CN107423890B - Rapid distributed processing method for power grid regulation and control system and power distribution automation system - Google Patents
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Abstract
The invention discloses a rapid distributed processing method of a power grid regulation and control system and a power distribution automation system, which comprises the steps of registering nodes participating in the distributed processing of services, marking each node participating in the distributed processing of the services, and monitoring the resource state of the nodes; according to the service characteristics, the service model/data is decomposed into a plurality of model/data fragments, and the model/data fragments are distributed to the nodes according to the idle state of the node resources; and decomposing the tasks needing to be processed by the service into subtasks corresponding to the model/data fragments, scheduling the subtasks to corresponding nodes, distributing processing results on the nodes participating in the processing, and accessing the results through data access middleware. The invention solves the problem that the original main and standby machine processing mechanism is more and more difficult to meet the data processing capacity and the service capacity of the power transmission network and distribution network, and effectively improves the processing capacity, the service capacity and the expandability of the system through model/data fragmentation and task allocation.
Description
Technical Field
The invention relates to a power grid regulation and control system and a power distribution automation system rapid distributed processing method, and belongs to the field of power dispatching automation systems and power distribution automation systems.
Background
The construction of a large-scale ultrahigh-voltage alternating-current and direct-current hybrid power grid in China greatly improves the capability of large-scale resource optimization configuration, but multiple cross-region alternating-current and direct-current ultrahigh-voltage lines closely connect the original regional power grids which are not electrically connected to form a large power grid, the pattern of independent operation of each region is broken, on one hand, the faults of one region are easy to chain to cause the faults of multiple regions, on the other hand, the western clean energy is difficult to consume on site, and the western clean energy is required to be remotely transmitted to the load center in the middle east, so that the national, sub and provincial regulation and control systems are required to master the global information of the power grid to.
With the promotion of intelligent power distribution network construction, new energy such as distributed power generation and the like is widely accessed, open-loop operation is changed into closed-loop operation, the distribution network structure is more complex, the operation mode is flexible and changeable, and the fault handling logic is obviously changed. With the gradual increase of the distribution automation coverage, the terminal types, the terminal quantity and the measuring point quantity of the distribution network are increased rapidly. Meanwhile, the comprehensive implementation of the 'big operation' with 'intensification, flattening and specialization' as a main line is realized. The pattern of the distribution network automation system originally independently established in the local and county gradually changes to the pattern of the integrated distribution network in the local and county. These all bring about several times or even tens of times increase in the data processing scale and service range of the distribution automation system.
In a large city regulation and control center in the southern power grid part, a dispatching integrated system combining a power grid regulation and control system and a power distribution network automation system appears, so that joint dispatching, analysis and decision-making of a power transmission network and a power distribution network are realized. The integrated system construction mode of the integrated county and place and allocation has the advantages that the data processing scale and the complexity of analysis and calculation are increased by several times to dozens of times compared with the independent construction mode of a regulation system and a power distribution automation system.
The original data acquisition, monitoring, analysis and decision-making mechanisms of the regulation and control system and the distribution automation system, in which all service main and standby machines are required to complete all data processing, have become increasingly difficult to adapt to the requirements of the global power grid regulation and control, the intelligent distribution automation system and the emerging distribution integration system in the aspects of processing capacity, service capacity, expandability and the like.
Disclosure of Invention
In order to solve the technical problems, the invention provides a rapid distributed processing method for a power grid regulation and control system and a power distribution automation system, which is used for improving the processing capacity and expandability of data acquisition, monitoring, analysis, decision and other services of the power grid regulation and control system and the power distribution automation system.
In order to achieve the purpose, the invention adopts the technical scheme that:
the rapid distributed processing method of the power grid regulation and control system and the power distribution automation system comprises the following steps:
registering nodes participating in the distributed processing of the services, marking each node participating in the distributed processing of the services, and monitoring the resource state of the nodes;
according to the service characteristics, the service model/data is decomposed into a plurality of model/data fragments, and the model/data fragments are distributed to the nodes according to the idle state of the node resources;
decomposing tasks needing to be processed by the service into subtasks corresponding to the model/data fragments, scheduling the subtasks to corresponding nodes, distributing processing results on the nodes participating in the processing, and accessing the results through data access middleware;
when the service is a streaming service, the nodes participating in the distributed processing of the service sequentially process the tasks according to the sequence of the tasks required to be processed by the streaming service;
when the service is the service needing iterative computation, one node participating in service distributed processing is selected as a coordination node, after each round of computation is completed, the node processing the subtasks sends boundary data of computation results to the coordination node, the coordination node judges whether the computation meets a convergence condition or not according to the boundary data, if yes, a computation stop command is sent to the node processing the subtasks, if not, the node processing the subtasks is sent to the node processing the subtasks after the boundary data is subjected to fitting processing, and each node processing the subtasks continues computation based on new boundary data.
The nodes are logic nodes, the nodes participating in the distributed processing of the services are registered in not less than two resource scheduling nodes which are redundant with each other, and the registration information comprises the names of the nodes and the nodes participating in the distributed processing of the services.
And the resource monitoring agent is deployed on the registered node, the resource monitoring node periodically calls the resource monitoring agent of each node to acquire the resource condition, and before the resource scheduling node allocates the resource, the resource monitoring node calls the resource monitoring agent of each node once to acquire the latest resource condition of each node and reports the latest resource condition to the resource scheduling node.
The business model/data is decomposed into a number of uncoupled or weakly coupled model/data fragments.
Each model/data slice is distributed to at least two nodes and is redundant to each other.
The data acquisition and monitoring service is taken as a representative in the streaming service, for the data acquisition service, a communication channel of a station is arbitrarily divided to nodes participating in the distributed processing of the data acquisition service, a data acquisition service model/data is fragmented and distributed to the nodes participating in the distributed processing of the data acquisition service, after data acquisition and protocol translation are completed, processed mature data is sent to different nodes participating in the distributed processing of the monitoring service according to the monitoring service model/data fragmentation, and after the nodes participating in the distributed processing of the monitoring service receive the mature data, the latest data of remote measurement, remote signaling and remote pulse are refreshed.
The data acquisition service and the monitoring service are completely decoupled, and the nodes participating in the distributed processing of the data acquisition service and the nodes participating in the distributed processing of the monitoring service do not have one-to-one correspondence.
And the refreshed latest data are stored on the nodes participating in the distributed processing of the monitoring service.
The service needing iterative computation is represented by analysis decision application, the coordination node is responsible for aggregating and issuing boundary data of computation results, coordinating synchronization of computation processes of all subtasks, judging whether the iterative results meet convergence conditions or not, and issuing computation stopping commands when the convergence conditions are met.
And storing the data result which is finished by the distributed processing of the iterative computation service on the originally processed node.
The invention achieves the following beneficial effects: the invention solves the problem that the original main and standby machine processing mechanism is more and more difficult to meet the data processing capacity and the service capacity of the power distribution network of the power transmission network, and effectively improves the processing capacity, the service capacity and the expandability of the system through the model/data fragmentation and the task allocation.
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Fig. 1 is a schematic diagram of a fast distributed processing method architecture of a power grid regulation and control system and a power distribution automation system;
FIG. 2 is a schematic diagram of a multi-node coordination process for analysis and decision services.
Detailed Description
The invention 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 invention is not limited thereby.
As shown in fig. 1, the fast distributed processing method for the power grid regulation and control system and the power distribution automation system includes the following steps:
1) in a power grid regulation and control system or a distribution network automation system, nodes participating in distributed processing of services are registered in at least two resource scheduling nodes which are redundant with each other, and all the nodes are marked to participate in the distributed processing of the services.
Here, the nodes are logical nodes, nodes with different purposes may be on one physical computer, for example, the resource scheduling node and the resource monitoring node in fig. 1 may be on the same physical computer, different logical nodes of a distributed service may be on different physical computers, a node may participate in distributed processing of multiple services, distributed processing of a service may be on multiple nodes, and the registration information of the node includes the name of the node and the participation of the node in distributed processing of those services.
2) And the resource monitoring agent is deployed on the registered node, the resource monitoring node periodically calls the resource monitoring agent of each node to acquire the resource condition, and before the resource scheduling node allocates the resource, the resource monitoring node calls the resource monitoring agent of each node once to acquire the latest resource condition of each node and reports the latest resource condition to the resource scheduling node.
3) According to the service characteristics, the service model/data is decomposed into a plurality of non-coupling or weak-coupling model/data fragments.
The data acquisition and monitoring services are generally segmented according to the power grid jurisdiction or the communication network structure, and the distributed services such as state estimation, safety analysis and the like are generally segmented according to the network structure of the power grid, so that decoupling can be better realized, and the exchange data is minimum during iteration of analysis and calculation.
4) And the resource scheduling node distributes the model/data fragments to the nodes according to the spare resource condition of the nodes, and each model/data fragment is distributed to at least two nodes and is redundant with each other.
5) And decomposing the tasks needing to be processed by the service into subtasks corresponding to the model/data fragments, scheduling the subtasks to corresponding nodes, distributing processing results on the nodes participating in the processing, and accessing the results through data access middleware.
When services are generally classified into two types, one type is streaming services, and the other type is services requiring iterative computation.
When the service is a streaming service, the nodes participating in the distributed processing of the service sequentially process the tasks according to the sequence of the tasks required to be processed by the streaming service.
The streaming service is represented by data acquisition and monitoring service; for data acquisition services, communication channels of stations are arbitrarily divided to nodes participating in distributed processing of the data acquisition services, data acquisition service models/data are fragmented and distributed to the nodes participating in distributed processing of the data acquisition services, after data acquisition and protocol translation are completed, processed mature data are sent to different nodes participating in distributed processing of the monitoring services according to monitoring service models/data fragmentation, after the nodes participating in distributed processing of the monitoring services receive the mature data, the latest data of remote measurement, remote signaling and remote pulse are refreshed, and the latest data are stored in the nodes participating in distributed processing of the monitoring services without finding special nodes for summarizing. In fig. 1, three nodes participating in distributed processing of the data acquisition service process four pairs of redundant data fragments, which correspond to four nodes participating in distributed processing of the monitoring service.
The business needing iterative computation is represented by analysis decision application, when the business is the business needing iterative computation, as shown in fig. 2, a node participating in the distributed processing of the service is selected as a coordinating node, the coordinating node coordinates the collection and distribution of the subtask nodes and the synchronization of the calculation processes of each subtask, after each calculation is completed by the node processing the subtask, sending the boundary data of the calculation result to the coordination node, judging whether the calculation meets the convergence condition or not by the coordination node according to the boundary data, if the boundary data are not satisfied, sending a calculation stop command to the nodes for processing the subtasks, if the boundary data are not satisfied, fitting the boundary data and then sending the boundary data to the nodes for processing the subtasks, wherein the nodes for processing the subtasks continue to calculate based on the new boundary data, and the data result which is finished by the distributed processing of the iterative computation service is stored on the original processed nodes.
The method solves the problem that the original main and standby machine processing mechanism is more and more difficult to meet the data processing capacity and the service capacity of the power transmission network and distribution network, and effectively improves the processing capacity, the service capacity and the expandability of the system through the model/data fragmentation and the task allocation.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (9)
1. The fast distributed processing method of the power grid regulation and control system and the power distribution automation system is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
registering nodes participating in the distributed processing of the services, marking each node participating in the distributed processing of the services, and monitoring the resource state of the nodes;
according to the service characteristics, the service model/data is decomposed into a plurality of model/data fragments, and the model/data fragments are distributed to the nodes according to the idle state of the node resources;
decomposing tasks needing to be processed by the service into subtasks corresponding to the model/data fragments, scheduling the subtasks to corresponding nodes, distributing processing results on the nodes participating in the processing, and accessing the results through data access middleware;
when the service is a streaming service, the nodes participating in the distributed processing of the service sequentially process the tasks according to the sequence of the tasks required to be processed by the streaming service; the data acquisition and monitoring service is taken as a representative in the streaming service, for the data acquisition service, a communication channel of a station is arbitrarily divided to nodes participating in the distributed processing of the data acquisition service, a data acquisition service model/data is fragmented and distributed to the nodes participating in the distributed processing of the data acquisition service, after data acquisition and protocol translation are completed, processed mature data is sent to different nodes participating in the distributed processing of the monitoring service according to the monitoring service model/data fragmentation, and after the nodes participating in the distributed processing of the monitoring service receive the mature data, the latest data of remote measurement, remote signaling and remote pulse are refreshed;
when the service is the service needing iterative computation, one node participating in service distributed processing is selected as a coordination node, after each round of computation is completed, the node processing the subtasks sends boundary data of computation results to the coordination node, the coordination node judges whether the computation meets a convergence condition or not according to the boundary data, if yes, a computation stop command is sent to the node processing the subtasks, if not, the node processing the subtasks is sent to the node processing the subtasks after the boundary data is subjected to fitting processing, and each node processing the subtasks continues computation based on new boundary data.
2. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 1, characterized in that: the nodes are logic nodes, the nodes participating in the distributed processing of the services are registered in not less than two resource scheduling nodes which are redundant with each other, and the registration information comprises the names of the nodes and the nodes participating in the distributed processing of the services.
3. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 2, characterized in that: and the resource monitoring agent is deployed on the registered node, the resource monitoring node periodically calls the resource monitoring agent of each node to acquire the resource condition, and before the resource scheduling node allocates the resource, the resource monitoring node calls the resource monitoring agent of each node once to acquire the latest resource condition of each node and reports the latest resource condition to the resource scheduling node.
4. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 1, characterized in that: the business model/data is decomposed into a number of uncoupled or weakly coupled model/data fragments.
5. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 1, characterized in that: each model/data slice is distributed to at least two nodes and is redundant to each other.
6. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 1, characterized in that: the data acquisition service and the monitoring service are completely decoupled, and the nodes participating in the distributed processing of the data acquisition service and the nodes participating in the distributed processing of the monitoring service do not have one-to-one correspondence.
7. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 1, characterized in that: and the refreshed latest data are stored on the nodes participating in the distributed processing of the monitoring service.
8. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 1, characterized in that: the service needing iterative computation is represented by analysis decision application, the coordination node is responsible for aggregating and issuing boundary data of computation results, coordinating synchronization of computation processes of all subtasks, judging whether the iterative results meet convergence conditions or not, and issuing computation stopping commands when the convergence conditions are met.
9. The power grid regulation and control system and power distribution automation system rapid distributed processing method as claimed in claim 1, characterized in that: and storing the data result which is finished by the distributed processing of the iterative computation service on the originally processed node.
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