CN105956792A - Data node and common node based formula parallel computing method - Google Patents

Data node and common node based formula parallel computing method Download PDF

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Publication number
CN105956792A
CN105956792A CN201610353983.6A CN201610353983A CN105956792A CN 105956792 A CN105956792 A CN 105956792A CN 201610353983 A CN201610353983 A CN 201610353983A CN 105956792 A CN105956792 A CN 105956792A
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Prior art keywords
back end
common node
calculating
formula
computing
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CN201610353983.6A
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Inventor
孙名扬
庄卫金
余璟
赵家庆
王艳
于芳
吴海伟
丁宏恩
张永刚
黄龙达
张琦兵
钱科军
柳津
徐攀
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jiangsu Electric Power Co Ltd
Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jiangsu Electric Power Co Ltd
Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Application filed by State Grid Corp of China SGCC, China Electric Power Research Institute Co Ltd CEPRI, State Grid Jiangsu Electric Power Co Ltd, Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201610353983.6A priority Critical patent/CN105956792A/en
Publication of CN105956792A publication Critical patent/CN105956792A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

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Abstract

The invention provides a data node and common node based formula parallel computing method. The method comprises the following steps that (1) a server farm is divided into common nodes and data nodes; (2) a formula computing task is decomposed into regional computing and whole-network computing; (3) the data nodes are responsible for parallel regional computing; (4) the common nodes are responsible for coordination of regional computing as well as whole-network computing; and (5) computing results are synchronized. According to the data node and common node based formula parallel computing method, a traditional serial computing mode is reconstructed by clustering, the formula computing efficiency is improved effectively, the requirement of instantaneity for large-scale formula computing is met, and it is further ensured that a system runs stably and reliably.

Description

A kind of formula parallel calculating method based on back end and common node
Technical field
The invention belongs to dispatching automation of electric power systems field, be specifically related to a kind of based on back end with the public affairs of common node Formula parallel calculating method.
Background technology
In current power grid regulation system, formula calculates and is usually serial computing, this computing and pipe on a station server It is long that reason mechanism causes formula to calculate required time, and the load calculating node is high.Once formula quantity reaches more than thousands of, Serial computing pattern cannot meet the requirement of real-time of power system.Along with following electrical network scale persistently increases, operation characteristic Change is complicated, and existing serial formula computational methods may be missed the calculating cycle, cause formula result of calculation inaccurate, It is difficult to adapt to the demand for development of following electrical network.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the present invention provides a kind of formula based on back end and common node also Row computational methods, the present invention utilizes formula parallel calculating method based on back end and common node, to traditional serial Computation schema has carried out clustered transformation.
In order to realize foregoing invention purpose, the present invention adopts the following technical scheme that:
A kind of formula parallel calculating method based on back end and common node, described method comprises the steps:
(1) segmentation service device group is common node and back end;
(2) it is that region calculates and the whole network calculates that formula calculates Task-decomposing;
(3) described back end is responsible for the region calculating of parallelization;
(4) described common node is responsible for region and is calculated collaborative and the whole network and calculate;
(5) result of calculation synchronizes.
Preferably, in described step (1), traditional active/standby server is expanded to described server zone, is divided in group Common node and back end, described back end configuration multiple servers, status is impartial, has the electrical network of zones of different Model and real time data;Described common node configuration one to two-server, has complete electric network model and real time data.
Preferably, in described step (2), based on described back end and described common node, formula is calculated Task-decomposing Becoming region to calculate and the whole network calculates, formula in region calculates independent to corresponding back end, trans-regional and relate to the whole network The formula calculated is unified incorporates common node into.
Preferably, in described step (3), described back end is responsible for region and is always added calculating, result of calculation and calculating component Calculate being placed on this back end of same node.
Preferably, in described step (4), common node is responsible for the whole network and is always added calculating, and result of calculation and calculating component are across joint Being placed on described common node of point calculates, and in the same calculating cycle, first calculating each region always adds formula, so Rear calculating the whole network always adds.
Preferably, in described step (5), described common node is synchronized to corresponding data result of calculation after having calculated On node, client obtains result of calculation by Distributed Data Visits mode from back end.
Compared with prior art, the beneficial effects of the present invention is:
The present invention takes full advantage of system resource, effective saving manpower maintenance cost and system Construction cost, greatly carries Scheduling Automation System Reliability, treatment effeciency and extensibility, for electrical network development, run and manage generation considerable Benefit, it is provided that strong technical support and guarantee.
The present invention improves the formula under huge electrical network scale and frequent data item interaction scenario and calculates speed, and system upgrade expands It is more convenient to open up.
Accompanying drawing explanation
Fig. 1 is the system structure of a kind of based on back end and common node the formula parallel calculating method that the present invention provides Figure
Fig. 2 is the configuration back end and the structure chart of common node that the present invention provides
Detailed description of the invention
Below in conjunction with the accompanying drawings the present invention is described in further detail.
The system construction drawing of a kind of based on back end and common node the formula parallel calculating method that the present invention provides, as Shown in Fig. 1, the method comprises the steps:
Step 1, segmentation service device group are common node and back end;
Traditional active/standby server is expanded to described server zone, in group, is divided into common node and back end, described Back end configuration multiple servers, status is impartial, has electric network model and the real time data of zones of different;Described public Node configuration one to two-server, has complete electric network model and real time data.As a example by state is in harmonious proportion three China's systems, As in figure 2 it is shown, four back end of configuration Xia Zhuan state tune, East China, North China and the model in Central China respectively, based on data section The passage that the model profile of point sends data to front server divides, with back end one_to_one corresponding, back end Receive and be pertaining only to the advance data of oneself model scope and carry out data process;Configure a public server, under install whole Model, receives all advance data and carries out data process, therefore having full model and total evidence.
Step 2, formula is calculated Task-decomposing be region calculate and the whole network calculate;
With described common node, formula being calculated Task-decomposing based on described back end becomes region to calculate and the whole network calculating, district Formula calculating in territory is independent to corresponding back end, and formula that is trans-regional and that relate to the whole network calculating is unified incorporates public joint into Point.As a example by state is in harmonious proportion three China's systems, state's straightening adjusts the correlation formulas such as total meritorious, the most idle, gross capability of plant stand corresponding Calculating on the back end that state adjusts, the correlation formulas pair such as total meritorious, the most idle, gross capability of plant stand are administered in North China Should calculate on the back end in North China, the correlation formula correspondence such as total the most meritorious, the most idle of the whole network is on common node Calculate.
Step 3, described back end are responsible for the region of parallelization and are calculated;
Described back end is responsible for region and is always added calculating, result of calculation with calculate component and be placed on this data section at same node Calculate on Dian.As a example by state is in harmonious proportion three China's systems, state's tune, East China, North China and four, Central China back end enter simultaneously The calculating of the correlation formulas such as total meritorious, the most idle, gross capability of row each administration plant stand.
Step 4, described common node are responsible for region and are calculated collaborative and the whole network calculating;
Common node is responsible for the whole network and is always added calculating, result of calculation with calculate component cross-node to be placed on described common node enterprising Row calculates, and in the same calculating cycle, first calculates each region and always adds formula, then calculate the whole network and always add.
Step 5, result of calculation synchronize.
Described common node is synchronized to result of calculation on corresponding back end after having calculated, and client is by distributed Data access mode obtains result of calculation from back end.
Finally should be noted that: above example only in order to illustrate that technical scheme is not intended to limit, although Being described in detail the present invention with reference to above-described embodiment, those of ordinary skill in the field are it is understood that still The detailed description of the invention of the present invention can be modified or equivalent, and appointing without departing from spirit and scope of the invention What amendment or equivalent, it all should be contained in the middle of scope of the presently claimed invention.

Claims (6)

1. a formula parallel calculating method based on back end and common node, it is characterised in that described method includes as follows Step:
(1) segmentation service device group is common node and back end;
(2) it is that region calculates and the whole network calculates that formula calculates Task-decomposing;
(3) described back end is responsible for the region calculating of parallelization;
(4) described common node is responsible for region and is calculated collaborative and the whole network and calculate;
(5) result of calculation synchronizes.
The most according to claim 1, method, it is characterised in that in described step (1), expand traditional active/standby server Exhibition is described server zone, is divided into common node and back end in group, and described back end configures multiple servers, Status is impartial, has electric network model and the real time data of zones of different;Described common node configuration one to two-server, There is complete electric network model and real time data.
The most according to claim 1, method, it is characterised in that in described step (2), based on described back end and institute Stating common node becomes region to calculate and the whole network calculating formula calculating Task-decomposing, and the formula in region calculates independently to the most right The back end answered, formula that is trans-regional and that relate to the whole network calculating is unified incorporates common node into.
Method the most according to claim 1, it is characterised in that in described step (3), described back end is responsible for region Always adding calculating, result of calculation calculates being placed on this back end of same node with calculating component.
Method the most according to claim 1, it is characterised in that in described step (4), common node is responsible for the whole network and is always added Calculating, result of calculation calculates with calculating being placed on described common node of component cross-node, the same calculating cycle In, first calculate each region and always add formula, then calculate the whole network and always add.
Method the most according to claim 1, it is characterised in that in described step (5), described common node has calculated Afterwards result of calculation is synchronized on corresponding back end, client by Distributed Data Visits mode from back end Upper acquisition result of calculation.
CN201610353983.6A 2016-05-25 2016-05-25 Data node and common node based formula parallel computing method Pending CN105956792A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101256516A (en) * 2007-02-28 2008-09-03 Sap股份公司 Distribution of data and task instances in grid environments
CN101685480A (en) * 2008-09-27 2010-03-31 国家电力调度通信中心 Parallel computing method for security and stability analysis of large power grid and computing platform
CN103607466A (en) * 2013-11-27 2014-02-26 国家电网公司 Wide-area multi-stage distributed parallel grid analysis method based on cloud computing
CN104463465A (en) * 2014-12-05 2015-03-25 国家电网公司 Real-time monitoring cluster processing method based on distributed models

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101256516A (en) * 2007-02-28 2008-09-03 Sap股份公司 Distribution of data and task instances in grid environments
CN101685480A (en) * 2008-09-27 2010-03-31 国家电力调度通信中心 Parallel computing method for security and stability analysis of large power grid and computing platform
CN103607466A (en) * 2013-11-27 2014-02-26 国家电网公司 Wide-area multi-stage distributed parallel grid analysis method based on cloud computing
CN104463465A (en) * 2014-12-05 2015-03-25 国家电网公司 Real-time monitoring cluster processing method based on distributed models

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Application publication date: 20160921