the overload load rate of the power distribution network line is generally set to 100 percent, and in actual operation, the line overload alarm load rate β can also be used according to the requirements of reducing user influence and finding and eliminating overload early-stage problems in advancegSet to less than 100%, Bg＞Bz；
A unit statistical period T, which is used for further dividing the statistical time interval into unit statistical time intervals with equal duration, generally determining the unit statistical period according to the variation period of the line load increase, and aiming at counting the occurrence frequency of heavy overload problems and finding out repeatability problems; for example, if the unit statistical period T is set to be once a day, the number of times of overload of a certain distribution network line is recorded as 1 increase when an overload condition occurs on the certain distribution network line on a certain day in the statistical period;
criterion f for determining the problem of reproducibilitycFor judging the standard of repeatability problem when the heavy load or overload frequency of the power distribution network line exceeds fcThe problem is identified as a repeatability problem, e.g., setting fcAnd when the number of times is 3, and the heavy load times of the power distribution network line in the statistical time period is equal to or more than 3, the line is considered as having the problem of repeated heavy load.
Step S2, acquiring basic data information through a management system;
in a specific embodiment, the specific process of acquiring the basic data information is as follows:
step S21, acquiring distribution network line information such as line name and GISID and the affiliated operation and maintenance unit information D (i) from the distribution network graph model management system through a data interface, such as a subarea power supply office or a power supply station, wherein i represents the ith line;
step S22, obtaining the maximum load rate β of the line in the statistical period from the main network Energy Management System (EMS) through the data interface according to the line name and GISIDmax(i) Time of maximum load tmax(i)；
Step S23, obtaining the highest load rate information β of the distribution network line in each unit statistical period in the statistical time period from the main network Energy Management System (EMS) through the data interface according to the line name and the GISIDTmax(i, j), wherein j represents the j-th unit statistic period.
Step S3, evaluating the heavy overload condition of the power distribution network line;
in a specific embodiment, the specific process of evaluating the heavy overload of the power distribution network line is as follows:
step S31, based on the obtained line maximum load rate βmax(i) β at maximum load rate of linemax(i) And screening a line set with the load rate larger than the overload alarm value in the evaluation period, namely a heavy overload line set needing attention or optimization under the screening condition of more than β z, wherein the specific expression is as follows:
L(i)＝{Li|βmax(i)＞βz，i＝1，2，3，…N}
step S32, for the selected heavily overloaded lines, evaluating the overload condition of each line i in each unit cycle j according to the following formula:
where i denotes the ith line, j denotes the jth unit statistical period, βTmax(i, j) is the highest load rate of line i in the j unit statistical period, βgIs the overload load rate of the power distribution network line;
step S33, calculating the total overload times S of the distribution network lines in the whole evaluation periodg(i) I.e. the total number of cycles in which overload occurs, is calculated according to the following formula:
wherein i represents the ith line, j represents the jth unit statistical period, Cg(i, j) is the overload condition of line i in the j unit statistical period, Sg(i) Is the total number of overloads of line i over the entire evaluation period;
step S34, for the selected heavily overloaded lines, evaluating the overloading condition of each line i in each unit cycle j according to the following formula:
where i denotes the ith line, j denotes the jth unit statistical period, βTmax(i, j) is the highest load rate of line i in the j unit statistical period, βgIs the overload load rate of the distribution network line, βzIs the power distribution network line heavy load rate;
step S35, calculating the total reloading times S of the distribution network lines in the whole evaluation periodz(i) I.e. the total number of cycles in which a reload occurs, is calculated according to the following formula:
wherein i represents the ith line, j represents the jth unit statistical period, Cz(i, j) is the overloading condition of the line i in the j unit statistical period, Sz(i) Is the total number of reloads of line i over the entire evaluation period;
in step S36, as shown in fig. 2, a heavy overload route list and a route heavy overload condition are obtained.
Step S4, determining the priority of the heavy overload problem of the power distribution network line;
in a specific embodiment, the specific process of determining the priority of the power distribution network line heavy overload problem is as follows:
step S41, as shown in fig. 3, obtaining a priority order of the distribution network line heavy overload problem according to a severity-repeatability decision matrix, in which a Y axis represents a maximum load rate of the line and represents a severity of the heavy overload problem, and an X axis represents a heavy load or overload frequency and represents an occurrence frequency of the heavy overload problem;
in the specific embodiment, the system comprises four lines:
y1, Y βz；
Y2, Y βg；
Vertical line X1: x is 1;
vertical line X2: x ═ fc；
Wherein, βzAlarm load rate for line overload, βgFor the overload load rate, f, of the distribution network linecCriteria were identified for repeatability problems.
