CN110048431B - Reactive power optimization method, device, equipment and storage medium for power distribution network - Google Patents

Reactive power optimization method, device, equipment and storage medium for power distribution network Download PDF

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CN110048431B
CN110048431B CN201910265334.4A CN201910265334A CN110048431B CN 110048431 B CN110048431 B CN 110048431B CN 201910265334 A CN201910265334 A CN 201910265334A CN 110048431 B CN110048431 B CN 110048431B
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searching
search
initial point
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reactive power
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CN110048431A (en
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曹琬钰
周诗嘉
李广凯
朱喆
周月宾
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China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid Co Ltd
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China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid 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
    • H02J3/18Arrangements for adjusting, eliminating or compensating reactive power in networks
    • 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
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30Reactive power compensation

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  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a reactive power optimization method of a power distribution network, which is characterized by comprising the following steps: obtaining reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions; selecting an initial point from a plurality of reactive powers, searching the initial point along a first initial searching direction according to a preset searching mode to obtain a searching point, and searching the searching point as the initial point along other searching directions in a searching direction set according to the preset searching mode until the searching direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method; and if the search point obtained by final search according to the preset search mode meets the convergence condition, terminating the search to obtain the optimal value of the reactive power. The invention adopts a plurality of embodiments, and solves the problem that the network loss and the feeder load are overlarge to cause unsafe power distribution network system in the prior art.

Description

Reactive power optimization method, device, equipment and storage medium for power distribution network
Technical Field
The invention relates to the technical field of power distribution, in particular to a reactive power optimization method, a reactive power optimization device, reactive power optimization equipment and a storage medium of a power distribution network.
Background
The reactive power optimization of the power system is an effective means for ensuring the safe and economic operation of the system, and is an important measure for reducing the active power loss of the network and improving the operation quality of the network. In recent years, with a series of increasingly severe problems such as climate change, environmental pollution and the like, clean energy distributed power generation becomes a research hotspot of students in all countries in the world as an environment-friendly, efficient and reliable power supply mode. At present, a large amount of distributed power generation, such as photovoltaic power generation, wind power generation and the like, is connected into a power grid through a power electronic device, and flexible power grid flow control can be provided. Among them, how to rapidly provide continuously adjustable reactive power support for the grid is a problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a reactive power optimization method, a reactive power optimization device, equipment and a storage medium for a power distribution network, which can effectively solve the problem that a power distribution network system is unsafe due to network loss and overlarge feeder load in the prior art.
An embodiment of the present invention provides a reactive power optimization method for a power distribution network, including:
obtaining reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions;
selecting an initial point from the plurality of reactive powers, searching the initial point along a first initial searching direction according to a preset searching mode to obtain a searching point, and searching the searching point as the initial point along other searching directions in the searching direction set according to the preset searching mode until the searching direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method;
and if the search point finally obtained by searching according to the preset search mode meets the convergence condition, stopping searching to obtain the optimal value of the reactive power.
As an improvement of the above, the method further comprises:
if the search point obtained by final search according to the preset search mode does not meet the convergence condition, obtaining the conjugate direction according to the first relation between the search point obtained by final search and the initial point of the same search;
comparing the value of the initial point with the searched value, and replacing the search direction with the minimum difference between the value of the initial point and the searched value with the conjugate direction;
and searching according to a preset searching mode along the conjugate direction to obtain a termination point, and if the termination point meets a convergence condition, terminating the search to obtain an optimal value of the reactive power.
As an improvement of the above scheme, the one-dimensional minimum search in the golden section method specifically includes:
solving a first coefficient through a preset target function; and taking the first coefficient as a next calculation to obtain a next initial point.
Another embodiment of the present invention correspondingly provides a reactive power optimization method and apparatus for a power distribution network, including:
the acquisition module is used for acquiring reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions;
the first processing module is used for selecting an initial point from the plurality of reactive powers, searching the initial point along a first initial searching direction according to a preset searching mode to obtain a next initial point, and searching the next initial point along other searching directions in the searching direction set according to a preset searching mode until the searching direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method;
and the first judgment module is used for terminating the search to obtain the optimal value of the reactive power if the next initial point finally obtained by searching according to the preset search mode meets the convergence condition.
As an improvement of the above scheme, the method further comprises the following steps:
the second processing module is used for obtaining a conjugate direction according to a first relation between the next initial point obtained by final search and the initial point if the next initial point obtained by final search according to the preset search mode does not meet a convergence condition;
comparing the value of the initial point with the searched value, and replacing the search direction with the minimum difference between the value of the initial point and the searched value with the conjugate direction;
and the second judgment module is used for searching along the conjugate direction according to a preset searching mode to obtain a termination point, and if the termination point meets a convergence condition, stopping the searching to obtain an optimal value of the reactive power.
