CN104102211A - Scheduling method, server and system of combined heat and power generation system of fire coal thermal power plant - Google Patents

Abstract

The application provides a scheduling method, a scheduling server and a scheduling system of a combined heat and power generation system of a fire coal thermal power plant. The scheduling method of the combined heat and power generation system of the fire coal thermal power plant is deployed on the scheduling application server in the scheduling system of the combined heat and power generation system of the fire coal thermal power plant, and includes: obtaining initial data needed by building working condition models of all devices in the combined heat and power generation system from a synthetic data integration platform, and building the working condition models of all the devices in the combined heat and power generation system according to the initial data; judging whether preset scheduling conditions are met or not, and if yes, confirming a scheduling policy of the combined heat and power generation system of the fire coal thermal power plant under a current load according to real-time power and heat load data output by the working condition models, and controllable variables and auxiliary variables, which influence outputting of the working condition models. According to the scheduling method, the scheduling server and the scheduling system of the combined heat and power generation system of the fire coal thermal power plant, scheduling problems are considered by integrating blending coal, a boiler, a turbine generator and a temperature and pressure reducer together, and a scheduling scheme can be globally optimized.

Description

A kind of dispatching method, server and system of Hazards in Power Plant co-generation unit

Technical field

The application relates to areas of information technology, particularly a kind of dispatching method of Hazards in Power Plant co-generation unit, server and system.

Background technology

Along with scientific and technological development, electricity in people life in occupation of particularly important position.General generating plant only produces electric energy to customer power supply, and commercial production and life are supplied separately by other Industrial Boiler and heating boiler by heat (steam), and this mode of production is called thermoelectricity and divides product.In cogeneration plant, adopt heat-supply type unit, except supply electric energy, also utilize extracted steam from turbine or the steam discharge of making merit (generating electricity) to meet the institute's heat requirement of producing and live simultaneously, this mode of production is called cogeneration of heat and power.

As shown in Figure 1, this co-generation unit can comprise the structural drawing of typical Hazards in Power Plant co-generation unit: several parts such as coal yard, coal-burning boiler, turbodynamo, temperature-decreased pressure reducer.Wherein, coal yard is delivered to raw coal each boiler after proportioning, and heat heating boiler feedwater when boiler utilizes fired coal combustion, makes water be heated as the superheated vapor of High Temperature High Pressure.Superheated vapor enters the rotation of turbodynamo drive motor again and generates electricity for to electrical network, from turbodynamo, steam (temperature and pressure the reduces) extraction of partly doing merit is supplied to steam pipe system simultaneously.Because downstream user is for the requirement difference of steam grade, turbodynamo may have the outer confession of several grades to draw gas.In the time that turbodynamo draws gas deficiency, temperature-decreased pressure reducer directly attracts steam from upper level steam main, makes steam after desuperheat, decompression, become the steam that temperature and pressure is lower and supplies to next stage steam pipe system.

As can be seen from Figure 1, co-generation unit is in when operation, exists the load of an electricity and heat (steam) how to distribute and the how problem of proportioning of raw coal.For turbodynamo, meeting under the total workload demand of electrical network and steam pipe system, electric load (being generated energy) and the thermal load (i.e. the amount of drawing gas) of each turbodynamo can have multiple combination, and total throttle flow of the turbodynamo of every kind of combination may be different.And for temperature-decreased pressure reducer, energy has very large loss after high temperature and high pressure steam enters temperature-decreased pressure reducer, general only draw gas and just open temperature-decreased pressure reducer cannot satisfy the demands in the situation that at turbodynamo.If unlatching temperature-decreased pressure reducer, the thermal load (outlet quantity of steam) of temperature-decreased pressure reducer can have multiple combination, and total throttle flow of the temperature-decreased pressure reducer of every kind of combination also may be different.And for boiler, in the situation that meeting downstream turbodynamo and temperature-decreased pressure reducer vapour aggregate demand, the steam production of each boiler also has multiple combination, every kind of also possibility difference of coal-fired total amount that combination consumes.And for coal yard, if the raw coal price of each coal yard, ature of coal difference, meeting steam coal may have multiple Coal Blending Schemes, under different schemes may be again different with coal cost.

Visible, co-generation unit is coal yard, boiler, turbodynamo, temperature-decreased pressure reducer and the downstream user complication system that is mutually related.In order to meet the requirement of customer charge, dispatcher need to dispatch the links of producing: how coal yard needs proportioning raw coal, carries how many coal-fired to boiler; Every boiler should produce how much steam; Every turbodynamo should send out electricity how many, extracts how much steam out; Whether temperature-decreased pressure reducer needs to open, if opened, need to open which platform, and how etc., this has just formed a scheduling scheme to flow.And meeting under downstream user electricity, heat (steam) burden requirement, may exist multiple scheduling scheme selective, but which kind of scheme to save the energy be the problem that needs dispatcher to consider.

Inventor finds that prior art exists following problem: dispatcher is in selection scheduling scheme, the coal blending in co-generation unit, boiler, turbodynamo and temperature-decreased pressure reducer are not combined to consideration scheduling problem, often only carry out scheduling scheme research for the part in co-generation unit (as only for Turbo-generator Set), this energy consumption that just may make thermoelectricity produce is higher, and, purchase coal high expensive.

Summary of the invention

The problem existing in the current cogeneration of heat and power of finding based on inventor, the application provides a kind of dispatching method of Hazards in Power Plant co-generation unit, mainly by rule of thumb co-generation unit is dispatched in order to solve dispatcher in prior art, the energy consumption that the thermoelectricity causing is produced is high, and the high problem of cost, also can under the prerequisite that meets production requirement, make production cost minimum.And the coal blending in co-generation unit, boiler, turbodynamo and temperature-decreased pressure reducer are combined consideration scheduling problem by the application, can make scheduling scheme accomplish " global optimum ".Further, depart from its original operating mode in equipment operation a period of time of co-generation unit, the application also can make up the impact that this difference is brought from scheduling scheme.

The application also provides dispatch application server and the system of Hazards in Power Plant co-generation unit, in order to ensure said method implementation and application in practice.

In order to address the above problem, the application discloses a kind of dispatching method of Hazards in Power Plant co-generation unit, described method is deployed on the dispatch application server in the dispatching system of Hazards in Power Plant co-generation unit, and described dispatching system also comprises: integrated data integrated platform server; Described method comprises:

Obtain and set up the required primary data of the condition model of individual device co-generation unit from integrated data integrated platform server, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal;

Set up the condition model of individual device in described co-generation unit according to described primary data;

Judge whether to meet the schedulable condition setting in advance, if, the electricity of exporting according to described condition model and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

Preferably, described in judge whether to meet the schedulable condition that sets in advance, comprising:

Judge whether the electricity of described Hazards in Power Plant co-generation unit within preset time period and the variation of hot total load exceed preset first threshold value, or, judge whether the difference of the coal-fired value of the scheduling of predicting in described Hazards in Power Plant co-generation unit and actual coal-fired value is greater than default Second Threshold.

