CN112803433A - Receiving-end main network frame dynamic reactive power supply configuration capacity calculation method and device - Google Patents

Receiving-end main network frame dynamic reactive power supply configuration capacity calculation method and device Download PDF

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CN112803433A
CN112803433A CN202011635255.7A CN202011635255A CN112803433A CN 112803433 A CN112803433 A CN 112803433A CN 202011635255 A CN202011635255 A CN 202011635255A CN 112803433 A CN112803433 A CN 112803433A
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reactive power
dynamic reactive
power supply
accident
capacity
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Inventor
袁博
葛朝晖
杨宏伟
吴鹏
邢琳
邵华
王颖
张帅
胡源
王朔
李燕
李军阔
陈彦洁
张骥
张红梅
段利锋
吴海亮
李明富
王丽欢
李亮玉
郑紫尧
程楠
王亚敏
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Hebei Huizhi Electric Power Engineering Design Co ltd
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Hebei Electric Power Co Ltd
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Hebei Huizhi Electric Power Engineering Design Co ltd
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Hebei Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30—Reactive power compensation

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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention is suitable for the technical field of electric power, and provides a receiving end main network frame dynamic reactive power supply configuration capacity calculation method and a device, wherein the method comprises the following steps: acquiring a configuration node; respectively calculating the corresponding total expenditure expense of the configuration nodes when the dynamic reactive power supplies with different preset capacities are configured; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply; fitting the preset capacity and the total expenditure expense to obtain a functional relation curve of the capacity of the dynamic reactive power supply and the total expenditure expense; and calculating the minimum value of the total expenditure cost based on the function relation curve, and determining the dynamic reactive power supply capacity corresponding to the minimum value of the total expenditure cost as the configuration capacity of the dynamic reactive power supply. The method can calculate and obtain the proper dynamic reactive power supply capacity, ensures that the power grid has higher stability and saves the input cost.

Description

Receiving-end main network frame dynamic reactive power supply configuration capacity calculation method and device
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a receiving end main network frame dynamic reactive power supply configuration capacity calculation method and device.
Background
The dynamic reactive power optimization configuration technology of the receiving end main network frame is to reasonably configure a dynamic reactive power supply in the receiving end main network frame to ensure the voltage stability of a power grid in operation.
However, the inventors of the present application have found that when configuring the dynamic reactive power supply for the bus bar nodes in the receiving main grid rack, the capacity of the dynamic reactive power supply is usually determined by a worker according to manual experience, with great uncertainty. If the capacity of the dynamic reactive power supply is too small, large economic loss can be caused to power utilization groups when voltage sag occurs in a power grid, and if the capacity of the dynamic reactive power supply is too large, the input cost is high.
Disclosure of Invention
In view of this, embodiments of the present invention provide a receiving-end main framework dynamic reactive power configuration capacity calculation method and apparatus, so as to solve the problem in the prior art that a suitable receiving-end main framework dynamic reactive power configuration capacity cannot be determined.
The first aspect of the embodiment of the invention provides a receiving end main framework dynamic reactive power supply configuration capacity calculation method, which comprises the following steps:
acquiring a configuration node; the configuration node is a bus node of a receiving end main network frame to be configured with the dynamic reactive power supply;
respectively calculating the corresponding total expenditure expense of the configuration nodes when the dynamic reactive power supplies with different preset capacities are configured; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply;
fitting the preset capacity and the total expenditure expense to obtain a functional relation curve of the capacity of the dynamic reactive power supply and the total expenditure expense;
and calculating the minimum value of the total expenditure cost based on the function relation curve, and determining the dynamic reactive power supply capacity corresponding to the minimum value of the total expenditure cost as the configuration capacity of the dynamic reactive power supply.
A second aspect of the embodiments of the present invention provides a receiving-end main framework dynamic reactive power supply configuration capacity calculation apparatus, including:
an obtaining module, configured to obtain a configuration node; the configuration node is a bus node of a receiving end main network frame to be configured with the dynamic reactive power supply;
the calculation module is used for respectively calculating the corresponding total expenditure expense of the configuration nodes when the dynamic reactive power supplies with different preset capacities are configured; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply;
the fitting module is used for fitting the preset capacity and the total expenditure cost to obtain a functional relation curve of the capacity of the dynamic reactive power supply and the total expenditure cost;
and the configuration capacity determining module is used for calculating the minimum value of the objective function value based on the function relation curve and determining the dynamic reactive power supply capacity corresponding to the minimum value of the objective function value as the configuration capacity of the dynamic reactive power supply.
