CN113610275A - Power grid load model evaluation method and system - Google Patents

Power grid load model evaluation method and system Download PDF

Info

Publication number
CN113610275A
CN113610275A CN202110786984.0A CN202110786984A CN113610275A CN 113610275 A CN113610275 A CN 113610275A CN 202110786984 A CN202110786984 A CN 202110786984A CN 113610275 A CN113610275 A CN 113610275A
Authority
CN
China
Prior art keywords
load
load model
model
transformer substation
power grid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110786984.0A
Other languages
Chinese (zh)
Inventor
周良松
姚占东
陈宁锋
吕伟
郑明杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan Huafei Intelligent Technology Co ltd
Original Assignee
Wuhan Huafei Intelligent Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan Huafei Intelligent Technology Co ltd filed Critical Wuhan Huafei Intelligent Technology Co ltd
Priority to CN202110786984.0A priority Critical patent/CN113610275A/en
Publication of CN113610275A publication Critical patent/CN113610275A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • 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
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/16Energy services, e.g. dispersed generation or demand or load or energy savings aggregation

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Data Mining & Analysis (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Power Engineering (AREA)
  • Quality & Reliability (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Algebra (AREA)
  • Game Theory and Decision Science (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Development Economics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a power grid load model evaluation method and a system, wherein the method comprises the following steps: after the load characteristics of the power grid are investigated, the load equipment type, the proportion of each type of load equipment and the equipment type parameters corresponding to the transformer substation are analyzed based on the statistics of investigation data; respectively calculating static load model parameters and dynamic motor load model parameters according to the load equipment type, the load equipment proportion and the equipment type parameters corresponding to the transformer substation, and constructing a comprehensive load model of the transformer substation; and carrying out simulation verification on the transformer substation comprehensive load model, and evaluating the stability of the original power grid load model based on the transformer substation comprehensive load model. By the scheme, the stability characteristic of the power grid load model is evaluated, the stability of the power grid load model can be directly and accurately obtained, and the stability and the reliability of a power system are improved.