Preferably, the electricity of the described condition model output of described foundation and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, and determine when the scheduling strategy of Hazards in Power Plant co-generation unit under preload, comprising:

By the electricity of described condition model output and hot Real-time Load data, and the controllable variable of the described condition model output of the impact of obtaining from integrated data integrated platform server and the value of auxiliary variable, as the input of the Optimal Operation Model of setting up in advance; Described Optimal Operation Model comprises objective function and constraint condition, and described objective function is:

MinC＝∑C _F+∑PE _n·G _n,in，

Wherein, C is the total production cost of described co-generation unit, C _ffor various raw coal costs, G _{n, in}be the flow that n level temperature-decreased pressure reducer is opened, PE _nit is the penalty value after n level temperature-decreased pressure reducer is opened; Described constraint condition comprises: material balance constraint condition, power balance constraint condition, turbodynamo constraint condition, boiler constraint condition, temperature-decreased pressure reducer constraint condition and coal blending constraint condition;

Adopt MILP (Mixed Integer Linear Programming) algorithm to calculate the result of described Optimal Operation Model under current electricity and hot load, to obtain the scheduling strategy of described Hazards in Power Plant co-generation unit under current electricity and hot load.

Preferably, also comprise:

The scheduling strategy of described Hazards in Power Plant co-generation unit is stored.

Preferably, also comprise:

In response to user's request, the described scheduling strategy of storage is showed to user, so that user triggers the Optimized Operation of described Hazards in Power Plant co-generation unit according to described scheduling strategy.

Preferably, also comprise:

The primary data that described condition model is required is carried out to pre-service, and described preprocess method includes but not limited to: outlier detection algorithm, linear smoothing algorithm or standardized algorithm.

Preferably, also comprise:

Judge that whether the number of times that the output valve of described condition model and the difference of actual value are greater than default the 3rd threshold value exceedes default difference frequency threshold value, if so, is identified for the regulated quantity of the output valve that compensates condition model according to this difference.

Preferably, also comprise:

Record the input and output of described condition model, and the sample of actual equipment operating condition formation, and judge that whether the sample number recording exceedes preset recording sample threshold, if so, utilizes the input and output of the condition model of described record again to train described condition model.

The application discloses a kind of dispatch application server of Hazards in Power Plant co-generation unit, comprising:

Obtain initial data unit, for obtaining from integrated data integrated platform server the required primary data of condition model of setting up co-generation unit individual device, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal;

Set up condition model unit, for set up the condition model of described co-generation unit individual device according to described primary data;

The first judging unit, for judging whether to meet the schedulable condition setting in advance;

Determine scheduling strategy unit, for in the case of the result of described judging unit be, according to the electricity of described condition model output and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

Preferably, described the first judging unit comprises:

The first judge module, for judging whether the electricity of described Hazards in Power Plant co-generation unit within preset time period and the variation of hot total load exceed preset first threshold value;

The second judge module, for judging whether the coal-fired value of scheduling that described Hazards in Power Plant co-generation unit is predicted is greater than default Second Threshold with the difference of actual coal-fired value.

Preferably, described definite scheduling strategy unit comprises:

Determine load module, be used for the electricity of described condition model output and hot Real-time Load data, and the controllable variable of the described condition model output of the impact of obtaining from integrated data integrated platform server and the value of auxiliary variable, as the input of the Optimal Operation Model of setting up in advance; Described Optimal Operation Model comprises objective function and constraint condition, and described objective function is:

MinC＝∑C _F+∑PE _n·G _n,in，

Wherein, C is the total production cost of described co-generation unit, C _ffor various raw coal costs, G _{n, in}be the flow that n level temperature-decreased pressure reducer is opened, PE _nit is the penalty value after n level temperature-decreased pressure reducer is opened; Described constraint condition comprises: material balance constraint condition, power balance constraint condition, turbodynamo constraint condition, boiler constraint condition, temperature-decreased pressure reducer constraint condition and coal blending constraint condition;

Computing module, for adopting MILP (Mixed Integer Linear Programming) algorithm to calculate the result of described Optimal Operation Model under current electricity and hot load, to obtain the scheduling strategy of described Hazards in Power Plant co-generation unit under current electricity and hot load.

Preferably, also comprise:

Storage unit, for storing the scheduling strategy of described Hazards in Power Plant co-generation unit.

Preferably, also comprise:

Show scheduling strategy unit, in response to user's request, the described scheduling strategy of storage is showed to user, so that user triggers the Optimized Operation of described Hazards in Power Plant co-generation unit according to described scheduling strategy.

Preferably, also comprise:

Data pretreatment unit, for the required primary data of described condition model is carried out to pre-service, described preprocess method includes but not limited to: outlier detection algorithm, linear smoothing algorithm or standardized algorithm.

Preferably, also comprise:

Judging unit, for judging whether the number of times that the output valve of described condition model and the difference of actual value are greater than default the 3rd threshold value exceedes default difference frequency threshold value;

Determine regulated quantity unit, in the result of described the second judging unit be, be identified for the regulated quantity of the output valve that compensates condition model according to this difference.

Preferably, also comprise:

Record cell, for recording the input and output of described condition model;

Whether the 3rd judging unit, exceed preset recording frequency threshold value for the number of times that judges record;

Training unit, in the result of described the 3rd judging unit be, utilize the input and output of the condition model of described record again to train described condition model.

The embodiment of the present application also provides a kind of dispatching system of Hazards in Power Plant co-generation unit, and this system comprises: dispatch application server and integrated data integrated platform server, and wherein, described dispatch application server comprises:

Obtain initial data unit, for obtaining from integrated data integrated platform server the required primary data of condition model of setting up co-generation unit individual device, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal;

Set up condition model unit, for set up the condition model of described co-generation unit individual device according to described primary data;

The first judging unit, for judging whether to meet the schedulable condition setting in advance;

Determine scheduling strategy unit, for in the case of the result of described judging unit be, according to the electricity of described condition model output and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

Compared with prior art, the application comprises following advantage:

Utilize in the embodiment of the present application the historical data obtaining, real-time equipment operating data from dispatching system, and set up each equipment working condition model and global optimization scheduling model in co-generation unit based on these data, implement global optimization scheduling to having Hazards in Power Plant co-generation unit.Therefore, for the concrete feature of Hazards in Power Plant co-generation unit, fundamentally solve the not enough problem that the dispatcher of enterprise dispatches by rule of thumb, thereby improve the accuracy of the scheduling of Hazards in Power Plant co-generation unit, improve the economy of co-generation unit scheduling, save coal consumption, reduce and purchase coal cost, thereby can reach the object of energy-saving and emission-reduction, cost efficiency.

