CN110707692A - Online load analysis and modeling system and method for power system - Google Patents
Online load analysis and modeling system and method for power system Download PDFInfo
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Abstract
The invention belongs to the technical field of power system measurement, and particularly relates to a power system online load analysis and modeling system and a method, wherein the system comprises a data identification module, a load modeling data integrity checking module, a load analysis module, a load modeling module, a fault recording management module and a fault fitting automatic adjustment module; the system collects model data, network topology data and real-time data of a transformer substation and a power distribution network provided by a power dispatching technology support system and a power distribution automation system on line, and industry load classification and load actual measurement data provided by a marketing comprehensive data platform, combines the load classification condition of a modeling system, and adopts a comprehensive aggregation equivalence method to realize the on-line load analysis and modeling functions of load nodes; the invention adopts the normalized load analysis and modeling work, improves the timeliness and the accuracy of load modeling, ensures the safe, reliable and economic operation of a power grid, and effectively reduces the implementation difficulty and the workload of the load analysis and modeling.
Description
Technical Field
The invention belongs to the technical field of power system measurement, and particularly relates to a power system online load analysis and modeling system and method.
Background
With the continuous development of the scale of a power grid, high-proportion new energy grid connection, high-proportion power electronic devices and high-proportion new load access increase the complexity of the load, change the power characteristics of the load and change the electrical parameters of the load. The original characteristics of the load are influenced by the actions of power market demand side response, electric vehicle charge and discharge and the like. The load model of "once modeling, long term use" cannot accurately reflect changes in load characteristics. Therefore, online load modeling is required to improve the timeliness of the model.
The traditional statistical synthesis method relies on manual general survey, typical load station detailed survey, data sorting and error correction to finally realize modeling, the time and labor spent by a manual mode are huge, the load analysis and modeling work cannot be carried out in a normalized mode, and the timeliness of model calculation is lacked. The method has the advantages that online load analysis and modeling are realized through an automatic means, load characteristic changes are tracked timely, and timeliness of load modeling work is improved.
With the construction of a smart power grid and the application of big data and a cloud platform, a load modeling data source acquisition channel is provided, and the system has the condition for developing online load modeling. The dynamic load model is verified by taking a statistical synthesis method as a main method and a fault fitting method as an auxiliary method in combination with an actual disturbance accident.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses an on-line load analysis and modeling system and method for an electric power system, which are used for solving the problems that the traditional statistical synthesis method uses a manual mode to spend huge time and manpower, the load analysis and modeling work cannot be normally carried out, and the model calculation lacks timeliness.
In order to realize the purpose, the invention is realized by the following technical scheme:
an on-line load analysis and modeling system of an electric power system comprises a data identification module, a load modeling data integrity checking module, a load analysis module, a load modeling module, a fault recording management module and a fault fitting automatic adjustment module, wherein the data identification module is in signal connection with the load modeling data integrity checking module, the load modeling data integrity checking module is in signal connection with the load analysis module, the load analysis module is in signal connection with the load modeling module, the load modeling module is in signal connection with the fault fitting automatic adjustment module, and the fault recording management module is in signal connection with the fault fitting automatic adjustment module;
the data identification module has the marketing load classification automatic matching function, and actively classifies the marketing load and the modeling system load on line; the system also has the functions of identifying and defining load composition components, sets identification rules aiming at load data which cannot distinguish load composition, and automatically matches corresponding load classification according to the rules;
the load modeling data integrity checking module is provided with a typical checking strategy, realizes the integrity checking function of model data, network topology data and real-time data in a substation time-sharing manner, triggers an alarm for abnormal conditions such as data loss and the like, and prompts workers to confirm completion;
the load analysis module analyzes the topological data of the power supply area network, collects and arranges all the load data of the load station collected at each moment by adopting a statistical synthesis method, and comprehensively analyzes the load composition, the motor load ratio, the static load frequency characteristics and the change trend of the distributed new energy;
the load modeling module adopts a power distribution network equivalence algorithm, the substations classify in a time-sharing way to carry out comprehensive aggregation equivalence, and a comprehensive load model of each load node is obtained through respective calculation; the load modeling module is loaded with a power system analysis software tool for automatically generating a PSD-BPA format model file;
the fault recording management module receives a recording file uploaded by a worker and analyzes fault recording key parameters for fault fitting analysis and calling; and the fault fitting automatic adjustment module receives the load parameters of fault fitting correction on line to realize load model correction.