Description

Power grid load model evaluation method and system
Technical Field
The invention relates to the field of power system safety, in particular to a power grid load model evaluation method and system.
Background
With the improvement of the interconnection degree of the power grid, the problems of the dynamic stability and the voltage stability of the power grid become more and more prominent, and the influence of a load model on a simulation result of the stability characteristic of the system is not ignored. Due to the influence of factors such as access of a large number of distributed power supplies, load structure change and the like, the adaptability of the existing load model of the power grid is reduced to some extent, and the model becomes one of the main bottlenecks for improving the simulation accuracy of the stability characteristic of the system.
A number of experiments have shown that: the load characteristics play an important role in a system simulation calculation result, and different load models have different degrees of influence on the stability problems of the system, such as transient stability, dynamic stability, voltage stability and the like. However, the stability of the existing power grid load model is difficult to directly and accurately know, and the power grid load model is inconvenient to adapt.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and a system for evaluating a power grid load model, so as to solve the problem that the stability of the power grid load model cannot be accurately obtained.
In a first aspect of the embodiments of the present invention, a power grid load model evaluation method is provided, including:
after the load characteristics of the power grid are investigated, the load equipment type, the proportion of each type of load equipment and the equipment type parameters corresponding to the transformer substation are analyzed based on the statistics of investigation data;
respectively calculating static load model parameters and dynamic motor load model parameters according to the load equipment type, the load equipment proportion and the equipment type parameters corresponding to the transformer substation, and constructing a comprehensive load model of the transformer substation;
and carrying out simulation verification on the transformer substation comprehensive load model, and evaluating the stability of the original power grid load model based on the transformer substation comprehensive load model.
In a second aspect of the embodiments of the present invention, there is provided a power grid load model evaluation system, including:
the statistical analysis module is used for statistically analyzing the load equipment type, the proportion of each type of load equipment and the equipment type parameters corresponding to the transformer substation based on the survey data after the load characteristics of the power grid are surveyed;
the parameter calculation module is used for respectively calculating static load model parameters and dynamic motor load model parameters according to the load equipment type, the load equipment proportion and the equipment type parameters corresponding to the transformer substation and constructing a comprehensive load model of the transformer substation;
and the model evaluation module is used for carrying out simulation verification on the transformer substation comprehensive load model and evaluating the stability of the original power grid load model based on the transformer substation comprehensive load model.
In a third aspect of the embodiments of the present invention, there is provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method according to the first aspect of the embodiments of the present invention.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method provided in the first aspect of the embodiments of the present invention.
In the embodiment of the invention, after the load characteristics of the power grid are investigated, the load equipment type, the proportion of each type of load equipment and the equipment type parameter corresponding to the transformer substation are statistically analyzed based on the investigation data, the corresponding static load model parameter and the corresponding dynamic motor load model parameter are respectively calculated, the transformer substation comprehensive load model is constructed, the transformer substation comprehensive load model is subjected to simulation verification, and the stability of the original power grid load model is evaluated. Therefore, the adaptability of the existing power grid load model can be evaluated, and the stability of the power grid load model can be accurately judged. The evaluation method is simple and efficient, ensures the simulation accuracy, is convenient to improve the parameter adaptability of the power grid load model, and improves the stability of the power system.
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 described below 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 creative efforts.
Fig. 1 is a schematic flow chart of a power grid load model evaluation method according to an embodiment of the present invention;
fig. 2 is another schematic flow chart of a power grid load model evaluation method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power grid load model evaluation system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons skilled in the art without any inventive work shall fall within the protection scope of the present invention, and the principle and features of the present invention shall be described below with reference to the accompanying drawings.
The terms "comprises" and "comprising," when used in this specification and claims, and in the accompanying drawings and figures, are intended to cover non-exclusive inclusions, such that a process, method or system, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements.
Referring to fig. 1, fig. 1 is a schematic flow chart of a power grid load model evaluation method according to an embodiment of the present invention, including:
s101, after power grid load characteristics are investigated, the load equipment type, the proportion of each type of load equipment and the equipment type parameters corresponding to the transformer substation are analyzed based on survey data statistics;
the load of the power grid is classified according to load properties, the load characteristics of the power grid are generally checked, and the load types are divided into seven types, namely common industrial load, residential commercial load, industrial residential commercial mixed load, high-energy-consumption load and other load types.
