CN109978271A - A kind of thermal power plant's booting policy optimization method and system based on haze prediction - Google Patents
A kind of thermal power plant's booting policy optimization method and system based on haze prediction Download PDFInfo
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- CN109978271A CN109978271A CN201910252895.0A CN201910252895A CN109978271A CN 109978271 A CN109978271 A CN 109978271A CN 201910252895 A CN201910252895 A CN 201910252895A CN 109978271 A CN109978271 A CN 109978271A
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000005457 optimization Methods 0.000 title claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 17
- 238000004590 computer program Methods 0.000 claims description 3
- 238000001556 precipitation Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 2
- 238000004870 electrical engineering Methods 0.000 abstract description 2
- 210000004209 hair Anatomy 0.000 description 11
- 230000009467 reduction Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000003245 coal Substances 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000003595 mist Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000005619 thermoelectricity Effects 0.000 description 1
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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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
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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 present invention relates to electrical engineering technical fields, disclose a kind of thermal power plant's booting policy optimization method and system based on haze prediction, to reduce thermal power plant's pollution and hot driving in haze region, alleviate haze；The method comprise the steps that acquiring the historical basis data of region power plant units to be analyzed, and the haze Real-time Monitoring Data and meteorology forecast data in region to be analyzed are obtained, haze predicted value of the region to be analyzed in the following setting number of days is predicted according to haze Real-time Monitoring Data and meteorological forecast data；According to haze predicted value by haze serious conditions according to by gently to the haze early warning for being divided at least three grades again；The target discharge amount that the haze early warning of each grade is calculated according to historical basis data determines the startup-shutdown quantity of thermal power plant in the corresponding grid of the grade according to target discharge amount.
Description
Technical field
The present invention relates to electrical engineering technical field more particularly to a kind of thermal power plant's booting strategy based on haze prediction are excellent
Change method and system.
Background technique
Currently, industrial boom is rapid, the fossil energy consumption based on coal, petroleum significantly increases, atmosphere pollution
Object discharge amount dramatically increases, and China's haze in recent years is caused to show the trend for concentrating outburst, especially North China, China, winter
Season, haze event occurred again and again, caused to seriously affect to people's production and living and health.Thermal power plant is not exclusively fired due to it
Burning produces a large amount of pollutant, while the weather environments such as upper layer air themperature for also changing heavily contaminated region, further plus
The severity of haze is weighed.
Therefore, how to reduce haze region thermal power plant pollution and hot driving, alleviate haze, become one it is urgently to be solved
Problem.
Summary of the invention
It is an object of that present invention to provide a kind of thermal power plant's booting policy optimization methods and system based on haze prediction, to subtract
Thermal power plant's pollution and hot driving in few haze region, alleviate haze.
To achieve the above object, the present invention provides it is a kind of based on haze prediction thermal power plant be switched on policy optimization method,
The following steps are included:
S1: the historical basis data of region power plant units to be analyzed are acquired, and the haze for obtaining region to be analyzed is real-time
Monitoring data and meteorological forecast data, predict area to be analyzed according to the haze Real-time Monitoring Data and the weather forecast data
Haze predicted value of the domain in the following setting number of days；
S2: according to the haze predicted value by haze serious conditions according to by gently to the mist for being divided at least three grades again
Haze early warning；
S4: the target discharge amount of the haze early warning of each grade is calculated according to the historical basis data, according to the mesh
Mark discharge amount determines the startup-shutdown quantity of thermal power plant in the corresponding grid of the grade.
Preferably, after the completion of the S2, the method also includes steps:
S3: analyzed area is treated according to haze grade and carries out grid dividing, calculates the haze predicted value of some grid, is calculated
The discharge amount of exhaust gas of the thermal power plant of the haze predicted value of the grid may be will affect in the following setting number of days.
Preferably, it in the S4, when being that the haze early warning of each grade sets target discharge amount, is discharged according to the exhaust gas
Amount setting.
Preferably, in the S2, the three grades is respectively yellow warning grade, orange warning grade and red
Warning grade；
When for yellow warning grade, it is all full to calculate all power plant units in the corresponding region of yellow warning grade
The first discharge amount in the case of hair sets target discharge amount as the 50% of first discharge amount；
When for orange warning grade, it is all full to calculate all power plant units in the corresponding region of orange warning grade
The second discharge amount in the case of hair sets target discharge amount as the 80% of second discharge amount；
When for red early warning grade, it is all full to calculate all power plant units in the corresponding region of red early warning grade
Third discharge amount in the case of hair sets target discharge amount zero.
Preferably, the haze Real-time Monitoring Data is obtained by haze monitoring station, and the weather forecast data include
Gas epidemic disaster, wind speed and precipitation.
Preferably, the historical basis data include thermal power plant's title, thermal power plant's longitude and latitude position, power plant units platform
Number, unit installed capacity, installation utilization rate, unit SO2Emission factor and unit CO2One of emission factor is any
Several combinations.
The inventive concept total as one, the present invention also provides a kind of thermal power plant's booting policy optimizations predicted based on haze
System including memory, processor and is stored in the computer program that can be run on the memory and on the processor,
The step of processor realizes the above method when executing described program.
The invention has the following advantages:
The present invention provides a kind of thermal power plant's booting policy optimization method and system based on haze prediction, is predicted according to haze
Haze serious conditions are carried out grade classification by value, set corresponding target discharge amount, operability to the haze early warning of each grade
By force, the thermal power plant for treating analysis area for haze serious conditions carries out more flexible startup-shutdown arrangement, can comparatively fast determine thermoelectricity
The startup-shutdown strategy of factory administers the theoretical foundation for the science of providing for haze.
Below with reference to accompanying drawings, the present invention is described in further detail.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is thermal power plant's booting policy optimization method flow chart based on haze prediction of the preferred embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in detail below in conjunction with attached drawing, but the present invention can be defined by the claims
Implement with the multitude of different ways of covering.
Unless otherwise defined, all technical terms used hereinafter and the normally understood meaning of those skilled in the art
It is identical." first ", " second " used in present patent application specification and claims and similar word are simultaneously
Any sequence, quantity or importance are not indicated, and are intended merely to facilitate and corresponding components are distinguished.
Embodiment 1
Referring to Fig. 1, the present embodiment provides a kind of thermal power plant's booting policy optimization methods of haze prediction, which is characterized in that
The following steps are included:
S1: the historical basis data of region power plant units to be analyzed are acquired, and the haze for obtaining region to be analyzed is real-time
Monitoring data and meteorological forecast data predict region to be analyzed in future according to haze Real-time Monitoring Data and meteorological forecast data
Set the haze predicted value in number of days；
S2: according to haze predicted value by haze serious conditions according to by gently pre- to the haze for being divided at least three grades again
It is alert；
S4: the target discharge amount of the haze early warning of each grade is calculated according to historical basis data, according to target discharge amount
Determine the startup-shutdown quantity of thermal power plant in the corresponding grid of the grade.
The above-mentioned thermal power plant based on haze prediction is switched on policy optimization method, according to haze predicted value by the serious feelings of haze
Condition carries out grade classification, sets corresponding target discharge amount to the haze early warning of each grade, strong operability is serious for haze
The thermal power plant that situation treats analysis area carries out more flexible startup-shutdown arrangement, can comparatively fast determine the startup-shutdown strategy of thermal power plant,
The theoretical foundation for the science of providing is provided for haze.
In the present embodiment, the historical basis data type of the region power plant units to be analyzed acquired in S1 includes thermal power plant
Title, thermal power plant's longitude and latitude position, power plant units number of units, unit installed capacity, install utilization rate, unit SO2 emission factor,
Unit CO2 emission factor.
As the present embodiment preferred embodiment, in S2, three grades is respectively yellow warning grade, orange warning etc.
Grade and red early warning grade；After the completion of S2, this method is further comprised the steps of:
S3: analyzed area is treated according to haze grade and carries out grid dividing, calculates the haze predicted value of some grid, is calculated
The discharge amount of exhaust gas of the thermal power plant of the haze predicted value of the grid may be will affect in the following setting number of days.In the present embodiment,
The haze class index of yellow early warning is set as 1, the haze class index of orange warning is set as 2, the haze grade of red early warning
Index is set as 3, and no haze warning grade index is set as 0, and the side length of grid dividing is that 9km is obtained then after grid dividing
The each net region 9*9km for indicating class index is referred to if existing simultaneously two class indexes in some net region with grade
The high class index for the grid of number.It should be noted that the transfer of haze is by wind direction, wind speed around local environment etc.
It influences, treats analyzed area and carry out grid dividing, and calculate the corresponding thermal power plant of each grid in full hair to neighbouring net region
Caused by haze influence, the haze serious conditions in each net region can be more accurately determined, can preferably calculate this
The startup-shutdown quantity of thermal power plant in net region.
As the present embodiment preferred embodiment, in S4, when being that the haze early warning of each grade sets target discharge amount,
It is set according to above-mentioned discharge amount of exhaust gas.
When for yellow warning grade, it is all full to calculate all power plant units in the corresponding region of yellow warning grade
The first discharge amount in the case of hair, wherein the first discharge amount in the case of the whole full hairs of all power plant units is according to corresponding area
The historical basis data of power plant units in domain are calculated.Target discharge amount is set as the first discharge amount 50% (needs
Illustrating, the present invention does not limit the target discharge amount, its specific value can also be adjusted in a certain range, such as
It is adjusted in the range of ± 5%).That is, the region for being 1 for haze grade, calculates the region according to historical basis data
When interior all power plant units are all completely sent out, CO2 the and SO2 discharge amount of each unit output, by all unit discharge amounts of reduction
50% calculates total reduction discharge amount.Then it is formulated in the net region according to total discharge amount that reduces using maximum generating watt as target
Fired power generating unit startup-shutdown strategy.Meanwhile the wind according to the thermal power plant in adjacent mesh region at a distance from the grid, in combining environmental
To, wind speed, all possible machines influenced may be calculated to the unit that forecast grid haze has an impact by calculating in prediction period
Discharge amount of exhaust gas when group is completely sent out, and be target by reducing by 50% discharge amount and keeping maximum generating watt, it is adjacent to formulate the grid
Fired power generating unit startup-shutdown strategy in net region.
When for orange warning grade, it is all full to calculate all power plant units in the corresponding region of orange warning grade
The second discharge amount in the case of hair, wherein the second discharge amount in the case of the whole full hairs of all power plant units is according to corresponding area
The historical basis data of power plant units in domain are calculated.Target discharge amount is set as the second discharge amount 80% (needs
Illustrating, the present invention does not limit the target discharge amount, its specific value can also be adjusted in a certain range, such as
It is adjusted in the range of ± 5%).That is, the region for being 2 for haze grade, calculates the region according to historical basis data
When interior all power plant units are all completely sent out, the CO of each unit output2And SO2Discharge amount, by all unit discharge amounts of reduction
80% calculates total reduction discharge amount.Then it is formulated in the net region according to total discharge amount that reduces using maximum generating watt as target
Fired power generating unit startup-shutdown strategy.Meanwhile the wind according to the thermal power plant in adjacent mesh region at a distance from the grid, in combining environmental
To, wind speed, all possible machines influenced may be calculated to the unit that forecast grid haze has an impact by calculating in prediction period
Discharge amount of exhaust gas when group is completely sent out, and be target by reducing by 80% discharge amount and keeping maximum generating watt, it is adjacent to formulate the grid
Fired power generating unit startup-shutdown strategy in net region.
When for red early warning grade, it is all full to calculate all power plant units in the corresponding region of red early warning grade
Third discharge amount in the case of hair, wherein the third discharge amount in the case of the whole full hairs of all power plant units is according to corresponding area
The historical basis data of power plant units in domain are calculated.Target discharge amount zero is set (it should be noted that the present invention is simultaneously
The target discharge amount is not limited, can also adjust its specific value in a certain range, such as by its target discharge amount tune
10% when whole completely hairs whole for history).The region for being 3 for haze grade, all units in the net region are all controlled
In shutdown status, meanwhile, according to the thermal power plant of adjacent area at a distance from forecast grid, wind direction, wind speed in conjunction with forecasting wind speed,
The unit that forecast grid haze has an impact may be shut down by calculating in prediction period.
As the present embodiment preferred embodiment, this method further includes step, obtains the reality of haze monitoring station monitoring
When haze monitor value, according to haze monitor value optimize S1 in haze predicted value.In the present embodiment, according to meteorological numerical forecast mould
The meteorological numerical prediction such as future three days gas epidemic disasters, wind speed, precipitation that formula exports is as a result, in conjunction with current haze monitoring station
Real-time haze monitoring numerical value, final haze numerical prediction result is calculated.The method of COMPREHENSIVE CALCULATING and real-time monitoring obtains
To final haze numerical prediction as a result, available more accurate haze prediction result.
Embodiment 2
With above method embodiment correspondingly, the present embodiment provides it is a kind of based on haze prediction thermal power plant be switched on strategy
Optimization system including memory, processor and stores the computer program that can be run on a memory and on a processor, processing
The step of device realizes the above method when executing program.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (7)
- The policy optimization method 1. thermal power plant based on haze prediction is switched on, which comprises the following steps:S1: acquiring the historical basis data of region power plant units to be analyzed, and obtains the haze real-time monitoring in region to be analyzed Data and meteorological forecast data predict that region to be analyzed exists according to the haze Real-time Monitoring Data and the weather forecast data Haze predicted value in future setting number of days；S2: according to the haze predicted value by haze serious conditions according to by gently pre- to the haze for being divided at least three grades again It is alert；S4: calculating the target discharge amount of the haze early warning of each grade according to the historical basis data, is arranged according to the target High-volume determine the startup-shutdown quantity of thermal power plant in the corresponding grid of the grade.
- The policy optimization method 2. thermal power plant according to claim 1 based on haze prediction is switched on, which is characterized in that described After the completion of S2, the method also includes steps:S3: analyzed area is treated according to haze grade and carries out grid dividing, calculates the haze predicted value of some grid, is calculated in institute State the discharge amount of exhaust gas that may will affect the thermal power plant of haze predicted value of the grid in the following setting number of days.
- The policy optimization method 3. thermal power plant according to claim 2 based on haze prediction is switched on, which is characterized in that described In S4, when being that the haze early warning of each grade sets target discharge amount, set according to the discharge amount of exhaust gas.
- The policy optimization method 4. thermal power plant according to claim 1 based on haze prediction is switched on, which is characterized in that described In S2, the three grades is respectively yellow warning grade, orange warning grade and red early warning grade；When for yellow warning grade, calculating all power plant units in the corresponding region of yellow warning grade all expires heat The first discharge amount under condition sets target discharge amount as the 50% of first discharge amount；When for orange warning grade, calculating all power plant units in the corresponding region of orange warning grade all expires heat The second discharge amount under condition sets target discharge amount as the 80% of second discharge amount；When for red early warning grade, calculating all power plant units in the corresponding region of red early warning grade all expires heat Third discharge amount under condition sets target discharge amount zero.
- The policy optimization method 5. thermal power plant according to claim 1 based on haze prediction is switched on, which is characterized in that described Haze Real-time Monitoring Data is obtained by haze monitoring station, the weather forecast data include temperature, humidity, wind speed and Precipitation.
- The policy optimization method 6. thermal power plant according to claim 1 based on haze prediction is switched on, which is characterized in that described Historical basis data include thermal power plant's title, thermal power plant's longitude and latitude position, power plant units number of units, unit installed capacity, installation Utilization rate, unit SO2Emission factor and unit CO2One of emission factor or any several combination.
- The policy optimization system 7. a kind of thermal power plant based on haze prediction is switched on, including memory, processor and be stored in described On memory and the computer program that can run on the processor, which is characterized in that the processor executes described program The step of any one of Shi Shixian the claims 1-6 the method.
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Application publication date: 20190705 |