CN117856256A - Smart power grid load prediction management platform based on cloud computing - Google Patents
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Abstract
The invention discloses a smart grid load prediction management platform based on cloud computing, which relates to the technical field of power grid load prediction management and comprises load basic data management, wherein the load basic data management is used for managing 96 point acquisition load data of an acquirable device; panoramic monitoring, which is used for monitoring the running load condition of the transformer substation in the jurisdiction in quasi-real time; load regulation and control, which is to analyze and regulate the load according to the load condition; the system integration comprises a marketing business system, a metering unified interface platform, a GIS system and a synchronous line loss system. According to the invention, load monitoring analysis and prediction are carried out from aspects of power grid station-line-variable load conditions, load trend, load demand and the like based on electric energy acquisition data, load resources are fully coiled, accurate butt joint of supply and demand is realized, the temperature adjustment electricity consumption demands caused by high temperature and annual terminal cold flow in summer are solved, resident life and important user electricity supply are ensured, the electricity supply and supply order is maintained to be stable, the electricity supply guarantee level is improved, and faster and better development of economy is promoted.
Description
Technical Field
The invention relates to the technical field of power grid load prediction management, in particular to a smart power grid load prediction management platform based on cloud computing.
Background
The whole-grid electricity load of the Sichuan power grid in 2020 keeps fast growth, the maximum electricity load and the daily highest electricity consumption are both higher than the annual contemporaneous level, the speed-up level of the whole-society electricity consumption is first higher than that of the national power grid in China, the highest load of the power grid in the Tianfu new region in summer in the present year is up to 297 kilowatts, the re-creation history is new and is higher, and the increase of the power grid in 2016 is 82.2 percent compared with 163 kilowatts.
The electric power supply system is influenced by multiple factors such as newly-increased industrial project production, continuous fluctuation of air temperature and the like, the electric load demand is still continuously rising, the electric network planning and construction catch-up type propulsion are realized, the rapid growth of the electric load cannot be met, the electric power supply and demand form is severe, and the work of 'meeting the peak summer and meeting the peak winter' is full of challenges.
Disclosure of Invention
The invention aims at: the intelligent power grid load prediction management platform based on cloud computing is provided for solving the problems that the power load demand is continuously rising, the power grid planning and construction catch-up type propulsion are still affected by multiple factors such as newly added industrial project production, continuous fluctuation of air temperature and the like, the rapid growth of the power load cannot be met, the power supply and demand form is severe, the work of 'peak-meeting summer and peak-meeting winter' is full of challenges.
In order to achieve the above purpose, the present invention provides the following technical solutions: a cloud computing-based smart grid load prediction management platform, comprising:
load basic data management, which is used for managing the load data collected by 96 points of the collectable equipment;
panoramic monitoring, which is used for monitoring the running load condition of the transformer substation in the jurisdiction in quasi-real time;
load regulation and control, which is to analyze and regulate the load according to the load condition;
the system integration comprises a marketing business system, a metering unified interface platform, a GIS system and a synchronous line loss system;
the load basic data management comprises power grid resource equipment graph access, power grid resource equipment load data management, power limiting regulation and control strategy configuration, grid management of a platform area and system parameter management.
As still further aspects of the invention: the load regulation and control comprises load user group management, load regulation and control analysis, load regulation and control monitoring, emergency regulation and control scheme reporting and load regulation and control statistical query, wherein the load user group management comprises load user group classification, load user group adjustment, safe operation load adjustment and regulation hierarchical management, and the load regulation and control analysis comprises station line variable load rate analysis, user load rate analysis, load regulation and control scheme management, load regulation and control requirement management and load regulation and control scheme generation.
As still further aspects of the invention: the panoramic monitoring comprises electricity consumption real-time monitoring service, load/current early warning and electricity consumption medium-short term prediction.
As still further aspects of the invention: the electricity utilization real-time monitoring service comprises substation operation load monitoring, feeder operation load monitoring, station operation load monitoring, special-purpose transformer user load monitoring, user load collection monitoring and panoramic monitoring visual display according to public transformer units.
As still further aspects of the invention: the load/current early warning comprises an overload operation early warning of a transformer substation, an overload operation early warning of a feeder line and an overload operation early warning of a transformer area.
As still further aspects of the invention: and the power utilization medium-short term prediction comprises feeder line load trend prediction and platform region load trend prediction.
Compared with the prior art, the invention has the beneficial effects that:
by means of the power-based data collection, load monitoring analysis and prediction are carried out from aspects of power grid station-line-variable load conditions, load trend, load demand and the like, load resources are fully coiled, accurate butt joint of supply and demand is achieved, the temperature-adjusting power consumption demands caused by high temperature and annual terminal cold flow in summer are solved, life and important user power supply of residents are guaranteed, power supply and power utilization order is maintained to be stable, power supply guarantee level is improved, and quick and better development of economy is promoted.
Detailed Description
In the following, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "configured" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art. Hereinafter, an embodiment of the present invention will be described in accordance with its entire structure.
Example 1
As a preferred embodiment of the present invention, a smart grid load prediction management platform based on cloud computing includes:
load basic data management, which is used for managing the load data collected by 96 points of the collectable equipment;
panoramic monitoring, which is used for monitoring the running load condition of the transformer substation in the jurisdiction in quasi-real time;
load regulation and control, which is to analyze and regulate the load according to the load condition;
the system integration comprises a marketing business system, a metering unified interface platform, a GIS system and a synchronous line loss system;
the load basic data management comprises power grid resource equipment graph access, management of power grid resource equipment load data, power limiting regulation and control strategy configuration, grid management of a platform area and system parameter management.
In the embodiment, the power grid resource equipment map is accessed, the power GIS geographic information system is accessed, the power grid resource overview map can be displayed in a geographic map or single line diagram form, each power grid specific equipment of a transformer substation, a feeder line, a distribution substation, a transformer area and below can be unfolded and browsed in a layered mode by taking a power supply company as a unit, the specific attribute ledgers of the equipment can be inquired, corresponding graphs can be opened and browsed, the graph where the equipment is located can be located, and the unit information of the equipment can be located on the graph; the management of the load data of the power grid resource equipment manages the load data collected by 96 points of the collectable equipment, and can perform data query according to conditions; the method comprises the steps of configuring a limit electricity regulation strategy, classifying accumulated operations in actual load regulation work according to scenes, forming a regulation strategy, configuring the regulation strategy, and formulating a regulation scheme for load analysis matching; the grid management of the platform area is carried out, and the client manager is responsible for displaying and managing the platform area in the jurisdiction; system parameter management, parameter setting of threshold values of application design, comprising: on the negative control monitoring graphical interface, the equipment performs gradual change color display along with the load data to perform parameter setting and load early warning parameter setting.
Example 2
As a preferred embodiment of the invention, the load regulation comprises load user group management, load regulation analysis, load regulation monitoring, emergency regulation scheme reporting and load regulation statistical query, the load user group management comprises load user group classification, load user group adjustment, safe operation load adjustment and regulation hierarchical management, and the load regulation analysis comprises station line variable load rate analysis, user load rate analysis, load regulation scheme management, load regulation requirement management and load regulation scheme generation.
In the embodiment, the load user group manages, and classifies the electricity consumers according to the power supply units, the transformer stations, the circuits, the transformer areas, the electricity types, the high energy consumption industry, the production shifts and the importance levels, and can be subdivided for the second time according to the capacity and the electric quantity; the load user group is classified, and electricity consumers are subjected to multidimensional display according to power supply units, transformer substations, circuits, transformer areas, electricity categories, high energy consumption industries, production shifts, importance levels, capacities, electric quantity and the like; the load user group adjustment can be performed manually according to the special needs of the load users, for example, the power cut-off electricity limiting turn of the user can be customized, and the system can set the customized priority; the safety operation load is adjusted, and according to the user condition, the safety operation load of the user can be independently set, so that safety events caused by electricity limiting are avoided; the control hierarchical management provides a load control hierarchical management basic module, combines the conditions of key users, high energy consumption users and power failure electricity limiting rounds, and the management mode is executed according to the following requirements, and carefully clears the specific conditions of civil load, important load, air conditioning load, transferable and limited load, combines the specific conditions of regional industry development, electricity utilization structure, energy consumption double control completion, user production characteristics and the like, specifically refines and compiles the local regional ordered electricity utilization scheme to determine the ordered electricity utilization enterprise list so as to achieve user determination, load determination and line determination according to the requirements of 'civil priority, limited maintenance, hierarchical control and legal compliance'; analyzing the station line variable load rate, analyzing the quasi-real-time load condition of each node according to the station-line-variable network frame, analyzing the number of users of each node, the importance level of the users, the electricity type and the quasi-real-time electricity load, and focusing the overload transformer equipment according to the equipment of which the station-line-variable network frame structure exceeds the load rate threshold value; user load rate analysis, namely analyzing a user list of a power supply range according to the overload transformer equipment and a transformer-box-user relationship, forming classified load rate conditions of stations, lines, transformers, user groups and users for various user conditions, analyzing daily power consumption conditions of special-purpose high-voltage users and 96-point user point conditions, and forming user group classified load rates according to user group classified conditions; according to the load regulation and control scheme, the regulation and control requirements are quoted, according to the electricity consumption quasi-real-time monitoring and early warning information and the electricity consumption medium-short term prediction result, and the load analysis condition, according to the dimensions of user importance level, quasi-real-time load quantity, user type influence, user number and the like, the system automatically analyzes the adjustable load space, automatically generates the load regulation and control scheme according to the regulation and control scheme template, orders the regulation and control scheme according to the priority order, and can determine the regulation and control scheme according to the actual condition; load regulation and control scheme management, a regulation and control scheme template management function is established, a scheme template can be adjusted according to requirements, and a system can form specific contents of a regulation and control scheme according to the scheme template; load regulation and control demand management, namely, formulating load control electricity utilization index demands according to supply and demand conditions, decomposing the load control electricity utilization index demands to reach power supply units at all levels, formulating a load control electricity utilization index decomposition table according to the issued electricity utilization indexes by the power supply units at all levels and combining the local area electricity supply and demand conditions, and maintaining corresponding indexes according to station line changes; generating a load regulation scheme, automatically completing programming the load regulation scheme, determining clients participating in different early warning levels in the scheme and regulating the load of the clients, determining a sequential power consumption scheme to start according to analysis results of supply and demand situations, programming a sequential power consumption execution scheme daily by daily, transmitting the sequential power consumption execution scheme to a client (platform area) manager for specific execution, tracking the execution condition of the sequential power consumption scheme during the implementation of the sequential power consumption scheme, acquiring effect feedback, adjusting the sequential power consumption scheme according to feedback results, and specifically executing the following steps:
scheme generation, namely automatically generating a corresponding regulation scheme according to a load regulation rule;
scheme auditing, namely completing scheme auditing according to the generated regulation and control scheme;
scheme approval, namely finishing regulation scheme approval according to an auditing result;
the scheme execution, the regulation and control scheme passing the approval is issued to a platform manager module, and the service system and the customer service system are synchronously notified for reporting;
scheme adjustment, in which the condition of supply and demand change exists in the execution process, needs to be performed in time, and can be returned by a client manager to perform scheme adjustment, auditing and approval again.
Example 3
As a preferred embodiment of the invention, panoramic monitoring includes electricity consumption real-time monitoring services, load/current pre-warning and electricity consumption mid-short term prediction.
In the embodiment, load regulation and control monitoring is performed, the load regulation and control conditions of each node of the station-line-transformer are monitored, the site execution conditions are recorded, the conditions of load change after regulation and control, user influence, whether expected conditions are reached or not are analyzed, if the monitored load does not reach the standard, the monitoring load can be reminded again by utilizing an early warning function, and then the condition of load pressure drop of the user production and whether power-on production is privately conducted or not are judged according to the collected real-time data; in the process of regulation and monitoring, if the condition that the load regulation and control does not reach the target occurs, a client (platform area) manager selects a load regulation and control scheme which accords with the actual condition of the site to report according to the working experience of the client (platform area), and the client (platform area) manager registers and issues power failure information through relevant lead approval, and then performs site emergency treatment; and carrying out load curve statistics and inquiry on the high-voltage special transformer users according to industry and electricity consumption types.
In this embodiment, the marketing business system in the system integration: integrating with a marketing business system, and acquiring basic file information of a transformer substation, a line, a transformer, a metering box, a user, an operation meter, association relation information of the metering box and the meter, association relation information of the user and the meter, business expansion and installation application information and application flow link information every day; metering unified interface platform: integrating with an acquisition system, and acquiring data of a gateway meter, voltage, current, active power, reactive power, meter phase and electric quantity (of which the HPLC is applied) of the ammeter meter every day; GIS system: integrating with a GIS system, and acquiring attribute information such as a station, a line, a transformer, a low-voltage contact point, a metering box and the like, and association relation information of the station, the line, the transformer, the low-voltage contact point and the metering box; synchronous line loss system: and integrating with the synchronous line loss to obtain the station-line-transformer-box-family relation information.
Example 4
As a preferred embodiment of the invention, the electricity real-time monitoring service comprises substation operation load monitoring, feeder operation load monitoring, station operation load monitoring, special-change user load monitoring, user load collection monitoring according to public change units and panoramic monitoring visual display.
In the embodiment, the operation load monitoring of the transformer substation is performed, based on a geographic diagram, the operation load condition of the transformer substation in a jurisdiction is monitored in quasi-real time, the operation load states (light load, half load, heavy load, full load and overload) of the transformer substation are distinguished by different colors, and the operation load monitoring of the transformer substation can be performed to check the load data and the load dynamic change curve of the transformer substation in quasi-real time; and (3) monitoring the operation load of the feeder line, namely monitoring the operation condition of the feeder line under the transformer substation by entering the feeder line through the transformer substation based on a geographic diagram. The feeder line operation load states (light load, half load, heavy load, full load and overload) are distinguished by different colors, and feeder line operation load data and a load dynamic change curve are updated in near real time according to the acquisition frequency; the method comprises the steps of monitoring the running load of a platform region, entering the platform region connected with a feeder line through the feeder line based on a geographic diagram, monitoring the running load condition of the platform region, distinguishing the running load states (light load, half load, heavy load, full load and overload) of the platform region through different colors, and updating the running load data and a dynamic change curve of the load of the platform region in near real time according to the acquisition frequency; monitoring the load of a special transformer user, monitoring the running load condition of the special transformer user in large industry according to units, distinguishing the running load states (light load, half load, heavy load, full load and overload) of the special transformer user by different colors, and updating the running load data and the dynamic load change curve of the special transformer user in near real time according to the acquisition frequency; the method comprises the steps of carrying out load monitoring on a user set according to a public transformer unit, monitoring the running load condition of the public transformer user according to the unit, carrying out load state monitoring according to the public transformer unit, wherein running load data are obtained by summarizing the total value of the running load of the user belonging to the public transformer, wherein the running load states (light load, half load, heavy load, full load and overload) of the public transformer (the user load total value) are distinguished by different colors, and the running load data and a dynamic load change curve of the public transformer (the user load total value) are updated in near real time according to the acquisition frequency; and carrying out panoramic monitoring visual display, namely carrying out station-line-quasi real-time load monitoring visual display of a geographical map, wherein the power supply side equipment load condition visual panoramic map is realized, the power supply side load visual cloud map is divided into private transformer users and public transformer users, the private transformer users carry out load condition cloud map display according to the users, and the public transformer users collect total load data of the users belonging to the public transformer in a public transformer unit to carry out cloud map display.
Example 5
As a preferred embodiment of the invention, the load/current early warning comprises an overload operation early warning of a transformer substation, an overload operation early warning of a feeder line and an overload operation early warning of a transformer area.
In the embodiment, the overload operation early warning of the transformer substation is performed, based on the monitoring result data of the operation load of the transformer substation, the operation load threshold (which can be set by parameters) of the transformer substation is combined, and the normal power supply of the transformer substation is possibly influenced when the threshold is exceeded, so that the automatic early warning of the transformer substation is performed; the feeder overload operation early warning is carried out, based on the feeder operation load monitoring data result, a feeder operation load threshold value (capable of being set by parameters) is combined, and when the current flowing through the line exceeds the threshold value, the normal operation of the line is possibly affected, and the line automatic early warning is carried out; and (3) carrying out overload operation early warning on the platform region, wherein the overload operation early warning is based on the monitoring data result of the operation load of the platform region, and the platform region is automatically early warned when the operation load of the platform region exceeds a threshold value by combining with the operation load threshold value (which can be set by parameters).
Example 6
As a preferred embodiment of the present invention, the power consumption mid-short term prediction includes feeder load trend prediction and district load trend prediction.
In the embodiment, the medium-short term power load prediction is very important in the operation scheduling of the power system, the power load prediction is beneficial to the early response and prevention of a power grid control room, a power supply plan is reasonably arranged, normal production and life are ensured, electric energy quality complaints are reduced, and electric energy quality is improved; in the power load prediction, the power loads are classified according to the load basic information condition in a load management system, different kinds of power loads are applied to different prediction models; aiming at different user portrait characteristic attributes, a regression analysis algorithm is utilized to establish a power consumption medium-short term prediction model, statistical analysis, linear space transformation and other modes are utilized to process prediction data, the prediction requirements of different dimensions are met, and algorithm models such as an autoregressive ARIMA prediction model, a Back generation neural network algorithm, a short-term memory neural network LSTM, a short-term electric quantity predicted value restoration model and the like are combined; the method comprises the steps of predicting a feeder load trend, merging and generating a feeder prediction model by a platform region prediction model according to a time sequence, analyzing feeder prediction data, providing a prediction graph of load conditions changing along with time under a continuous observation condition by a prediction function, and providing time, place and occurrence probability of a possible power supply insufficient area of a feeder in a half-year interval according to recent load change conditions and long-term big data history; and (3) predicting the load trend of the platform area, classifying and portraying the users under the platform area, predicting the middle and long time of the platform area through influence factor related algorithms of different user types and a neural network model, wherein the platform area prediction data are the power consumption and electric quantity development trend prediction, the prediction function provides a prediction graph of the load condition changing along with time under the continuous observation condition, and the time, the place and the occurrence probability of the area possibly with insufficient power supply are given through the platform area power consumption model and the combination of historical big data.
The foregoing description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical solution of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (8)
1. A cloud computing-based smart grid load prediction management platform, comprising:
load basic data management, which is used for managing the load data collected by 96 points of the collectable equipment;
panoramic monitoring, which is used for monitoring the running load condition of the transformer substation in the jurisdiction in quasi-real time;
load regulation and control, which is to analyze and regulate the load according to the load condition;
the system integration comprises a marketing business system, a metering unified interface platform, a GIS system and a synchronous line loss system;
the load basic data management method is characterized by comprising power grid resource equipment graph access, power grid resource equipment load data management, electricity limiting regulation and control strategy configuration, grid management of a platform region and system parameter management.
2. The cloud computing-based smart grid load prediction management platform of claim 1, wherein the load regulation comprises load user group management, load regulation analysis, load regulation monitoring, emergency regulation scheme reporting, and load regulation statistical query.
3. The intelligent power grid load prediction management platform based on cloud computing according to claim 2, wherein the load user group management comprises load user group classification, load user group adjustment, safe operation load adjustment, regulation and control hierarchical management.
4. The intelligent power grid load prediction management platform based on cloud computing according to claim 3, wherein the load regulation analysis comprises station line variable load rate analysis, user load rate analysis, load regulation scheme management, load regulation demand management and load regulation scheme generation.
5. The smart grid load prediction management platform based on cloud computing as recited in claim 4, wherein the panoramic monitoring includes power consumption real-time monitoring services, load/current early warning and power consumption mid-short term prediction.
6. The cloud computing-based intelligent power grid load prediction management platform according to claim 5, wherein the electricity consumption real-time monitoring service comprises substation operation load monitoring, feeder operation load monitoring, platform region operation load monitoring, special transformer user load monitoring, user load collection monitoring and panoramic monitoring visual display according to public transformer units.
7. A smart grid load prediction management platform based on cloud computing as recited in claim 3, wherein the load/current pre-warning includes substation overload operation pre-warning, feeder overload operation pre-warning, and zone overload operation pre-warning.
8. The smart grid load prediction management platform based on cloud computing as recited in claim 5, wherein the mid-to-short term power consumption predictions include feeder load trend predictions and platform load trend predictions.
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