According to the actual conditions of each region, detailed investigation of a power distribution network, load composition and load characteristics is carried out on a typical load site, and the proportion of each type of electric equipment in each load type is calculated, wherein the load types comprise seven types including common industrial loads, residential commercial loads, industrial residential commercial mixed loads, high-energy consumption loads and other load types.
For example, taking a certain substation with a common industrial load type as an example, the device types and the occupied ratios of the device types related to the 220kV substation are as follows:
Figure BDA0003157968080000041
TABLE 1
S102, respectively calculating static load model parameters and dynamic motor load model parameters according to the load equipment type, the load equipment proportion of each type and the equipment type parameters corresponding to the transformer substation, and constructing a comprehensive load model of the transformer substation;
the load characteristics are usually given by the active and reactive power versus voltage, frequency curves, and some approximation is necessary to obtain a mathematical model for the power flow and stability calculations.
Specifically, a relation curve of active power and reactive power relative to voltage and frequency is linearized; and calculating the static characteristic parameters corresponding to the static load model based on the specific load value.
For the load, the relation curve of active and reactive power relative to voltage and frequency can be linearized to obtain:
Figure BDA0003157968080000051
Figure BDA0003157968080000052
therein
Figure BDA0003157968080000053
For the load characteristic parameters, these several characteristic parameters are fixed for a given voltage and frequency.
For a certain load, it is required to give characteristic parameters and power factor of the whole load, i.e. of the whole load
Figure BDA0003157968080000054
And a PF, so that the static characteristic parameters of the entire load can be determined.
When the load includes a motor, the ratio of the motor power to the entire load power, the motor parameters, and the load characteristic parameters other than the motor load need to be calculated. The motor parameters mainly comprise a stator resistance Rs, a stator reactance Xs, an excitation reactance Xm, a rotor resistance Rr, a rotor reactance Xr, a low-voltage release voltage Vi, a low-voltage release delay Ti, mechanical torque coefficients A and B, an inertia time constant TJ and a load factor LFm.
Thus, static load model parameters and dynamic motor load model parameters can be obtained.
Further, static load model parameters and dynamic motor load model parameters in different load types are calculated to obtain the comprehensive load model of the transformer substation.
And performing comprehensive calculation on all equipment types to obtain a group of load model parameters. When the dynamic characteristics of the load are taken into account, a motor load model and a static load model representation are employed.
In an exemplary, summer time, the motor parameters and the static load parameters in the motor + static load model of the 220kV substation are shown in the following table, respectively:
Figure BDA0003157968080000055
TABLE 2
ZP% ZQ% IP% IQ% PP% PQ% R* X*
10 10 85 85 5 5 0.003 0.07
TABLE 3
In the table, Tj represents a motor inertia time constant, Rs represents a motor stator resistance, Xs represents a motor stator reactance, Xm represents a motor exciting reactance, Rr represents a motor rotor resistance, Xr represents a motor rotor reactance, R represents a distribution network branch resistance, X represents a distribution network branch reactance, ZP% represents a constant impedance component in a static active load configuration, ZQ% represents a constant impedance component in a static reactive load configuration, IP% represents a constant current component in a static active load configuration, IQ% represents a constant current component in a static reactive load configuration, PP% represents a constant power component in a static active load configuration, and PQ% represents a constant power reactance component in a static reactive load configuration.
And calculating characteristic parameters under different load types, and integrating all types of loads to obtain integrated load parameters.
Exemplary, grid SLM (distribution network integrated load model) model parameters are shown in the following table:
Figure BDA0003157968080000061
TABLE 4(a)
Figure BDA0003157968080000062
Figure BDA0003157968080000071
TABLE 4(b)
And (a) in the table 4 is a statistical table of the motor proportion and the static load ZIP proportion of each type of SLM model of the power grid. The highest motor ratio is the common industrial load, and is 75 percent; the second is 50% of mixed commercial class of industrial residents and 45% of mixed agricultural class of industrial residents, and the lowest commercial class of residents is 30%. From the load survey, it can be seen that the industrial load has a large motor ratio, the agriculture also has a large motor ratio, and the residential and commercial electric devices have a small motor ratio. In the aspect of static load, a power grid part adopts a constant current model, and the IP% occupation ratio of the static models of the three types of load is the maximum.
Table 4(b) shows other parameters of the motor and reactance parameters of the distribution network resistance, the industrial load generally has a higher load rate, the inertia time constant Tj is also larger, and the commercial residential load is smaller. The common industrial and industrial resident agricultural model has the highest load rate and inertia time constant Tj, and the commercial resident class is the lowest; the stator reactance, rotor reactance, and excitation reactance of industrial-class SLM models are generally higher than the residential and commercial classes, while the stator resistance and rotor resistance are lower than the residential and commercial classes.
S103, carrying out simulation verification on the comprehensive load model of the transformer substation, and evaluating the stability of the comprehensive load model of the transformer substation.
Specifically, as shown in fig. 2, in S201, the validity of the load model is verified, the difference between the comprehensive load model of the substation and the original load model is compared through simulation calculation, the variation range of various difference values is calculated, and the stability of the original power grid load model is evaluated, that is, the stability characteristic of the power grid load model is evaluated adaptively.
