CN112508447A - Cloud platform based collaborative maintenance and sharing method for setting computing system power grid model - Google Patents
Cloud platform based collaborative maintenance and sharing method for setting computing system power grid model Download PDFInfo
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Abstract
A cloud platform based collaborative maintenance and sharing method for a setting computing system power grid model comprises the following steps: step 1, a cloud platform acquires existing automatic model data of a power grid; step 2, determining a standard format of the power grid model; step 3, setting a unified interface for acquiring multi-system model data; step 4, the relay protection setting calculation system sets the power grid model acquisition permission of the user; step 5, prompting the power grid model of the relevant local user to be updated according to the permission set in the step 4 if the power grid model of the cloud platform is updated, and acquiring the power grid model update; and if the local user manually maintains the power grid model through the relay protection setting calculation system, auditing and uploading the maintained power grid model, and updating the power grid model of the cloud platform. The invention solves the problems that the power grid model of the relay protection setting calculation system, the device setting value data and the like can not realize data sharing, standardization, normalization and the like.
Description
Technical Field
The invention belongs to the technical field of relay protection setting calculation of a power system, and particularly relates to a cloud platform-based collaborative maintenance and sharing method for a setting calculation system power grid model.
Background
In the prior art, the operation mode of a relay protection setting calculation system of a power system is a C/S (client/server) framework, data and an algorithm are completely independent, and the real-time performance of database interaction data is poor and cannot be monitored. Two common methods for modeling a power grid model include:
the method comprises the following steps: model files in D5000 equipment are manually exported and then manually imported into a relay protection setting calculation system, when the method cannot realize that power grid model data or topology in D5000 equipment changes, the relay protection setting calculation system updates data in real time, and power grid model change needs to be manually carried out, and the method has the following problems in practical application:
1) the model updating is delayed, the fixed value calculation is delayed, and the working progress is influenced;
2) after the model is updated, manual operation is needed, and the workload is increased;
3) in the process of exporting and importing the model file, phenomena such as model data errors or partial data loss caused by human errors are easy to occur;
4) since the relay protection setting calculation needs to perform setting calculation on the newly-input equipment before the newly-input equipment is put into operation formally, at this time, the equipment is not added in the D5000 model, and manual modeling needs to be performed in a relay protection setting calculation system generally, but the model cannot be shared by other systems.
The second method comprises the following steps: in a relay protection setting calculation system, the following problems exist in manual drawing modeling:
1) manual drawing modeling has large workload, high error rate and large maintenance difficulty;
2) data maintained in the relay protection setting calculation software cannot be synchronously updated to other systems, so that users of different systems of a power grid company need to repeatedly maintain models for many times, the workload is large, and the models in front of each system are easy to be inconsistent;
3) different schedules of upper and lower power grids and boundary plant stations and boundary line models between different regional power grids need to be modeled, but the upper power grid or a certain regional power grid belongs to, the updating of equipment, the change information of topology and parameters of the upper power grid or the lower power grid can be obtained and updated only by a company, other models used for scheduling can have the problems of updating lag and the like, and meanwhile, a unified plant station model also needs to be maintained in different power grid models;
4) the data cannot be shared by multiple systems, and the device model constant value data generated in the relay protection setting calculation system is not standardized and granular, so that the realization of cross-professional data sharing and sharing provided by the ubiquitous power internet of things is not facilitated.
The basic technical system and the application mode of a setting calculation system in the prior art are difficult to meet the service of functional application and the efficient sharing of data. Whether the method I or the method II is adopted, the model data does not meet the requirements of standardization and normalization on data interaction and application of various information systems.
In recent years, cloud computing is a brand-new computing mode, and with the development of cloud computing, cloud platforms such as Google, Amazon, IBM and microsoft are established by many companies. At present, the construction of a cloud platform is accelerated in an electric power system, and a foundation is provided for realizing development strategies and requirements of one data source, one power grid graph and one service line.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a cloud platform-based collaborative maintenance and sharing method for a setting computing system power grid model, and solve the problems that data sharing, standardization and normalization cannot be realized for the relay protection setting computing system power grid model, device setting value data and the like, the models are not unified, the multi-stage model maintenance has barriers, the workload of personnel is large and the like. By means of the method for automatically acquiring and updating the cloud model and the multi-system multi-stage power grid multi-user collaborative maintenance and sharing model, one source of data and one power grid are achieved, workload of workers is reduced to the maximum extent, model error rate caused by insufficient or error business knowledge of operators is reduced, data is updated timely, and calculation error rate of protection setting values is reduced, so that safe operation of the power grid is guaranteed.
The invention adopts the following technical scheme.
The cloud platform-based power grid model collaborative maintenance and sharing method for the setting computing system comprises the following steps:
step 1, a cloud platform acquires existing automatic model data of a power grid;
step 2, carrying out data structured design on a cloud platform power grid model, namely determining a power grid model standard format;
step 3, a cloud platform power grid model data acquisition interface is set, and a unified interface is adopted for acquiring multi-system model data;
step 4, the relay protection setting calculation system sets the power grid model acquisition permission of the user;
step 5, prompting the power grid model of the relevant local user to be updated according to the permission set in the step 4 if the power grid model of the cloud platform is updated, and acquiring the power grid model update; and if the local user manually maintains the power grid model through the relay protection setting calculation system, auditing and uploading the maintained power grid model, and updating the power grid model of the cloud platform.
Preferably, the first and second electrodes are formed of a metal,
in step 1, the existing power grid automation model data acquired by the cloud platform includes: topology data, device parameters, affiliated stations, affiliated areas, and primitive data.
Preferably, the first and second electrodes are formed of a metal,
and 3, setting a cloud platform power grid model data acquisition interface in a service bus mode.
Preferably, the first and second electrodes are formed of a metal,
in step 4, the setting calculation system for relay protection sets the power grid model acquisition permission of the user, and the setting calculation system for relay protection sets the power grid model acquisition permission of the user to include: the method comprises the steps of obtaining the power grid model range of the cloud platform, judging whether the power grid model range has model updating authority or not, judging whether the power grid model range has model maintaining authority or not, judging whether the power grid model range has model uploading authority or not and verifying authority or not.
Preferably, the first and second electrodes are formed of a metal,
the step 5 specifically comprises the following steps:
step 5.1, prompting users with model updating authority in the area of the plant station with the changed model after the cloud platform power grid model is changed, and pushing prompt information;
step 5.2, downloading the power grid model data and the primitive data within the authority range of the cloud platform through calling the power grid model data acquisition interface of the cloud platform;
step 5.3, maintaining and auditing the power grid model and uploading the power grid model to a cloud platform;
and 5.4, storing the power grid model data into a cloud platform database, describing the model and recording the model version, and simultaneously issuing a model updating prompt to the scheduling and users related to the modified model by the cloud platform.
Preferably, the first and second electrodes are formed of a metal,
step 5.2 comprises the following steps:
step 5.2.1, analyzing model data according to the data interaction specification to form a power grid model and graphical display in a region required by the relay protection setting system;
and 5.2.2, verifying and analyzing the downloaded model data.
Preferably, the first and second electrodes are formed of a metal,
in step 5.2.1, the data parsing includes: processing is carried out aiming at the primitives, equipment relations, parameters and the like of the power grid model, and the analysis of primitive connection relations, the generation of graphic physical topological connection data, the generation of electrical topological connection data and the generation of electrical branch refined topological connection relations are realized.
Preferably, the first and second electrodes are formed of a metal,
in step 5.2.2, the verifying and analyzing of the model data comprises: checking model topology, detecting circuit parameter real-time performance and detecting parameter differentiation.
Preferably, the first and second electrodes are formed of a metal,
step 5.3 comprises the following steps:
step 5.3.1, comparing models, and judging whether the models are different from the existing models of the setting system in the same range;
step 5.3.2, if no difference exists, returning to the step 5; if the difference exists, prompting that a new model exists, judging whether the model is updated or not by checking a model comparison result;
step 5.3.3, if the model is not updated, terminating, and still keeping the prompt state; if the model is selected to be updated, carrying out model topology check;
step 5.3.4, automatically checking the parameters of the model equipment, and prompting parameter abnormity or a parameter missing list;
and 5.3.5, performing manual judgment and maintenance according to the authority, and if the data is maintained, submitting a model uploading flow by a user with the model uploading authority, and uploading the model uploading flow to the cloud platform after auditing.
Compared with the prior art, the invention has the advantages of realizing the whole network, one map, one data source, multi-person maintenance, data sharing and integrated modeling, and specifically comprises the following steps:
1) after the company of the upper and lower power grids and the power grids in different areas obtains and updates the model in time, the system automatically reminds the relevant user model of updating, other dispatches do not need repeated modeling, the model can be directly shared, the workload is reduced, the problems of model updating lag and the like can be avoided, and the timeliness and the accuracy of fixed value calculation are ensured.
2) After the model is updated, the model does not need to be manually updated, the system can automatically update the model, meanwhile, the updating content of the model is displayed, and a user only needs to update or not update according to the service, so that the workload is reduced to a great extent.
3) The processes of obtaining and updating the model and the like are automatically carried out by the system, so that the phenomena of model data errors or partial data loss and the like caused by human errors are avoided.
4) The plant station, the equipment model and the parameters which are not put into the manual maintenance of the relay protection setting calculation system can be shared to the cloud platform in time, other systems are shared, and repeated modeling of unified equipment by multiple persons is avoided.
5) Through standardized and normalized model data, automatic analysis is carried out, manual drawing and modeling are not needed, the power grid which is increasingly large is faced, the workload is greatly reduced, the error rate is high, the manual maintenance difficulty is low, and the dependence on professional knowledge of service personnel is reduced.
6) Data maintained in the relay protection setting calculation software cannot be synchronously updated to other systems, so that users of different systems of a power grid company need to repeatedly maintain models for many times, the workload is large, and the models in front of each system are easily inconsistent.
7) The data sharing among multiple systems is realized, and the device model constant value data generated in the relay protection setting calculation system is insufficient in standardization and granulation, so that the realization of cross-professional data sharing and sharing provided by the ubiquitous power internet of things is not facilitated.
Drawings
FIG. 1 is a flow chart of a cloud platform based power grid model collaborative maintenance and sharing method for a tuning computing system provided by the invention;
fig. 2 is a flow chart of updating, maintaining and sharing of a power grid model of a relay protection setting calculation system of a cloud platform provided by the invention.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
The invention firstly obtains power grid model data from the existing automation equipment database of the power grid and stores the data into the cloud platform database to realize cloud model data management, the relay protection setting calculation system obtains power grid model standardized data in a scheduling or authority range from the cloud platform through a universal data interface and analyzes the data into models required by each system, meanwhile, operators at all levels can maintain the power grid models of respective regulating and managing in the authority range, including adding, modifying, deleting stations, equipment and the like, and parameters of each equipment, meanwhile, after being audited, the data can be shared to the cloud platform to realize data sharing, each level of power grid shares one graph and one data source to realize multi-system collaborative maintenance and sharing model, meanwhile, after the model is updated, the relevant application systems are simultaneously prompted by the model updating and the model updating content, so that the timeliness of data updating is realized.
Specifically, as shown in fig. 1, the invention discloses a cloud platform-based power grid model collaborative maintenance and sharing method for a tuning calculation system, which comprises the following steps:
step 1, the cloud platform obtains existing model data of power grid automation, including but not limited to topological data, equipment parameters, stations and areas of the cloud platform, primitive data and the like.
In the preferred embodiment, the cloud platform obtains the existing model data of the power grid automation from the D5000 device.
And 2, carrying out data structural design on the cloud platform power grid model, namely determining a standard format of the power grid model.
It should be noted that those skilled in the art may complete the structured design of the cloud platform power grid model data according to any specifications, and a preferred but non-limiting embodiment is to complete the structured design of the cloud platform power grid model data and determine the standard format of the power grid model according to specifications such as "national center of regulation" notification on basic data acquisition and application specification (2014 edition) (abbreviated as 112 text).
And 3, setting a cloud platform power grid model data acquisition interface, wherein a unified interface is adopted for acquiring the multi-system model data.
It is to be noted that, a person skilled in the art may set the cloud platform power grid model data acquisition interface in any manner, and a preferred but non-limiting embodiment is to set the cloud platform power grid model data acquisition interface in a service bus manner, so as to implement a unified interface for acquiring multi-system model data.
The multiple systems include, but are not limited to, a regulation cloud system, an upper and lower relay protection setting system, a relay protection constant value online checking system and a power grid topology analysis system.
And 4, setting the power grid model acquisition permission of the user by the relay protection setting calculation system.
In a preferred but non-limiting embodiment, the power grid model acquisition authority of the user is divided into: the obtained power grid model range of the cloud platform, whether the power grid model has the model updating authority, whether the power grid model has the model maintenance authority, whether the power grid model has the model data uploading authority, the auditing authority and the like.
Step 5, prompting the power grid model of the relevant local user to be updated according to the permission set in the step 4 if the power grid model of the cloud platform is updated, and acquiring the power grid model update; and if the local user manually maintains the power grid model through the relay protection setting calculation system, auditing and uploading the maintained power grid model, and updating the power grid model of the cloud platform. Specifically, as shown in fig. 2, the method includes:
and 5.1, setting a power grid model updating prompt function by the relay protection setting calculation system, timely reminding users with model updating authority in the area of the plant station with the changed model after the power grid model of the cloud platform is changed, and pushing prompt information on an interface home page.
And 5.2, downloading the power grid model data and the primitive data within the authority range of the cloud platform through calling the power grid model data acquisition interface of the cloud platform. And analyzing and checking the model data. The method specifically comprises the following steps:
step 5.2.1, analyzing model data according to the data interaction specification to form a power grid model and graphical display in a region required by the relay protection setting system;
data interaction specifications including, but not limited to, a cloud platform power grid model structured data format;
the data analysis comprises the following steps: processing is carried out aiming at the primitives, equipment relations, parameters and the like of the power grid model, and the analysis of primitive connection relations, the generation of graphic physical topological connection data, the generation of electrical topological connection data and the generation of electrical branch refined topological connection relations are realized;
the graphical display content comprises:
(1) basic logic for checking model accuracy, including but not limited to, limiting logic of model topology such as branch connection restriction relation, voltage level restriction relation, and the like;
(2) the location information of the branch and the basic information of the branch, including but not limited to, the name of the branch;
(3) matching relationship information and matching branch basic information;
(4) branch connection relation information.
Step 5.2.2, the downloaded model data is checked and analyzed, and model accuracy auditing is increased, and the method comprises the following steps:
1) and (3) checking the model topology: a connection restriction rule base among the program content design primitives, after the graphics are drawn, the graphics are screened, and an alarm is given for an error connection element; and the accuracy of the integral topology of the model is checked during storage, so that reliable guarantee is provided for generating an accurate model for the topology service.
2) Line parameter actual measurement detection: the line parameters are used as basic data for protection constant value calculation and fault analysis, the accuracy of the line parameters determines the accuracy of related calculation analysis, and the specification requires that each line parameter in the ultra-high voltage power grid adopts a measured value, so that the invention designs the function of checking the actual measurement application condition of the line parameters based on an automatically generated full power grid model, and when the calculation mode in the line parameters is the measured value, the original voltage grade color is maintained; when the line calculation mode is the design value, the line is lightened.
3) And (3) detecting parameter differentiation: judging the rationality of parameters in a program according to empirical parameters aiming at a transformer, a generator and the like; the input of the line parameters is subjected to functional design of compliance check by combining relevant industry regulations and experiences of the line parameters; and designing a standard specification dictionary of the line parameters, and carrying out alarm prompt on the parameters which are not in line with the specification of the specification dictionary.
Step 5.3, maintaining and auditing the power grid model and uploading the power grid model to a cloud platform; the method specifically comprises the following steps:
step 5.3.1, comparing the models, and judging whether the models are different from the existing models in the same range of the setting system, wherein the step comprises the following steps: topology, parameters, devices, etc.
Step 5.3.2, if no difference exists, returning to the step 5; if the difference exists, prompting that a new model is available, and judging whether the model is updated or not by looking up the comparison result of the models through the special responsibility.
Step 5.3.3, if the model is not updated, terminating, and still keeping the prompt state; and if the model is selected to be updated, carrying out model topology check and judging whether isolated nodes, isolated plant stations, isolated equipment and the like exist.
Step 5.3.4, automatically checking the parameters of the model equipment, and prompting parameter abnormity or a parameter missing list;
and 5.3.5, performing manual judgment and maintenance according to the authority, and if data maintenance is performed, proposing a model uploading flow by a user with the model uploading authority, and finally uploading the model to the cloud platform after all levels of auditing.
And 5.4, storing the model data into a cloud platform database, describing the model and recording the version of the model, and simultaneously issuing a model updating prompt to a scheduling user and a user related to model modification by the cloud platform.
Compared with the prior art, the invention has the advantages of realizing the whole network, one map, one data source, multi-person maintenance, data sharing and integrated modeling, and specifically comprises the following steps:
1) after the company of the upper and lower power grids and the power grids in different areas obtains and updates the model in time, the system automatically reminds the relevant user model of updating, other dispatches do not need repeated modeling, the model can be directly shared, the workload is reduced, the problems of model updating lag and the like can be avoided, and the timeliness and the accuracy of fixed value calculation are ensured.
2) After the model is updated, the model does not need to be manually updated, the system can automatically update the model, meanwhile, the updating content of the model is displayed, and a user only needs to update or not update according to the service, so that the workload is reduced to a great extent.
3) The processes of obtaining and updating the model and the like are automatically carried out by the system, so that the phenomena of model data errors or partial data loss and the like caused by human errors are avoided.
4) The plant station, the equipment model and the parameters which are not put into the manual maintenance of the relay protection setting calculation system can be shared to the cloud platform in time, other systems are shared, and repeated modeling of unified equipment by multiple persons is avoided.
5) Through standardized and normalized model data, automatic analysis is carried out, manual drawing and modeling are not needed, the power grid which is increasingly large is faced, the workload is greatly reduced, the error rate is high, the manual maintenance difficulty is low, and the dependence on professional knowledge of service personnel is reduced.
6) Data maintained in the relay protection setting calculation software cannot be synchronously updated to other systems, so that users of different systems of a power grid company need to repeatedly maintain models for many times, the workload is large, and the models in front of each system are easily inconsistent.
7) The data sharing among multiple systems is realized, and the device model constant value data generated in the relay protection setting calculation system is insufficient in standardization and granulation, so that the realization of cross-professional data sharing and sharing provided by the ubiquitous power internet of things is not facilitated.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.
Claims (9)
1. The cloud platform-based collaborative maintenance and sharing method for the setting computing system power grid model is characterized by comprising the following steps of:
step 1, a cloud platform acquires existing automatic model data of a power grid;
step 2, carrying out data structured design on a cloud platform power grid model, namely determining a power grid model standard format;
step 3, a cloud platform power grid model data acquisition interface is set, and a unified interface is adopted for acquiring multi-system model data;
step 4, the relay protection setting calculation system sets the power grid model acquisition permission of the user;
step 5, prompting the power grid model of the relevant local user to be updated according to the permission set in the step 4 if the power grid model of the cloud platform is updated, and acquiring the power grid model update; and if the local user manually maintains the power grid model through the relay protection setting calculation system, auditing and uploading the maintained power grid model, and updating the power grid model of the cloud platform.
2. The cloud platform based tuning computation system power grid model collaborative maintenance and sharing method of claim 1, characterized in that:
in step 1, the existing power grid automation model data acquired by the cloud platform includes: topology data, device parameters, affiliated stations, affiliated areas, and primitive data.
3. The cloud platform based tuning computation system power grid model collaborative maintenance and sharing method of claim 1, characterized in that:
and 3, setting a cloud platform power grid model data acquisition interface in a service bus mode.
4. The cloud platform based tuning computing system power grid model collaborative maintenance and sharing method according to any one of claims 1 to 3, characterized in that:
in step 4, the setting calculation system for relay protection sets the power grid model acquisition permission of the user, and the setting calculation system for relay protection sets the power grid model acquisition permission of the user to include: the method comprises the steps of obtaining the power grid model range of the cloud platform, judging whether the power grid model range has model updating authority or not, judging whether the power grid model range has model maintaining authority or not, judging whether the power grid model range has model uploading authority or not and verifying authority or not.
5. The cloud platform based tuning computing system power grid model collaborative maintenance and sharing method according to any one of claims 1 to 4, characterized in that:
the step 5 specifically comprises the following steps:
step 5.1, prompting users with model updating authority in the area of the plant station with the changed model after the cloud platform power grid model is changed, and pushing prompt information;
step 5.2, downloading the power grid model data and the primitive data within the authority range of the cloud platform through calling the power grid model data acquisition interface of the cloud platform;
step 5.3, maintaining and auditing the power grid model and uploading the power grid model to a cloud platform;
and 5.4, storing the power grid model data into a cloud platform database, describing the model and recording the model version, and simultaneously issuing a model updating prompt to the scheduling and users related to the modified model by the cloud platform.
6. The cloud platform based tuning computation system power grid model collaborative maintenance and sharing method of claim 5, characterized in that:
step 5.2 comprises the following steps:
step 5.2.1, analyzing model data according to the data interaction specification to form a power grid model and graphical display in a region required by the relay protection setting system;
and 5.2.2, verifying and analyzing the downloaded model data.
7. The cloud platform based tuning computation system power grid model collaborative maintenance and sharing method according to claim 5 or 6, characterized in that:
in step 5.2.1, the data parsing includes: processing is carried out aiming at the primitives, equipment relations, parameters and the like of the power grid model, and the analysis of primitive connection relations, the generation of graphic physical topological connection data, the generation of electrical topological connection data and the generation of electrical branch refined topological connection relations are realized.
8. The cloud platform based tuning computation system power grid model collaborative maintenance and sharing method of claim 7, characterized in that:
in step 5.2.2, the verifying and analyzing of the model data comprises: checking model topology, detecting circuit parameter real-time performance and detecting parameter differentiation.
9. The cloud platform based tuning computation system power grid model collaborative maintenance and sharing method according to claim 5 or 6, characterized in that:
step 5.3 comprises the following steps:
step 5.3.1, comparing models, and judging whether the models are different from the existing models of the setting system in the same range;
step 5.3.2, if no difference exists, returning to the step 5; if the difference exists, prompting that a new model exists, judging whether the model is updated or not by checking a model comparison result;
step 5.3.3, if the model is not updated, terminating, and still keeping the prompt state; if the model is selected to be updated, carrying out model topology check;
step 5.3.4, automatically checking the parameters of the model equipment, and prompting parameter abnormity or a parameter missing list;
and 5.3.5, performing manual judgment and maintenance according to the authority, and if the data is maintained, submitting a model uploading flow by a user with the model uploading authority, and uploading the model uploading flow to the cloud platform after auditing.
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