A third aspect of the embodiments of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the computer program, implements the steps of the above receiving-end main network rack dynamic reactive power configuration capacity calculation method.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the receiving-end main grid dynamic reactive power supply configuration capacity calculation method are implemented.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the method, the total expenditure cost corresponding to the configuration node when the dynamic reactive power supply with different preset capacities is configured is calculated, the functional relation curve of the capacity of the dynamic reactive power supply and the total expenditure cost is fitted, the minimum value of the total expenditure cost is calculated according to the functional relation curve, and the capacity of the dynamic reactive power supply corresponding to the minimum value of the total expenditure cost is determined as the configuration capacity of the dynamic reactive power supply. The method can calculate and obtain the proper dynamic reactive power supply capacity, ensures that the power grid has higher stability and saves the input cost.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an implementation of a receiving-end main framework dynamic reactive power supply configuration capacity calculation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of severity ranking provided by an embodiment of the present invention;
FIG. 3 is a diagram illustrating a dynamic reactive power capability as a function of total cost according to an embodiment of the present invention;
fig. 4 is a diagram illustrating a structure of a receiving-end main framework dynamic reactive power configuration capacity calculation apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
A first aspect of an embodiment of the present invention provides a receiving-end main framework dynamic reactive power supply configuration capacity calculation method, as shown in fig. 1, the method specifically includes the following steps:
s101, acquiring a configuration node; the configuration node is a bus node of the receiving end main network frame to be configured with the dynamic reactive power supply.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation method provided in the first aspect of the embodiment of the present invention, before the configuration node is obtained, a process of determining the configuration node is further included, and the process of determining the configuration node may be detailed as follows:
acquiring a second preset accident set; the second preset accident set is a set of accidents affecting the voltage stability of the main grid frame bus of the receiving end;
performing static analysis and transient analysis on the second preset accident set to respectively obtain a static vulnerability index and a transient vulnerability index of each bus node in the receiving end main network frame;
determining a bus weak node according to the static vulnerability index and the transient vulnerability index of each bus node to obtain a bus weak node set;
and calculating track sensitivity indexes of all bus weak nodes in the bus weak node set, and selecting the bus weak node with the maximum track sensitivity index as a configuration node of the dynamic reactive power supply.
In the embodiment of the invention, after a common accident happens, the bus voltage in the main network frame at the receiving end is influenced by different degrees, and technicians can further identify the accident causing the bus voltage stability problem according to the stability of the bus voltage after the accident happens, and sum all the accidents possibly causing the bus voltage stability problem to form a second preset accident set.
Static analysis is carried out on all accidents in a second preset accident set to obtain static severity indexes of all accidents, accidents with larger static severity indexes are selected from the second preset accident set to form a static accident set, and then static vulnerability indexes of all bus nodes are calculated on the basis of the static accident set; similarly, transient state severity indexes of all accidents are obtained by performing transient state analysis on all accidents in the second preset accident set, the accidents with larger transient state severity indexes are selected from the second preset accident set to form the transient state accident set, and then the transient state vulnerability indexes of all bus nodes are calculated on the basis of the transient state accident set.
And finally, selecting the bus node with larger static vulnerability index and transient vulnerability index as the alternative node, calculating the track sensitivity index of each alternative node, and selecting the alternative node with the largest track sensitivity index as the configuration node of the dynamic reactive power supply.
Step S102, respectively calculating the corresponding total expenditure expense of the configuration nodes when the dynamic reactive power supplies with different preset capacities are configured; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation method provided in the first aspect of the embodiment of the present invention, when the configuration node configures a dynamic reactive power supply with a preset capacity, the method for calculating the investment cost of the dynamic reactive power supply includes:
Rs＝ρ(f+δ*C)
in the formula, RsThe investment cost of the dynamic reactive power supply is rho, the return on investment is rho, f is the installation cost of the dynamic reactive power supply, delta is the unit capacity price of the dynamic reactive power supply, and C is the capacity of the dynamic reactive power supply.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation method provided in the first aspect of the embodiment of the present invention, when a configuration node configures a dynamic reactive power supply with a preset capacity, the method for calculating a voltage sag loss cost corresponding to the dynamic reactive power supply includes:
acquiring a first preset accident set, wherein the first preset accident set is a set of accidents causing transient faults generated by voltages of configuration nodes;
simulating each accident in the first preset accident set to obtain a sag voltage value and a sag time of the configuration node under each accident;
determining the severity level of each accident based on the sag voltage value and the voltage sag time of each accident;
acquiring the almanac history data of each accident, determining the annual occurrence frequency and the occurrence probability of each severity grade of each accident according to the almanac history data of each accident, and determining the voltage sag loss cost corresponding to the dynamic reactive power supply according to the annual occurrence frequency and the occurrence probability of each severity grade of each accident.
Optionally, as a specific implementation manner of the receiving-end main grid dynamic reactive power supply configuration capacity calculation method provided in the first aspect of the embodiment of the present invention, determining the severity level of each accident based on the sag voltage value and the voltage sag time of each accident includes:
if the sag voltage value is larger than a first preset threshold value or the voltage sag time is smaller than a second preset threshold value, determining the severity level of the accident to be 0;
if the sag voltage value is smaller than a third preset threshold value and the voltage sag time is larger than a fourth preset threshold value, determining that the severity level of the accident is 1;
if the sag voltage value is between the first preset threshold and the third preset threshold and the voltage sag time is between the second preset threshold and the fourth preset threshold, determining the severity level of the accident as
Figure BDA0002878306790000061
Wherein Q is the severity level of the accident, U is the sag voltage value, T is the voltage sag time, and U ismaxIs a first predetermined threshold value, TminIs a second predetermined threshold value, UminIs a third predetermined threshold value, TmaxA fourth preset threshold, wherein the first preset threshold is greater than the third preset threshold, and the second preset threshold is smaller than the fourth preset threshold.
In the embodiment of the present invention, the actual voltage may be replaced with a per unit value for convenience of calculation. As shown in fig. 2, the per unit value of the normal voltage is 1, and a first preset threshold U can be setmax0.9, second preset threshold Tmin0.02, third preset threshold Umin0.6, fourth preset threshold Tmax0.3. When an accident occurs, if the sag voltage value (namely the voltage value after the voltage sag occurs) is larger than a first preset threshold value or the voltage sag time is smaller than a second preset threshold value, all sensitive loads can normally operate, so the severity level of the accident is 0; if the sag voltage value is smaller than a third preset threshold and the voltage sag time is larger than a fourth preset threshold, all sensitive loads are tripped, so that the severity level of the accident is 1; if the sag voltage value is between the first preset threshold and the third preset threshold, and the voltage sag time is between the second preset threshold and the fourth preset threshold, part of the sensitive load is tripped, and the severity level of the accident can be calculated according to the formula.
In addition, for the calculation of the severity level, based on the severity level calculation method provided by the above embodiment of the present invention, in another possible implementation manner, the voltage and the time may be segmented, and the severity level of the accident may be calculated according to the sag voltage value when the accident occurs and the segment to which the voltage sag time belongs. Specifically, as shown in table 1.
Figure BDA0002878306790000062
Correspondingly, the severity level corresponding to the normal zone is 0, the severity level corresponding to the fault zone is 1, and the calculation of the severity level of the uncertain zone can be expressed as
Figure BDA0002878306790000071
In the formula, QijTo a severe level, UiIs the average voltage value, T, of the segment to which the sag voltage value belongsjIs the time average of the segment to which the voltage sag time belongs.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation method provided in the first aspect of the embodiment of the present invention, before determining the voltage sag loss cost corresponding to the dynamic reactive power supply according to the annual occurrence number of each accident and the occurrence probability of each severity level, the method further includes determining the voltage sag loss cost corresponding to each severity level:
Figure BDA0002878306790000072
in the formula, EQThe voltage sag loss cost corresponding to the severity level Q is K, the loss coefficient is K, esp is an exponential curve, and sigma is a sensitivity parameter.
Optionally, as a specific implementation manner of the receiving-end main grid dynamic reactive power configuration capacity calculation method provided in the first aspect of the embodiment of the present invention, determining the voltage sag loss cost corresponding to the dynamic reactive power according to the annual occurrence number of each accident and the occurrence probability of each severity level, includes:
RC＝N*∑(PQ*EQ)
in the formula, RCThe voltage sag loss cost corresponding to the dynamic reactive power supply, N is the sum of annual occurrence times of all accidents, PQProbability of occurrence of severity level Q, EQThe voltage sag loss cost corresponding to the severity level Q.
And S103, fitting the preset capacity and the total expenditure cost to obtain a functional relation curve of the capacity of the dynamic reactive power supply and the total expenditure cost.
In the embodiment of the present invention, by setting dynamic reactive power sources with different preset capacities for the configuration nodes and calculating the total expenditure costs corresponding to the capacities of the dynamic reactive power sources, a functional relationship curve of the capacity C of the dynamic reactive power source and the total expenditure costs F can be fitted, and for example, the functional relationship curve of the capacity C of the dynamic reactive power source and the total expenditure costs F can be referred to as fig. 3.
And step S104, calculating the minimum value of the total expenditure cost based on the functional relation curve, and determining the dynamic reactive power capacity corresponding to the minimum value of the total expenditure cost as the configuration capacity of the dynamic reactive power.
From the above, the total expenditure costs corresponding to the configuration nodes in configuring the dynamic reactive power supplies with different preset capacities are calculated, a functional relation curve of the capacity of the dynamic reactive power supplies and the total expenditure costs is fitted, the minimum value of the total expenditure costs is calculated according to the functional relation curve, and the capacity of the dynamic reactive power supplies corresponding to the minimum value of the total expenditure costs is determined as the configuration capacity of the dynamic reactive power supplies. The method can calculate and obtain the proper dynamic reactive power supply capacity, ensures that the power grid has higher stability and saves the input cost.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
A second aspect of the embodiment of the present invention provides a receiving-end main framework dynamic reactive power configuration capacity calculation apparatus 4, which may specifically include:
an obtaining module 41, configured to obtain a configuration node; the configuration node is a bus node of the receiving end main network frame to be configured with the dynamic reactive power supply.
The calculating module 42 is configured to calculate total expenditure costs corresponding to the configuration nodes when configuring the dynamic reactive power supplies with different preset capacities, respectively; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply.
And the fitting module 43 is configured to fit the preset capacity and the total expenditure cost to obtain a functional relationship curve of the capacity of the dynamic reactive power source and the total expenditure cost.
And the configuration capacity determining module 44 is configured to calculate a minimum value of the objective function value based on the functional relationship curve, and determine a dynamic reactive power supply capacity corresponding to the minimum value of the objective function value as the configuration capacity of the dynamic reactive power supply.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation apparatus provided in the second aspect of the embodiment of the present invention, the calculation module 42 is further configured to calculate an investment cost of the dynamic reactive power supply when the configuration node configures the dynamic reactive power supply with the preset capacity
Rs＝ρ(f+δ*C)
In the formula, RsThe investment cost of the dynamic reactive power supply is rho, the return on investment is rho, f is the installation cost of the dynamic reactive power supply, delta is the unit capacity price of the dynamic reactive power supply, and C is the capacity of the dynamic reactive power supply.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation apparatus provided in the second aspect of the embodiment of the present invention, the calculation module 42 is further configured to calculate a voltage sag loss cost corresponding to the dynamic reactive power supply when the configuration node configures the dynamic reactive power supply with the preset capacity. Specifically, the calculation of the voltage sag loss cost corresponding to the dynamic reactive power supply may be detailed as follows:
acquiring a first preset accident set, wherein the first preset accident set is a set of accidents causing transient faults of the voltage of the configuration node;
simulating each accident in the first preset accident set to obtain a sag voltage value and a sag time of the configuration node under each accident;
determining the severity level of each accident based on the sag voltage value and the voltage sag time of each accident;
acquiring the almanac history data of each accident, determining the annual occurrence frequency and the occurrence probability of each severity grade of each accident according to the almanac history data of each accident, and determining the voltage sag loss cost corresponding to the dynamic reactive power supply according to the annual occurrence frequency and the occurrence probability of each severity grade of each accident.
Optionally, as a specific implementation manner of the receiving-end main grid dynamic reactive power configuration capacity calculation apparatus provided in the second aspect of the embodiment of the present invention, the severity level of each accident is determined based on the sag voltage value and the voltage sag time of each accident, which may be detailed as follows:
if the sag voltage value is larger than a first preset threshold value or the voltage sag time is smaller than a second preset threshold value, determining the severity level of the accident to be 0;
if the sag voltage value is smaller than a third preset threshold value and the voltage sag time is larger than a fourth preset threshold value, determining that the severity level of the accident is 1;
if the sag voltage value is between the first preset threshold and the third preset threshold and the voltage sag time is between the second preset threshold and the fourth preset threshold, determining the severity level of the accident as
Figure BDA0002878306790000101
Wherein Q is the severity level of the accident, U is the sag voltage value, T is the voltage sag time, and U ismaxIs a first predetermined threshold value, TminIs a second predetermined threshold value, UminIs a third predetermined threshold value, TmaxA fourth preset threshold, wherein the first preset threshold is greater than the third preset threshold, and the second preset threshold is smaller than the fourth preset threshold.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power configuration capacity calculation apparatus provided in the second aspect of the embodiment of the present invention, before determining the voltage sag loss cost corresponding to the dynamic reactive power according to the annual occurrence number of each accident and the occurrence probability of each severity level, the calculation module 42 is further configured to determine the voltage sag loss cost corresponding to each severity level
Figure BDA0002878306790000102
In the formula, EQThe voltage sag loss cost corresponding to the severity level Q is K, the loss coefficient is K, esp is an exponential curve, and sigma is a sensitivity parameter.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation apparatus provided in the second aspect of the embodiment of the present invention, the voltage sag loss cost corresponding to the dynamic reactive power supply is determined according to the annual occurrence number of each accident and the occurrence probability of each severity level, which may be detailed as follows:
RC＝N*∑(PQ*EQ)
in the formula, RCThe voltage sag loss cost corresponding to the dynamic reactive power supply, N is the sum of annual occurrence times of all accidents, PQProbability of occurrence of severity level Q, EQThe voltage sag loss cost corresponding to the severity level Q.
Optionally, as a specific implementation manner of the receiving-end main framework dynamic reactive power supply configuration capacity calculation apparatus provided in the second aspect of the embodiment of the present invention, before the configuration node is obtained, the obtaining module 41 is further configured to determine the configuration node, and specifically, a process of determining the configuration node may be detailed as follows:
acquiring a second preset accident set; the second preset accident set is a set of accidents affecting the voltage stability of the main grid frame bus of the receiving end;
performing static analysis and transient analysis on the second preset accident set to respectively obtain a static vulnerability index and a transient vulnerability index of each bus node in the receiving end main network frame;
determining a bus weak node according to the static vulnerability index and the transient vulnerability index of each bus node to obtain a bus weak node set;
and calculating track sensitivity indexes of all bus weak nodes in the bus weak node set, and selecting the bus weak node with the maximum track sensitivity index as a configuration node of the dynamic reactive power supply.
Fig. 5 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 5, the terminal 5 of this embodiment includes: a processor 50, a memory 51 and a computer program 52 stored in the memory 51 and executable on the processor 50. The processor 50 executes the computer program 52 to implement the steps in the above-described embodiments of the receiving-end main framework dynamic reactive power configuration capacity calculation method, such as the steps S101 to S104 shown in fig. 1. Alternatively, the processor 50, when executing the computer program 52, implements the functions of the modules in the above-described device embodiments, such as the functions of the modules 41 to 44 shown in fig. 4.
Illustratively, the computer program 52 may be partitioned into one or more modules, which are stored in the memory 51 and executed by the processor 50 to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 52 in the terminal 5. For example, the computer program 52 may be divided into an acquisition module 41, a calculation module 42, a fitting module 43 and a configuration capacity determination module 44 (a module in a virtual device), and the specific functions of each module are as follows:
an obtaining module 41, configured to obtain a configuration node; the configuration node is a bus node of the receiving end main network frame to be configured with the dynamic reactive power supply.
The calculating module 42 is configured to calculate total expenditure costs corresponding to the configuration nodes when configuring the dynamic reactive power supplies with different preset capacities, respectively; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply.
And the fitting module 43 is configured to fit the preset capacity and the total expenditure cost to obtain a functional relationship curve of the capacity of the dynamic reactive power source and the total expenditure cost.
And the configuration capacity determining module 44 is configured to calculate a minimum value of the objective function value based on the functional relationship curve, and determine a dynamic reactive power supply capacity corresponding to the minimum value of the objective function value as the configuration capacity of the dynamic reactive power supply.
The terminal 5 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal 5 may include, but is not limited to, a processor 50, a memory 51. It will be appreciated by those skilled in the art that fig. 5 is only an example of a terminal 5 and does not constitute a limitation of the terminal 5, and that it may comprise more or less components than those shown, or some components may be combined, or different components, e.g. the terminal 5 may further comprise input output devices, network access devices, buses, etc.
The Processor 50 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. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may be an internal storage unit of the terminal 5, such as a hard disk or a memory of the terminal 5. The memory 51 may also be an external storage device of the terminal 5, such as a plug-in hard disk provided on the terminal 5, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 51 may also include both an internal storage unit of the terminal 5 and an external storage device. The memory 51 is used for storing computer programs and other programs and data required by the terminal 5. The memory 51 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of each functional module is illustrated, and in practical applications, the above-mentioned functional allocation may be performed by different functional units or modules according to requirements, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. 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 computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. A receiving end main network frame dynamic reactive power supply configuration capacity calculation method is characterized by comprising the following steps:
acquiring a configuration node; the configuration node is a bus node of a receiving end main network frame to be configured with the dynamic reactive power supply;
respectively calculating the corresponding total expenditure expenses of the configuration nodes when the dynamic reactive power supplies with different preset capacities are configured; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply;
fitting the preset capacity and the total expenditure expense to obtain a functional relation curve of the capacity of the dynamic reactive power supply and the total expenditure expense;
and calculating the minimum value of the total expenditure cost based on the function relation curve, and determining the dynamic reactive power supply capacity corresponding to the minimum value of the total expenditure cost as the configuration capacity of the dynamic reactive power supply.
2. The receiving end main network frame dynamic reactive power supply configuration capacity calculation method according to claim 1, wherein when the configuration node configures a dynamic reactive power supply with a preset capacity, the calculation method of the investment cost of the dynamic reactive power supply comprises the following steps:
Rs＝ρ(f+δ*C)
in the formula, RsThe investment cost of the dynamic reactive power supply is rho, the return on investment is rho, f is the installation cost of the dynamic reactive power supply, delta is the unit capacity price of the dynamic reactive power supply, and C is the capacity of the dynamic reactive power supply.
3. The receiving end main network frame dynamic reactive power supply configuration capacity calculation method according to claim 1, wherein when the configuration node configures a dynamic reactive power supply with a preset capacity, the calculation method of voltage sag loss cost corresponding to the dynamic reactive power supply comprises:
acquiring a first preset accident set, wherein the first preset accident set is a set of accidents causing transient faults of the voltage of the configuration node;
simulating each accident in the first preset accident set to obtain a sag voltage value and a sag time of the configuration node under each accident;
determining the severity level of each accident based on the sag voltage value and the voltage sag time of each accident;
acquiring the almanac history data of each accident, determining the annual occurrence frequency and the occurrence probability of each severity grade of each accident according to the almanac history data of each accident, and determining the voltage sag loss cost corresponding to the dynamic reactive power supply according to the annual occurrence frequency and the occurrence probability of each severity grade of each accident.
4. The receiving end main network frame dynamic reactive power supply configuration capacity calculation method according to claim 3, wherein the determining the severity level of each accident based on the sag voltage value and the voltage sag time of each accident comprises:
if the sag voltage value is larger than a first preset threshold value or the voltage sag time is smaller than a second preset threshold value, determining the severity level of the accident to be 0;
if the sag voltage value is smaller than a third preset threshold value and the voltage sag time is larger than a fourth preset threshold value, determining that the severity level of the accident is 1;
if the sag voltage value is between a first preset threshold and a third preset threshold, and the voltage sag time is between a second preset threshold and a fourth preset threshold, determining the severity level of the accident as
Figure FDA0002878306780000021
Wherein Q is the severity level of the accident, U is the sag voltage value, T is the voltage sag time, and U ismaxIs a first predetermined threshold value, TminIs a second predetermined threshold value, UminIs a third predetermined threshold value, TmaxA fourth preset threshold, wherein the first preset threshold is greater than the third preset threshold, and the second preset threshold is smaller than the fourth preset threshold.
5. The receiving end main network frame dynamic reactive power configuration capacity calculation method according to claim 3, wherein before determining the voltage sag loss cost corresponding to the dynamic reactive power according to the annual occurrence number of each accident and the occurrence probability of each severity level, the method further comprises determining the voltage sag loss cost corresponding to each severity level:
Figure FDA0002878306780000022
in the formula, EQThe voltage sag loss cost corresponding to the severity level Q is K, the loss coefficient is K, esp is an exponential curve, and sigma is a sensitivity parameter.
6. The receiving end main network frame dynamic reactive power supply configuration capacity calculation method according to claim 3, wherein the determining the voltage sag loss cost corresponding to the dynamic reactive power supply according to the annual occurrence number of each accident and the occurrence probability of each severity level comprises:
RC＝N*∑(PQ*EQ)
in the formula, RCThe voltage sag loss cost corresponding to the dynamic reactive power supply, N is the sum of annual occurrence times of all accidents, PQProbability of occurrence of severity level Q, EQThe voltage sag loss cost corresponding to the severity level Q.
7. The receiving end main network frame dynamic reactive power supply configuration capacity calculation method according to claim 1, further comprising a process of determining a configuration node before obtaining the configuration node, wherein the process of determining the configuration node comprises:
acquiring a second preset accident set; the second preset accident set is a set of accidents affecting the voltage stability of a main grid frame bus at a receiving end;
performing static analysis and transient analysis on the second preset accident set to respectively obtain a static vulnerability index and a transient vulnerability index of each bus node in the receiving end main network frame;
determining a bus weak node according to the static vulnerability index and the transient vulnerability index of each bus node to obtain a bus weak node set;
and calculating track sensitivity indexes of all bus weak nodes in the bus weak node set, and selecting the bus weak node with the maximum track sensitivity index as a configuration node of the dynamic reactive power supply.
8. A receiving end main network frame dynamic reactive power supply configuration capacity calculation device is characterized by comprising:
an obtaining module, configured to obtain a configuration node; the configuration node is a bus node of a receiving end main network frame to be configured with the dynamic reactive power supply;
the calculation module is used for calculating the corresponding total expenditure expense of the configuration node when the dynamic reactive power supplies with different preset capacities are configured; the total expenditure cost is the sum of the investment cost of the dynamic reactive power supply and the voltage sag loss cost corresponding to the dynamic reactive power supply;
the fitting module is used for fitting the preset capacity and the total expenditure cost to obtain a functional relation curve of the capacity of the dynamic reactive power supply and the total expenditure cost;
and the configuration capacity determining module is used for calculating the minimum value of the objective function value based on the function relation curve and determining the dynamic reactive power supply capacity corresponding to the minimum value of the objective function value as the configuration capacity of the dynamic reactive power supply.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202011635255.7A 2020-12-31 2020-12-31 Receiving-end main network frame dynamic reactive power supply configuration capacity calculation method and device Pending CN112803433A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103457279A (en) * 2013-09-23 2013-12-18 广东电网公司电力调度控制中心 Determination method for partition D-STATCOM integrated optimization configuration scheme of large-scale power grid
CN103795068A (en) * 2014-03-05 2014-05-14 广东电网公司电力调度控制中心 Optimal configuration method for high-voltage distribution network dynamic reactive power compensation equipment capacity

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103457279A (en) * 2013-09-23 2013-12-18 广东电网公司电力调度控制中心 Determination method for partition D-STATCOM integrated optimization configuration scheme of large-scale power grid
CN103795068A (en) * 2014-03-05 2014-05-14 广东电网公司电力调度控制中心 Optimal configuration method for high-voltage distribution network dynamic reactive power compensation equipment capacity

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Application publication date: 20210514