Further, in S202, the transformer substation integrated load model is substituted for the original power grid load model, the transient power angle stability, the transient voltage stability and the dynamic stability characteristics of the power grid are analyzed on the basis of the transformer substation integrated load model, and the difference between the stability characteristics before and after the model is substituted is compared in the same manner to analyze the application effect of the model.
The SLM load model of the power distribution network obtained through load modeling replaces the original load model of the power grid, transient power angle stability, transient voltage stability and dynamic stability characteristics of the power grid are analyzed on the basis of the SLM load model, the difference of the stability characteristics before and after the model is replaced is compared in the same mode, the application effect of the model is compared and analyzed, and the adaptability assessment conclusion of the load model is obtained.
In this embodiment, various device load data are calculated based on statistical analysis of survey data, so as to determine static model parameters and motor load model parameters, construct a comprehensive load model, and evaluate the stability of the original model based on the comprehensive load model. Therefore, the stability specific adaptability of the power grid load model is simply and efficiently evaluated, and the stability of the power system is conveniently improved.
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.
Fig. 3 is a schematic structural diagram of a power grid load model evaluation system according to an embodiment of the present invention, where the system includes:
the statistical analysis module 310 is configured to statistically analyze load equipment types, load equipment proportions of various types, and equipment type parameters corresponding to the transformer substation based on survey data after the load characteristics of the power grid are surveyed;
further, the statistical analysis module 310 further includes: and calculating the proportion of each electric equipment in each load type, wherein the load types comprise seven types including common industrial load, residential business load, industrial residential business mixed load, industrial residential business and agricultural mixed load, high energy consumption load and other load types.
The parameter calculation module 320 is used for calculating static load model parameters and dynamic motor load model parameters respectively according to the load equipment types, the load equipment proportions and the equipment type parameters corresponding to the transformer substation and constructing a comprehensive load model of the transformer substation;
the relation curves of active power and reactive power relative to voltage and frequency are linearized; and calculating the static characteristic parameters corresponding to the static load model based on the specific load value.
And calculating static load model parameters and dynamic motor load model parameters in different load types to obtain the comprehensive load model of the transformer substation.
And the model evaluation module 330 is configured to perform simulation verification on the transformer substation comprehensive load model, and evaluate the stability of the original power grid load model based on the transformer substation comprehensive load model.
Specifically, the difference between the comprehensive load model of the transformer substation and the original load model is compared, the variation range of various difference values is calculated, and the stability of the original power grid load model is evaluated.
Further, the transformer substation comprehensive load model is used for replacing an original power grid load model, the transient power angle stability, the transient voltage stability and the dynamic stability characteristics of the power grid are analyzed on the basis of the transformer substation comprehensive load model, and the difference of the stability characteristics before and after the model is replaced is compared in the same mode.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the module described above may refer to corresponding processes in the foregoing method embodiments, and are not described herein again.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device is used for stability evaluation of a power grid load model, and is generally a computer. As shown in fig. 4, the electronic terminal device 4 of the embodiment includes: a memory 410, a processor 420, and a system bus 430, the memory 410 including an executable program 4101 stored thereon, it being understood by those skilled in the art that the electronic device configuration shown in fig. 4 does not constitute a limitation of electronic devices and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
The following describes each component of the electronic device in detail with reference to fig. 4:
the memory 410 may be used to store software programs and modules, and the processor 420 executes various functional applications and data processing of the electronic device by operating the software programs and modules stored in the memory 410. The memory 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data (such as cache data) created according to the use of the electronic device, and the like. Further, the memory 410 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The executable program 4101 of the network request method is contained on the memory 410, the executable program 4101 can be divided into one or more modules/units, which are stored in the memory 410 and executed by the processor 420 to realize accident prediction and the like, and the one or more modules/units can be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used for describing the execution process of the computer program 4101 in the electronic device 4. For example, the computer program 4101 may be divided into a statistical analysis module, a parameter calculation module and a model evaluation module.
The processor 420 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 410 and calling data stored in the memory 410, thereby performing overall status monitoring of the electronic device. Alternatively, processor 420 may include one or more processing units; preferably, the processor 420 may integrate an application processor, which mainly handles operating systems, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 420.
