CN108336765A - A kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method - Google Patents
A kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method Download PDFInfo
- Publication number
- CN108336765A CN108336765A CN201810053741.4A CN201810053741A CN108336765A CN 108336765 A CN108336765 A CN 108336765A CN 201810053741 A CN201810053741 A CN 201810053741A CN 108336765 A CN108336765 A CN 108336765A
- Authority
- CN
- China
- Prior art keywords
- wind
- thermal
- opto
- power
- csp
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000005457 optimization Methods 0.000 title claims abstract description 15
- 238000010248 power generation Methods 0.000 claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000004064 recycling Methods 0.000 claims 1
- 238000011161 development Methods 0.000 abstract description 3
- 230000018109 developmental process Effects 0.000 abstract description 3
- 238000013178 mathematical model Methods 0.000 abstract description 2
- 238000000205 computational method Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005338 heat storage Methods 0.000 description 1
- 230000001172 regenerating effect Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
Classifications
-
- 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
-
- H02J3/382—
-
- H02J3/386—
-
- 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
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Wind Motors (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
The invention discloses a kind of wind-power electricity generations and solar-thermal generating system capacity ratio optimization method, for solving the problems, such as that wind-power electricity generation is distributed rationally with solar-thermal generating system capacity, it passes through combined generating system mathematical modeling, setting optimization aim and rule, computational methods are distributed rationally based on what Matlab platform developments went out, a. is by obtaining annual air speed data, system generates electricity target data, system constraints data；B. according to combined generating system mathematical model, wind-force generated output and photo-thermal power generation power data in initial electricity generation system per hour are calculated；C. calculating stability bandwidth is carried out according to setting Prescribed Properties, desired value and the principle of optimality；D. with the step-size change wind generator system of setting and the capacity of solar-thermal generating system, step b and c are repeated；Stop calculating when finding out stability bandwidth minimum, exports wind power system capacity and solar-thermal generating system capacity and its ratio；The present invention can realize that wind-power electricity generation and solar-thermal generating system combine distributing rationally for capacity under fluctuation minimum.
Description
Technical field
The present invention relates to a kind of wind-power electricity generations and solar-thermal generating system capacity ratio optimization method, belong to different renewable
Energy mixing utilizes field.
Background technology
The two kinds of forms of wind-power electricity generation and photo-thermal power generation as renewable energy utilization can provide cleaning without dirt for people
The green electric power supply of dye.
Currently, wind-power electricity generation has become the sizable regenerative resource of development scale, output fluctuation is big, and has
Randomness and intermittence；And photo-thermal power generation stablizes adjustable advantage as having very much in the form of potential utilize by it, becomes
The preferable selection of mixed developing is carried out with other renewable energy technologies.For wind-powered electricity generation practitioner, fused salt heat-storage technology is in wind
The cognition degree of electrical domain is not high, and wind-powered electricity generation storage often considers battery technology at present, understands hot energy storage technology and pays close attention to
It is less.
Invention content
Fluctuation minimum wind-power electricity generation and light when contributing technical problem to be solved by the invention is to provide a kind of joint
Heat generating system capacity ratio optimization method.
In order to solve the above technical problems, the present invention adopts the following technical scheme that：
A kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method comprising following steps：
A. annual air speed data, system power generation target data, system constraints data and solar-thermal generating system are obtained
Capacity step-length；The system constraints data include opto-thermal system output upper limit ratio Up and opto-thermal system output lower limit ratio
Example Low；
B. the output that t moment corresponds to wind-driven generator when wind speed is V is calculated according to wind power plant generation model and air speed data
Power Pwind(t) data, calculation formula (1) are as follows：
In formula：P (V) is the output power that t moment corresponds to wind-driven generator when wind speed is V；That is wind speed V is at the t moment
Wind speed；
V1For the threshold wind velocity of wind-driven generator；
V2For the rated wind speed of wind-driven generator；
V3For the cut-out wind speed of wind-driven generator；
A, b, c are the fitting parameter obtained using the power curve of wind-driven generator；
P0For the rated power of wind-driven generator；
C. the output power P of wind-driven generator when wind speed is V is corresponded to according to the step b t moments being calculatedwind(t) and
The system power generation desired value P of settingobj(t) the power shortage Δ P (t) of annual generated output per hour, calculation formula (2) are calculated
It is as follows：
Δ P (t)=Pobj(t)-Pwind(t)(2)
D. divide three kinds of sections, judge the size of power shortage Δ P (t)：
(1) as Δ P (t) ＜ LowPcsp(t) when, at this time system power vacancy Δ P (t) be less than opto-thermal system it is specified go out
Power lower limit, then stability bandwidth κLowForOpto-thermal system generated energy W1
For W1=LowPcsp(t),
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
When t indicates arbitrarily small, unit h；
T indicates that time span, unit h are defaulted as 8760 hours；
Low is opto-thermal system output lower proportion ratio；
(2) work as LowPcsp(t)≤ΔP(t)≤Up·Pcsp(t) when, system power vacancy Δ P (t) is more than or equal at this time
Opto-thermal system nominal output lower limit and be less than or equal to the opto-thermal system nominal output upper limit, then stability bandwidth κ=0, opto-thermal system hair
Electricity W2For W2=Δ P (t)；
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
Low is opto-thermal system output lower proportion ratio；
(3) as Δ P (t) ＞ UpPcsp(t) when, system power vacancy Δ P (t) is more than opto-thermal system nominal output at this time
The upper limit, then stability bandwidth κUpForOpto-thermal system generated energy W3For W3
=UpPcsp(t)；
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
Up is opto-thermal system output upper limit ratio；
E. according to the solar-thermal generating system capacity step-length of setting, it is defaulted as 1MW, step c and d are repeated, until being calculated
The minimum value κ of system fluctuation rateminStop；
F. minimal ripple rate κ is obtainedminUnder opto-thermal system generated energy WcspFor Wcsp=W1+W2+W3With installed capacity Pcsp；
G. the opto-thermal system generated energy W obtained by step fcspWith installed capacity Pcsp, opto-thermal system year etc. is calculated
Effect utilizes hourage TcspFor
Further, the installed capacity PcspIt is output minimal ripple rate κminThe capacity of opto-thermal system under corresponding leads to
Cross the value that cycle obtains.
Further, fitting parameter a, b, the c obtained using the power curve of wind-driven generator is respectively a=0.028, b
=-0.148, c=0.231.The goodness of fit is 0.997, is the evaluation amount of fitting parameter, closer to 1, surface is quasi- for the goodness of fit
It is better to close parameter.
Further, the T indicates that time span, unit h are defaulted as 8760 hours.
Beneficial effects of the present invention are as follows：
In the case where batteries to store energy cost does not decline to a great extent, wind-powered electricity generation is realized smooth using the heat reservoir of photo-thermal
The cost ratio of electric power output more has economic value using battery technology.Simultaneously as the LCOE costs of wind-powered electricity generation compare photo-thermal power generation
Want much lower, when the two carries out complementation, then the degree electricity cost of whole project can be more lower than pure photo-thermal power station, but in project
It is promoted on power generating quality.
The present invention has required input data few and easy acquisition first, need to only input annual air speed data hourly,
System power generation target data, system constraints data and solar-thermal generating system capacity step-length, wherein air speed data can pass through purchase
It buys or is surveyed, system power generation target data can be set according to oneself, system constraints data and photo-thermal
Electricity generation system capacity step-length can directly be set；Secondly, wind power output calculation formula is simple and clear, optimizes patrolling for calculation process
Volume clear understandable, pilot process calculates data and operand is small, it can be achieved that wind-power electricity generation combines Reeb with solar-thermal generating system
Distributing rationally for dynamic minimum lower capacity, certain directive function and theoretical foundation are provided for practical implementation.
Description of the drawings
Fig. 1 is the flow chart of this method.
Fig. 2 is annual 8760 hours capability diagrams of wind power plant.
Fig. 3 is the change curve of wind-powered electricity generation and photo-thermal association system stability bandwidth κ.
Fig. 4 is opto-thermal system output variation diagram.
Fig. 5 is wind power plant and opto-thermal system association system output variation diagram.
Fig. 6 is that wind power plant is contributed and desired value difference variation diagram with opto-thermal system association system.
Specific implementation mode
With reference to Fig. 1-Fig. 6 and specific embodiment, the present invention will be further described.
As shown in figs 1 to 6, the present embodiment is related to a kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization side
Method specifically uses following steps：
A. annual air speed data, system power generation target data, system constraints data and solar-thermal generating system are obtained
Capacity step-length；The system constraints data include opto-thermal system output upper limit ratio Up and opto-thermal system output lower limit ratio
Example Low；
B. the output that t moment corresponds to wind-driven generator when wind speed is V is calculated according to wind power plant generation model and air speed data
Power Pwind(t) data, calculation formula (1) are as follows：
In formula：P (V) is the output power that t moment corresponds to wind-driven generator when wind speed is V；That is wind speed V is at the t moment
Wind speed；
V1For the threshold wind velocity of wind-driven generator；
V2For the rated wind speed of wind-driven generator；
V3For the cut-out wind speed of wind-driven generator；
A, b, c are the fitting parameter obtained using the power curve of wind-driven generator；
P0For the rated power of wind-driven generator；
C. the output power P of wind-driven generator when wind speed is V is corresponded to according to the step b t moments being calculatedwind(t) and
The system power generation desired value P of settingobj(t) the power shortage Δ P (t) of annual generated output per hour, calculation formula (2) are calculated
It is as follows：
Δ P (t)=Pobj(t)-Pwind(t)(2)
D. divide three kinds of sections, judge the size of power shortage Δ P (t)：
(1) as Δ P (t) ＜ LowPcsp(t) when, at this time system power vacancy Δ P (t) be less than opto-thermal system it is specified go out
Power lower limit, then stability bandwidth κLowForOpto-thermal system generated energy W1
For W1=LowPcsp(t),
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
When t indicates arbitrarily small, unit h；
T indicates that time span, unit h are defaulted as 8760 hours；
Low is opto-thermal system output lower proportion ratio；
(2) work as LowPcsp(t)≤ΔP(t)≤Up·Pcsp(t) when, system power vacancy Δ P (t) is more than or equal at this time
Opto-thermal system nominal output lower limit and be less than or equal to the opto-thermal system nominal output upper limit, then stability bandwidth κ=0, opto-thermal system hair
Electricity W2For W2=Δ P (t)；
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
Low is opto-thermal system output lower proportion ratio；
(3) as Δ P (t) ＞ UpPcsp(t) when, system power vacancy Δ P (t) is more than opto-thermal system nominal output at this time
The upper limit, then stability bandwidth κUpForOpto-thermal system generated energy W3For W3
=UpPcsp(t)；
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
Up is opto-thermal system output upper limit ratio；
E. according to the solar-thermal generating system capacity step-length of setting, it is defaulted as 1MW, step c and d are repeated, until being calculated
The minimum value κ of system fluctuation rateminStop；
F. minimal ripple rate κ is obtainedminUnder opto-thermal system generated energy WcspFor Wcsp=W1+W2+W3And installed capacity
Pcsp；
G. the opto-thermal system generated energy W obtained by step fcspWith installed capacity Pcsp, opto-thermal system year etc. is calculated
Effect utilizes hourage TcspFor
Further, the installed capacity PcspIt is output minimal ripple rate κminThe capacity of opto-thermal system under corresponding leads to
Cross the value that cycle obtains.
Further, fitting parameter a, b, the c obtained using the power curve of wind-driven generator is respectively a=0.028, b
=-0.148, c=0.231.The goodness of fit is 0.997, is the evaluation amount of fitting parameter, closer to 1, surface is quasi- for the goodness of fit
It is better to close parameter.
Further, the T indicates that time span, unit h are defaulted as 8760 hours.
The present embodiment is big in view of wind power generation output fluctuation, and has randomness and intermittence, and photo-thermal power generation is contributed
Have the characteristics that stablize it is adjustable, use using typical meteorological year data and it is expected contribute aircraft pursuit course, with 1 hour
Step-length, the time stimulatiom carried out 8760 hours calculate.It includes establishing the mathematical modulo that wind-power electricity generation and photovoltaic generating system are contributed
Type, basic data importing, the setting of optimization target values and optimization computation rule.Using the present embodiment can realize wind-power electricity generation with
Solar-thermal generating system combines distributing rationally for capacity under fluctuation minimum, has certain directive function to Practical Project.
Specifically, opto-thermal system output upper limit ratio Up values take 100%, opto-thermal system output lower proportion ratio Low values take
30%, system power generation desired value Pobj(t) it is 50MW, the step-length that opto-thermal system capacity changes is desired value Pobj(t) 1 ‰, wind
Annual 8760 hours output situations of electric field are as shown in Figure 2.
The stability bandwidth of calculated minimum is 17.569%, and the capacity of opto-thermal system is 48.3MW at this time, and wind-powered electricity generation holds at this time
Amount is 1 with opto-thermal system capacity ratio:0.966 (wind power output:Opto-thermal system contribute), opto-thermal system year it is equivalent utilize hour
Number TcspIt is 6490.1 hours.
The operation principle of the present embodiment is as follows：
By combined generating system mathematical modeling, setting optimization aim and rule, one gone out based on Matlab platform developments
Set distributes calculation procedure rationally, specifically includes following steps：
A. annual air speed data, photometric data, system power generation target data, system constraints data are obtained；
B. according to combined generating system mathematical model, wind-force generated output and light in initial electricity generation system per hour are calculated
Hot generated output data；
C. calculating stability bandwidth is carried out according to setting Prescribed Properties, desired value and the principle of optimality；
D. with the step-size change wind generator system of setting and the capacity of solar-thermal generating system, step b and c are repeated；
Stop calculating when finding out stability bandwidth minimum, export wind power system capacity and solar-thermal generating system capacity and its
Ratio.
Above-mentioned detailed description is illustrating for possible embodiments of the present invention, which is not to limit this hair
Bright the scope of the claims, all equivalence enforcements or change without departing from the present invention are intended to be limited solely by the scope of patent protection of this case.
Claims (4)
1. a kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method, it is characterised in that：It includes the following steps：
A. annual air speed data, system power generation target data, system constraints data and solar-thermal generating system capacity are obtained
Step-length；The system constraints data include opto-thermal system output upper limit ratio Up and opto-thermal system output lower proportion ratio Low；
B. the output power P that t moment corresponds to wind-driven generator when wind speed is V is calculated according to wind-power electricity generation model and air speed datawind
(t) data, calculation formula (1) are as follows：
In formula：Pwind(t) it is output power that t moment corresponds to wind-driven generator when wind speed is V；That is wind speed V is the wind in t moment
Speed；
V1For the threshold wind velocity of wind-driven generator；
V2For the rated wind speed of wind-driven generator；
V3For the cut-out wind speed of wind-driven generator；
A, b, c are the fitting parameter obtained using the power curve of wind-driven generator；
P0For the rated power of wind-driven generator；
C. the output power P of wind-driven generator when wind speed is V is corresponded to according to the step b t moments being calculatedwind(t) and setting
System power generation desired value Pobj(t) the power shortage Δ P (t) of annual generated output per hour is calculated, calculation formula (2) is as follows：
Δ P (t)=Pobj(t)-Pwind(t) (2)
D. divide three kinds of sections, judge the size of power shortage Δ P (t)：
(1) as Δ P (t) ＜ LowPcsp(t) when, system power vacancy Δ P (t) is less than under opto-thermal system nominal output at this time
It limits, then stability bandwidth κLowForOpto-thermal system generated energy W1For W1
=LowPcsp(t),
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
When t indicates arbitrarily small, unit h；
T indicates time span, unit h；
Low is opto-thermal system output lower proportion ratio；
(2) work as LowPcsp(t)≤ΔP(t)≤Up·Pcsp(t) when, system power vacancy Δ P (t) is more than or equal to photo-thermal at this time
System nominal output lower limit and it is less than or equal to the opto-thermal system nominal output upper limit, then stability bandwidth κ=0, opto-thermal system generated energy W2
For W2=Δ P (t)；
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
Low is opto-thermal system output lower proportion ratio；
(3) as Δ P (t) ＞ UpPcsp(t) when, system power vacancy Δ P (t) is more than the opto-thermal system nominal output upper limit at this time,
Then stability bandwidth κUpForOpto-thermal system generated energy W3For W3=Up
Pcsp(t)；
Wherein, Pcsp(t) opto-thermal system nominal output is indicated；
Up is opto-thermal system output upper limit ratio；
E. according to the solar-thermal generating system capacity step-length of setting, it is defaulted as 1MW, step c and d are repeated, until system is calculated
The minimum value κ of stability bandwidthminStop；
F. minimal ripple rate κ is obtainedminUnder opto-thermal system generated energy WcspFor Wcsp=W1+W2+W3With installed capacity Pcsp；
G. the opto-thermal system generated energy W obtained by step fcspWith installed capacity Pcsp, opto-thermal system year equivalent profit is calculated
With hourage TcspFor
2. a kind of wind-power electricity generation according to claim 1 and solar-thermal generating system capacity ratio optimization method, feature exist
In：The installed capacity PcspIt is output minimal ripple rate κminThe capacity of opto-thermal system under corresponding, by recycling obtained value.
3. a kind of wind-power electricity generation according to claim 1 and solar-thermal generating system capacity ratio optimization method, feature exist
In：Fitting parameter a, b, the c obtained using the power curve of wind-driven generator is respectively a=0.028, b=-0.148, c=
0.231。
4. a kind of wind-power electricity generation according to claim 1 and solar-thermal generating system capacity ratio optimization method, feature exist
In：The T indicates that time span, unit h are defaulted as 8760 hours.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810053741.4A CN108336765B (en) | 2018-01-19 | 2018-01-19 | A kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810053741.4A CN108336765B (en) | 2018-01-19 | 2018-01-19 | A kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108336765A true CN108336765A (en) | 2018-07-27 |
| CN108336765B CN108336765B (en) | 2019-04-19 |
Family
ID=62926214
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810053741.4A Expired - Fee Related CN108336765B (en) | 2018-01-19 | 2018-01-19 | A kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108336765B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109193771A (en) * | 2018-09-27 | 2019-01-11 | 河北工业大学 | A kind of power distribution network end wind-powered electricity generation photovoltaic capacity ratio optimization method |
| CN110165699A (en) * | 2019-04-30 | 2019-08-23 | 西安交通大学 | A kind of photo-thermal power station Optimal Configuration Method provided multiple forms of energy to complement each other based on individual optimization and system |
| CN110994606A (en) * | 2019-12-12 | 2020-04-10 | 国网青海省电力公司电力科学研究院 | Multi-energy power supply capacity configuration method based on complex adaptive system theory |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242335A (en) * | 2014-06-30 | 2014-12-24 | 江苏华大天益电力科技有限公司 | Wind and light storage generating unit capacity optimal configuration method based on rated capacity |
| CN106300406A (en) * | 2015-05-25 | 2017-01-04 | 中国电力科学研究院 | A kind of solar energy thermal-power-generating and wind-power electricity generation complementary operation system |
| CN107453377A (en) * | 2017-07-20 | 2017-12-08 | 国网能源研究院 | Analysis method is matched based on the optimal solar energy thermal-power-generating heat accumulation of system cost benefit |
-
2018
- 2018-01-19 CN CN201810053741.4A patent/CN108336765B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242335A (en) * | 2014-06-30 | 2014-12-24 | 江苏华大天益电力科技有限公司 | Wind and light storage generating unit capacity optimal configuration method based on rated capacity |
| CN106300406A (en) * | 2015-05-25 | 2017-01-04 | 中国电力科学研究院 | A kind of solar energy thermal-power-generating and wind-power electricity generation complementary operation system |
| CN107453377A (en) * | 2017-07-20 | 2017-12-08 | 国网能源研究院 | Analysis method is matched based on the optimal solar energy thermal-power-generating heat accumulation of system cost benefit |
Non-Patent Citations (1)
| Title |
|---|
| 李伟: "并网型风电与光热发电的协调控制研究", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109193771A (en) * | 2018-09-27 | 2019-01-11 | 河北工业大学 | A kind of power distribution network end wind-powered electricity generation photovoltaic capacity ratio optimization method |
| CN109193771B (en) * | 2018-09-27 | 2021-04-20 | 河北工业大学 | Wind power photovoltaic capacity ratio optimization method for power distribution network terminal |
| CN110165699A (en) * | 2019-04-30 | 2019-08-23 | 西安交通大学 | A kind of photo-thermal power station Optimal Configuration Method provided multiple forms of energy to complement each other based on individual optimization and system |
| CN110165699B (en) * | 2019-04-30 | 2021-09-07 | 西安交通大学 | Photo-thermal power station optimal configuration method based on individual optimization and system multi-energy complementation |
| CN110994606A (en) * | 2019-12-12 | 2020-04-10 | 国网青海省电力公司电力科学研究院 | Multi-energy power supply capacity configuration method based on complex adaptive system theory |
| CN110994606B (en) * | 2019-12-12 | 2023-08-01 | 国网青海省电力公司电力科学研究院 | Multi-energy power supply capacity configuration method based on complex adaptation system theory |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108336765B (en) | 2019-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Eltamaly et al. | Optimal sizing and designing of hybrid renewable energy systems in smart grid applications | |
| Awan et al. | Performance analysis of various hybrid renewable energy systems using battery, hydrogen, and pumped hydro‐based storage units | |
| CN103023035B (en) | Optimal configuration method of multi-energy supplementary power generation system | |
| CN102013701B (en) | Method for calculating photovoltaic power generation accepting capability of power grid of high-altitude region | |
| Katsaprakakis | Hybrid power plants in non-interconnected insular systems | |
| CN110365013B (en) | Capacity optimization method of photo-thermal-photovoltaic-wind power combined power generation system | |
| Kies et al. | Large-scale integration of renewable power sources into the Vietnamese power system | |
| Sultan et al. | Design and evaluation of PV-wind hybrid system with hydroelectric pumped storage on the National Power System of Egypt | |
| CN105205552B (en) | A kind of independent new energy hybrid power system Method for optimized planning | |
| Weisser et al. | Implications of seasonal and diurnal variations of wind velocity for power output estimation of a turbine: a case study of Grenada | |
| CN108336765B (en) | A kind of wind-power electricity generation and solar-thermal generating system capacity ratio optimization method | |
| CN108879793A (en) | A kind of off-grid type energy mix system optimization method of scene storage station complementation | |
| Waiwong et al. | Optimal sizing for stand alone power generating system with wind-PV-hydro storage by mixed-integer linear programming | |
| CN105488357B (en) | A kind of active power rolling scheduling method of photo-thermal power station wind power plant association system | |
| CN110490421A (en) | A kind of micro-capacitance sensor medium-small hydropower plants capacity collocation method based on Fuzzy C-Means Clustering | |
| Kies et al. | The effect of hydro power on the optimal distribution of wind and solar generation facilities in a simplified highly renewable european power system | |
| CN117526446A (en) | Wind-solar capacity double-layer optimization configuration method for cascade water-wind-solar multi-energy complementary power generation system | |
| Durakovic | Levelized cost of electricity of renewable energy technologies as a criterion for project prioritization | |
| Hajiah et al. | Optimal sizing of wind power systems in three high wind potential zones in kuwait for remote housing electrification | |
| Hoste et al. | Matching hourly and peak demand by combining different renewable energy sources | |
| CN110544958A (en) | method and device for determining capability of electric power system to absorb random output power | |
| CN103306906B (en) | A kind of wind energy conversion system installed capacity defining method be suitable under local wind-resources | |
| Haque et al. | Sizing, dynamic modeling and power electronics of a hybrid energy system | |
| CN106329554B (en) | A kind of calculation method of the energy storage rated capacity suitable for garden type micro-capacitance sensor | |
| Jurasz et al. | Solar-hydro cable pooling–Utilizing the untapped potential of existing grid infrastructure |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190419 |