Another embodiment of the present invention correspondingly provides a reactive power optimization terminal device for a power distribution network, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the processor implements the reactive power optimization method for the power distribution network according to any one of claims 1 to 3.
Another embodiment of the present invention correspondingly provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, the apparatus on which the computer-readable storage medium is located is controlled to execute the reactive power optimization method for the power distribution network according to any one of claims 1 to 3.
Compared with the prior art, the reactive power optimization method for the power distribution network disclosed by the embodiment of the invention searches the values meeting the convergence condition in each direction in the established search set, the convergence condition is the optimal value of the reactive power, and the network loss and the feeder load of the power distribution network are minimized by controlling the values of the reactive power, so that the reliability of the power distribution network is improved.
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Fig. 1 is a schematic flow chart of a reactive power optimization method for a power distribution network according to an embodiment of the present invention;
fig. 2 is a specific implementation diagram of a reactive power optimization method for a power distribution network according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a reactive power optimization device of a power distribution network according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a reactive power optimization device of a power distribution network according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
A reactive power optimization method for a power distribution network comprises the following steps:
s1, obtaining reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the search direction set comprises a plurality of linearly independent search directions, wherein, in the present embodiment, the reactive power is a reactive power support value provided by a distributed generator capable of implementing reactive power control.
Specifically, where X ═ QDG_1,…,QDG_n,]One reactive power is selected as X1Wherein Q isDGRepresenting reactive power, establishing a set of search directions
Figure BDA0002016614350000041
Wherein D is1For the search direction, the search direction is a preset linearly independent coordinate direction.
S2, selecting an initial point from the plurality of reactive powers, searching the initial point along a first initial searching direction according to a preset searching mode to obtain a searching point, and searching the searching point as the initial point along other searching directions in the searching direction set according to the preset searching mode until the searching direction set is searched; the preset search mode is a minimum one-dimensional search of a golden section method.
It should be noted that F appearing later in the present embodiment represents Minimize F (x) ═ PT,Loss
Figure BDA0002016614350000042
Wherein r iskIs a line resistance, PkIs the active power, QkIs reactive power, VkVoltage of branch line k, nlIs the total number of branches of the network; active workThe rate is known and the voltage of branch k is read by the meter.
By Min
Figure BDA0002016614350000043
Obtaining lambda;
bringing the derived lambda into
Figure BDA0002016614350000051
In (1),
Figure BDA0002016614350000052
is composed of
Figure BDA0002016614350000053
And S3, if the next initial point obtained by final searching according to the preset searching mode meets the convergence condition, terminating the searching to obtain the optimal value of the reactive power.
Specifically, the convergence condition is
Figure BDA0002016614350000054
(self-setting minimum), epsilon is a preset allowable error value.
The working principle is as follows:
the value meeting the convergence condition is searched in each direction of the established search set, the condition meeting the convergence condition is the optimal value of the reactive power, and the value of the reactive power is controlled to enable the network loss and the feeder load of the power distribution network to be minimum, so that the reliability of the power distribution network is improved.
In consideration of the complexity of power grid load flow calculation, in the traditional power grid operation optimization solution, the conductibility and derivation complexity of a target equation are important consideration factors, and the method is not dependent on the derivative solution of the target equation, so that the method can be simply and directly suitable for different power grid operation optimizations, including the lowest grid loss, the optimal feeder line balance rate and the like.
As an improvement of the above, the method further comprises:
if the next initial point obtained by final searching according to the preset searching mode does not meet the convergence condition, obtaining the conjugate direction according to the first relation between the next initial point and the initial point obtained by final searching;
specifically, the first relationship is
Figure BDA0002016614350000055
The direction of the conjugation is obtained,
Figure BDA0002016614350000056
is the conjugate direction.
And comparing the value of the initial point with the searched value, and replacing the search direction with the minimum difference between the value of the initial point and the searched value with the conjugate direction.
In particular, by
Figure BDA0002016614350000057
M is more than or equal to 1 and less than or equal to n, and the searching direction with the minimum difference between the value of the initial point and the value after searching is obtained.
And searching according to a preset searching mode along the conjugate direction to obtain a termination point, and if the termination point meets a convergence condition, terminating the search to obtain an optimal value of the reactive power.
Adding conjugate directions to a set of search directions
Figure BDA0002016614350000058
Reuse of
Min
Figure BDA0002016614350000059
Continuing the search in the conjugate direction, where
Figure BDA0002016614350000061
Is composed of
Figure BDA0002016614350000062
Finding the minimum
Figure BDA0002016614350000063
I.e. finding the optimal solution for the reactive power.
As an improvement of the above scheme, the one-dimensional minimum search in the golden section method specifically includes:
solving a first coefficient through a preset target function; and taking the first coefficient as a next calculation to obtain a next initial point.
Illustratively, referring to FIG. 2, the search directions are concentrated in three directions X, Y, Z to
Figure BDA0002016614350000064
For reactive power, searching along X-axis direction
Figure BDA0002016614350000065
Continuing to search along the Y-axis direction to obtain
Figure BDA0002016614350000066
Continuing to search along the Z-axis direction to obtain
Figure BDA0002016614350000067
Then obtaining the conjugate direction
Figure BDA0002016614350000068
Edge of
Figure BDA0002016614350000069
Direction is searched for the minimum value
Figure BDA00020166143500000610
Updating the set of search directions simultaneously (i.e. using conjugate directions)
Figure BDA00020166143500000611
The direction with the minimum one-dimensional optimal search optimization value in the original search direction set is replaced), for example, the change of the Y-axis search optimization value is minimum, and the new search direction set is X,
Figure BDA00020166143500000612
Z three directions;
after calculation and verification, if the convergence condition is satisfiedIs not reached to
Figure BDA00020166143500000613
As an initial point, X,
Figure BDA00020166143500000614
Performing a second iteration for the new Z direction;
and repeating for multiple times until a convergence condition is reached, stopping searching, and outputting a result.
Fig. 3 is a schematic structural diagram of a reactive power optimization device for a power distribution network according to an embodiment of the present invention.
Another embodiment of the present invention correspondingly provides a reactive power optimization method and apparatus for a power distribution network, including:
the acquisition module 1 is used for acquiring reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions.
The first processing module 2 is configured to select an initial point from the plurality of reactive powers, search the initial point along a first initial search direction according to a preset search manner to obtain a search point, and search the search point as the initial point along other search directions in the search direction set according to the preset search manner until the search direction set is searched; the preset search mode is a minimum one-dimensional search of a golden section method.
And the first judgment module 3 is configured to terminate the search to obtain the optimal value of the reactive power if the next initial point obtained by the final search according to the preset search mode satisfies the convergence condition.
As an improvement of the above scheme, the method further comprises the following steps:
and the second processing module is used for obtaining the conjugate direction according to the first relation between the search point obtained by the last search and the initial point of the same search if the search point obtained by the last search according to the preset search mode does not meet the convergence condition.
And comparing the value of the initial point with the searched value, and replacing the search direction with the minimum difference between the value of the initial point and the searched value with the conjugate direction.
And the second judgment module is used for searching along the conjugate direction according to a preset searching mode to obtain a termination point, and if the termination point meets a convergence condition, stopping the searching to obtain an optimal value of the reactive power.
The invention discloses a reactive power optimization method and device of a power distribution network, which are disclosed by another embodiment, the method and device search values meeting the convergence condition, namely the optimal value of the reactive power, in each direction of the established search set, and the network loss and the feeder load of the power distribution network are minimized by controlling the value of the reactive power, so that the reliability of the power distribution network is improved.
Fig. 4 is a schematic diagram of a reactive power optimization terminal device of a power distribution network according to an embodiment of the present invention. The reactive power optimization terminal device of the power distribution network of this embodiment includes: a processor, a memory 12 and a computer program stored in said memory and executable on said processor. When the processor executes the computer program, the steps in the above embodiments of the reactive power optimization method for the power distribution networks are implemented, for example, step S1 shown in fig. 1, obtaining reactive powers of a plurality of power distribution networks, and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions; s2, selecting an initial point from the plurality of reactive powers, searching the initial point along a first initial searching direction according to a preset searching mode to obtain a searching point, and searching the searching point as the initial point along other searching directions in the searching direction set according to the preset searching mode until the searching direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method; and S3, if the next initial point obtained by final searching according to the preset searching mode meets the convergence condition, terminating the searching to obtain the optimal value of the reactive power. Or, the processor implements the functions of each module/unit in the above device embodiments when executing the computer program, for example, the obtaining module 1 is configured to obtain reactive powers of a plurality of power distribution networks, and establish a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions; the first processing module 2 is configured to select an initial point from the plurality of reactive powers, search the initial point along a first initial search direction according to a preset search manner to obtain a search point, and search the search point as the initial point along other search directions in the search direction set according to the preset search manner until the search direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method; and the first judgment module is used for terminating the search to obtain the optimal value of the reactive power if the next initial point finally obtained by searching according to the preset search mode meets the convergence condition.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program in the reactive power optimization terminal device of the power distribution network. For example, the computer program may be divided into an acquisition module 1, a first processing module 2, and a first determination module 3, and the specific functions of each module are as follows: the acquisition module 1 is used for acquiring reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions; the first processing module 2 is configured to select an initial point from the plurality of reactive powers, search the initial point along a first initial search direction according to a preset search manner to obtain a search point, and search the search point as the initial point along other search directions in the search direction set according to the preset search manner until the search direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method; and the first judgment module 3 is configured to terminate the search to obtain the optimal value of the reactive power if the next initial point obtained by the final search according to the preset search mode satisfies the convergence condition.
The reactive power optimization terminal equipment of the power distribution network can be computing equipment such as a desktop computer, a notebook computer, a palm computer and a cloud server. The reactive power optimization terminal device of the power distribution network can include, but is not limited to, a processor 11 and a memory. It will be appreciated by a person skilled in the art that the schematic diagram is merely an example of a reactive power optimizing terminal device of an electricity distribution network and does not constitute a limitation of a reactive power optimizing terminal device of an electricity distribution network, and may comprise more or less components than those shown, or some components in combination, or different components, for example, the reactive power optimizing terminal device of the electricity distribution network may further comprise input and output devices, network access devices, buses, etc.
The Processor 11 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 11 is a control center of the reactive power optimization terminal equipment of the distribution network, and various interfaces and lines are used to connect various parts of the reactive power optimization terminal equipment of the whole distribution network.
The memory 12 may be used to store the computer programs and/or modules, and the processor 11 implements various functions of the reactive power optimization terminal device of the power distribution network by running or executing the computer programs and/or modules stored in the memory 12 and calling up the data stored in the memory. The memory 12 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 12 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The module/unit integrated with the reactive power optimization terminal device of the power distribution network can be stored in a computer readable storage medium if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by the processor 11 to implement the steps of the above embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (5)

1. A reactive power optimization method for a power distribution network is characterized by comprising the following steps:
obtaining reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions;
selecting an initial point from the plurality of reactive powers, searching the initial point along a first initial searching direction according to a preset searching mode to obtain a searching point, and searching the searching point as the initial point along other searching directions in the searching direction set according to the preset searching mode until the searching direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method;
if the search point obtained by final search according to the preset search mode meets the convergence condition, terminating the search to obtain the optimal value of the reactive power;
the method further comprises the following steps:
if the search point obtained by final search according to the preset search mode does not meet the convergence condition, obtaining the conjugate direction according to the first relation between the search point obtained by final search and the initial point of the same search;
comparing the value of the initial point with the searched value, and replacing the search direction with the minimum difference between the value of the initial point and the searched value with the conjugate direction;
and searching according to a preset searching mode along the conjugate direction to obtain a termination point, and if the termination point meets a convergence condition, terminating the search to obtain an optimal value of the reactive power.
2. The reactive power optimization method for the power distribution network according to claim 1, wherein the one-dimensional search for the minimum value in the golden section method specifically comprises:
solving a first coefficient through a preset target function; and taking the first coefficient as a next calculation to obtain a next initial point.
3. A reactive power optimization method device of a power distribution network is characterized by comprising the following steps:
the acquisition module is used for acquiring reactive power of a plurality of power distribution networks and establishing a search direction set; wherein the set of search directions comprises a plurality of linearly independent search directions;
the first processing module is used for selecting an initial point from the plurality of reactive powers, searching the initial point along a first initial searching direction according to a preset searching mode to obtain a next initial point, and searching the next initial point along other searching directions in the searching direction set according to a preset searching mode until the searching direction set is searched; the preset searching mode is a minimum one-dimensional searching of a golden section method;
the first judgment module is used for stopping the search to obtain the optimal value of the reactive power if the next initial point obtained by the final search according to the preset search mode meets the convergence condition;
the device further comprises:
the second processing module is used for obtaining a conjugate direction according to a first relation between the next initial point obtained by final search and the initial point if the next initial point obtained by final search according to the preset search mode does not meet a convergence condition;
comparing the value of the initial point with the searched value, and replacing the search direction with the minimum difference between the value of the initial point and the searched value with the conjugate direction;
and the second judgment module is used for searching along the conjugate direction according to a preset searching mode to obtain a termination point, and if the termination point meets a convergence condition, stopping the searching to obtain an optimal value of the reactive power.
4. A reactive power optimization device of an electric power distribution network, characterized by comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the reactive power optimization method of the electric power distribution network according to any one of claims 1 to 2 when executing the computer program.
5. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus of the computer-readable storage medium to perform the method for reactive power optimization of an electrical distribution network according to any one of claims 1 to 2.
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