The system bus 430 is used to connect functional units inside the computer, and can transmit data information, address information, and control information, and may be, for example, a PCI bus, an ISA bus, a VESA bus, etc. The instructions of the processor 420 are transmitted to the memory 410 through the bus, the memory 410 feeds data back to the processor 420, and the system bus 430 is responsible for data and instruction interaction between the processor 420 and the memory 410. Of course, the system bus 430 may also access other devices such as network interfaces, display devices, and the like.
In this embodiment of the present invention, the executable program executed by the process 420 included in the electronic device includes:
after the load characteristics of the power grid are investigated, the load equipment type, the proportion of each type of load equipment and the equipment type parameters corresponding to the transformer substation are analyzed based on the statistics of investigation data;
respectively calculating static load model parameters and dynamic motor load model parameters according to the load equipment type, the load equipment proportion and the equipment type parameters corresponding to the transformer substation, and constructing a comprehensive load model of the transformer substation;
and carrying out simulation verification on the transformer substation comprehensive load model, and evaluating the stability of the original power grid load model based on the transformer substation comprehensive load model.
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.
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; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A power grid load model evaluation method is characterized by comprising the following steps:
after the load characteristics of the power grid are investigated, the load equipment type, the proportion of each type of load equipment and the equipment type parameters corresponding to the transformer substation are analyzed based on the statistics of investigation data;
respectively calculating static load model parameters and dynamic motor load model parameters according to the load equipment type, the load equipment proportion and the equipment type parameters corresponding to the transformer substation, and constructing a comprehensive load model of the transformer substation;
and carrying out simulation verification on the transformer substation comprehensive load model, and evaluating the stability of the original power grid load model based on the transformer substation comprehensive load model.
2. The method of claim 1, wherein the statistical analysis of the load device types, the load device proportions of the types, and the device type parameters corresponding to the substation based on the survey data further comprises:
and calculating the proportion of each electric equipment in each load type, wherein the load types comprise seven types including common industrial load, residential business load, industrial residential business mixed load, industrial residential business and agricultural mixed load, high energy consumption load and other load types.
3. The method of claim 1, wherein the calculating the static load model parameters and the dynamic motor load model parameters according to the load device type, the load device proportion of each type, and the device type parameters corresponding to the substation respectively comprises:
linearizing a relation curve of active power and reactive power relative to voltage and frequency;
and calculating the static characteristic parameters corresponding to the static load model based on the specific load value.
4. The method of claim 1, wherein the building a substation integrated load model comprises:
and calculating static load model parameters and dynamic motor load model parameters in different load types to obtain the comprehensive load model of the transformer substation.
5. The method of claim 1, wherein the evaluating the stability of the primary grid load model based on the substation integrated load model comprises:
and comparing the difference between the comprehensive load model of the transformer substation and the original load model, calculating the variation range of various difference values, and evaluating the stability of the original power grid load model.
6. The method of claim 5, wherein evaluating the stability of the raw grid load model further comprises:
and replacing the original power grid load model with the transformer substation comprehensive load model, analyzing the transient power angle stability, the transient voltage stability and the dynamic stability characteristics of the power grid on the basis of the transformer substation comprehensive load model, and comparing the difference of the stability characteristics before and after replacing the model in the same way.
7. A power grid load model evaluation system, comprising:
the statistical analysis module is used for statistically analyzing the load equipment type, the proportion of each type of load equipment and the equipment type parameters corresponding to the transformer substation based on the survey data after the load characteristics of the power grid are surveyed;
the parameter calculation module is used for respectively calculating static load model parameters and dynamic motor load model parameters according to the load equipment type, the load equipment proportion and the equipment type parameters corresponding to the transformer substation and constructing a comprehensive load model of the transformer substation;
and the model evaluation module is used for carrying out simulation verification on the transformer substation comprehensive load model and evaluating the stability of the original power grid load model based on the transformer substation comprehensive load model.
8. The system of claim 7, wherein the building of the substation composite load model comprises:
and calculating static load model parameters and dynamic motor load model parameters in different load types to obtain the comprehensive load model of the transformer substation.
9. An electronic device comprising a processor, a memory and a computer program stored in the memory and running on the processor, characterized in that the processor, when executing the computer program, implements the steps of a power grid load model assessment method according to any of claims 1-6.
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 a power grid load model assessment method according to any one of claims 1 to 6.
CN202110786984.0A 2021-07-12 2021-07-12 Power grid load model evaluation method and system Pending CN113610275A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110786984.0A CN113610275A (en) 2021-07-12 2021-07-12 Power grid load model evaluation method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110786984.0A CN113610275A (en) 2021-07-12 2021-07-12 Power grid load model evaluation method and system

