CN111562981B - Relay protection setting calculation method based on back-end cloud assembly - Google Patents
Relay protection setting calculation method based on back-end cloud assembly Download PDFInfo
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
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- G—PHYSICS
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a relay protection setting calculation method based on back-end cloud assembly, which comprises the following steps: constructing a cloud assembly management center, assembling the cloud assembly, distributing and synchronizing a calculation model, and cooperatively executing setting calculation tasks by the cloud assembly; the cloud component management center is deployed in the core server and is responsible for managing all cloud components, and when a cloud component installation request of the cloud server is received, the management center is responsible for pushing the requested cloud component software package to the corresponding server; and then preparing for cloud component assembly and calculation model distribution synchronization, and finally, when the cloud components cooperatively execute a setting calculation task, distributing the calculation task through a task proxy server, receiving a receipt and calling the cloud components of the cloud server to perform large-scale fault calculation. The invention can improve the working efficiency and the operation speed of relay protection setting calculation.
Description
Technical Field
The invention relates to the field of relay protection of power systems, in particular to a relay protection setting calculation method based on back-end cloud assembly.
Background
As the power grid develops, the types of functions to be developed by the setting computing system are more and more increased, and the functional differences caused by custom development are more and more complex. In order to solve the problem, the prior method is that the back end of the system is modularized like the front end, so that services are separated and codes are layered, but a large number of layers can lead to overlarge system depth, redundancy and complexity, lower maintainability and affected system operation efficiency.
The system is suitable for the relevant functions of the power grid relay protection setting computing platform, and consists of modes of a client side, a cloud component management center, a load equalizer and a back end frame, wherein the cloud component management center, the load equalizer and the back end frame are software systems forming the system, and can be deployed in different cloud servers separately or in the same cloud server. The back-end framework comprises a plurality of cloud servers, the system can dynamically/manually configure the cloud components according to the load state/performance configuration of the cloud servers, and the cloud components are installed by sending an installation request to a cloud component management center according to configuration information or operation instructions and receiving corresponding jar packages, scripts and the like.
Disclosure of Invention
Aiming at the problems, the invention provides a relay protection setting calculation method based on back-end cloud assembly, which can classify relay protection setting calculation type services, develop cloud assembly of single service functions after division and improve calculation efficiency.
In order to achieve the above purpose, the invention provides a relay protection setting calculation method based on back-end cloud assembly, which comprises the following steps: constructing a cloud assembly management center, assembling the cloud assembly, distributing and synchronizing a calculation model, and cooperatively executing setting calculation tasks by the cloud assembly; the cloud component management center is constructed by the following steps: the cloud component management center is deployed in the core cloud server and is responsible for managing all cloud components, and when receiving a cloud component installation request of the cloud server, the cloud component management center is responsible for pushing the requested cloud component software package to the corresponding cloud server; cloud components contained in the cloud component management center are as follows: the power grid parameter management cloud component is used for storing and providing setting calculation data; the computing model cloud component is used for forming an equivalent computing model from the setting computing data; the system comprises a computing tool cloud component, a setting advanced application cloud component, a device computing cloud component and a template algorithm cloud component, wherein the four cloud components are used for generating different types of business cases; and the fault computing core cloud component calculates the service case according to a calculation model.
Preferably, the cloud assembly is assembled as: respectively installing a cloud assembly management center and a load balancer in two cloud servers; the load balancer comprises a task proxy server and a data storage proxy server; the background frame comprises a main server and a plurality of computing force supporting cloud servers, and the cloud component management center sends a power grid parameter management cloud component, a calculation model cloud component, a calculation tool cloud component, a setting advanced application cloud component, a device calculation cloud component, a template algorithm cloud component and a fault calculation core cloud component to the main server of the background frame and sends the calculation model cloud component and the fault calculation core cloud component to the plurality of computing force supporting cloud servers.
Preferably, the calculation model distribution synchronization is as follows: when relay protection setting calculation is carried out, the load balancer sends calculation model data of a main server to all cloud servers in the background frame so as to synchronously update calculation model data of all cloud server calculation model cloud components in the background frame; and when the new online cloud server in the background frame is used, the load balancer sends the calculation model data of the main server to the new online cloud server so as to synchronously update the calculation model data of the calculation model cloud component of the new online cloud server.
In a preferred mode, the cloud component cooperatively executes the setting calculation task in the following process:
s1: the client sends a main task request related to setting calculation to the load balancer;
s2: the task proxy server of the load balancer sends the main task to a main server in a background frame for processing;
s3: when the main server receives the main task, judging whether the main task needs to be split according to the calculated amount: if the calculated amount is smaller, the cloud component in the main server is not required to be split and called to calculate the main task, and a calculation result is obtained;
s4: if the calculated amount is large, the main server judges that the main task needs to be split, and the main server splits and distributes the main task into a plurality of subtasks layer by layer according to three configuration rules including budget analysis amount, coordination rules and calculation cases; uploading the split sub-tasks to a task proxy server of the load balancer;
s5: when the task proxy server of the load balancer receives the split sub-tasks, a single queue algorithm is used for distributing the tasks; the single queue algorithm refers to that the split subtasks are put into a queue, all online cloud servers in a background frame actively ask for the subtasks in the queue of a task proxy server of a load balancer, and then the corresponding cloud components are called for parallel calculation;
s6: after the split subtasks are calculated, returning the calculation result to a task proxy server of the load balancer and then returning the calculation result to a main server, wherein the main server is responsible for summarizing the calculation results of all subtasks;
s7: at the moment, the main task formally calculates and finishes, and the main server returns the calculation result which is finally summarized to the task proxy server of the load balancer;
s8: the task proxy server forwards the final summarized calculation result to a data storage proxy server, and the data storage proxy server broadcasts the calculation result to all online cloud servers in a background frame for cloud storage;
s9: and the task proxy server returns the final summarized result to the original client, and the cloud computing process is finished.
The beneficial effects of the invention are as follows: the back-end cloud assembly provided by the invention comprises complete single service function realization, relay protection setting calculation type services are classified, the divided single service functions are subjected to cloud assembly development and stored in a cloud assembly management center in a software package mode, then cloud assemblies are embedded into a primary system in a zero-invasion and low-coupling mode through reference, and different single cloud servers can be customized individually according to requirements of users, server performances and the like, so that the special data are maintained by the special servers, the calculation power is provided by the cloud servers, and the working efficiency is improved.
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FIG. 1 is an assembly process of a cloud assembly;
fig. 2 is a flow chart of the operation of the present invention.
Detailed Description
The invention discloses a relay protection setting calculation method based on back-end cloud assembly, which comprises the following steps: constructing a cloud assembly management center, assembling the cloud assembly, distributing and synchronizing a calculation model, and cooperatively executing setting calculation tasks by the cloud assembly; the cloud component management center is constructed by the following steps: the cloud component management center is deployed in the core cloud server and is responsible for managing all cloud components, and when the cloud component management center receives a cloud component installation request of the cloud server, the cloud component management center is responsible for pushing the requested cloud component software package to the corresponding cloud server.
Cloud components contained in the cloud component management center are as follows: the power grid parameter management cloud component is used for storing and providing data of setting calculation, and the setting calculation system needs to obtain the following parameters: all of the electric networks have parameters of impedance devices, topological relations among the devices and operation modes of electric devices. The cloud server installing the grid parameter management cloud component can maintain the parameters. The assembly would be attached with Neo4j, mysql, mongoDb to store this data as a support.
And the computing model cloud component is used for forming an equivalent computing model for the data of the setting computation, the parameter management cloud component data is a data base of all functions and needs to be frequently accessed, and the frequent access to the database can cause low efficiency of each function and even cause a deadlock problem due to the disk IO bottleneck. Therefore, after the maintenance of the power grid parameters is completed, the power grid parameters are loaded into the memory by a data structure which can be called by a program to form an equivalent calculation model, and a data base is provided for the calculation cloud-like component.
The computing tool cloud assembly comprises computing functions of single fault computing case computing, batch bus equivalence, batch equivalent impedance computing, batch computing whole network short-circuit current computing, zero sequence current curve computing and the like. The user triggers the function of the calculation tool, the component generates a corresponding calculation case and submits the calculation case to the task agent, and the calculation case is distributed to a cloud server assembled with the fault calculation core cloud component by the task agent.
Setting a high-grade application cloud component SetAdvApp, such as line relay protection setting cooperation calculation, transformer protection cooperation calculation, bus cooperation calculation and the like; the component has the capability of generating computing cases related to the service, but does not have the capability of computing, and a large number of generated computing cases need to be distributed to cloud services equipped with a failure computing core cloud component through a task agent for computing.
The device calculates cloud component devicecalcalc and the device calculates related business class components, such as batch calculation device value sheets.
Template algorithm cloud component templateCalc: and configuring a protection device fixed value single template and an algorithm, and customizing a device fixed value calculation principle.
The fault calculation core cloud component is used for calculating the service cases according to a calculation model, and the function of the fault calculation core cloud component is to calculate the basic analysis quantities of current, voltage and the like of each point of a power grid according to the set fault points and fault types. The computing core cloud component has the capability of rapid computing, but does not have the required computing basis, fault points and fault type information are dynamically sent to the computing core cloud component through a load equalizer by means of a computing case, and a computing model according to the fault point and fault type information is provided by the computing model cloud component. The fault computing core cloud component is a supporting component of most business cloud components, the component only receives the receipt computing result of the computing case in a foolproof mode, and when the computing pressure of the whole system becomes large, the number of computing core cloud servers, namely computing force supporting cloud services, can be properly increased, and the pressure is shared. The cloud components are stored in the form of software packages in a cloud component management center.
The cloud assembly is assembled as follows: respectively installing a cloud assembly management center and a load balancer in two cloud servers; the load balancer comprises a task proxy server and a data storage proxy server based on an AMQP protocol; the background frame comprises a main server and a plurality of computing force supporting cloud servers, and the cloud component management center sends a power grid parameter management cloud component, a calculation model cloud component, a calculation tool cloud component, a setting advanced application cloud component, a device calculation cloud component, a template algorithm cloud component and a fault calculation core cloud component to the main server of the background frame and sends the calculation model cloud component and the fault calculation core cloud component to the plurality of computing force supporting cloud servers. In the embodiment shown in fig. 1, for assembling a cluster composed of 10 servers, when the system device needs to install and configure a cloud component management center, a load balancer to the number 2 server and the number 1 server, or to install the main server of the back end frame to the number 3 server, and install the power grid parameter management cloud component, the computing model cloud component, the fault computing core cloud component, the computing tool core cloud component, the setting advanced application cloud component, the device computing cloud component and the template algorithm cloud component to the server through the command reesun install component password, the system has the most basic functions: maintaining power grid parameters, carrying out self-defined fault calculation case calculation, setting cooperation calculation and device fixed value calculation. However, the third server performs the functions, so that the execution efficiency may be low, and the rest 7 servers can execute the installation command reesun install modelSync password; reesun install faultCore password, installing a computing model cloud component and a fault computing core cloud component, and providing computing force support for the No. 3 server.
The calculation model distribution synchronization is as follows: when relay protection setting calculation is carried out, the load balancer sends calculation model data of a main server to all cloud servers in the background frame so as to synchronously update calculation model data of all cloud server calculation model cloud components in the background frame; and when the new online cloud server in the background frame is used, the load balancer sends the calculation model data of the main server to the new online cloud server so as to synchronously update the calculation model data of the calculation model cloud component of the new online cloud server. The execution of the failure computing core cloud component depends on the computing model cloud component, and is generally assembled in different cloud servers, so that the consistency of the computing cores and the computing model data in all cloud servers is ensured. When the cloud-like server is supported by the new online n computing power, the computing model cloud and the computing core cloud are required to be assembled synchronously and accurately in a dynamic and unobserved mode.
As shown in fig. 2, the process of cooperatively executing the tuning calculation task by the cloud component is as follows:
s1: the client sends a main task request related to setting calculation to the load balancer;
s2: the task proxy server of the load balancer sends the main task to a main server in a background frame for processing;
s3: when the main server receives the main task, judging whether the main task needs to be split according to the calculated amount: if the calculated amount is smaller, the cloud component in the main server is not required to be split and called to calculate the main task, and a calculation result is obtained;
s4: if the calculated amount is large, the main server judges that the main task needs to be split, and the main server splits and distributes the main task into a plurality of subtasks layer by layer according to three configuration rules including budget analysis amount, coordination rules and calculation cases; uploading the split sub-tasks to a task proxy server of the load balancer;
s5: when the task proxy server of the load balancer receives the split sub-tasks, a single queue algorithm is used for distributing the tasks; the single queue algorithm refers to that the split subtasks are put into a queue, all online cloud servers in a background frame actively ask for the subtasks in the queue of a task proxy server of a load balancer, and then the corresponding cloud components are called for parallel calculation;
s6: after the split subtasks are calculated, returning the calculation result to a task proxy server of the load balancer and then returning the calculation result to a main server, wherein the main server is responsible for summarizing the calculation results of all subtasks;
s7: at the moment, the main task formally calculates and finishes, and the main server returns the calculation result which is finally summarized to the task proxy server of the load balancer;
s8: the task proxy server forwards the final summarized calculation result to a data storage proxy server, and the data storage proxy server broadcasts the calculation result to all online cloud servers in a background frame for cloud storage;
s9: and the task proxy server returns the final summarized result to the original client, and the cloud computing process is finished.
If necessary, the idle cloud server can continue to split the subtasks, and the obtained subtasks are submitted to the task proxy server, and the task splitting operation and the task distributing operation are repeatedly executed until the task does not need to be split, and parallel computation is performed on the cloud server, so that the splitting of a plurality of subtasks is performed simultaneously without mutual influence.
The foregoing 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 be covered by the protection scope of the present invention by making equivalents and modifications to the technical solution and the inventive concept thereof.
Claims (3)
1. A relay protection setting calculation method based on back-end cloud assembly is characterized by comprising the following steps: constructing a cloud assembly management center, assembling the cloud assembly, distributing and synchronizing a calculation model, and cooperatively executing setting calculation tasks by the cloud assembly; the cloud component management center is constructed by the following steps: the cloud component management center is deployed in the core cloud server and is responsible for managing all cloud components, and when receiving a cloud component installation request of the cloud server, the cloud component management center is responsible for pushing the requested cloud component software package to the corresponding cloud server; cloud components contained in the cloud component management center are as follows: the power grid parameter management cloud component is used for storing and providing setting calculation data; the computing model cloud component is used for forming an equivalent computing model from the setting computing data; the system comprises a computing tool cloud component, a setting advanced application cloud component, a device computing cloud component and a template algorithm cloud component, wherein the four cloud components are used for generating different types of business cases; the fault computing core cloud component is used for computing the service case according to a computing model;
the cloud component cooperatively executes the setting calculation task in the following steps:
s1: the client sends a main task request related to setting calculation to the load balancer;
s2: the task proxy server of the load balancer sends the main task to a main server in a background frame for processing;
s3: when the main server receives the main task, judging whether the main task needs to be split according to the calculated amount: if the calculated amount is smaller, the cloud component in the main server is not required to be split and called to calculate the main task, and a calculation result is obtained;
s4: if the calculated amount is large, the main server judges that the main task needs to be split, and the main server splits and distributes the main task into a plurality of subtasks layer by layer according to three configuration rules including budget analysis amount, coordination rules and calculation cases; uploading the split sub-tasks to a task proxy server of the load balancer;
s5: when the task proxy server of the load balancer receives the split sub-tasks, a single queue algorithm is used for distributing the tasks; the single queue algorithm refers to that the split subtasks are put into a queue, all online cloud servers in a background frame actively ask for the subtasks in the queue of a task proxy server of a load balancer, and then the corresponding cloud components are called for parallel calculation;
s6: after the split subtasks are calculated, returning the calculation result to a task proxy server of the load balancer and then returning the calculation result to a main server, wherein the main server is responsible for summarizing the calculation results of all subtasks;
s7: at the moment, the main task formally calculates and finishes, and the main server returns the calculation result which is finally summarized to the task proxy server of the load balancer;
s8: the task proxy server forwards the final summarized calculation result to a data storage proxy server, and the data storage proxy server broadcasts the calculation result to all online cloud servers in a background frame for cloud storage;
s9: and the task proxy server returns the final summarized result to the original client, and the cloud computing process is finished.
2. The relay protection setting calculation method based on back-end cloud assembly according to claim 1, wherein the cloud assembly is assembled as follows: respectively installing a cloud assembly management center and a load balancer in two cloud servers; the load balancer comprises a task proxy server and a data storage proxy server; the background frame comprises a main server and a plurality of computing force supporting cloud servers, and the cloud component management center sends a power grid parameter management cloud component, a calculation model cloud component, a calculation tool cloud component, a setting advanced application cloud component, a device calculation cloud component, a template algorithm cloud component and a fault calculation core cloud component to the main server of the background frame and sends the calculation model cloud component and the fault calculation core cloud component to the plurality of computing force supporting cloud servers.
3. The relay protection setting calculation method based on back-end cloud assembly according to claims 1 and 2, wherein the calculation model distribution synchronization is: when relay protection setting calculation is carried out, the load balancer sends calculation model data of a main server to all cloud servers in the background frame so as to synchronously update calculation model data of all cloud server calculation model cloud components in the background frame; and when the new online cloud server in the background frame is used, the load balancer sends the calculation model data of the main server to the new online cloud server so as to synchronously update the calculation model data of the calculation model cloud component of the new online cloud server.
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