CN108167916A - One kind abandons wind and extensive electric heat accumulation coordinated operation method - Google Patents
One kind abandons wind and extensive electric heat accumulation coordinated operation method Download PDFInfo
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- CN108167916A CN108167916A CN201711138893.6A CN201711138893A CN108167916A CN 108167916 A CN108167916 A CN 108167916A CN 201711138893 A CN201711138893 A CN 201711138893A CN 108167916 A CN108167916 A CN 108167916A
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D11/00—Central heating systems using heat accumulated in storage masses
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
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- H02J3/386—
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/70—Hybrid systems, e.g. uninterruptible or back-up power supplies integrating renewable energies
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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Abstract
The invention discloses one kind to abandon wind and extensive electric heat accumulation coordinated operation method, belong to electrical engineering field, for the advantage of electric heat accumulation, it is combined with hardware system, it pair is monitored and records with the electric relevant each item data of heat accumulation, and according to the important parameters such as electric boiler environment temperature, electric boiler electric conversion efficiency are calculated, and then structure abandons wind and calculates function with extensive electric heat accumulation coordinated operation parameter, so as to differentiate the consumption effect of electric heat accumulation reality and the related quantity of heat storage of calculating.The purpose for the problems such as nowadays invention is compensated in the deficiency in coordinated operation method field, reached using electric heat accumulation, and consumption abandons wind and coordinates electricity determining by heat, has huge actuality and economy.
Description
Technical field
The invention belongs to electrical engineering fields, and wind and extensive electric heat accumulation operation method are abandoned more particularly to one kind.
Technical background
With the increase year by year of wind-electricity integration scale, wind-powered electricity generation wind-abandoning phenomenon is increasingly severe.Current generate abandons the main of wind
Reason is that heating period causes peak-load regulating ability drastically to decline to cogeneration units due to heating in winter.Obviously, if can drop
Higher caused by " electricity determining by heat " of low cogeneration units forces output, you can the online space of wind-powered electricity generation is significantly improved,
Wind-powered electricity generation is greatly decreased and abandons wind.It abandons wind due to installing electric boiler consumption additional in mains side and load side and can both improve low-valley interval
Power load can reduce the output of forcing of cogeneration units itself again, alleviate power grid peak valley contradiction and heat supply peak pressure,
The renewable energy utilizations rates such as wind-powered electricity generation are improved, to improving city atmospheric environment, with apparent application potential and important meaning
Justice.
Prior art research:
The prior art one:Consumption wind-powered electricity generation program analysis is carried out, but be disadvantageous in that by installing electric boiler in steam power plant
The research of consumption wind-powered electricity generation is only carried out from mains side, the calculating of the consumption wind-powered electricity generation of load side is not designed;
The prior art two:By heat-storing device mains side and load side analysis on Operating, abandon between wind and heat accumulation
Coordinated scheduling is disadvantageous in that during coordinated operation the specific calculating of quantity of heat storage how is realized for it, not clear and definite
Computational methods.And the research of above method biases toward theory.
Invention content:
The present invention goal in research be:
For above deficiency, the present invention, which establishes, abandons wind and electric heat accumulation coordinated operation method, makes full use of the advantage of electric heat accumulation,
Realize the consumption to abandoning wind-powered electricity generation amount, solution the problems such as abandoning wind provides a good method support.The present invention and hardware
It is combined, realization theory is combined with hardware system.The mode of realization forms coordinated operation system by hardware module, according to number
The relevant parameter of electric heat accumulation is acquired according to acquisition module, then collected data calculate by data computation module every
Parameter simultaneously screens corresponding data available, is then realized by data processing module to the differentiation of heat accumulation state and quantity of heat storage
It calculates;Finally by data disaply moudle, specific heat accumulation data etc. are shown.
To achieve these goals, in view of the deficiencies of the prior art, the present invention provides one kind and abandons wind and extensive electricity
Heat accumulation coordinated operation method.
Technical solution:
Technical scheme is as follows:
Step 1:Acquisition module carries out the acquisition of data
Selecting All Parameters:Electric boiler heat accumulation efficiency eta1, electric boiler electric conversion efficiency β, the temperature of environment where electric heat reservoir
T, electric boiler quantity n are spent, average distance d, the output power P of electric boiler are spaced between each electric boilerc, air quantity P (t) is abandoned, it is specific
Historical period abandons air quantity maximum value Pwmax, the particular historical period abandons air quantity minimum value Pwmin, PcminMinimum heat accumulation for heat-storing device
Power, PcmaxMaximum heat accumulation power for heat-storing device.
Step 2:Electric boiler environment temperature, electric boiler electric conversion efficiency data input data computing module, pass through module
Interior function calculates, and realizes the screening to corresponding data;
Step 2.1 electric boiler ambient temperature level function, electric boiler electric conversion efficiency canonical function are established and are calculated.It builds
Vertical electric boiler ambient temperature level function f (x), electric boiler electric conversion efficiency canonical function g (x) are:
Wherein, x is the number of all electric boilers in system, and x=1,2,3 ... ..., k, k is natural number.
Step 2.2 electric boiler environment temperature array is built:
Several data T are randomly selected from the temperature for measuring gained1,T2,...,TiForm an array φ [i], TiIt represents
Ith measurement data,
Step 2.3:Electric boiler environment temperature array determines:
Array φ [i] is extracted as the similarity factor α >=59.34% of function phi [i] and f (x), after this array is as processing
Data.
Step 2.4:Electric boiler electric conversion efficiency array determines:
Several data β are randomly selected from the corresponding i data of φ [i]1,β2,....,βjForm an arrayTable
Show j-th of measurement data, work as functionWith extracting array during the similarity factor α of g (x) >=68.45%This array conduct
Data that treated.
Step 3:Data computation module realizes that electric heat accumulation coordinated operation affecting parameters calculate
Step 3.1:The coordinated operation external parameter for abandoning wind and extensive electric heat accumulation calculates
The coordinated operation external parameter for abandoning wind and extensive electric heat accumulation is calculated according to the following formula:
Wherein, δ (t) is to abandon wind and the external parameter of extensive electric heat accumulation coordinated operation, i=1,2 ..., n, TiFor step
2.3 treated data, n are electric boiler number, TmaxThe maximum temperature of environment, T where electric heat reservoirminFor electric heat accumulation system
The minimum temperature of environment, d are spaced average distance between each electric boiler where system.
Step 3.2:The coordinated operation inner parameter for abandoning wind and extensive electric heat accumulation calculates
γ (t) is to abandon wind and the external parameter of extensive electric heat accumulation coordinated operation, PgiRepresent the output work of i-th of electric boiler
Rate, i=0,1,2.....n.
Step 4:Data processing module carries out electric heat accumulation condition discrimination
ρ (t) is electric heat accumulation condition discrimination function, and for P (t) to abandon air quantity, d is spaced average distance, T between each electric boilermax
The maximum temperature of environment where electric heat reservoir, δ are the coordinated operation external parameter for abandoning wind and extensive electric heat accumulation, and γ is abandons
Wind and the coordinated operation inner parameter of extensive electric energy storage.
If acquire state judgement factor-alpha>0, then it can determine that electric heat accumulation is in heat accumulation state;, α<0 can determine that electric heat accumulation not
In heat accumulation state.
Step 5:The coordinated operation quantity of heat storage that data processing module abandon wind and extensive electric heat accumulation calculates
By obtained electric heat accumulation condition discrimination function alpha (t), the coordinated operation inner parameter of wind and extensive electric heat accumulation is abandoned
γ abandons the coordinated operation external parameter δ of wind and electric heat accumulation on a large scale, brings the coordinated operation electricity storage for abandoning wind and extensive electric heat accumulation into
Thermal mathematic model solves PstThat is electric boiler quantity of heat storage.
Step 6:The electric heat accumulation operating status of data disaply moudle display, quantity of heat storage.
Advantageous effect
The present invention is combined for the advantage of electric heat accumulation with hardware system.It pair is carried out with the relevant each item data of electric heat accumulation
Monitoring and record, and according to important parameters such as calculating electric boiler environment temperature, electric boiler electric conversion efficiencies, and then build and abandon wind
Function is calculated with extensive electric heat accumulation coordinated operation parameter.So as to differentiate the consumption effect of electric heat accumulation reality and calculate related
Quantity of heat storage.Nowadays the invention is compensated in the deficiency in coordinated operation method field, reached using electric heat accumulation, wind and coordination are abandoned in consumption
The purpose of the problems such as electricity determining by heat has huge actuality and economy.
Description of the drawings
Fig. 1 is a kind of coordinated operation method flow diagram for abandoning wind and extensive electric heat accumulation of the present invention.
Specific implementation method
As shown in Figure 1, a kind of coordinated operation method flow for abandoning wind and extensive electric heat accumulation.
It is acquired according to data acquisition module pair and the electric relevant each item data of heat accumulation, to electric boiler environment temperature therein
Degree, electric boiler electric conversion efficiency data carry out data screening, and respectively to two item datas into rower by data computation module
Quasi-function is established and is calculated, and carries out the structure of related array with determining.
On this basis, carrying out electric heat accumulation coordinated operation by data computation module influences external parameter and inner parameter
It calculates, so as to judge electric heat accumulation operating status with data processing module, i.e., whether in heat accumulation state, if satisfied, then illustrate, it should
Method is applicable in;And electric quantity of heat storage is calculated, show current heat accumulation state and quantity of heat storage finally by data disaply moudle.
For abandoning the serious somewhere of wind and abandon wind data, the operating status in its large-scale energy storage system January is calculated:
Verify the correctness proposed by the present invention for abandoning wind and extensive electric heat accumulation coordinated operation method.
Step 1:Data acquisition module carries out data acquisition
The moon abandons air quantity as 2687.1MW.h, the particular historical period abandon the most large and small value of air quantity be 2708.2MW.h,
2598.5MW.h.Electric boiler storing up heat efficiency is 98.14%, electric boiler 4x21MW, and every electric boiler maximum heat accumulation power is
20.79MW, minimum heat accumulation power is -1.6 DEG C of the distance between 19.9MW, electric boiler environment mean temperature, between electric boiler
Distance is 6m.
Temperature T, the electric conversion efficiency β of environment where each electric boiler in electric heat reservoir
Step 2:Electric boiler environment temperature, electric boiler electric conversion efficiency data input data computing module, pass through module
Interior function calculates, and realizes the screening to corresponding data;
Step 2.1 electric boiler ambient temperature level function, electric boiler electric conversion efficiency are established and electric boiler is established in calculating
Ambient temperature level function f (x), electric boiler electric conversion efficiency canonical function g (x) are:
Wherein, numbers of the x for all electric boilers in power grid, x=1,2,3 ... ..., 50.
Step 2.2 electric boiler environment temperature array is built:
Several data T are randomly selected from the temperature for measuring gained1,T2,...,TiForm an array φ [i], TiIt represents
Ith measurement data,
Step 2.3:Electric boiler environment temperature array determines:
Calculate the similarity factor of φ [i] and f (x):
The φ (40) being calculated by selection=- 1.4 DEG C, -1.6 DEG C ..., the similar system of -1.5 DEG C of and function f (x)
Number α=63.65%, meets α >=59.34%, then this array calculates for coordinated operation.
Step 2.4:Electric boiler electric conversion efficiency array determines:
Several data β are randomly selected from corresponding 50 data of φ (40)1,β2,....,βjForm an array
Represent j-th of measurement data,
It is calculated by selectionThe similarity factor α of and function g (x) >=
73.34% meets α >=68.45%, this array calculates for coordinated operation.
Step 3:Data computation module realizes that electric heat accumulation coordinated operation affecting parameters calculate
Step 3.1:The coordinated operation external parameter for abandoning wind and extensive electric heat accumulation calculates
The coordinated operation external parameter for abandoning wind and extensive electric heat accumulation is calculated according to the following formula:
Ti=-1.4 DEG C, -1.6 DEG C ..., -1.5 DEG C are step 2.3 treated data, and n=50 is electric boiler number,
Tmax=-1.0 DEG C of maximum temperatures for environment where electric heat reservoir, Tmin=-2.1 DEG C are battery heat reservoir institute
In the minimum temperature of environment, d=8m is spaced average distance between each electric boiler, by each data substitute into above formula, calculate δ=
2.2675。
Step 3.2:The coordinated operation inner parameter for abandoning wind and extensive electric heat accumulation calculates
γ is to abandon wind and on a large scale the coordinated operation inner parameter of electric heat accumulation, β=99.0%, 99.1% ... 99.0% is
Step 2.4 treated data, calculate to obtain γ=2.1895.
Step 4:Data processing module carries out electric heat accumulation condition discrimination
It brings the same day corresponding air quantity P (t) that abandons into electric heat accumulation condition discrimination functions, calculates to obtain the < 0 of α (t)=- 5.34542,
Show that electric heat accumulation is in heat accumulation state.
Step 5:The coordinated operation quantity of heat storage that data processing module abandon wind and extensive electric heat accumulation calculates
The above data that calculate are substituted into above formula, acquire electric heat accumulation power Pst=2021.5MWh.
Step 6:The electric heat accumulation operating status of data disaply moudle display, quantity of heat storage
These are only the embodiment of the present invention, be not intended to restrict the invention, therefore, it is all the present invention spirit and
Within principle, any modification, equivalent substitution, improvement and etc. done should be included within scope of the presently claimed invention.
Claims (5)
1. one kind abandons wind and extensive electric heat accumulation coordinated operation method, which is characterized in that this method includes following 6 steps:Step
Rapid 1. acquisition module carries out data acquisition, and gathered data includes electric boiler heat accumulation efficiency eta1, electric boiler electric conversion efficiency β, electricity
The temperature T of environment where heat reservoir, electric boiler quantity n are spaced average distance d, the output work of electric boiler between each electric boiler
Rate Pc, air quantity P (t) is abandoned, the particular historical period abandons air quantity maximum value Pwmax, the particular historical period abandons air quantity minimum value Pwmin, Pcmin
Minimum heat accumulation power, P for heat-storing devicecmaxMaximum heat accumulation power for heat-storing device;Step 2. electric boiler environment temperature, electricity
Boiler electric conversion efficiency data input data computing module is calculated by the function in module, realizes the sieve to corresponding data
Choosing;Step 3. data computation module realizes that electric heat accumulation coordinated operation affecting parameters calculate;Step 4. data processing module carries out electricity
Heat accumulation condition discrimination;The coordinated operation quantity of heat storage that step 5. data processing module abandon wind and extensive electric heat accumulation calculates;Step
Rapid 6. data disaply moudle display electricity heat accumulation operating status, quantity of heat storage.
2. according to claim 1, one kind abandons wind and extensive electric heat accumulation coordinated operation method, which is characterized in that step 2
Include 4 steps, wherein, step 2.1 electric boiler ambient temperature level function, electric boiler electric conversion efficiency canonical function are built
Vertical and calculating;Electric boiler ambient temperature level function f (x) is established, electric boiler electric conversion efficiency canonical function g (x) is:
Wherein, x is the number of all electric boilers in system, and x=1,2,3 ... ..., k, k is natural number;Step 2.2 grill pan ring
Border temperature array structure:
Several data T are randomly selected from the temperature for measuring gained1,T2,...,TiForm an array φ [i], TiIt represents i-th
Measurement data;
Step 2.3:Electric boiler environment temperature array determines:
Extract array φ [i] as the similarity factor α >=59.34% of function phi [i] and f (x), this array is as treated number
According to;
Step 2.4:Electric boiler electric conversion efficiency array determines:
Several data β are randomly selected from the corresponding i data of φ [i]1,β2,....,βjForm an arrayShow jth
A measurement data, works as functionWith extracting array during the similarity factor α of g (x) >=68.45%This array is as processing
Data afterwards.
3. according to claim 1, one kind abandons wind and extensive electric heat accumulation coordinated operation method, which is characterized in that the hair
Bright step 3 includes 2 steps, wherein, step 3.1:The coordinated operation external parameter for abandoning wind and extensive electric heat accumulation calculates, root
The coordinated operation external parameter of wind and extensive electric heat accumulation is abandoned according to following formula calculating:
δ (t) is to abandon wind and the external parameter of extensive electric heat accumulation coordinated operation, i=1,2 ..., n, TiAfter step 2.3 processing
Data, n be electric boiler number, TmaxThe maximum temperature of environment, T where electric heat reservoirminThe ring where electric heat reservoir
The minimum temperature in border, d are spaced average distance between each electric boiler;
Step 3.2:The coordinated operation inner parameter for abandoning wind and extensive electric heat accumulation calculates
γ (t) is to abandon wind and the external parameter of extensive electric heat accumulation coordinated operation, PgiRepresent the output power of i-th of electric boiler, i
=0,1,2.....n.
4. according to claim 1, one kind abandons wind and extensive electric heat accumulation coordinated operation method, which is characterized in that the party
Distinguishing rule in method step 4,
ρ (t) is electric heat accumulation condition discrimination function, and for P (t) to abandon air quantity, d is spaced average distance, T between each electric boilermaxFor electricity
The maximum temperature of environment where heat reservoir, δ are the coordinated operation external parameter for abandoning wind and extensive electric heat accumulation, γ for abandon wind with
The coordinated operation inner parameter of extensive electricity energy storage, if acquiring state judgement factor-alpha>0, then it can determine that electric heat accumulation is in heat accumulation shape
State;α<0 can determine that electric heat accumulation is not in heat accumulation state.
5. according to claim 1, one kind abandons wind and extensive electric heat accumulation coordinated operation method, which is characterized in that the party
Method step 5 data processing module carries out abandoning wind and the coordinated operation quantity of heat storage calculating particular content of extensive electric heat accumulation is as follows:
By obtained electric heat accumulation condition discrimination function alpha (t), the coordinated operation inner parameter γ of wind and extensive electric heat accumulation is abandoned,
The coordinated operation external parameter δ of wind and extensive electric heat accumulation is abandoned, brings the coordinated operation electricity heat accumulation for abandoning wind and extensive electric heat accumulation into
Mathematical model solves PstThat is electric boiler quantity of heat storage.
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CN109461097A (en) * | 2018-11-15 | 2019-03-12 | 东北大学 | A kind of electric heating association system dispatching method based on additional heating source consumption abandonment |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130274945A1 (en) * | 2012-04-12 | 2013-10-17 | Universiti Brunei Darussalam | Plug arrangements for alleviating peak loads |
JP2016171632A (en) * | 2015-03-11 | 2016-09-23 | パナソニックIpマネジメント株式会社 | Feeding adjustment apparatus, feeding adjustment method and program |
CN107039990A (en) * | 2017-06-14 | 2017-08-11 | 哈尔滨工业大学 | A kind of multi-heat source coordinated scheduling policy development method for improving wind electricity digestion capability |
CN107341593A (en) * | 2017-06-19 | 2017-11-10 | 东北电力大学 | A kind of electric heating integrated system based on scene partitioning abandons wind consumption coordinative dispatching model |
-
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- 2017-11-16 CN CN201711138893.6A patent/CN108167916B/en active Active
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130274945A1 (en) * | 2012-04-12 | 2013-10-17 | Universiti Brunei Darussalam | Plug arrangements for alleviating peak loads |
JP2016171632A (en) * | 2015-03-11 | 2016-09-23 | パナソニックIpマネジメント株式会社 | Feeding adjustment apparatus, feeding adjustment method and program |
CN107039990A (en) * | 2017-06-14 | 2017-08-11 | 哈尔滨工业大学 | A kind of multi-heat source coordinated scheduling policy development method for improving wind electricity digestion capability |
CN107341593A (en) * | 2017-06-19 | 2017-11-10 | 东北电力大学 | A kind of electric heating integrated system based on scene partitioning abandons wind consumption coordinative dispatching model |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109461097A (en) * | 2018-11-15 | 2019-03-12 | 东北大学 | A kind of electric heating association system dispatching method based on additional heating source consumption abandonment |
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