Step S42, the ordinate is the maximum load rate in the evaluation period, the abscissa is the heavy load or overload frequency, whether the line overload frequency is 0 or not is judged, if not, the overload frequency S is adoptedg(i) If 0, the number of times of overloading S is adoptedz(i)；
Step S43, the heavy overload problem is classified into four categories by the line coordinates being located in different areas:
the class A problem is the overload problem with high load rate and high occurrence frequency, which is the heavy overload problem to be solved first;
the problems of type B, the overload problem of high load rate but low occurrence frequency, are the problems solved in the suboptimal, the problems need to be further confirmed to cause the temporary increase of the load rate, and control measures are taken for the relevant variables causing the high load rate;
the problem of C type, the heavy load problem with high load rate but high frequency, shows that the line load of the distribution network is in a high state for a long time, and the line load needs to be controlled to be newly increased and accessed;
the class D problem, the heavy load problem with high load rate and high frequency, needs to pay attention to the development trend of the line heavy overload problem, and takes further measures according to the situation.
And step S5, evaluating the heavy overload condition of the regional distribution network.
In a specific embodiment, the specific process for evaluating the heavy overload of the regional distribution network comprises the following steps:
step S51, according to different units, respectively carrying out accumulation calculation on the overload times and the overload times of all circuits administered by each unit to obtain the total times of the overload and the overload of the circuits of the power grid management units in each region;
specifically, taking the power supply a as an example:
and (4) solving the total overload times of the distribution network lines of the A power supply station, namely screening the lines governed by the A power supply station according to the affiliated units D (i), and carrying out S treatment on each lineg(i) Summing to obtain;
calculating the total heavy load times of the distribution network lines of the A power supply station, namely screening the lines governed by the A power supply station according to the affiliated units D (i), and carrying out S treatment on each linez(i) And summing to obtain the final product.
Step S52, as shown in FIG. 4, summarizing the results to obtain the result of evaluating the heavy overload condition of the regional distribution network, including the total number of regional line overload, which is used to reflect the severity and frequency of regional distribution network line overload, and the regional management unit should incline the resource priority processing, and adopt the means to eliminate the overload problem as soon as possible, so as to make the index return to zero; the region line overloading is always used for reflecting the severity and frequency of the region distribution network line overloading, the region management unit pays attention to the lines, and measures are taken through two dimensions of reducing the line overloading rate (reducing the severity of heavy overload) or reducing the heavy overload frequency (reducing the frequency of heavy overload problems), so that the indexes are reduced.
For further details, reference may be made to the preceding description of the drawings, which are not described in detail herein.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method for evaluating the heavy overload condition of a power distribution network line, which considers the severity of the heavy overload problem of the line and the persistence of the heavy overload problem, is favorable for distinguishing the overload problem caused by short-time load fluctuation factors and the overload problem existing for a long time and appearing at high frequency, and improves the pertinence of problem solution and processing.
The law of the distribution network line heavy overload problem is disclosed from two levels of regions and equipment, the evaluation result of the regional power grid operation macroscopic overall level is obtained, the specified distribution network line heavy overload problem optimization suggestion is also obtained, and the decision reference needs of decision-making personnel at different levels are met.
And a quantitative evaluation result and a decision strategy are provided, the problem processing priority is disclosed, the real operability of the evaluation result is improved, the evaluation result conversion is facilitated, and a constructive suggestion is provided for the optimization, the transformation, the construction and the like of the next power distribution network.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A method for evaluating the heavy overload condition of a power distribution network line is characterized by comprising the following steps:
step S1, determining parameter information related to the evaluation;
step S2, acquiring basic data information through a management system;
step S3, evaluating the heavy overload condition of the power distribution network line;
step S4, determining the priority of the heavy overload problem of the power distribution network line;
and step S5, evaluating the heavy overload condition of the regional distribution network.
2. The method according to claim 1, wherein in step S1, the parameter information related to the evaluation specifically includes:
line load rate, which refers to the ratio of the actual value of the line transmitted power or current to the rated value;
line heavy load alarm load rate βzThe power or current transmitted by the line exceeds a heavy load alarm value;
line overload rate βgThe upper limit value of the power or current transmitted by the line;
a unit counting period T for further dividing the counting time interval into unit counting time intervals with equal duration;
criterion f for determining the problem of reproducibilitycFor judging the standard of repeatability problem when the heavy load or overload frequency of the power distribution network line exceeds fcThe problem is identified as a repeatability problem.