Brief description of the drawings

In order to be illustrated more clearly in the technical scheme in the embodiment of the present application, below the accompanying drawing of required use during embodiment is described is briefly described, apparently, accompanying drawing in the following describes is only some embodiment of the application, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.

Fig. 1 is the system configuration example figure while carrying out the scheduling of Hazards in Power Plant co-generation unit in prior art;

Fig. 2 is the process flow diagram of the dispatching method embodiment of a kind of Hazards in Power Plant co-generation unit of the application;

Fig. 3 is the application scenarios figure of the dispatching method embodiment of a kind of Hazards in Power Plant co-generation unit of the application;

Fig. 4 is the process flow diagram that in the application's a kind of dispatching method embodiment of Hazards in Power Plant co-generation unit, condition model is carried out on-line correction;

Fig. 5 is the structured flowchart of the dispatch application server of a kind of Hazards in Power Plant co-generation unit of the application;

Fig. 6 is the structured flowchart that carries out on-line correction in a kind of Hazards in Power Plant co-generation unit of the application.

Accompanying drawing described herein is only some examples.In the situation that not departing from the application's spirit, figure described here can have different variations.All above-mentioned variations are considered to claimed the application's a part.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiment.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtaining under creative work prerequisite, all belong to the scope of the application's protection.

With reference to figure 2, show the process flow diagram of the dispatching method embodiment of a kind of Hazards in Power Plant co-generation unit of the application, described method is deployed on the dispatch application server in the dispatching system of Hazards in Power Plant co-generation unit, and described dispatching system can also comprise: integrated data integrated platform server; The present embodiment can comprise the following steps:

Step 201: dispatch application server obtains and sets up the required primary data of the condition model of individual device co-generation unit from integrated data integrated platform server.

In the embodiment of the present application, first dispatch application server needs to set up the condition model of individual device in co-generation unit, setting up the required primary data of condition model can obtain from integrated data integrated platform server, this primary data specifically can comprise: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam; Move closely-related auxiliary variable with equipment, for example, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data; For example, with former consumption of coal, the closely-related data of processing cost, raw coal physico-chemical analysis data, and, the price of raw coal.Wherein, real time data and historical data can be obtained from DCS, real-time data base, and deposit in integrated data integrated platform server for dispatch application server calls; The production schedule and data dispatching, laboratory analysis of data, raw coal price data or from third party's system, as the database server in MES, LIMS obtains, or the mode by artificial input is inputted by client by user, and deposit integrated data integrated platform server in for dispatch application server calls.

Shown in figure 3, for the instance graph of the global optimization dispatching system of the application's co-generation unit, comprising: the computer network that is arranged on the hardware devices such as on-the-spot measurement instrument, sensor 307, DCS306, integrated data integrated platform server 305, dispatch application server 302, client 301, fire wall, antivirus server 303, third party's system database server 304 and links each computer equipment, controller and sensor forms.

In Fig. 3, on-the-spot measurement instrument can be for the online necessary data of dispatching system that detect, and the data that detect are online sent to DCS system by sensor, realizes data acquisition and control.Data acquisition is as follows: co-generation unit scene is distributing, and several measure the measurement instrument of individual device service datas, done the pre-service such as filtering, buffering, amplification by these measurement instruments according to each self-metering different index signals, then, after signal being isolated by photoelectricity, send in DCS Control point label.

In Fig. 3, client can propose to read or write the requirement of relevant information to dispatch application server according to user's request, and according to user's request, scheduling scheme is shown in client.The main task of fire wall antivirus server is the working environment of the directly related client of monitoring thermoelectricity global optimization dispatching system, dispatching system application server, dispatching system integrated data integrated platform server etc.

In Fig. 3, dispatch application server is the core component of whole dispatching system, also be the executive agent of the application's embodiment of the method, it mainly moves the module such as co-generation unit equipment modeling method (corresponding step 202), co-generation unit global optimization scheduling modeling method (corresponding step 204).Dispatch application server need to call the data of storing in integrated data integrated platform server, and the model result that co-generation unit equipment modeling method, co-generation unit global optimization scheduling modeling method are obtained after implementing writes the database of integrated data integrated platform server.Meanwhile, calculate necessary model parameter for some models, whether dispatch application server can need to adjust by automatic decision, and automatically the related data of integrated data integrated platform server is upgraded to processing by application server in the time need to adjusting.

In Fig. 3, real-time data base and the relational database management system of integrated data integrated platform server based on professional, measurement data, raw materials cost data, laboratory analysis of data, the production schedule and the data dispatching etc. of enforcement co-generation unit global optimization being dispatched to needed production scene are stored in database.Wherein, raw materials cost data, laboratory analysis of data, the production schedule and data dispatching or come from third party's system database server, or write by the mode of manual entry in the database of integrated data integrated platform server.

In different embodiment, before step 201, can also comprise:

Step 200: the primary data that condition model is required is carried out to pre-service, and described preprocess method includes but not limited to: outlier detection algorithm, linear smoothing algorithm or standardized algorithm.

Be understandable that, in order to ensure to be stored in the accuracy of the data in integrated data integrated platform server, these data in step 201 all need by pre-service, to ensure correctness and the reliability of the data that gathered, avoid that to cause gathered data to occur abnormal because of error, wherein error refers to due to the error that control, environment, surveying instrument are unstable and the factor such as human error causes.Conventional data preprocessing method has a lot, as outlier detection, linear smoothing and standardization etc.These are all existing preprocess methods, do not repeat them here.

After step 201, execution step 202 continues: the condition model of setting up individual device in described co-generation unit according to described primary data.

In this step, can, according to the primary data getting from integrated data integrated platform server in step 201, set up the condition model of individual device in co-generation unit.

Equipment working condition model is in the present embodiment as follows:

Y＝f(X,X ^*)

Wherein, Y is the output vector of current device condition model; X is the controllable variable that affects the output of equipment working condition model, is the variable that artificially can control, as supplies consumption amount; X* is the auxiliary variable that affects equipment working condition model output, but artificially uncontrollable, as environment temperature etc.; F () is selected model structure.