Publications (1)

Publication Number Publication Date
CN113610275A true CN113610275A (en) 2021-11-05

Family

ID=78337480

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110786984.0A Pending CN113610275A (en) 2021-07-12 2021-07-12 Power grid load model evaluation method and system

Country Status (1)

Country Link
CN (1) CN113610275A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106877340A (en) * 2017-03-09 2017-06-20 中国电力科学研究院 A kind of classification low-voltage load sheding method and its system based on part throttle characteristics
US20200293627A1 (en) * 2019-03-13 2020-09-17 General Electric Company Method and apparatus for composite load calibration for a power system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106877340A (en) * 2017-03-09 2017-06-20 中国电力科学研究院 A kind of classification low-voltage load sheding method and its system based on part throttle characteristics
US20200293627A1 (en) * 2019-03-13 2020-09-17 General Electric Company Method and apparatus for composite load calibration for a power system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
项丽等: "宁夏电网负荷模型对稳定性的影响分析", 电力科学与技术学报, vol. 27, no. 02, pages 37 - 41 *
高泽明等: "电网综合负荷模型的建立及应用", 河北电力技术, vol. 30, no. 06, pages 6 - 9 *

Similar Documents

Publication Publication Date Title
Zheng et al. Multi-objective distributed wind generation planning in an unbalanced distribution system
CN108695862B (en) Power grid inertia characteristic online evaluation method based on PMU measured data
Wang et al. Risk-based security-constrained economic dispatch in power systems
Mahmoud et al. Power loss minimization in distribution systems using multiple distributed generations
ul Abideen et al. A novel methodology to determine the maximum PV penetration in distribution networks
Li et al. Stochastic assessment of harmonic propagation and amplification in power systems under uncertainty
CN113610275A (en) Power grid load model evaluation method and system
CN104184143B (en) A kind of generating set relates to net protection and the method limiting automatic Check
Hou et al. Measurement-based load modeling at distribution level with complete model structure
Hou et al. Load modeling practice in a smart grid environment
CN110310048B (en) Distribution network planning overall process evaluation method and device
Ramasubramanian et al. Ability of positive sequence aggregated distributed energy resource model to represent unbalanced tripping of distribution inverters
CN114819596B (en) Regional transformer substation planning method, system, terminal and storage medium
CN111651843B (en) Design method and system of main frame of generator and electronic equipment
Ma et al. Non-monotonic increase of robustness with capacity tolerance in power grids
CN112419088B (en) Load shedding method, system, device, computer equipment and storage medium
CN105514983B (en) Load model construction method based on statistical synthesis method and fault fitting method
Najafi et al. Capacitor placement in distorted distribution network subject to wind and load uncertainty
CN114331006A (en) Power grid power quality evaluation method and device, computer equipment and storage medium
CN104899397B (en) The treating method and apparatus of fault simulation result
Sadeghkhani et al. The study of switching overvoltages under power system restoration scenario using extended delta-bar-delta algorithm
Mehroliya et al. Optimized placement of distributed generator in radial distribution system using whale optimization technique
Mehnaz et al. Load flow analysis and abnormality removal of bangladesh power system using software CYME PSAF
Le et al. A thorough comparison of optimization-based and stochastic methods for determining hosting capacity of low voltage distribution network
CN113887005B (en) Simulation modeling method and device for AC/DC power system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination