CN107732967A - A kind of optimal capacity determining methods of P2H for stabilizing wind-powered electricity generation fluctuation - Google Patents
A kind of optimal capacity determining methods of P2H for stabilizing wind-powered electricity generation fluctuation Download PDFInfo
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- 230000005611 electricity Effects 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000000087 stabilizing effect Effects 0.000 title claims abstract description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 114
- 238000005868 electrolysis reaction Methods 0.000 claims abstract description 28
- 239000001257 hydrogen Substances 0.000 claims abstract description 21
- 229910052739 hydrogen Inorganic materials 0.000 claims abstract description 21
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims abstract description 17
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 16
- 239000001301 oxygen Substances 0.000 claims abstract description 16
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 15
- 238000006243 chemical reaction Methods 0.000 claims abstract description 7
- 230000033228 biological regulation Effects 0.000 claims abstract description 4
- 230000008901 benefit Effects 0.000 claims abstract description 3
- 238000012423 maintenance Methods 0.000 claims description 10
- 230000005684 electric field Effects 0.000 claims description 8
- 150000002431 hydrogen Chemical class 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 238000013178 mathematical model Methods 0.000 claims description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 abstract description 12
- 239000003345 natural gas Substances 0.000 abstract description 6
- 238000002347 injection Methods 0.000 abstract description 3
- 239000007924 injection Substances 0.000 abstract description 3
- 230000009466 transformation Effects 0.000 abstract 1
- 239000007789 gas Substances 0.000 description 4
- 238000004146 energy storage Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000009776 industrial production Methods 0.000 description 2
- 230000001172 regenerating effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000002803 fossil fuel Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25B—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES FOR THE PRODUCTION OF COMPOUNDS OR NON-METALS; APPARATUS THEREFOR
- C25B1/00—Electrolytic production of inorganic compounds or non-metals
- C25B1/01—Products
- C25B1/02—Hydrogen or oxygen
- C25B1/04—Hydrogen or oxygen by electrolysis of water
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- 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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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/30—Hydrogen technology
- Y02E60/36—Hydrogen production from non-carbon containing sources, e.g. by water electrolysis
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- Y02P20/133—Renewable energy sources, e.g. sunlight
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a kind of optimal capacity determining methods of P2H for stabilizing wind-powered electricity generation fluctuation, this method is according to national grid wind power plant access electric power network technique regulation, including the requirement in terms of two time scales of 1 minute maximum power variation rate of wind-powered electricity generation and 10 minutes peak powers, using electrolytic water device for meet this require needs cut out wind power output progress electrolysis water, it can be industry or injection natural gas line that the wind energy transformation that will work without to be discarded, which is, by the cost of investment and operating cost of electrolysis water, considered with the income from sales of hydrogen and oxygen resulting after electrolysis water conversion, study the optimal capacity configuration of electrolytic water device, maximize the economic benefit of electrolytic water device, improve wind-powered electricity generation utilization ratio.The inventive method reduces intermittence and influence of the fluctuation to power network of wind power output, and unnecessary wind-powered electricity generation is converted into hydrogen by electrolytic water device to greatest extent, improves efficiency of energy utilization.
Description
Technical field
The present invention relates to a kind of optimal capacity determining methods of P2H for stabilizing wind-powered electricity generation fluctuation, and in particular to one kind determines application
Electricity turns hydrogen device and stabilizes the method that wind-powered electricity generation fluctuates optimal capacity, belongs to wind-electricity integration running technology field.
Background technology
The problems such as due to fossil energy crisis, climate change and serious environmental pollution, energy resource system need to turn to more
Direction with continuation.Extensive regenerative resource can successfully realize this target, but environmentally friendly energy resource system
The problem of being faced with sternness and challenge.Regenerative resource is random, intermittent, threatens the safety of energy resource system and steady
It is fixed.Energy storage device is most important for the stability and security for improving energy resource system.However, existing energy storage device can not be grown
Time, store on a large scale.In addition, fossil fuel, particularly hydrogen and natural gas, have the characteristic of extensive energy storage, in energy
Very important role will be play in the transfer process of source.Therefore, electricity turns device of air and arisen at the historic moment.It can be by the electric power of surplus
Hydrogen or natural gas are converted into, for industrial production or the existing natural gas network of injection and gas storage, can be improved natural
The service efficiency of gas infrastructure, avoid the increase of sunk cost.It can be improved in addition, electricity turns gas equipment by different mechanism
The flexibility of electric power and natural gas system.
The content of the invention
The technical problems to be solved by the invention are：A kind of optimal capacity determining methods of P2H for stabilizing wind-powered electricity generation fluctuation are provided,
Turn the electrolytic water device in gas using electricity to stabilize the output of wind power plant, meet the relevant wind-powered electricity generation online of State Grid Corporation of China
Technical standard, while the wind-powered electricity generation for being utilized as meeting online standard and can not networking carries out electrolysis water, converts wind energy into hydrogen use
In industrial production or injection natural gas line, efficiency of energy utilization is improved.
The present invention uses following technical scheme to solve above-mentioned technical problem：
A kind of optimal capacity determining methods of P2H for stabilizing wind-powered electricity generation fluctuation, comprise the following steps：
Step 1, the regulation of power network is accessed to wind power plant according to national grid, to the original output founding mathematical models of wind-powered electricity generation,
Judge that electrolytic water device needs the unnecessary wind power output dissolved according to mathematical modeling；
Step 2, consider the cost of investment, operating cost and electrolysis water income of electrolytic water device, electrolytic water device is put down
The optimal capacity of suppression wind-powered electricity generation fluctuation is modeled；Model is：
Maxf=Prev-Cinv-Copt
Wherein, PrevFor the income from sales of water-electrolyzing hydrogen and oxygen；CinvFor the cost of investment of electrolytic water device；CoptFor
The operating cost of electrolytic water device, including electric cost and operation expense；F is that electrolytic water device dissolves unnecessary wind power output
Income；
Step 3, consider the economy of electrolytic water device, establish the mathematical modulo of the income from sales of water-electrolyzing hydrogen and oxygen
Type；
Step 4, consider the relation between the cost of investment of electrolytic water device and the optimal capacity of electrolytic water device, establish electricity
Solve the mathematical modeling of the cost of investment of water installations；
Step 5, consider between the operation expense of electrolytic water device and the optimal capacity of electrolytic water device, electric cost
Relation, establish the mathematical modeling of the operating cost of electrolytic water device；
Step 6, the relational expression established between the specific investment cost cost of electrolytic water device and optimal capacity；
Step 7, the relational expression established between the operation maintenance coefficient of electrolytic water device and optimal capacity；
Step 8, the bound of the wind power output dissolved to electrolysis water at each moment enters row constraint；
Step 9, to the model obtained through step 2- steps 8, simulation analysis are carried out using matlab and lingo, it is determined that electric
Solution water installations stabilize the optimal capacity of wind-powered electricity generation fluctuation.
As a preferred embodiment of the present invention, mathematical modeling described in step 1 is as follows：
Pw.t=Pw.t.1_10+Pew.t+Pabn.t
Wherein, Pw.tIt is t without the original output of wind-powered electricity generation stabilized, Pw.t.1_10Meet national grid wind power plant for t
The output of wind electric field of access standard, Pw.t-1.1_10Meet the output of wind electric field of national grid wind power plant access standard for the t-1 moment,
Pew.tFor the wind power output of t electrolysis of water consumption, Pabn.tThe wind power output discarded for t, Δ P1_minFor in 1 minute
Wind power output fluctuates threshold limit value, Δ P10_minThreshold limit value is fluctuated for wind power output in 10 minutes, i is sampled point.
As a preferred embodiment of the present invention, the mathematical modulo of the income from sales of water-electrolyzing hydrogen and oxygen described in step 3
Type is as follows：
Wherein, PrevFor the income from sales of water-electrolyzing hydrogen and oxygen, η is the efficiency of electrolytic water device, Pew.tFor t
The electrical power of consumption,Respectively electric energy is converted to the conversion coefficient of hydrogen, oxygen,Respectively
The selling price of hydrogen, oxygen.
As a preferred embodiment of the present invention, the mathematical modeling of the cost of investment of electrolytic water device is as follows described in step 4：
Wherein, CinvFor the cost of investment of electrolytic water device, Cet_cFor the optimal capacity of electrolytic water device, Cost_PtH is
The specific investment cost cost of electrolytic water device, roFor interest rate, n is the service life of electrolytic water device, and τ is time conversion coefficient.
As a preferred embodiment of the present invention, the mathematical modeling of the operating cost of electrolytic water device is as follows described in step 5：
Wherein, CoptFor the operating cost of electrolytic water device, CinvFor the cost of investment of electrolytic water device, α fills for electrolysis water
The operation maintenance coefficient put, EpFor the unit electric cost of electrolytic water device, Pew.tFor the electrical power of t consumption.
As a preferred embodiment of the present invention, the specific investment cost cost of electrolytic water device described in step 6 and optimal capacity
Between relational expression it is as follows：
Cost_PtH=0.0468*Cet_c^4-3.3109*Cet_c^3
+54.8285*Cet_c^2-331.3499*Cet_c+1254.7
Wherein, Cost_PtH be electrolytic water device specific investment cost cost, Cet_cFor the optimal capacity of electrolytic water device.
As a preferred embodiment of the present invention, the operation maintenance coefficient and optimal capacity of electrolytic water device described in step 7
Between relational expression it is as follows：
Wherein, α be electrolytic water device operation maintenance coefficient, Cet_cFor the optimal capacity of electrolytic water device.
As a preferred embodiment of the present invention, the wind power output that is dissolved described in step 8 to electrolysis water at each moment
Bound to enter row constraint as follows：
0≤Pew.t≤min(Pw.t-Pw.t.1_10,Cet_c)
Wherein, Pew.tFor the electrical power of t consumption, Pw.tIt is t without the original output of wind-powered electricity generation stabilized, Pw.t.1_10
Meet the output of wind electric field of national grid wind power plant access standard, C for tet_cFor the optimal capacity of electrolytic water device.
The present invention compared with prior art, has following technique effect using above technical scheme：
The present invention is meeting the grid-connected requirement of wind power output from reality as defined in national grid wind power plant access technology
Wind energy utilization efficiency is improved simultaneously, maximizes the economic benefit of electrolytic water device, is laid the foundation for the development of energy internet, greatly
Wide electrolysis water consumption wind power output is pushed, reduces the use cost of electrolysis water.
Embodiment
Embodiments of the present invention are described below in detail, the embodiment is exemplary, is only used for explaining the present invention,
And it is not construed as limiting the claims.
The optimal capacity research methods of P2H of wind-powered electricity generation fluctuation are stabilized, are provided according to national grid wind power plant access electric power network technique,
Including the requirement in terms of two time scales of 1 minute maximum power variation rate of wind-powered electricity generation and 10 minutes peak powers, electrolysis water is utilized
Device specifically includes following steps to meet that this wind power output for requiring that needs are cut out carries out electrolysis water：
Step 1, the technical stipulation that national grid is accessed to power network to wind power plant are converted to mathematical modeling, correspond to 1 point respectively
Smoothly regulation smoothly provided 2 time scales to clock with 10 minutes, was first stabilized by 1 minute smoothness requirements, further in accordance with 10 minutes
Smoothness requirements are stabilized, and this stabilizes sequential for what wind-powered electricity generation was stabilized；
Pw.t=Pw.t.1_10+Pew.t+Pabn.t (1)
Pw.tIt is t without the original output of wind-powered electricity generation stabilized, Pw.t.1_10Meet the access of national grid wind power plant for t
The output of wind electric field of standard, Pw.t-1.1_10Meet the output of wind electric field of national grid wind power plant access standard, P for the t-1 momentew.t
For the wind power output of t electrolysis of water consumption, Pabn.tThe wind-powered electricity generation discarded for t, Δ P1_minFor 1 minute wind power output
Fluctuate threshold limit value, Δ P10_minThreshold limit value is fluctuated for wind power output in 10 minutes, i is sampled point.
Step 2, on the basis of step 1, to wind power output Pw.t-Pw.t.1_10Dissolved, meeting electrolysis water economy
Under optimal target so that Pew.tIt is as big as possible, Pabn.tIt is as small as possible.Consider electrolytic water device cost of investment, operation into
This (mainly including electric cost and operation expense) and electrolysis water income, wind-powered electricity generation fluctuation is stabilized to electrolytic water device most
Beutiful face amount is modeled.Object function is the income from sales P of water-electrolyzing hydrogen and oxygenrevSubtract the investment of electrolytic water device into
This Cinv, subtracting the operating cost C of electrolytic water deviceopt：
Maxf=Prev-Cinv-Copt (4)
Step 3, the economy of electrolytic water device is studied, establish the mathematical modeling of electrolytic water device income：
η turns the efficiency of device of air, P for electricityew.tThe electrical power dissolved for t,WithRepresent respectively and turn electric energy
The conversion coefficient of hydrogen and oxygen is changed to,WithThe respectively selling price of hydrogen and oxygen.
Step 4, the relation between the cost of investment of electrolytic water device and the installed capacity of electrolytic water device is studied, established
The mathematical modeling of electrolytic water device cost of investment：
Cet_cFor the optimal installed capacity of electrolytic water device, Cost_PtH is the specific investment cost cost of electrolytic water device, roFor
Interest rate, n are the service life of device, and τ is time conversion coefficient.
Step 5, the pass between the installed capacity of operation expense and electrolytic water device to electrolysis water, electric cost
System is studied, and establishes the mathematical modeling of the operating cost of electrolytic water device：
α % are the operation maintenance coefficient of electrolytic water device, and it has non-linear relation, E with installed capacitypFor the list of device
Position electric cost.
Step 6, the mathematical modeling established between the specific investment cost cost of electrolytic water device and optimal installed capacity：
Step 7, the mathematical modeling established between the operation maintenance coefficient of electrolytic water device and optimal installed capacity：
Step 8, it is optimal to the economy of electrolysis water to determine that the constraints of the optimal installed capacity of electrolysis water is entered for target
The bound for the wind-powered electricity generation that row mathematical modeling, i.e. electrolysis water are dissolved in each period enters row constraint：
0≤Pew.t≤min(Pw.t-Pw.t.1_10,Cet_c) (10)
Step 9, simulation analysis are carried out to above-mentioned model, it is determined that the optimal peace of electrolytic water device (P2H) in actual applications
Dressing method for determination of amount.
The technological thought of above example only to illustrate the invention, it is impossible to protection scope of the present invention is limited with this, it is every
According to technological thought proposed by the present invention, any change done on the basis of technical scheme, the scope of the present invention is each fallen within
Within.
Claims (8)
1. a kind of optimal capacity determining methods of P2H for stabilizing wind-powered electricity generation fluctuation, it is characterised in that comprise the following steps：
Step 1, the regulation of power network is accessed to wind power plant according to national grid, to the original output founding mathematical models of wind-powered electricity generation, according to
Mathematical modeling judges that electrolytic water device needs the unnecessary wind power output dissolved；
Step 2, consider the cost of investment, operating cost and electrolysis water income of electrolytic water device, wind is stabilized to electrolytic water device
The optimal capacity of electro-mechanical wave is modeled；Model is：
Maxf=Prev-Cinv-Copt
Wherein, PrevFor the income from sales of water-electrolyzing hydrogen and oxygen；CinvFor the cost of investment of electrolytic water device；CoptFor electrolysis
The operating cost of water installations, including electric cost and operation expense；F is the receipts that electrolytic water device dissolves unnecessary wind power output
Benefit；
Step 3, consider the economy of electrolytic water device, establish the mathematical modeling of the income from sales of water-electrolyzing hydrogen and oxygen；
Step 4, consider the relation between the cost of investment of electrolytic water device and the optimal capacity of electrolytic water device, establish electrolysis water
The mathematical modeling of the cost of investment of device；
Step 5, the pass between the operation expense of electrolytic water device and the optimal capacity of electrolytic water device, electric cost is considered
System, establish the mathematical modeling of the operating cost of electrolytic water device；
Step 6, the relational expression established between the specific investment cost cost of electrolytic water device and optimal capacity；
Step 7, the relational expression established between the operation maintenance coefficient of electrolytic water device and optimal capacity；
Step 8, the bound of the wind power output dissolved to electrolysis water at each moment enters row constraint；
Step 9, to the model obtained through step 2- steps 8, simulation analysis is carried out using matlab and lingo, determine electrolysis water
Device stabilizes the optimal capacity of wind-powered electricity generation fluctuation.
2. the optimal capacity determining methods of P2H of wind-powered electricity generation fluctuation are stabilized according to claim 1, it is characterised in that described in step 1
Mathematical modeling is as follows：
Pw.t=Pw.t.1_10+Pew.t+Pabn.t
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Wherein, Pw.tIt is t without the original output of wind-powered electricity generation stabilized, Pw.t.1_10Meet the access of national grid wind power plant for t
The output of wind electric field of standard, Pw.t-1.1_10Meet the output of wind electric field of national grid wind power plant access standard, P for the t-1 momentew.t
For the wind power output of t electrolysis of water consumption, Pabn.tThe wind power output discarded for t, Δ P1_minFor wind in 1 minute
Electricity goes out fluctuation threshold limit value, Δ P10_minThreshold limit value is fluctuated for wind power output in 10 minutes, i is sampled point.
3. the optimal capacity determining methods of P2H of wind-powered electricity generation fluctuation are stabilized according to claim 1, it is characterised in that described in step 3
The mathematical modeling of the income from sales of water-electrolyzing hydrogen and oxygen is as follows：
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<mo>&times;</mo>
<msub>
<mi>R</mi>
<mrow>
<mi>s</mi>
<mi>e</mi>
<mi>l</mi>
<mi>l</mi>
<mo>.</mo>
<msub>
<mi>H</mi>
<mn>2</mn>
</msub>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>&lambda;</mi>
<mrow>
<mi>e</mi>
<mo>_</mo>
<msub>
<mi>O</mi>
<mn>2</mn>
</msub>
</mrow>
</msub>
<mo>&times;</mo>
<msub>
<mi>R</mi>
<mrow>
<mi>s</mi>
<mi>e</mi>
<mi>l</mi>
<mi>l</mi>
<mo>.</mo>
<msub>
<mi>O</mi>
<mn>2</mn>
</msub>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
Wherein, PrevFor the income from sales of water-electrolyzing hydrogen and oxygen, η is the efficiency of electrolytic water device, Pew.tFor t consumption
Electrical power,Respectively electric energy is converted to the conversion coefficient of hydrogen, oxygen,Respectively hydrogen,
The selling price of oxygen.
4. the optimal capacity determining methods of P2H of wind-powered electricity generation fluctuation are stabilized according to claim 1, it is characterised in that described in step 4
The mathematical modeling of the cost of investment of electrolytic water device is as follows：
<mrow>
<msub>
<mi>C</mi>
<mrow>
<mi>i</mi>
<mi>n</mi>
<mi>v</mi>
</mrow>
</msub>
<mo>=</mo>
<msub>
<mi>C</mi>
<mrow>
<mi>e</mi>
<mi>t</mi>
<mo>_</mo>
<mi>c</mi>
</mrow>
</msub>
<mo>&times;</mo>
<mi>C</mi>
<mi>o</mi>
<mi>s</mi>
<mi>t</mi>
<mo>_</mo>
<mi>P</mi>
<mi>t</mi>
<mi>H</mi>
<mo>&times;</mo>
<mfrac>
<mrow>
<msub>
<mi>r</mi>
<mi>o</mi>
</msub>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<msub>
<mi>r</mi>
<mi>o</mi>
</msub>
<mo>)</mo>
</mrow>
<mi>n</mi>
</msup>
</mrow>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<msub>
<mi>r</mi>
<mi>o</mi>
</msub>
<mo>)</mo>
</mrow>
<mi>n</mi>
</msup>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mfrac>
<mo>&times;</mo>
<mi>&tau;</mi>
</mrow>
Wherein, CinvFor the cost of investment of electrolytic water device, Cet_cFor the optimal capacity of electrolytic water device, Cost_PtH is electrolysis water
The specific investment cost cost of device, roFor interest rate, n is the service life of electrolytic water device, and τ is time conversion coefficient.
5. the optimal capacity determining methods of P2H of wind-powered electricity generation fluctuation are stabilized according to claim 1, it is characterised in that described in step 5
The mathematical modeling of the operating cost of electrolytic water device is as follows：
<mrow>
<msub>
<mi>C</mi>
<mrow>
<mi>o</mi>
<mi>p</mi>
<mi>t</mi>
</mrow>
</msub>
<mo>=</mo>
<msub>
<mi>C</mi>
<mrow>
<mi>i</mi>
<mi>n</mi>
<mi>v</mi>
</mrow>
</msub>
<mo>&times;</mo>
<mi>&alpha;</mi>
<mi>%</mi>
<mo>+</mo>
<msub>
<mi>E</mi>
<mi>p</mi>
</msub>
<mo>&times;</mo>
<munder>
<mo>&Integral;</mo>
<mi>t</mi>
</munder>
<msub>
<mi>P</mi>
<mrow>
<mi>e</mi>
<mi>w</mi>
<mo>.</mo>
<mi>t</mi>
</mrow>
</msub>
<mi>d</mi>
<mi>t</mi>
</mrow>
Wherein, CoptFor the operating cost of electrolytic water device, CinvFor the cost of investment of electrolytic water device, α is electrolytic water device
Operation maintenance coefficient, EpFor the unit electric cost of electrolytic water device, Pew.tFor the electrical power of t consumption.
6. the optimal capacity determining methods of P2H of wind-powered electricity generation fluctuation are stabilized according to claim 1, it is characterised in that described in step 6
Relational expression between the specific investment cost cost of electrolytic water device and optimal capacity is as follows：
Cost_PtH=0.0468*Cet_c^4-3.3109*Cet_c^3+54.8285*Cet_c^2-331.3499*Cet_c+1254.7
Wherein, Cost_PtH be electrolytic water device specific investment cost cost, Cet_cFor the optimal capacity of electrolytic water device.
7. the optimal capacity determining methods of P2H of wind-powered electricity generation fluctuation are stabilized according to claim 1, it is characterised in that described in step 7
Relational expression between the operation maintenance coefficient and optimal capacity of electrolytic water device is as follows：
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mi>&alpha;</mi>
<mo>=</mo>
<mo>-</mo>
<mn>0.7</mn>
<msub>
<mi>C</mi>
<mrow>
<mi>e</mi>
<mi>t</mi>
<mo>_</mo>
<mi>c</mi>
</mrow>
</msub>
<mo>+</mo>
<mn>5.7</mn>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>&le;</mo>
<msub>
<mi>C</mi>
<mrow>
<mi>e</mi>
<mi>t</mi>
<mo>_</mo>
<mi>c</mi>
</mrow>
</msub>
<mo>&le;</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&alpha;</mi>
<mo>=</mo>
<mo>-</mo>
<mn>0.0233</mn>
<msub>
<mi>C</mi>
<mrow>
<mi>e</mi>
<mi>t</mi>
<mo>_</mo>
<mi>c</mi>
</mrow>
</msub>
<mo>+</mo>
<mn>2.317</mn>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo><</mo>
<msub>
<mi>C</mi>
<mrow>
<mi>e</mi>
<mi>t</mi>
<mo>_</mo>
<mi>c</mi>
</mrow>
</msub>
<mo>&le;</mo>
<mn>20</mn>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&alpha;</mi>
<mo>=</mo>
<mo>-</mo>
<mn>0.003</mn>
<msub>
<mi>C</mi>
<mrow>
<mi>e</mi>
<mi>t</mi>
<mo>_</mo>
<mi>c</mi>
</mrow>
</msub>
<mo>+</mo>
<mn>1.91</mn>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mn>20</mn>
<mo><</mo>
<msub>
<mi>C</mi>
<mrow>
<mi>e</mi>
<mi>t</mi>
<mo>_</mo>
<mi>c</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein, α be electrolytic water device operation maintenance coefficient, Cet_cFor the optimal capacity of electrolytic water device.
8. the optimal capacity determining methods of P2H of wind-powered electricity generation fluctuation are stabilized according to claim 1, it is characterised in that described in step 8
It is as follows that the bound of the wind power output dissolved to electrolysis water at each moment enters row constraint：
0≤Pew.t≤min(Pw.t-Pw.t.1_10,Cet_c)
Wherein, Pew.tFor the electrical power of t consumption, Pw.tIt is t without the original output of wind-powered electricity generation stabilized, Pw.t.1_10For t when
Carve the output of wind electric field for meeting national grid wind power plant access standard, Cet_cFor the optimal capacity of electrolytic water device.
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| CN103346562A (en) * | 2013-07-11 | 2013-10-09 | 江苏省电力设计院 | Multi-time scale microgrid energy control method considering demand response |
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| CN103346562A (en) * | 2013-07-11 | 2013-10-09 | 江苏省电力设计院 | Multi-time scale microgrid energy control method considering demand response |
| CN106684915A (en) * | 2017-01-12 | 2017-05-17 | 国家电网公司 | Wind-hydrogen coupling power generation system optimization method and device thereof |
| CN106786764A (en) * | 2017-01-13 | 2017-05-31 | 东北电力大学 | A kind of utilization hydrogen generating system wind-powered electricity generation of dissolving abandons the hydrogen manufacturing capacity configuration optimizing method of wind |
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