CN112736897A - Grid structure optimization method based on load peak shifting - Google Patents

Grid structure optimization method based on load peak shifting Download PDF

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Publication number
CN112736897A
CN112736897A CN202011460140.9A CN202011460140A CN112736897A CN 112736897 A CN112736897 A CN 112736897A CN 202011460140 A CN202011460140 A CN 202011460140A CN 112736897 A CN112736897 A CN 112736897A
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load
structure optimization
station
ring
grid structure
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李海龙
阮浩洁
许晓峰
林科振
何启晨
张立
郑隽杰
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Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management

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Abstract

The invention provides a grid structure optimization method based on load peak shifting, which takes a ring network station of a distribution automation main station as a minimum unit and carries out the listing of candidate grid structure optimization schemes through a program association function of the distribution automation main station, and specifically comprises the following steps: the method comprises the steps of taking the maximum number of the associated target lines, the maximum capacity of the associated target lines, the maximum N-1 capacity of the looped network lines and the minimum load rate as constraint conditions, carrying out permutation and combination processing on the program associated lines and the switching stations, sequencing the lines formed by each permutation and combination according to the load rate from high to low, taking the lines formed by each permutation and combination as a space truss structure optimization candidate scheme, and selecting an optimal space truss structure optimization scheme according to daily load characteristic curve data of the space truss structure optimization candidate scheme.

Description

Grid structure optimization method based on load peak shifting
Technical Field
The invention relates to the field of power distribution network optimization, in particular to a grid structure optimization method based on load peak shifting.
Background
With the improvement of the living standard of people, the power load is rapidly increased, the peak-valley difference of the power grid load is continuously increased, the current power distribution equipment is designed according to the peak load demand, but the peak load duration is short, the utilization rate of a line is low, and certain waste is caused. For different types of electrical loads, their peak and valley times are not the same, and for the same type of load, the highest load generally occurs at a fixed time period, and in other time periods, the load is not high. Therefore, a new grid structure optimization method needs to be explored to utilize the peak and valley load characteristics of different types of loads to the maximum extent and improve the utilization rate of lines, line intervals and the like.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides a grid structure optimization method based on load peak shifting, and improves the utilization rate of outgoing line intervals and the like of lines and transformer substations.
The purpose of the invention is realized by the following technical scheme:
a grid structure optimization method based on load peak shifting comprises the following steps:
the method comprises the following steps: collecting daily load characteristic data of each ring website by taking the ring website of the distribution automation master station as a minimum unit, and calculating the daily load characteristic data of each ring website to obtain the daily load characteristic curve data of each ring website;
step two: the automatic association function of the power distribution automation master station program is started, and the automatic association function specifically comprises the following steps: taking the maximum number of the associated target lines, the maximum capacity of the associated target lines, the maximum N-1 capacity of the looped network lines and the minimum load rate as constraint conditions, and carrying out permutation and combination processing on the program associated lines and the switching stations, wherein each permutation and combination formed line is sequenced from high to low according to the load rate, and each permutation and combination formed line is used as a grid structure optimization candidate scheme;
step three: and (3) with the ring network station of the distribution automation main station as a minimum unit, calculating daily load characteristic data of the grid structure optimization candidate scheme to obtain daily load characteristic curve data of the grid structure optimization candidate scheme, and selecting an optimal grid structure optimization scheme according to the daily load characteristic curve data of the grid structure optimization candidate scheme.
By analyzing the daily load characteristic data of each ring website, a new line is constructed, so that the power distribution equipment planned and designed according to the peak load demand can be utilized to the maximum extent. When the space truss structure optimization candidate scheme is provided, all the lines meeting the constraint conditions are used as a space truss structure optimization scheme, and the load rates of the lines are sorted from top to bottom so as to facilitate selection of the optimal space truss structure optimization scheme for subsequent selection. By comparing the curve characteristic data, the advantages and disadvantages of the grid structure optimization candidate schemes can be more visually seen.
Furthermore, each line in the ring network of the space truss structure optimization candidate scheme is connected with a ring network station with at least one load characteristic.
Different types of loads have different peak time periods, and lines with different types of load characteristics are connected, so that the line load is always in a peak state as much as possible, the line utilization rate is improved, and the load waste is reduced.
Further, the step three of selecting the optimal grid structure optimization scheme according to the daily load characteristic curve data of the grid structure optimization candidate scheme specifically includes the following steps:
1.1, calculating to obtain daily load curve variance values of all grid structure optimization candidate schemes;
1.2, sorting the variance values in a sequence from low to high;
1.3, selecting the space truss structure optimization scheme with the minimum variance value as the optimal space truss structure optimization scheme.
The smaller the variance value is, the closer the daily load curve is to a straight line, and the daily load curve close to the straight line shows that the line load service condition is always in a peak state under the space truss structure optimization scheme, so that the load utilization rate is highest.
Further, the daily load characteristic data of each ring network station in the first step includes load data of a switch station ring-in switch in each ring network station, load data of a switch station ring-out switch in each ring network station, and each distribution network bus load.
Further, the distribution network bus load is calculated by the following steps:
2.1 searching a switch on a backbone path of the ring website according to the static topology;
2.2, obtaining the corresponding relation between the distribution network bus and the distribution network switch on the main path by analyzing the connection relation between the switch station to which the distribution network switch belongs and the corresponding node;
2.3, historical sampling data of the distribution network switches on the corresponding trunk paths are obtained, the distribution network switch with the largest historical sampling data is a loop-in switch, and other distribution network switches are loop-out switches;
and 2.4, the load difference value between the ring-in switch position of the switching station and the ring-out switch position of the switching station is the distribution network bus load corresponding to the switching station.
The load service conditions in the ring network station need to be accurately acquired, so that the use peaks of different types of loads can be accurately mastered, and the construction efficiency of the grid structure optimization scheme is improved.
Further, the grid structure optimization candidate schemes are checked through load rate out-of-limit checking, ring network N-1 out-of-limit checking and checking whether the line load rate is larger than the lowest target load rate.
The safety of the wiring of the grid structure optimization candidate scheme is guaranteed, and the situation that faults such as line overload occur after the optimization is carried out according to the grid structure optimization candidate scheme is prevented.
Furthermore, when the arrangement combination processing of the program association circuit and the switch station is carried out in the step two, the necessary reserved circuit and the switch station fixed on the necessary reserved circuit are eliminated.
In order to optimize the grid structure, it is necessary to reserve necessary lines and switching stations on the lines, and to adjust the grid structure by adding other load characteristic lines mainly to the necessary lines and switching stations on the lines.
Further, the candidate grid structure optimization scheme comprises ring network station wiring recombination and ring network station wiring interval recombination.
The grid structure optimization candidate scheme not only designs line recombination, but also designs a wiring interval, and due to the continuous development of cities, the interval resources of power substations and the pipe gallery resources are increasingly tense, so that the new line interval design is unrealistic, the recombination design is directly carried out according to the existing wiring interval, and the resources are saved.
Further, a standby ring network station wiring interval is generated when the ring network station wiring interval is recombined, and the standby ring network station wiring interval is vacant.
The original wiring space is vacant, and can be reused when carrying out other optimization.
Furthermore, when the permutation and combination of the program association circuit and the switching station are carried out, the in-circuit switching station is formed after the permutation and combination is eliminated.
And the in-line switching stations formed after the arrangement and the combination are eliminated, so that the workload of the arrangement and the combination is reduced, and the optimization process is simplified.
The invention has the beneficial effects that:
the peak time quantum of utilizing the load of different grade type is different, through carrying out optimization transformation to spatial grid structure, is in the peak state with the circuit load rate for a long time, improves the circuit utilization ratio, and not only recombinates the circuit, still recombinates the design to the looped netowrk line interval under the prerequisite of not detaching original looped netowrk line interval, still reduces the waste to line interval resource, piping lane resource when optimizing the wiring. The method visually expresses the achievement of the space truss structure optimization scheme by adopting a load curve mode, visually saves the calculation time, and greatly improves the scheme selection efficiency.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a graph comparing load characteristics before and after optimization according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the figures and examples.
Example (b):
a grid structure optimization method based on load peak shifting, as shown in fig. 1, includes the following steps:
the method comprises the following steps: collecting daily load characteristic data of each ring website by taking the ring website of the distribution automation master station as a minimum unit, and calculating the daily load characteristic data of each ring website to obtain the daily load characteristic curve data of each ring website;
step two: the automatic association function of the power distribution automation master station program is started, and the automatic association function specifically comprises the following steps: taking the maximum number of the associated target lines, the maximum capacity of the associated target lines, the maximum N-1 capacity of the looped network lines and the minimum load rate as constraint conditions, and carrying out permutation and combination processing on the program associated lines and the switching stations, wherein each permutation and combination formed line is sequenced from high to low according to the load rate, and each permutation and combination formed line is used as a grid optimization candidate scheme; when the permutation and combination processing of the program association line and the switchyard is carried out, the necessary reserved line and the switchyard fixed on the necessary reserved line are excluded, the load rate of the switchyard bus fixed on the necessary reserved line is used as the initial load rate, and the switchyard belonging to the bus with the largest or smallest initial load increase is selected as the object of the permutation and combination of the program association line, so as to reduce the calculation amount of the permutation and combination.
Step three: based on the distribution automation main station, the ring network station is used as the minimum unit, daily load characteristic curve data of the grid structure optimization candidate scheme is obtained by calculating daily load characteristic data of the grid structure optimization candidate scheme, the optimal grid structure optimization scheme is selected according to the daily load characteristic curve data of the grid structure optimization candidate scheme, and the reserved line and the recombined line of the optimal grid structure optimization scheme are distinguished through colors, so that the work of constructors can be conveniently carried out.
And each line in the ring network of the grid structure optimization candidate scheme is connected with a ring network station with two load characteristics, namely a pure industrial load characteristic ring network station and a pure residential load characteristic ring network station.
In the third step, the selecting the optimal space truss structure optimization scheme according to the space truss structure optimization candidate scheme daily load characteristic curve data specifically comprises the following steps:
1.1, calculating to obtain daily load curve variance values of all grid structure optimization candidate schemes;
1.2, sorting the variance values in a sequence from low to high;
1.3, selecting the space truss structure optimization scheme with the minimum variance value as the optimal space truss structure optimization scheme.
As shown in fig. 2, after the optimal grid structure optimization scheme is selected, the load characteristic curve obtained after optimization is closer to a straight line than the load characteristic curve before optimization, that is, the line load service conditions are always more balanced, the electricity consumption valley time period is shorter, and the line utilization rate is fully improved.
The daily load characteristic data of each ring network station in the step one comprise load data of a switch station ring-in switch in each ring network station, load data of a switch station ring-out switch and each distribution network bus load.
The distribution network bus load is obtained by calculation through the following steps:
2.1 searching a switch on a backbone path of the ring website according to the static topology;
2.2, obtaining the corresponding relation between the distribution network bus and the distribution network switch on the main path by analyzing the connection relation between the switch station to which the distribution network switch belongs and the corresponding node;
2.3, historical sampling data of the distribution network switches on the corresponding trunk paths are obtained, the distribution network switch with the largest historical sampling data is a loop-in switch, and other distribution network switches are loop-out switches;
and 2.4, the load difference value between the ring-in switch position of the switching station and the ring-out switch position of the switching station is the distribution network bus load corresponding to the switching station.
And the grid structure optimization candidate schemes are checked through load rate out-of-limit checking, ring network N-1 out-of-limit checking and checking whether the line load rate is greater than the lowest target load rate.
The candidate network frame optimization scheme comprises ring network station wiring recombination and ring network station wiring interval recombination.
And generating a standby ring network station wiring interval when the ring network station wiring interval is recombined, wherein the standby ring network station wiring interval is vacant.
And eliminating the completed permutation and combination to form the in-circuit switching station when the permutation and combination of the program association circuit and the switching station are carried out.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.

Claims (10)

1. A grid structure optimization method based on load peak shifting is characterized by comprising the following steps:
the method comprises the following steps: collecting daily load characteristic data of each ring website by taking the ring website of the distribution automation master station as a minimum unit, and calculating the daily load characteristic data of each ring website to obtain the daily load characteristic curve data of each ring website;
step two: the automatic association function of the power distribution automation master station program is started, and the automatic association function specifically comprises the following steps: taking the maximum number of the associated target lines, the maximum capacity of the associated target lines, the maximum N-1 capacity of the looped network lines and the minimum load rate as constraint conditions, and carrying out permutation and combination processing on the program associated lines and the switching stations, wherein the lines formed by each permutation and combination are sequenced from high to low according to the load rate, and each communication permutation and combination forms a line as a grid optimization candidate scheme;
step three: and (3) with the ring network station of the distribution automation main station as a minimum unit, calculating daily load characteristic data of the grid structure optimization candidate scheme to obtain daily load characteristic curve data of the grid structure optimization candidate scheme, and selecting an optimal grid structure optimization scheme according to the daily load characteristic curve data of the grid structure optimization candidate scheme.
2. The method as claimed in claim 1, wherein each line in the ring network of the candidate space truss structure optimization scheme is connected with a ring network station with at least one load characteristic.
3. The method according to claim 1, wherein the step three of selecting the optimal grid structure optimization scheme according to the daily load characteristic curve data of the grid structure optimization candidate scheme specifically includes the following steps:
1.1, calculating to obtain daily load curve variance values of all grid structure optimization candidate schemes;
1.2, sorting the variance values in a sequence from low to high;
1.3, selecting the space truss structure optimization scheme with the minimum variance value as the optimal space truss structure optimization scheme.
4. The method according to claim 1, wherein the daily load characteristic data of each ring network station in the first step includes load data of a switch station ring-in switch in each ring network station, load data of a switch station ring-out switch and load of each distribution network bus.
5. The grid structure optimization method based on load peak shifting according to claim 4, wherein the load of the distribution network bus is calculated by the following steps:
2.1 searching a switch on a backbone path of the ring website according to the static topology;
2.2, obtaining the corresponding relation between the distribution network bus and the distribution network switch on the main path by analyzing the connection relation between the switch station to which the distribution network switch belongs and the corresponding node;
2.3, historical sampling data of the distribution network switches on the corresponding trunk paths are obtained, the distribution network switch with the largest historical sampling data is a loop-in switch, and other distribution network switches are loop-out switches;
and 2.4, the load difference value between the ring-in switch position of the switching station and the ring-out switch position of the switching station is the distribution network bus load corresponding to the switching station.
6. The method as claimed in claim 1, wherein the line verification includes a load rate out-of-limit verification, a ring network N-1 out-of-limit verification, and a verification whether the line load rate is greater than a minimum target load rate condition.
7. The method for optimizing a grid structure based on load shifting according to claim 1, wherein when the permutation and combination process of the programmed association circuit and the switchyard is performed in the second step, the necessary reserved circuit and the switchyard fixed on the necessary reserved circuit are excluded.
8. The method as claimed in claim 1, wherein the candidate solution for rack optimization includes ring network station connection reorganization and ring network station connection interval reorganization.
9. The method as claimed in claim 7, wherein the ring network station wiring interval recombination generates a standby ring network station wiring interval, and the standby ring network station wiring interval is vacant.
10. The grid structure optimization method based on load shifting according to claim 1, wherein the verified permutation and combination is excluded to form an inline switchyard when the permutation and combination of the programmed association line and the switchyard are performed.
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CN117236530A (en) * 2023-11-16 2023-12-15 国网湖北省电力有限公司 Power energy optimization method based on 4G/5G short sharing power wireless communication
CN118295763A (en) * 2024-06-06 2024-07-05 邯郸鉴晨网络科技有限公司 Website construction system and method

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CN117236530A (en) * 2023-11-16 2023-12-15 国网湖北省电力有限公司 Power energy optimization method based on 4G/5G short sharing power wireless communication
CN117236530B (en) * 2023-11-16 2024-02-09 国网湖北省电力有限公司 Power energy optimization method based on 4G/5G short sharing power wireless communication
CN118295763A (en) * 2024-06-06 2024-07-05 邯郸鉴晨网络科技有限公司 Website construction system and method
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