In the time that co-generation unit equipment working condition model is set up, use and variable that equipment the is closely related funtcional relationship between obtaining equipment input and exporting.In the time obtaining these functional relations, also need to introduce other auxiliary variables, to improve the precision of equipment working condition model.In setting up co-generation unit equipment working condition model, be mainly the selection of model structure f () in formula (1), and, the selection of model controllable variable X and auxiliary variable X*.Wherein, the model structure storehouse of co-generation unit equipment working condition model can be made up of linear regression model (LRM), sectional linear fitting model, principal component model, partial least square model, artificial nerve network model or fuzzy neural network model etc., but is not limited to this.Above-mentioned model structure is all current very ripe models, and the application process of these models is conventionally known to one of skill in the art, repeats no more in this.

In the specific implementation, the model structure selection problem of co-generation unit equipment working condition model can be changed into one-zero programming problem, and adopt genetic algorithm to solve, from model structure storehouse, select the best model structure of simulate effect.Wherein, simulate effect preferably refer to the equipment working condition data in following a period of time of model and the service data of the physical device of this time period of gathering between difference minimum.Above-mentioned one-zero programming method is a kind of integer programming of special shape.Only value 0 or 1 of the decision variable of this planning, 0-1 variable can quantification the constraint condition of logical relation, ordinal relation and mutual exclusion between ground is described such as Push And Release, got and abandon, the phenomenon such as being and not being reflects discrete variable, the integer programming of every bounded variable can be converted into one-zero programming and process.Therefore, the model structure selection problem of thermal power unit condition model can be changed into one-zero programming problem processes.Wherein, because genetic algorithm is algorithm known in those skilled in the art, also repeat no more in this.

Similarly, the selection problem of controllable variable and auxiliary variable also changes into one-zero programming problem, and adopts genetic algorithm to solve, and selects the best controllable variable X of simulate effect and auxiliary variable vector X* from initial controllable variable and auxiliary variable vector.Similarly, simulate effect preferably refer to equipment operating data in following a period of time of model and the physical device service data of this time period of gathering between difference minimum.

In the application's other embodiment, can also, after step 202 has been set up condition model, detect and on suitable opportunity, it be adjusted for condition model, so with reference to shown in figure 4, after step 202, can also comprise:

Step 401: judge that whether the number of times that the output valve of described condition model and the difference of actual value are greater than default the 3rd threshold value exceedes default difference frequency threshold value, if so, enters step 402.

In the present embodiment, co-generation unit is coal yard, boiler, turbodynamo, temperature-decreased pressure reducer and the downstream user complication system that is mutually related, generally can not set up equipment working condition model accurately and accurately reflect that industrial process changes, and need real-time process model on-line correction is carried out to tracing process the changing of very large dependence, to reflect comparatively accurately the variation of process main trend.Therefore,, to the on-line correction of co-generation unit equipment working condition model, can ensure its long time stability and move.In actual applications, can be by independently adding an on-line correction module to realize the flow process of Fig. 4 in addition in equipment working condition model, with the output of charge of overseeing equipment working condition model and the operating mode actual value feeding back.

Need in this step the output valve of compare facilities condition model and the difference of actual value, in the time that difference is between the two greater than predetermined threshold, record the production status in this difference and corresponding section, if and the production status of time generation of this species diversity consecutive numbers and correspondence is all the time in the time of steady operational status, number of times has exceeded default difference frequency threshold value, so just needs follow-up adjusted.In addition, if do not exceed default difference frequency threshold value, be left intact.

Step 402: the regulated quantity that is identified for the output valve that compensates condition model according to this difference.

Provide one for compensating the regulated quantity of output valve of condition model by calculation deviation in this step, and this regulated quantity is added on the output layer node of equipment working condition model, thereby compensation equipment condition model output, so that itself and actual equipment operating condition data are close.

Step 403: record the input and output of described condition model, and the sample of actual equipment operating condition formation.

In the present embodiment, in the time that discovery difference is between the two greater than predetermined threshold, also need to record input (being various variablees) and the output by co-generation unit equipment working condition model, and the sample of actual equipment operating condition formation.

Step 404: whether the sample number that judges record exceedes preset recording sample threshold, if so, enters step 405.

Same, reach in preset recording sample threshold at recorded sample number, perform step 405.If do not reached, do not do any processing.

Step 405: utilize the input and output of the condition model of described record again to train described condition model.

Utilize in this step the sample exercise equipment condition model again recording, the parameter of Renewal model f (), makes the precision of prediction of model Output rusults reach pre-provisioning request.Wherein, described predetermined threshold and predetermined quantity all can be set according to the required precision of prediction of reality, are not construed as limiting in this.

Because in actual motion; the equipment of co-generation unit moved after a period of time, or usually can depart from its original operating mode after overhauling, transforming, and dispatcher is difficult to discover this difference sometimes; if dispatcher dispatches according to original scheduling custom, often cause the unreasonable of scheduling.And by the flow process of Fig. 4, it is carried out to on-line correction, just can ensure the accuracy of the condition model of equipment, thereby also can ensure the accuracy of follow-up Optimized Operation.

Then return to Fig. 2, enter step 203: judge whether to meet the schedulable condition setting in advance, if so, enter step 204.

In this step, need to judge whether current co-generation unit has met the schedulable condition pre-setting, concrete, can be by judging whether the electricity of Hazards in Power Plant co-generation unit within preset time period and the variation of hot total load exceed preset first threshold value, or, judge whether the difference of the coal-fired value of the scheduling of predicting in Hazards in Power Plant co-generation unit and actual coal-fired value is greater than default Second Threshold.Wherein, if whether the variation of the electricity of co-generation unit and hot total load exceedes preset first threshold value, illustrate that the total load of co-generation unit has larger adjustment, now need co-generation unit to dispatch.And if the difference of the coal-fired value of the scheduling of prediction and actual coal-fired value is also greater than default Second Threshold, illustrate that, in the case of current electricity and hot total load, larger conserve space, therefore also needs co-generation unit to dispatch in addition.

Step 204: according to the electricity of described condition model output and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

While determining scheduling strategy in this step, can realize by the co-generation unit global optimization scheduling model of setting up in advance, the core concept of this step is taking the total production cost minimum of co-generation unit as target, by optimizing boiler, turbodynamo and temperature-decreased pressure reducer load, optimizing raw coal proportion strategy, in the situation that ensureing production burden requirement, reduce temperature-decreased pressure reducer opening times and flow, the coal-fired consumption of minimizing, reduce and purchase coal cost, thereby can realize energy-saving and emission-reduction, the target of cost efficiency.

In the specific implementation, this step specifically can comprise:

Steps A 1: by the electricity of described condition model output and hot Real-time Load data, and the controllable variable of the described condition model output of the impact of obtaining from integrated data integrated platform server and the value of auxiliary variable, as the input of the Optimal Operation Model of setting up in advance.

In the present embodiment, Optimal Operation Model comprises objective function and constraint condition, and wherein objective function is as shown in formula (1):

MinC＝∑C _F+∑PE _n·G _n,in (1)

Wherein, C is the total production cost of described co-generation unit, C _ffor various raw coal costs, G _{n, in}be the flow that n level temperature-decreased pressure reducer is opened, PE _nit is the penalty value after n level temperature-decreased pressure reducer is opened.Equation the right Section 1 is guaranteed coal-firedly to consume, processing cost is minimum, and Section 2 guarantees that the unlatching of temperature-decreased pressure reducer is as far as possible few.Whole objective function represents that the object of Optimized Operation is in order to make co-generation unit when operation total production cost for minimum.

Wherein, constraint condition specifically can comprise: material balance constraint condition, power balance constraint condition, turbodynamo constraint condition, boiler constraint condition, temperature-decreased pressure reducer constraint condition and coal blending constraint condition.

Wherein, the material that thermoelectricity dispatching system relates to has raw coal and steam, and therefore material balance retrains as shown in formula (2), (3) and (4):

∑F _R＝∑F _B+∑F _L (2)

∑S _B＝∑D _in+∑G _n,in+∑S _L (3)

∑V _n,T+∑V _n,R＝∑V _n,U+∑V _n,L (4)

In formula (2)～(4), F _rrepresent former the consumption of coal; F _brepresent boiler fired coal consumption; F _lfor the loss of raw coal in course of conveying.S _brepresent boiler duty; D _inrepresent turbodynamo throttle flow, G _{n, in}represent n level temperature-decreased pressure reducer throttle flow; S _lrepresent the loss of steam in course of conveying.V _n,Trepresent turbodynamo n level (supplying) amount of drawing gas outward; V _n,Rrepresent n level temperature-decreased pressure reducer output quantity of steam; V _n,Urepresent user n level steam demand amount; V _n,Lrepresent the loss of n level steam in course of conveying.

Wherein, the generated energy of turbodynamo will meet the demand of downstream user, and therefore power balance retrains as shown in formula (5):

∑E＝∑E _U+∑E _L (5)

In formula (5), E represents turbodynamo generated energy, E _urepresent user power utilization demand, E _lrepresent the power consumption in transmission of electricity process.

Wherein, turbodynamo will meet the requirement of turbodynamo equipment working condition model structure and restriction of production, and therefore equipment (turbodynamo) constraint condition is as shown in formula (6), (7), (8) and (9):

D _in＝f(E,D _n,out,P _in,P _n,out,T _in,T _n,out,X ^*) (6)

$D_{\mathrm{in}}^{\min }\·y_T\≤D_{\mathrm{in}}\·y_T\≤D_{\mathrm{in}}^{\max }\·y_T---\left(7\right)$

E ^min·y _T≤E·y _T≤E ^max·y _T (8)

$D_{n,\mathrm{out}}^{\min }\·y_T\≤D_{n,\mathrm{out}}\·y_T\≤D_{n,\mathrm{out}}^{\max }\·y_T---\left(9\right)$

In formula (6)～(9), D _infor turbodynamo throttle flow, the generated energy that E is turbodynamo, D _{n, out}for (the supplying outward) amount of drawing gas of turbodynamo n level, P _infor turbodynamo initial steam pressure, P _{n, out}be n level (the supplying outward) pressure that draws gas, T _infor turbodynamo throttle (steam) temperature, T _{n, out}be n level (the supplying outward) temperature of drawing gas, X ^*for other auxiliary variables. be respectively lower limit and the higher limit of turbodynamo throttle flow; E ^min, E ^maxbe respectively lower limit and the higher limit of turbodynamo generated energy; be respectively that turbodynamo n level draws gas lower limit and higher limit; y _tfor 0-1 variable, be the switching on and shutting down control variable as each turbodynamo, if turbodynamo start, y _tvalue is 1, and y shuts down _tbe 0.

Wherein, boiler will meet the requirement of boiler plant condition model structure and restriction of production, and therefore equipment (boiler) constraint condition is as shown in formula (10) and (11):

F _B＝f(S _B,P,T,P ₀,T ₀,W _B,Pw,Tw,η,Q,X ^*) (10)

$S_B^{\min }\·y_B\≤S_B\·y_B\≤S_B^{\max }\·y_B---\left(11\right)$

In formula (10) and (11), F _bfor boiler fired coal consumption, S _bfor the evaporation capacity of boiler, P is the boiler pressure that steams, and T is the boiler temperature of steaming, P ₀for boiler feed water pressure, T ₀for boiler feed temperature, W _bfor boiler blow-off discharge, Pw is boiler blow-off water pressure, and Tw is boiler blow-off coolant-temperature gage, and η is boiler efficiency, the net calorific value that Q is fuel, X ^*for other auxiliary variables. be respectively lower limit and the higher limit of boiler duty.Y _bfor 0-1 variable, be the switching on and shutting down control variable as each boiler, if boiler start, y _bvalue is 1, and y shuts down _bbe 0.

Wherein, temperature-decreased pressure reducer will meet the requirement of desuperheat pressurizer equipment working condition model structure and restriction of production, and therefore temperature-decreased pressure reducer constraint condition is as shown in formula (12) and (13):

G _n,out＝f(G _n,in,P _n,in,P _n,out,T _n,in,T _n,out,Pw _n,Tw _n,X ^*) (12)

$G_{n,\mathrm{in}}^{\min }\·y_{G,n}\≤G_{n,\mathrm{in}}\·y_{G,n}\≤G_{n,\mathrm{in}}^{\max }\·y_{G,n}---\left(13\right)$

In formula (12) and (13), G _{n, out}be n level temperature-decreased pressure reducer outlet quantity of steam, G _{n, in}be n level temperature-decreased pressure reducer inlet steam amount, P _{n, in}be n level temperature-decreased pressure reducer inlet steam pressure, P _{n, out}be n level temperature-decreased pressure reducer outlet vapor pressure, T _{n, in}be n level temperature-decreased pressure reducer inlet steam temperature, T _{n, out}be n level temperature-decreased pressure reducer outlet steam temperature, Pw is the pressure of desuperheating water of n level temperature-decreased pressure reducer, and Tw is the desuperheating water temperature of n level temperature-decreased pressure reducer, X ^*for other auxiliary variables. be respectively lower limit and the higher limit of n level temperature-decreased pressure reducer inlet steam.Y _g,nfor 0-1 variable, be the switching on and shutting down control variable as n level temperature-decreased pressure reducer, if the start of n level temperature-decreased pressure reducer, y _g,nvalue is 1, and y shuts down _g,nbe 0.

Wherein, due to the requirement of safety in production and process conditions, boiler has certain limitation to the coal-fired physical and chemical index (as net calorific value, moisture, ash grade) using, and therefore the constraint condition of coal blending is as shown in formula (14), (15) and (16):

Zm _i＝∑f _i(Z _i) (14)

${\mathrm{Zm}}_i^{\min }\≤{\mathrm{Zm}}_i\≤{\mathrm{Zm}}_i^{\max }---\left(15\right)$

C _F＝f(F _R,Z,L,X ^*) (16)

In formula (14)～(16), Zm _irepresent the i item physical and chemical index of the boiler fired coal after raw coal proportion, Z _ifor the i item physical and chemical index of raw coal, ∑ f _i() is the model structure of the i item physical and chemical index of different raw coal proportion gained fire coals, be respectively lower limit and the higher limit of coal-fired i item physical and chemical index.C _ffor raw coal buying, processing cost; F _rfor various former the consumption of coals; Z is the physico-chemical analysis data of raw coal; L is the unit price of raw coal; X ^*for the auxiliary variable of the buying of other influences raw coal, processing cost; F () is for obtaining raw coal buying, the selected model structure of processing cost.

Be understandable that, in formula (1)～(16), there are a lot of constants, comprise unit price, the physico-chemical analysis data of raw coal etc. of environment temperature, penalty value, material loss, power consumption, various upper lower limit value, raw coal, all need manually to determine according to each actual conditions of applying enterprise, mode by artificial input is inputted by client by user, and deposits dispatching system integrated data integrated platform server in for dispatch application server calls.

Be understandable that, in formula (1)～(16), except the output of above-mentioned constant and co-generation unit equipment working condition model, the data of other parameters can be obtained from DCS, real-time data base, or from third party's system, as the database server in MES, LIMS obtains, and deposit dispatching system integrated data integrated platform server in for dispatch application server calls.

After steps A 1, then perform step A2: adopt MILP (Mixed Integer Linear Programming) algorithm to calculate the result of described Optimal Operation Model under current electricity and hot load, to obtain the scheduling strategy of described Hazards in Power Plant co-generation unit under current electricity and hot load.

It should be noted that, form the most basic scheduling model of co-generation unit global optimization scheduling by target function type (1) and constraint equation (2)～(16), scheduling model is owing to there being 0-1 variable, need to adopt MILP (Mixed Integer Linear Programming) method to solve, MILP (Mixed Integer Linear Programming) algorithm is more common, repeats no more in this.Especially, because different Hazards in Power Plants has different requirements to the scheduling of co-generation unit, so the foundation of this Optimal Operation Model is not limited to formula (1)～(16), this global optimization dispatching system can be expanded model according to the concrete condition of each cogeneration plant, to adapt to the demand of different scenes.

Visible, the embodiment of the present application adopts the mode of multi-layer framework, main kernel model and algorithm are deployed in the mode of assembly in the dispatch application server in middle layer (executive agent is dispatch application server), thereby provide a kind of general, can expand transplantablely, can meet the requirement of different Hazards in Power Plant co-generation unit global optimizations scheduling.Compared with prior art, the application sets up co-generation unit global optimization scheduling model based on equipment working condition model, to meet electricity, heat (steam) total load is prerequisite, the total production cost of co-generation unit is minimum is target, automatically provide the scheduling scheme of optimization, realize coal blending, boiler, turbodynamo, temperature-decreased pressure reducer combines the scheduling scheme of making " global optimization ", thereby improve the economy of co-generation unit scheduling, realize energy-saving and emission-reduction, the target of cost efficiency, and the problem of having avoided to a certain extent the artificial subjectivity of dispatcher and having brought because lacking experience.

In different embodiment, after step 204, can also comprise:

Step 205: the scheduling strategy of described Hazards in Power Plant co-generation unit is stored.

After obtaining scheduling strategy, this scheduling strategy can also be stored in integrated data integrated platform server.

Step 206: in response to user's request, the described scheduling strategy of storage is showed to user, so that user triggers the Optimized Operation of described Hazards in Power Plant co-generation unit according to described scheduling strategy.

If receive the request that user triggers by client, can from integrated data integrated platform server, transfer out scheduling strategy and show user in client, the scheduling strategy that user can see according to it triggers the Optimized Operation of Hazards in Power Plant co-generation unit.

For aforesaid embodiment of the method, for simple description, therefore it is all expressed as to a series of combination of actions, but those skilled in the art should know, the application is not subject to the restriction of described sequence of movement, because according to the application, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and related action and module might not be that the application is necessary.

Corresponding with the dispatching method embodiment of a kind of Hazards in Power Plant co-generation unit of above-mentioned the application, referring to Fig. 5, the application also provides a kind of dispatch application server example of Hazards in Power Plant co-generation unit, and in the present embodiment, this server can comprise:

Obtain initial data unit 501, for obtaining from integrated data integrated platform server the required primary data of condition model of setting up co-generation unit individual device, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal.

Set up condition model unit 502, for set up the condition model of described co-generation unit individual device according to described primary data.

Wherein, described device can also carry out on-line correction to the condition model of setting up, and, with reference to shown in figure 6, this device can also comprise:

Judging unit 601, for judging whether the number of times that the output valve of described condition model and the difference of actual value are greater than default the 3rd threshold value exceedes default difference frequency threshold value.

Determine regulated quantity unit 602, in the result of described the second judging unit be, be identified for the regulated quantity of the output valve that compensates condition model according to this difference.

Record cell 603, for recording the input and output of described condition model,, and the sample of actual equipment operating condition formation.

Whether the 3rd judging unit 604, exceed preset recording sample threshold for the sample number that judges record.

Training unit 605, in the result of described the 3rd judging unit be, utilize the input and output of the condition model of described record again to train described condition model.

The first judging unit 503, for judging whether to meet the schedulable condition setting in advance.

Wherein, described the first judging unit specifically can comprise: the first judge module, for judging whether the electricity of described Hazards in Power Plant co-generation unit within preset time period and the variation of hot total load exceed preset first threshold value; The second judge module, for judging whether the coal-fired value of scheduling that described Hazards in Power Plant co-generation unit is predicted is greater than default Second Threshold with the difference of actual coal-fired value.

Determine scheduling strategy unit 504, for in the case of the result of described judging unit be, according to the electricity of described condition model output and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

Wherein, described definite scheduling strategy unit 504 specifically can comprise:

Determine load module, be used for the electricity of described condition model output and hot Real-time Load data, and the controllable variable of the described condition model output of the impact of obtaining from integrated data integrated platform server and the value of auxiliary variable, as the input of the Optimal Operation Model of setting up in advance; Described Optimal Operation Model comprises objective function and constraint condition, and described objective function can be:

MinC＝∑C _F+∑PE _n·G _n,in，

Wherein, C is the total production cost of described co-generation unit, C _ffor various raw coal costs, G _{n, in}be the flow that n level temperature-decreased pressure reducer is opened, PE _nit is the penalty value after n level temperature-decreased pressure reducer is opened; Described constraint condition comprises: material balance constraint condition, power balance constraint condition, turbodynamo constraint condition, boiler constraint condition, temperature-decreased pressure reducer constraint condition and coal blending constraint condition; Computing module, for adopting MILP (Mixed Integer Linear Programming) algorithm to calculate the result of described Optimal Operation Model under current electricity and hot load, to obtain the scheduling strategy of described Hazards in Power Plant co-generation unit under current electricity and hot load.

In different embodiment, this dispatch application server can also comprise:

Data pretreatment unit 500, for the required primary data of described condition model is carried out to pre-service, described preprocess method includes but not limited to: outlier detection algorithm, linear smoothing algorithm or standardized algorithm.

In different embodiment, this dispatch application server can also comprise:

Storage unit 505, for storing the scheduling strategy of described Hazards in Power Plant co-generation unit.And,

Show scheduling strategy unit 506, in response to user's request, the described scheduling strategy of storage is showed to user, so that user triggers the Optimized Operation of described Hazards in Power Plant co-generation unit according to described scheduling strategy.

The application sets up co-generation unit global optimization scheduling model based on equipment working condition model, to meet electricity, heat (steam) total load is prerequisite, the total production cost of co-generation unit is minimum is target, automatically provide the scheduling scheme of optimization, realize coal blending, boiler, turbodynamo, temperature-decreased pressure reducer combines the scheduling scheme of making " global optimization ", thereby improve the economy of co-generation unit scheduling, realize energy-saving and emission-reduction, the target of cost efficiency, and the problem of having avoided to a certain extent the artificial subjectivity of dispatcher and having brought because lacking experience.

The embodiment of the present application also provides a kind of dispatching system, and this dispatching system specifically can comprise dispatch application server and integrated data integrated platform server, and wherein, described dispatch application server comprises:

Obtain initial data unit, for obtaining from integrated data integrated platform server the required primary data of condition model of setting up co-generation unit individual device, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal;

Set up condition model unit, for set up the condition model of described co-generation unit individual device according to described primary data;

The first judging unit, for judging whether to meet the schedulable condition setting in advance;

Determine scheduling strategy unit, for in the case of the result of described judging unit be, according to the electricity of described condition model output and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

It should be noted that, each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment, between each embodiment identical similar part mutually referring to.For system class embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part is referring to the part explanation of embodiment of the method.

Finally, also it should be noted that, in this article, relational terms such as the first and second grades is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply and between these entities or operation, have the relation of any this reality or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, article or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, article or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.

But above-described is only example.In the situation that not departing from the application's spirit, can there be many different variations.For example, although in the present embodiment only taking network performance measurement as object, many large-scale networks also can obtain an advantage from the application's spirit, this includes but not limited to, network monitoring system, network service cooperative operation system; These systems can certain class method by consumption of natural resource from the application move on in the thought that concentrated high-performance server moves and obtain useful enlightenment.

Although only carry out result data matching with numerical computation method in the application's preferred embodiment; but in specific embodiment; the matching of result data can produce a desired effect by multiple mutation method and model, and these mutation algorithms are parts of claimed the application.

Although in the application's embodiment; dispatch application server has used a master control process; but this master control process is not the necessary part that the application implements in specific embodiment; do not departing under the prerequisite of the application's spirit, the technology mutation that this master control process is modified, removed is claimed the application's a part.

Although in the application's embodiment, between each parts, can use UDP (User Datagram Protoco) to communicate, obviously for person skilled in the art, in the situation that not departing from the application's spirit, can will this communication protocol be replaced or be revised.

Although in the application's preferred embodiment, simple network table tennis agreement is used between dispatch application server and network probe and communicates.Obviously for person skilled in the art, in the situation that not departing from the application's spirit, can will this communication protocol be replaced or be revised.

Although all parts of describing in the application is computer program, any part in the application all can realize in software, firmware, hardware or its combination.

Although describe preferred embodiment here in detail; but for person skilled in the art; in the situation that not departing from the application's spirit, can make different changes, increase, replacement or similar operations obviously, and within these are all considered to be in the protection domain of defined the application in claim.

Dispatching method, server and the system of a kind of Hazards in Power Plant co-generation unit above the application being provided are described in detail, applied principle and the embodiment of specific case to the application herein and set forth, the explanation of above embodiment is just for helping to understand the application's method and core concept thereof; , for one of ordinary skill in the art, according to the application's thought, all will change in specific embodiments and applications, in sum, this description should not be construed as the restriction to the application meanwhile.

Claims (17)

1. the dispatching method of a Hazards in Power Plant co-generation unit, it is characterized in that, described method is deployed on the dispatch application server in the dispatching system of Hazards in Power Plant co-generation unit, and described dispatching system also comprises: integrated data integrated platform server; Described method comprises:

Obtain and set up the required primary data of the condition model of individual device co-generation unit from integrated data integrated platform server, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal;

Set up the condition model of individual device in described co-generation unit according to described primary data;

Judge whether to meet the schedulable condition setting in advance, if, the electricity of exporting according to described condition model and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

2. method according to claim 1, is characterized in that, described in judge whether to meet the schedulable condition that sets in advance, comprising:

Judge whether the electricity of described Hazards in Power Plant co-generation unit within preset time period and the variation of hot total load exceed preset first threshold value, or, judge whether the difference of the coal-fired value of the scheduling of predicting in described Hazards in Power Plant co-generation unit and actual coal-fired value is greater than default Second Threshold.

3. method according to claim 1, it is characterized in that, the electricity of the described condition model output of described foundation and hot Real-time Load data, and affect controllable variable and the auxiliary variable of the output of described condition model, determine when the scheduling strategy of Hazards in Power Plant co-generation unit under preload, comprising:

By the electricity of described condition model output and hot Real-time Load data, and the controllable variable of the described condition model output of the impact of obtaining from integrated data integrated platform server and the value of auxiliary variable, as the input of the Optimal Operation Model of setting up in advance; Described Optimal Operation Model comprises objective function and constraint condition, and described objective function is:

MinC＝∑C _F+∑PE _n·G _n,in，

Wherein, C is the total production cost of described co-generation unit, C _ffor various raw coal costs, G _{n, in}be the flow that n level temperature-decreased pressure reducer is opened, PE _nit is the penalty value after n level temperature-decreased pressure reducer is opened; Described constraint condition comprises: material balance constraint condition, power balance constraint condition, turbodynamo constraint condition, boiler constraint condition, temperature-decreased pressure reducer constraint condition and coal blending constraint condition;

Adopt MILP (Mixed Integer Linear Programming) algorithm to calculate the result of described Optimal Operation Model under current electricity and hot load, to obtain the scheduling strategy of described Hazards in Power Plant co-generation unit under current electricity and hot load.

4. method according to claim 1, is characterized in that, also comprises:

The scheduling strategy of described Hazards in Power Plant co-generation unit is stored.

5. method according to claim 4, is characterized in that, also comprises:

In response to user's request, the described scheduling strategy of storage is showed to user, so that user triggers the Optimized Operation of described Hazards in Power Plant co-generation unit according to described scheduling strategy.

6. method according to claim 1, is characterized in that, also comprises:

The primary data that described condition model is required is carried out to pre-service, and described preprocess method includes but not limited to: outlier detection algorithm, linear smoothing algorithm or standardized algorithm.

7. method according to claim 1, is characterized in that, also comprises:

Judge that whether the number of times that the output valve of described condition model and the difference of actual value are greater than default the 3rd threshold value exceedes default difference frequency threshold value, if so, is identified for the regulated quantity of the output valve that compensates condition model according to this difference.

8. method according to claim 7, is characterized in that, also comprises:

Record the input and output of described condition model, and the sample of actual equipment operating condition formation, and judge that whether the sample number recording exceedes preset recording sample threshold, if so, utilizes the input and output of the condition model of described record again to train described condition model.

9. a dispatch application server for Hazards in Power Plant co-generation unit, is characterized in that, this server comprises:

Obtain initial data unit, for obtaining from integrated data integrated platform server the required primary data of condition model of setting up co-generation unit individual device, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal;

Set up condition model unit, for set up the condition model of described co-generation unit individual device according to described primary data;

The first judging unit, for judging whether to meet the schedulable condition setting in advance;

Determine scheduling strategy unit, for in the case of the result of described judging unit be, according to the electricity of described condition model output and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.

10. dispatch application server according to claim 9, is characterized in that, described the first judging unit comprises:

The first judge module, for judging whether the electricity of described Hazards in Power Plant co-generation unit within preset time period and the variation of hot total load exceed preset first threshold value;

The second judge module, for judging whether the coal-fired value of scheduling that described Hazards in Power Plant co-generation unit is predicted is greater than default Second Threshold with the difference of actual coal-fired value.

11. dispatch application servers according to claim 9, is characterized in that, described definite scheduling strategy unit comprises:

Determine load module, be used for the electricity of described condition model output and hot Real-time Load data, and the controllable variable of the described condition model output of the impact of obtaining from integrated data integrated platform server and the value of auxiliary variable, as the input of the Optimal Operation Model of setting up in advance; Described Optimal Operation Model comprises objective function and constraint condition, and described objective function is:

MinC＝∑C _F+∑PE _n·G _n,in，

Wherein, C is the total production cost of described co-generation unit, C _ffor various raw coal costs, G _{n, in}be the flow that n level temperature-decreased pressure reducer is opened, PE _nit is the penalty value after n level temperature-decreased pressure reducer is opened; Described constraint condition comprises: material balance constraint condition, power balance constraint condition, turbodynamo constraint condition, boiler constraint condition, temperature-decreased pressure reducer constraint condition and coal blending constraint condition;

Computing module, for adopting MILP (Mixed Integer Linear Programming) algorithm to calculate the result of described Optimal Operation Model under current electricity and hot load, to obtain the scheduling strategy of described Hazards in Power Plant co-generation unit under current electricity and hot load.

12. dispatch application servers according to claim 9, is characterized in that, also comprise:

Storage unit, for storing the scheduling strategy of described Hazards in Power Plant co-generation unit.

13. dispatch application servers according to claim 12, is characterized in that, also comprise:

Show scheduling strategy unit, in response to user's request, the described scheduling strategy of storage is showed to user, so that user triggers the Optimized Operation of described Hazards in Power Plant co-generation unit according to described scheduling strategy.

14. dispatch application servers according to claim 9, is characterized in that, also comprise:

Data pretreatment unit, for the required primary data of described condition model is carried out to pre-service, described preprocess method includes but not limited to: outlier detection algorithm, linear smoothing algorithm or standardized algorithm.

15. dispatch application servers according to claim 9, is characterized in that, also comprise:

Judging unit, for judging whether the number of times that the output valve of described condition model and the difference of actual value are greater than default the 3rd threshold value exceedes default difference frequency threshold value;

Determine regulated quantity unit, in the result of described the second judging unit be, be identified for the regulated quantity of the output valve that compensates condition model according to this difference.

16. dispatch application servers according to claim 15, is characterized in that, also comprise:

Record cell, for recording the input and output of described condition model;

Whether the 3rd judging unit, exceed preset recording frequency threshold value for the number of times that judges record;

Training unit, in the result of described the 3rd judging unit be, utilize the input and output of the condition model of described record again to train described condition model.

The dispatching system of 17. 1 kinds of Hazards in Power Plant co-generation units, is characterized in that, this system comprises: dispatch application server and integrated data integrated platform server, and wherein, described dispatch application server comprises:

Obtain initial data unit, for obtaining from integrated data integrated platform server the required primary data of condition model of setting up co-generation unit individual device, described primary data comprises: turbodynamo throttle flow, generated energy and the amount of drawing gas, the steam production of boiler, temperature-decreased pressure reducer is imported and exported real time data and the historical data of quantity of steam, the real time data of vapor (steam) temperature and historical data, the real time data of vapor pressure and historical data, raw coal physico-chemical analysis data, and, the price of raw coal;

Set up condition model unit, for set up the condition model of described co-generation unit individual device according to described primary data;

The first judging unit, for judging whether to meet the schedulable condition setting in advance;

Determine scheduling strategy unit, for in the case of the result of described judging unit be, according to the electricity of described condition model output and hot Real-time Load data, and affect controllable variable and the auxiliary variable that described condition model is exported, determine the scheduling strategy when Hazards in Power Plant co-generation unit under preload.