CN106600141A - Method for independently managing different hydropower generation models, scheduling and computing benefit parameters - Google Patents
Method for independently managing different hydropower generation models, scheduling and computing benefit parameters Download PDFInfo
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- CN106600141A CN106600141A CN201611137775.9A CN201611137775A CN106600141A CN 106600141 A CN106600141 A CN 106600141A CN 201611137775 A CN201611137775 A CN 201611137775A CN 106600141 A CN106600141 A CN 106600141A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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 relates to a method for independently managing different hydropower generation models, scheduling and computing benefit parameters by constructing a power generation benefit model management platform on a hydropower station automation detection device. The method includes the following steps: firstly the platform initializing data of a power station power generation model, setting initialization numerical values for power station model parameters, then acquiring model parameters which are divided into: monitoring data, power station fixed parameters, unit fixed parameters, and other model parameters, then generating parameter generation rules based on model parameters, generating entrance parameters required by each model, and finally based on the entrance parameters and scheduling rules, automatically and manually scheduling the models. In this way, prediction power generation benefit data is generated so as to increase the power generation benefits of the power station.
Description
Technical field
The present invention relates to water power is information-based and management automation application, more particularly to one kind can manage difference independently
Water power generation model dispatches the method calculated with efficiency parameter.
Background technology
Used as the main source of electric energy in people's daily life, it is responsible for that water energy is converted to the electricity needed for us in power station
Energy.With the lifting and the raising of living standards of the people of Chinese national economy, society is for the demand more and more higher of electric power.But
It is that at present most of power station generally existing automatization levels in all parts of the country are low, and generating efficiency is not high, power station infrastructure
It is outmoded, situations such as staff's technical quality is not strong.For these situations, water conservancy industry practitioner develops a series of generating moulds
Type carries out the optimization of hydropower station benefit, but is the absence of unified management platform.Therefore, one kind effectively improves power station generating effect
Benefit, can manage different water power generation model management and running platforms independently and just be particularly important.
Currently, power station in all parts of the country, particularly medium waterpower generator station are located at remote mountain area mostly, away from cities and towns, base
Infrastructure falls behind, and worker lives in for a long time poor environment, needs to carry out numerous and diverse inspection work on duty, and these problems are all water
The not high major reason of power station power benefit.Important component part of the power station as State Grid, it is necessary to have management is automatic
The features such as change, management platform, maximizing generation profit, but due to lacking a set of perfect power benefit model automatization pipe
Platform, the power benefit in each power station still slowly cannot be improved, and the economic benefit in power station is not also maximized.
In order to solve the problems, such as hydropower station inefficiencies, based on automatic monitoring equipment, a set of power station can be developed and sent out
Electric Benefit Model management platform, the platform realizes managing independently for different hydropower station Benefit Models, by each water power row
Industry expert's upload configuration generation model, arranges model desired parameters, and according to scheduling rule, automatization carries out the scheduling of model, produces
Raw prediction power benefit index, helps power station staff modification each unit operation parameter of power station, to reach power benefit
Maximize.
The content of the invention
In view of this, it is an object of the invention to provide one kind can manage different water power generation model scheduling and benefit ginseng independently
The method that number is calculated, reaches the maximization of power benefit.
The present invention is realized using below scheme：One kind can manage different water power generation model scheduling and efficiency parameter meter independently
The method of calculation, comprises the following steps：
Step S1：Definition Model dispatch service framework：A power benefit realization of model management platform is built, each water power generating mould is defined
The scheduling flow of type, comprising model parameter acquisition methods, suction parameter generation method, module scheduling method；
Step S2：Initialization pattern data：One key of each water power generation model parameter is initialized, enters the concrete number of line parameter
Value configuration；
Step S3：Obtain model parameter：Obtain the monitoring of equipment data in each power station, the preset parameter in power station, unit solid
Determine parameter and model desired parameters；
Step S4：Generate suction parameter：The suction parameter of each water power generation model is produced based on the parameter obtained in step S3；
Step S5：Module scheduling：Water power generation model carries out Automatic dispatching and manual dispatching according to suction parameter, scheduling rule,
Generation model benefit data.
Further, the power benefit realization of model management platform is connected with Automation of Hydropower Station testing equipment, to get parms.
Further, in step S3, the monitoring of equipment data in each power station include guide vane opening, active electricity
Monitoring, idle electric quantity monitoring, upper pond level, the level of tail water.
Further, in step S3, power station preset parameter includes power station peak-trough electricity time, machine unit characteristic class of a curve
Type, peak level, lowest water level, pump efficiency height and power factor.
Further, in step S3, the unit preset parameter includes unit model, generator efficiency, stator most
Big relative opening degree, maximal efficiency, turbine efficiency height, runner diameter, rotating speed and nominal output.
Further, in step S3, model desired parameters include hydraulic turbine performance curve storehouse, manual predicted flow rate with
And model implementing result parameter.
Further, in step S5, model effciency data include following forecast level, prediction guide vane opening and
The capacity of idle power of suggestion.
Compared with prior art, the invention has the advantages that：Power benefit realization of model management platform have automatization,
Specialized feature, with very strong platform autgmentability with compatibility, the generation model uploaded by water conservancy industry expert, for
Each power station is custom-configured, and meets the individual needs of different small power stations.Each power station can upload multiple models, match somebody with somebody
Put each model loading sequence and whether enable, the scheduling relation between each model can be set.Set up model parameter storehouse, mould
Type flexibly chooses the data each wanted, and according to scheduling rule, realizes the Automatic dispatching and manual dispatching of power benefit model.
Description of the drawings
Fig. 1 is the operating process schematic diagram of the method for the present invention.
Fig. 2 is the data flow diagram of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings and embodiment is specifically further described to the present invention.
The present embodiment provides a kind of method for managing different water power generation model scheduling and efficiency parameter calculating independently, bag
Include following steps：
Step S1：Definition Model dispatch service framework：A power benefit realization of model management platform is built, each water power generating mould is defined
The scheduling flow of type, comprising model parameter acquisition methods, suction parameter generation method, module scheduling method；
Step S2：Initialization pattern data：One key of each water power generation model parameter is initialized, the tool of parameter is convenient for
Body numerical value is configured；
Step S3：Obtain model parameter：Obtain the monitoring of equipment data in each power station, the preset parameter in power station, unit solid
Determine parameter and model desired parameters；
Step S4：Generate suction parameter：The suction parameter of each water power generation model is produced based on the parameter obtained in step S3；
Step S5：Module scheduling：Water power generation model carries out Automatic dispatching and manual dispatching according to suction parameter, scheduling rule,
Generation model benefit data.
In the present embodiment, the power benefit realization of model management platform is connected with Automation of Hydropower Station testing equipment, to obtain
Parameter.First the platform carries out power station generation model data initialization, and to power station model parameter initialization values are arranged.Then enter
Row model parameter obtain, be divided into for：Monitoring Data, power station preset parameter, unit preset parameter, other model parameters.Base afterwards
In model parameter, by parameter create-rule, the suction parameter needed for each model is produced.Finally, according to suction parameter, scheduling
Rule, carries out the Automatic dispatching and manual dispatching of model.Thus, producing prediction power benefit data, power station is improved with this
Power benefit.The operational flowchart of the method is as shown in figure 1, data flowchart is as shown in Figure 2.
In the present embodiment, in step S3, the monitoring of equipment data in each power station include guide vane opening, active
Electric quantity monitoring, idle electric quantity monitoring, upper pond level, level of tail water etc., data are collected from hardware device.Power station is fixed
Parameter includes power station peak-trough electricity time, machine unit characteristic curve type, peak level, lowest water level, pump efficiency height and work(
Rate factor etc..The unit preset parameter includes unit model, generator efficiency, stator maximum relative opening degree, maximal efficiency, water
Turbine efficiency height, runner diameter, rotating speed and nominal output etc..Model desired parameters include hydraulic turbine performance curve storehouse, handss
Dynamic predicted flow rate and model implementing result parameter etc., the data concrete model concrete analysis, can be carried out self-defined.
In the present embodiment, in step S4, when generating suction parameter, realization of model management platform defined parameters generate rule
Then, Various types of data is converted to into the suction parameter needed for model, is related to the configuration of condition and the conversion of data form, maximum is limited
Enter the flexible configuration of line parameter, without the need for platform development personnel intervention, the person that only needs model development completes by selecting.
In the present embodiment, in step S5, model effciency data include following forecast level, prediction guide vane opening
And the capacity of idle power of suggestion, help power station to improve power benefit with this.
At present each medium waterpower generator station automatization level of the whole nation is low, and infrastructure are outmoded, the artificial trivial operations of worker,
Cause power station power benefit not high.In order to solve the problems, such as hydropower station inefficiencies, sent out using the power station in the present embodiment
Electric Benefit Model management platform, the platform realizes managing independently for different hydropower station Benefit Models, by each water power row
Industry expert's upload configuration generation model, arranges model desired parameters, and according to scheduling rule, automatization carries out the scheduling of model, produces
Raw prediction power benefit index, helps power station staff modification each unit operation parameter of power station, to reach power benefit
Maximize.
The foregoing is only presently preferred embodiments of the present invention, all impartial changes done according to scope of the present invention patent with
Modification, should all belong to the covering scope of the present invention.
Claims (7)
- It is 1. a kind of to manage the method that different water power generation model scheduling are calculated with efficiency parameter independently, it is characterised in that：Including Following steps：Step S1：Definition Model dispatch service framework：A power benefit realization of model management platform is built, each water power generating mould is defined The scheduling flow of type, comprising model parameter acquisition methods, suction parameter generation method, module scheduling method；Step S2：Initialization pattern data：One key of each water power generation model parameter is initialized, enters the concrete number of line parameter Value configuration；Step S3：Obtain model parameter：Obtain the monitoring of equipment data in each power station, the preset parameter in power station, unit solid Determine parameter and model desired parameters；Step S4：Generate suction parameter：The suction parameter of each water power generation model is produced based on the parameter obtained in step S3；Step S5：Module scheduling：Water power generation model carries out Automatic dispatching and manual dispatching according to suction parameter, scheduling rule, Generation model benefit data.
- 2. it is according to claim 1 a kind of to manage the side that the scheduling of different water power generation models is calculated with efficiency parameter independently Method, it is characterised in that：The power benefit realization of model management platform is connected with Automation of Hydropower Station testing equipment, to obtain ginseng Number.
- 3. it is according to claim 1 a kind of to manage the side that the scheduling of different water power generation models is calculated with efficiency parameter independently Method, it is characterised in that：In step S3, the monitoring of equipment data in each power station include guide vane opening, active electricity prison Survey, idle electric quantity monitoring, upper pond level, the level of tail water.
- 4. it is according to claim 1 a kind of to manage the side that the scheduling of different water power generation models is calculated with efficiency parameter independently Method, it is characterised in that：In step S3, power station preset parameter include the power station peak-trough electricity time, machine unit characteristic curve type, Peak level, lowest water level, pump efficiency height and power factor.
- 5. it is according to claim 1 a kind of to manage the side that the scheduling of different water power generation models is calculated with efficiency parameter independently Method, it is characterised in that：In step S3, the unit preset parameter includes unit model, generator efficiency, stator maximum phase To aperture, maximal efficiency, turbine efficiency height, runner diameter, rotating speed and nominal output.
- 6. it is according to claim 1 a kind of to manage the side that the scheduling of different water power generation models is calculated with efficiency parameter independently Method, it is characterised in that：In step S3, model desired parameters include hydraulic turbine performance curve storehouse, manual predicted flow rate and Model implementing result parameter.
- 7. it is according to claim 1 a kind of to manage the side that the scheduling of different water power generation models is calculated with efficiency parameter independently Method, it is characterised in that：In step S5, model effciency data include following forecast level, prediction guide vane opening and build The capacity of idle power of view.
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