An on-line load analysis and modeling method for a power system comprises the following steps:
(1) the system collects model data, network topology data and real-time data of a dispatching technology support system, a distribution automation system transformer substation and a distribution network on line; acquiring the industry load classification and load actual measurement data of the marketing comprehensive data platform on line;
(2) automatically classifying the marketing load classification into a modeling system load classification through a data identification module; setting a load composition identification rule through a data identification module, and automatically matching corresponding load classification according to the rule aiming at load data which cannot distinguish load composition;
(3) the integrity of the regional network topology data is checked through a load modeling data integrity checking module, the power supply regional network topology data and the switch state are analyzed, the integrity of the power supply regional network topology data is checked, an alarm is triggered on abnormal conditions such as data loss and the like, and workers are prompted to confirm completion; the integrity of the model data is checked through a load modeling data integrity checking module, the model data is analyzed, the integrity of the model data is checked, an alarm is triggered on abnormal conditions such as data loss and the like, and workers are prompted to confirm completion;
(4) analyzing the load characteristic change trend through a load analysis module, analyzing the load classification distribution condition, analyzing the motor load proportion time interval change trend, analyzing the static load frequency characteristic change trend and analyzing the distributed new energy trend by using the statistical synthesis method on the collected model data, the network topology data, the load industry classification and the load actual measurement data, and managing and storing the comprehensive load model parameters;
(5) a unified Load Model (SLM) is established through a Load modeling module, and Load Model parameters of different Load nodes are subjected to comprehensive aggregation equivalence based on comprehensive Load Model parameters to form an SLM of the whole network, the whole province and the whole city; creating a model file in a PSD-BPA format through a load modeling module, automatically forming a model file which accords with the PSD-BPA data format by using the formed load model parameters, and storing the model file in a database for offline and online simulation calculation;
(6) through electric wire netting trouble record ripples management module, on-line receipt staff's manual Commride format trouble record ripples file of uploading to analyze this file, extract record ripples key data, generate the recognizable key information of trouble fitting, include: voltage, current, active power, reactive power and frequency, and arranging the fault recording curve for fault fitting analysis and calling;
(7) the method comprises the steps that a worker combines fault recording key information, fault current operation mode information and a fault recording curve, carries out load model parameter fault fitting aiming at formed load model parameters, repeatedly checks and corrects the load model parameters through a fault fitting adjustment module, and stores the fault fitting corrected load parameters into a database.
Further, the load node is a 220kV substation.
Further, the step (2) data identifies the functions of the module, including: the identification and definition function of the load composition, creating a load composition definition table, defining load composition classification, setting different load composition classifications according to different load use scenes, and automatically matching the classified load compositions. Setting an identification rule aiming at load data which cannot distinguish load constitution, and automatically matching corresponding load classification according to the rule; and the marketing load classification matching function is used for actively classifying the bidding marketing load and classifying the load of the load modeling system on line based on the operation data. And establishing a marketing load classification and load classification mapping relation of the load modeling system, and automatically matching the load classification of the load modeling system according to the acquired marketing load classification. The load classification of the load analysis and modeling system comprises three major categories of an industrial category, a residential category and an agricultural category, each major category is divided into a specific load subtype, and the load of the benchmarking system is automatically classified according to the industrial load classification.
Further, the function of the load modeling data integrity checking module in the step (3) includes: calling a relational database interface, and reading model data, network topology data, switch state and load actual measurement data of a relational database; analyzing the power supply area network topological relation according to the network topological data and the switch state, and checking the integrity of the model topological structure; verifying the integrity of data required for generating the comprehensive load model, wherein the verifying the data comprises: transformer parameters, line parameters, reactive compensation parameters, new energy parameters and load parameters; checking the limit value of the parameter for generating the comprehensive load model; and (4) triggering an alarm for abnormal conditions such as data loss and the like, and prompting a worker to confirm completion.
Further, the step (5) load modeling module workflow includes: firstly, unified comprehensive load modeling of each station is carried out, and comprehensive aggregation equivalence is carried out on load model parameters of a 220kV transformer substation by utilizing a statistical synthesis method to form unified comprehensive load model parameters of the 220kV transformer substation; modeling the uniform comprehensive load of the whole city, and performing comprehensive aggregation equivalence on the load model parameters of each 220kV transformer substation by using a statistical synthesis method to form uniform comprehensive load model parameters of the whole city; modeling the uniform comprehensive load of the province, and performing comprehensive aggregation equivalence on the load model parameters of each city by using a statistical synthesis method to form uniform comprehensive load model parameters of the province; modeling the unified comprehensive load of the whole network, and performing comprehensive aggregation equivalence on the load model parameters of each province by using a statistical synthesis method to form the unified comprehensive load model parameters of the whole network; load model parameters PSD-BPA format data are automatically generated, and the formed load model parameters are automatically formed into a model conforming to the PSD-BPA data format.
The invention has the beneficial effects that:
1. the system realizes the online modeling function of the dynamic load model, achieves the purpose of modeling the load node in quasi-real time, full coverage and more fit with the actual operation condition, improves the accuracy of simulation calculation of the power grid, and ensures the safe, reliable and economic operation of the power grid;
2. the system realizes the normalized load analysis and modeling work, and improves the timeliness and the accuracy of load modeling;
3. the invention changes the traditional dependence on manual census, typical load station detailed investigation, data arrangement and error correction, and effectively reduces the implementation difficulty and workload of load analysis and modeling.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system overview business process;
FIG. 2 is a flow chart of data integrity checking;
FIG. 3 is a load modeling flow diagram;
FIG. 4 is a load model fault fit adjustment flow chart.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to FIGS. 1-4: the system comprises a data identification module, a load modeling data integrity checking module, a load analysis module, a load modeling module, a fault recording management module and a fault fitting automatic adjustment module, wherein the data identification module is in signal connection with the load modeling data integrity checking module, the load modeling data integrity checking module is in signal connection with the load analysis module, the load analysis module is in signal connection with the load modeling module, the load modeling module is in signal connection with the fault fitting automatic adjustment module, and the fault recording management module is in signal connection with the fault fitting automatic adjustment module.
The data identification module creates a load composition definition table, defines load composition classification, sets different load composition classifications according to different load use scenes, automatically matches the classified load compositions according to rules aiming at load data which cannot distinguish load composition, actively classifies the mark marketing load and the load of the modeling system on line based on the real-time load classification acquired by the marketing system, establishes a mapping relation between the marketing load classification and the load of the load modeling system, and automatically matches the load classification of the load modeling system according to the acquired marketing load classification; the module of load modeling data integrality check module realizes the integrality check function of model data, through model data, on-off state and the real-time data of load that read the database, analyzes model data analysis, according to model data and on-off state, analysis power supply area network topological relation, check model topological structure and data integrality to trigger the warning to abnormal conditions such as data loss, indicate the staff to confirm the completion, this module includes: network topology integrity checking, equipment parameter integrity checking and SLM parameter out-of-limit checking functions, wherein the checking process is as shown in a load modeling data integrity checking data flow chart in FIG. 2: firstly, reading models, graphs and switch states in a database, collecting regional load topological models through line head and tail segment connection relations, triggering alarms aiming at incomplete network topology through analyzing a regional network topological structure of a load station, prompting a user to confirm modification, and then verifying the integrity of data required by generating a comprehensive load model, wherein the data verification comprises the following steps: transformer parameters, line parameters, reactive compensation parameters, new energy parameters and load parameters; and triggering an alarm aiming at the incomplete equipment parameters, prompting a user to confirm modification, finally checking the limit value of the parameters for generating the comprehensive load model, and triggering the alarm aiming at the out-of-limit parameters to prompt the user to modify.
The load analysis module collects and sorts the loads of the 220kV transformer substations according to a load collection principle by utilizing a statistical synthesis method based on the analysis result of the topological data of the power supply area network, and analyzes the loads layer by layer from the bottom to the top from a station, a local dispatching, a provincial dispatching, a branch center and a national dispatching. The module comprises: the system has the functions of analyzing the classified distribution condition of 220kV load stations, analyzing the load composition development trend, analyzing the motor load proportion time interval change trend, analyzing the static load frequency characteristic change trend and analyzing the new energy trend.
The load modeling module carries out comprehensive aggregation equivalence on load model parameters of different 220kV transformer substations by utilizing a statistical synthesis method based on the acquired model data and real-time load data to form unified comprehensive load model parameters of network, province and city; based on model data, operation data and a comprehensive load model acquired by a local dispatching system, automatically forming a model file conforming to a PSD-BPA data format by using the formed load model parameters and storing the model file into a database for offline and online simulation calculation; the module comprises: the method comprises the steps of unified comprehensive load modeling of each station, unified comprehensive load modeling of the whole city, unified comprehensive load modeling of the whole province and unified comprehensive load modeling of the whole network from bottom to top, layer-by-layer analysis and modeling, and further comprises a load model parameter PSD-BPA format data automatic generation function, wherein the load model format refers to the PSD-BPA load model standard of the institute of Electrical Power science, and the flow is as shown in a load modeling flow chart of FIG. 3: modeling unified comprehensive loads of all stations, and performing comprehensive aggregation equivalence on load model parameters of the 220kV transformer substation by using a statistical synthesis method to form unified comprehensive load model parameters of the 220kV transformer substation; modeling the uniform comprehensive load of the whole city, and performing comprehensive aggregation equivalence on the load model parameters of each 220kV transformer substation by using a statistical synthesis method to form uniform comprehensive load model parameters of the whole city; modeling a uniform comprehensive load of the whole province, and performing comprehensive aggregation equivalence on the load model parameters of each 220kV transformer substation by using a statistical synthesis method to form uniform comprehensive load model parameters of the whole city; modeling the unified comprehensive load of the whole network, and performing comprehensive aggregation equivalence on the load model parameters of all 220kV transformer substations by using a statistical synthesis method to form the unified comprehensive load model parameters of the whole city; load model parameters PSD-BPA format data are automatically generated, and the formed load model parameters are automatically formed into a model conforming to the PSD-BPA data format.
And the fault recording management module receives the recording file uploaded by the staff and analyzes the key parameters of fault recording so as to be called by fault fitting analysis.
The fault fitting automatic adjustment module utilizes a fault fitting method, and a worker automatically utilizes load modeling PSD-BPA operation mode data stored in a system to perform fault fitting of load model parameters and correct the load model parameters by combining fault recording key information; the online load modeling system receives the load parameters corrected through fault fitting and stores the load parameters into a database; the process is as the load model fault fitting adjustment process chart in FIG. 4: calling a database interface module, reading fault recording key information, load modeling PSD-BPA operation mode data and SLM model data consistent with fault time; the method comprises the following steps that a worker carries out load model parameter fault fitting according to a power grid short-circuit fault, and SLM model parameters are corrected; the system receives the corrected SLM model parameters, calls a database interface module and stores the SLM model parameters; and automatically generating a load model PSD-BPA format model file according to the corrected SLM model parameters.
A method for online load analysis and modeling of a power system comprises the following steps:
(1) the system collects model data, network topology data and real-time data of a dispatching technology support system, a distribution automation system transformer substation and a distribution network on line; acquiring the industry load classification and load actual measurement data of the marketing comprehensive data platform on line; acquiring the industry load classification and load real-time data of the marketing comprehensive data platform on line;
(2) automatically classifying the marketing load classification into a modeling system load classification through a data identification module; setting a load composition identification rule through a data identification module, and automatically matching corresponding load classification according to the rule aiming at load data which cannot distinguish load composition;
(3) the integrity of the regional network topology data is checked through a load modeling data integrity checking module, the power supply regional network topology data and the switch state are analyzed, the integrity of the power supply regional network topology data is checked, an alarm is triggered on abnormal conditions such as data loss and the like, and workers are prompted to confirm completion; the integrity of the model data is checked through a load modeling data integrity checking module, the model data is analyzed, the integrity of the model data is checked, an alarm is triggered on abnormal conditions such as data loss and the like, and workers are prompted to confirm completion;
(4) analyzing the load characteristic change trend through a load analysis module, analyzing the load classification distribution condition, analyzing the motor load proportion time interval change trend, analyzing the static load frequency characteristic change trend and analyzing the distributed new energy trend by using the statistical synthesis method on the collected model data, the network topology data, the load industry classification and the load actual measurement data, and managing and storing the comprehensive load model parameters;
(5) a unified comprehensive load model is established through a load modeling module, and comprehensive aggregation equivalence is carried out on load model parameters of different load nodes based on the comprehensive load model parameters to form a whole-network, whole-province and whole-city SLM; creating a model file in a PSD-BPA format through a load modeling module, automatically forming a model file which accords with the PSD-BPA data format by using the formed load model parameters, and storing the model file in a database for offline and online simulation calculation;
(6) through electric wire netting trouble record ripples management module, on-line receipt staff's manual Commride format trouble record ripples file of uploading to analyze this file, extract record ripples key data, generate the recognizable key information of trouble fitting, include: voltage, current, active power, reactive power and frequency, and arranging the fault recording curve for fault fitting analysis and calling;
(7) the method comprises the steps that a worker combines fault recording key information, fault current operation mode information and a fault recording curve, carries out load model parameter fault fitting aiming at formed load model parameters, repeatedly checks and corrects the load model parameters through a fault fitting adjustment module, and stores the fault fitting corrected load parameters into a database.
The invention realizes an online load analysis and modeling system and method applied to an electric power system, model data, network topology data and real-time data of a transformer substation and a power distribution network, which are provided by a dispatching technology support system and a power distribution automation system of the electric power system, and industrial load classification and load actual measurement data of an online acquisition and marketing comprehensive data platform are acquired on line, and the online load analysis and modeling functions of load nodes are realized by adopting a comprehensive aggregation equivalence method in combination with the load classification condition of the modeling system; the percentage of various electrical load equipment (classified) of each load outgoing line in the total amount is calculated in a collecting mode by using a statistical synthesis method according to the analysis result of the network topology data of the power supply area; then, comprehensively calculating by using a power distribution network equivalent algorithm to obtain the SLM of the load station, wherein the SLM is a model structure which is provided by China institute of Electrical science and considering the power distribution network; and automatically generating a PSD-BPA format model file based on the SLM model parameters for online and offline simulation calculation.
A load analysis and modeling system on line applied to the electric power system provides a fault recording management function, a worker carries out simulation comparison analysis on a fault recording curve and a recording key parameter managed by the system by using a fault fitting method, and repeatedly checks and corrects the load model parameter by combining the load model automatic adjustment function of the system, so that a simulation result is as close to the dynamic process of the system as possible, and a load model and a parameter which are more fit for the actual operation condition are generated; the invention can effectively reduce the implementation difficulty and workload of load analysis and modeling, realize substation time-sharing classification management of load model parameters, and establish a long-term management mechanism in operation, so as to achieve the purpose of load node modeling in quasi-real time, full coverage and more fit with actual operation conditions, improve the accuracy of power grid simulation calculation, and ensure safe, reliable and economic operation of a power grid.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. An online load analysis and modeling system of a power system is characterized in that: the system comprises a data identification module, a load modeling data integrity checking module, a load analysis module, a load modeling module, a fault recording management module and a fault fitting automatic adjustment module, wherein the data identification module is in signal connection with the load modeling data integrity checking module;
the data identification module has the marketing load classification automatic matching function, actively classifies the marketing load and the modeling system load on line, and also has the functions of identifying and defining the load composition, sets identification rules aiming at the load data which cannot distinguish the load composition, and automatically matches the corresponding load classification according to the rules;
the load modeling data integrity checking module is provided with a typical checking strategy, realizes the integrity checking function of model data, network topology data and real-time data in a substation time-sharing manner, triggers an alarm for abnormal conditions such as data loss and the like, and prompts workers to confirm completion;
the load analysis module analyzes the topological data of the power supply area network, collects and arranges all the load data of the load station collected at each moment by adopting a statistical synthesis method, and comprehensively analyzes the load composition, the motor load ratio, the static load frequency characteristics and the change trend of the distributed new energy;
the load modeling module adopts a power distribution network equivalence algorithm, the substations classify in a time-sharing way to carry out comprehensive aggregation equivalence, and a comprehensive load model of each load node is obtained through respective calculation; the load modeling module is loaded with a power system analysis software tool for automatically generating a PSD-BPA format model file;
the fault recording management module receives a recording file uploaded by a worker and analyzes fault recording key parameters for fault fitting analysis and calling; and the fault fitting automatic adjustment module receives the load parameters of fault fitting correction on line to realize load model correction.
2. An on-line load analysis and modeling method for a power system is characterized by comprising the following steps:
(1) the system collects model data, network topology data and real-time data of a dispatching technology support system, a distribution automation system transformer substation and a distribution network on line; acquiring the industry load classification and load actual measurement data of the marketing comprehensive data platform on line;
(2) automatically classifying the marketing load classification into a modeling system load classification through a data management module; setting a load composition identification rule through a data management module, and automatically matching corresponding load classification according to the rule aiming at load data which cannot distinguish load composition;
(3) the integrity of the power supply area network topology data is checked through a load modeling data integrity checking module, the power supply area network topology data and the switch state are analyzed, the integrity of the power supply area network topology data is checked, an alarm is triggered for abnormal conditions such as data loss and the like, and workers are prompted to confirm the completion; the integrity of the model data is checked through a load modeling data integrity checking module, the model data is analyzed, the integrity of the model data is checked, an alarm is triggered on abnormal conditions such as data loss and the like, and workers are prompted to confirm completion;
(4) analyzing the load characteristic change trend through a load analysis module, analyzing the load classification distribution condition, analyzing the motor load proportion time interval change trend, analyzing the static load frequency characteristic change trend and analyzing the distributed new energy trend by using the statistical synthesis method on the collected model data, the network topology data, the load industry classification and the load actual measurement data, and managing and storing the comprehensive load model parameters;
(5) a unified comprehensive load model is established through a load modeling module, and comprehensive aggregation equivalence is carried out on load model parameters of different load nodes based on the load model parameters of the load nodes to form a comprehensive load model of the whole network, the whole province and the whole city; creating a model file in a PSD-BPA format through a load modeling module, automatically forming a model file which accords with the PSD-BPA data format by using the formed load model parameters, and storing the model file in a database for offline and online simulation calculation;
(6) through electric wire netting trouble record ripples management module, on-line receipt staff's manual Commride format trouble record ripples file of uploading to analyze this file, extract trouble record ripples key data, generate the recognizable key information of trouble fitting, include: voltage, current, active power, reactive power and frequency, and arranging the fault recording curve for fault fitting analysis and calling;
(7) the method comprises the steps that a worker carries out load model parameter fault fitting aiming at formed load model parameters by combining fault recording key information and utilizing current operation mode information of faults and fault recording curve data, repeatedly checks and corrects the load model parameters through a fault fitting adjustment module, and stores the load parameters corrected by fault fitting into a database.
3. The on-line load analysis and modeling method for the power system according to claim 2, characterized in that: the load node of the step (7) is a 220kV transformer substation.
4. The on-line load analysis and modeling method for power system as claimed in claim 2, wherein the step (2) of data identification module function comprises: the identification and definition function of the load composition, establish the definition table of the load composition, define the load composition and the proportion, use the scene according to different loads, set up different load compositions and proportions, automatically match the load composition and proportions of the scene; setting an identification rule aiming at load data which cannot distinguish load constitution, and automatically matching corresponding load classification according to the rule; a marketing load classification matching function, which is used for actively classifying the target marketing load and classifying the load of the load modeling system on line based on the operation data; establishing a marketing load classification and load classification mapping relation of a load modeling system, and automatically matching the load classification of the load modeling system according to the acquired marketing load classification; the load classification of the load analysis and modeling system comprises four major categories of an industrial category, a commercial category, a residential category and an agricultural category, each major category is divided into specific load subtypes, and the load of the benchmarking system is automatically classified according to the industrial load classification.
5. The on-line load analysis and modeling method for the power system as claimed in claim 2, wherein the step (3) of checking the integrity of the load modeling data includes: calling a relational database interface, and reading model data, network topology data, switch state and load actual measurement data of a relational database; analyzing the power supply area network topology data according to the network topology data and the switch state, and checking the integrity of the power supply area topology structure; verifying the integrity of data required for generating the comprehensive load model, wherein the verifying the data comprises: transformer parameters, line parameters, reactive compensation parameters, distributed new energy parameters and load parameters; checking the limit value of the parameter for generating the comprehensive load model; and (4) triggering an alarm for abnormal conditions such as data loss and the like, and prompting a worker to confirm completion.
6. The on-line load analysis and modeling method for power system as claimed in claim 2, wherein the step (5) of the work flow of the load modeling module comprises: firstly, unified comprehensive load modeling of each station is carried out, and comprehensive aggregation equivalence is carried out on load model parameters of a 220kV transformer substation by utilizing a statistical synthesis method to form unified comprehensive load model parameters of the 220kV transformer substation; modeling the uniform comprehensive load of the whole city, and performing comprehensive aggregation equivalence on the load model parameters of each 220kV transformer substation by using a statistical synthesis method to form uniform comprehensive load model parameters of the whole city; modeling the uniform comprehensive load of the province, and performing comprehensive aggregation equivalence on the load model parameters of each city by using a statistical synthesis method to form uniform comprehensive load model parameters of the province; modeling the unified comprehensive load of the whole network, and performing comprehensive aggregation equivalence on the load model parameters of each province by using a statistical synthesis method to form the unified comprehensive load model parameters of the whole network; load model parameters PSD-BPA format data are automatically generated, and the formed load model parameters are automatically formed into a model conforming to the PSD-BPA data format.
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| CN111290292A (en) * | 2020-02-17 | 2020-06-16 | 云南电网有限责任公司电力科学研究院 | Method, system and device for correcting load frequency factor of direct current lock |
| CN111339664A (en) * | 2020-02-27 | 2020-06-26 | 中国电力科学研究院有限公司 | Layer-by-layer load modeling method and system based on edge calculation |
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