3. The method as claimed in claim 2, wherein in step S2, the specific process of obtaining the basic data information is as follows:
step S21, acquiring distribution network line information and affiliated operation and maintenance unit information D (i) from a distribution network graph model management system through a data interface, wherein i represents the ith line;
step S22, obtaining the maximum load rate β of the line in the statistical time period from the main network energy management system through the data interface according to the line name and GISIDmax(i) Time of maximum load tmax(i)；
Step S23, acquiring highest load rate information β of distribution network lines in each unit statistical period in statistical time period from the main network energy management system through the data interface according to the line name and GISIDTmax(i, j), wherein j represents the j-th unit statistic period.
4. The method of claim 3, wherein in step S3, the detailed procedure for evaluating the heavy overload of the distribution network line is as follows:
step S31, based on the obtained line maximum load rate βmax(i) According to the screening condition that the maximum load rate β of the line is (i) > β z, screening out a line set of which the load rate is greater than the overload warning value in the evaluation period, namely a heavy overload line set needing attention or optimization, wherein the specific expression is as follows:
L(i)＝{Li|βmax(i)＞βz，i＝1，2，3，...N}
step S32, for the screened heavily overloaded lines, evaluating the overload condition of each line i in each unit cycle j;
step S33, calculating the total overload times S of the distribution network lines in the whole evaluation periods(i)；
Step S34, for the screened heavy overload lines, evaluating the heavy load condition of each line i in each unit cycle j;
step S35, calculating the total reloading times S of the distribution network lines in the whole evaluation periodz(i)；
And step S36, summarizing to obtain a heavy overload circuit list and a circuit heavy overload condition.
5. A method according to claim 4, characterized in that in step S32, the overload condition of each line i in each unit cycle j is evaluated according to the following formula:
where i denotes the ith line, j denotes the jth unit statistical period, βTmax(i, j) is the highest load rate of line i in the j unit statistical period, βgIs the overload load rate of the power distribution network line.
6. The method of claim 5, wherein in step S33, the total number of overloads of the distribution network line during the whole evaluation period is calculated according to the following formula:
wherein i represents the ith line, j represents the jth unit statistical period, Cg(i, j) is the overload condition of line i in the j unit statistical period, Sg(i) Is the total number of overloads of line i over the entire evaluation period.
7. The method of claim 6, wherein in step S34, the overloading condition of each route i in each unit cycle j is evaluated according to the following formula:
where i denotes the ith line, j denotes the jth unit statistical period, βTmax(i, j) is the highest load rate of line i in the j unit statistical period, βgIs the overload load rate of the distribution network line, βzThe heavy load rate of the power distribution network line is disclosed.
8. The method of claim 7, wherein in step S35, the total number of reloads of the distribution network line during the whole evaluation period is calculated according to the following formula:
wherein i represents the ith line, j represents the jth unit statistical period, Cz(i, j) is the overloading condition of the line i in the j unit statistical period, Sz(i) Is the total number of reloads of line i over the entire evaluation period.
9. The method of claim 8, wherein in step S4, the specific process of determining the priority of the distribution network line heavy overload problem is as follows:
step S41, obtaining the priority sequence of the distribution network line heavy overload problem according to a severity-repeatability decision matrix, wherein in the severity-repeatability decision matrix, the Y axis represents the maximum load rate of the line, and the X axis represents the heavy load or overload times;
step S42, judging whether the line overload frequency is 0, if not, adopting the overload frequency Sg(i) If 0, the number of times of overloading S is adoptedz(i)；
Step S43, the heavy overload problem is classified into four categories by the line coordinates being located in different areas:
the class A problem is the overload problem with high load rate and high occurrence frequency, which is the heavy overload problem to be solved first;
the B-type problem, the overload problem with high load rate but low occurrence frequency, is a problem solved firstly by suboptimum;
the class C problem, the heavy load problem with high load rate and high frequency, needs to control the load increase and access of the line;
the class D problem, the heavy load problem with high load rate and high frequency, needs to pay attention to the development trend of the line heavy overload problem.
10. The method of claim 9, wherein in step S5, the specific process of evaluating the heavy overload of the regional distribution network is:
step S51, according to different units, respectively carrying out accumulation calculation on the overload times and the overload times of all circuits administered by each unit to obtain the total times of the overload and the overload of the circuits of the power grid management units in each region;
and step S52, summarizing the results to obtain the evaluation result of the heavy overload condition of the regional distribution network, wherein the evaluation result comprises the total number of the regional line overload for reflecting the severity and the frequency of the regional distribution network line overload, and the total number of the regional line overload for reflecting the severity and the frequency of the regional distribution network line overload.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911297898.2A CN110879335B (en) | 2019-12-16 | 2019-12-16 | Method for evaluating heavy overload condition of power distribution network line |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911297898.2A CN110879335B (en) | 2019-12-16 | 2019-12-16 | Method for evaluating heavy overload condition of power distribution network line |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110879335A true CN110879335A (en) | 2020-03-13 |
| CN110879335B CN110879335B (en) | 2022-05-10 |
Family
ID=69731751
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911297898.2A Active CN110879335B (en) | 2019-12-16 | 2019-12-16 | Method for evaluating heavy overload condition of power distribution network line |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110879335B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102999784A (en) * | 2012-11-20 | 2013-03-27 | 广东电网公司 | Power grid heavy-load analyzing method and system |
| CN103543360A (en) * | 2013-10-29 | 2014-01-29 | 珠海许继芝电网自动化有限公司 | Method and system for monitoring repeated overload of power distribution network lines |
| CN103559654A (en) * | 2013-11-08 | 2014-02-05 | 国家电网公司 | Comprehensive analysis system and method of power distribution network |
| CN104753067A (en) * | 2015-03-03 | 2015-07-01 | 国家电网公司 | Mass historical data based power distribution network load equalization reconstruction method |
| CN105488740A (en) * | 2015-12-17 | 2016-04-13 | 深圳供电局有限公司 | Method and system for evaluating risk grade of operation mode of urban power distribution network |
| CN107909230A (en) * | 2018-01-12 | 2018-04-13 | 国网福建省电力有限公司 | A kind of modeling method of the short-term Early-warning Model of rural power grids distribution transforming heavy-overload |
| CN108872752A (en) * | 2018-07-09 | 2018-11-23 | 国网上海市电力公司 | A kind of power distribution automation device detection system and its method |
| CN109117974A (en) * | 2017-06-26 | 2019-01-01 | 中国电力科学研究院 | A kind of distribution net platform region heavy-overload methods of risk assessment and device |
| CN109670696A (en) * | 2018-12-13 | 2019-04-23 | 海南电网有限责任公司 | A kind of route heavy-overload prediction technique based on operation big data |
| CN109738753A (en) * | 2018-12-07 | 2019-05-10 | 国网江苏省电力有限公司南京供电分公司 | A kind of detection method of grid failure state and fault type |
| CN110263078A (en) * | 2019-08-14 | 2019-09-20 | 广东电网有限责任公司佛山供电局 | A kind of distribution line heavy-overload Intelligent statistical system and statistical method |
| CN110427392A (en) * | 2019-07-22 | 2019-11-08 | 深圳供电局有限公司 | A kind of power distribution network grid-based management information system based on cloud platform |
| CN110457770A (en) * | 2019-07-18 | 2019-11-15 | 中国电力科学研究院有限公司 | A kind of distribution transformer heavy-overload judgment method towards time scale |
| EP3686615A1 (en) * | 2019-01-24 | 2020-07-29 | Siemens Aktiengesellschaft | Integrated or modular controller for an optimized power network operation of a dc network or hybrid network generated from an ac or dc network, uses thereof and a method for an optimized power network operation |
-
2019
- 2019-12-16 CN CN201911297898.2A patent/CN110879335B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102999784A (en) * | 2012-11-20 | 2013-03-27 | 广东电网公司 | Power grid heavy-load analyzing method and system |
| CN103543360A (en) * | 2013-10-29 | 2014-01-29 | 珠海许继芝电网自动化有限公司 | Method and system for monitoring repeated overload of power distribution network lines |
| CN103559654A (en) * | 2013-11-08 | 2014-02-05 | 国家电网公司 | Comprehensive analysis system and method of power distribution network |
| CN104753067A (en) * | 2015-03-03 | 2015-07-01 | 国家电网公司 | Mass historical data based power distribution network load equalization reconstruction method |
| CN105488740A (en) * | 2015-12-17 | 2016-04-13 | 深圳供电局有限公司 | Method and system for evaluating risk grade of operation mode of urban power distribution network |
| CN109117974A (en) * | 2017-06-26 | 2019-01-01 | 中国电力科学研究院 | A kind of distribution net platform region heavy-overload methods of risk assessment and device |
| CN107909230A (en) * | 2018-01-12 | 2018-04-13 | 国网福建省电力有限公司 | A kind of modeling method of the short-term Early-warning Model of rural power grids distribution transforming heavy-overload |
| CN108872752A (en) * | 2018-07-09 | 2018-11-23 | 国网上海市电力公司 | A kind of power distribution automation device detection system and its method |
| CN109738753A (en) * | 2018-12-07 | 2019-05-10 | 国网江苏省电力有限公司南京供电分公司 | A kind of detection method of grid failure state and fault type |
| CN109670696A (en) * | 2018-12-13 | 2019-04-23 | 海南电网有限责任公司 | A kind of route heavy-overload prediction technique based on operation big data |
| EP3686615A1 (en) * | 2019-01-24 | 2020-07-29 | Siemens Aktiengesellschaft | Integrated or modular controller for an optimized power network operation of a dc network or hybrid network generated from an ac or dc network, uses thereof and a method for an optimized power network operation |
| CN110457770A (en) * | 2019-07-18 | 2019-11-15 | 中国电力科学研究院有限公司 | A kind of distribution transformer heavy-overload judgment method towards time scale |
| CN110427392A (en) * | 2019-07-22 | 2019-11-08 | 深圳供电局有限公司 | A kind of power distribution network grid-based management information system based on cloud platform |
| CN110263078A (en) * | 2019-08-14 | 2019-09-20 | 广东电网有限责任公司佛山供电局 | A kind of distribution line heavy-overload Intelligent statistical system and statistical method |
Non-Patent Citations (4)
| Title |
|---|
| 刘晟等: "考虑运行和网架风险的配电网运行方式制定及优化", 《陕西电力》 * |
| 卢志刚等: "基于供电能力的主动配电***安全等级划分", 《中国电机工程学报》 * |
| 朱翀霄等: "配电网负荷均衡重构方法在配电网调度及运维检修中的应用", 《电气应用》 * |
| 黄佳等: "农网公配变重过载研究分析及治理策略探讨", 《电气开关》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110879335B (en) | 2022-05-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ren et al. | Long-term effect of the n-1 criterion on cascading line outages in an evolving power transmission grid | |
| US5798939A (en) | System for optimizing power network design reliability | |
| US7447611B2 (en) | Power generation performance analysis system and method | |
| US7941296B2 (en) | Benchmarking and gap analysis system and method | |
| CN104915897A (en) | Computer implementation method for power grid planning evaluation service | |
| CN114742488B (en) | Main transformer operation risk assessment method and system | |
| CN110533291A (en) | A kind of medium voltage distribution network weak link identification method based on risk assessment | |
| CN114003387A (en) | Micro-service load balancing and elastic expansion and contraction method based on reinforcement learning | |
| CN110879335B (en) | Method for evaluating heavy overload condition of power distribution network line | |
| CN110957724B (en) | Power distribution network operation mode and grid structure evaluation method | |
| CN116956203B (en) | Method and system for measuring action characteristics of tapping switch of transformer | |
| CN112288278A (en) | Equipment asset management method based on knowledge graph | |
| CN112186764A (en) | Access optimization method and device for power distribution network equipment and electronic equipment | |
| Garcia et al. | A dynamic regulation market mechanism for improved financial settlements in wholesale electricity markets | |
| CN115660425A (en) | Windage yaw flashover risk evaluation method, system, equipment and readable storage medium | |
| CN109066664A (en) | A kind of quantitative estimation method based on the control of 110kV substation full cut-off risk closed loop | |
| CN117391357B (en) | Scheduling self-checking system for power grid scheduling operation management based on big data | |
| CN111522309A (en) | Data processing method and device based on EMS system | |
| Mauritzen et al. | Increasing or diversifying risk? Tail correlations, transmission flows and prices across wind power areas | |
| CN116432990B (en) | Collaborative filtering algorithm-based power task decision analysis method | |
| Neto et al. | A multicriteria approach for performance evaluation of distribution system operators | |
| CN117408535B (en) | New energy climbing event rolling early warning method and system based on deep learning | |
| CN117498468B (en) | Collaborative optimization operation method for multi-region virtual power plant | |
| Guimarães et al. | Optimization of computer networks design integrating dependability and business aspects | |
| CN111949940B (en) | Transformer overload prediction method, system and storage medium for transformer area based on regression model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |