CN102255337A - Calculating method for wind power field receiving capability of power grid - Google Patents

Calculating method for wind power field receiving capability of power grid Download PDF

Info

Publication number
CN102255337A
CN102255337A CN2011102177360A CN201110217736A CN102255337A CN 102255337 A CN102255337 A CN 102255337A CN 2011102177360 A CN2011102177360 A CN 2011102177360A CN 201110217736 A CN201110217736 A CN 201110217736A CN 102255337 A CN102255337 A CN 102255337A
Authority
CN
China
Prior art keywords
electrical network
turbine set
energy turbine
wind energy
wind
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
Application number
CN2011102177360A
Other languages
Chinese (zh)
Other versions
CN102255337B (en
Inventor
李鹏
李晓春
李雨薇
王伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China Electric Power University
Original Assignee
North China Electric Power University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by North China Electric Power University filed Critical North China Electric Power University
Priority to CN2011102177360A priority Critical patent/CN102255337B/en
Publication of CN102255337A publication Critical patent/CN102255337A/en
Application granted granted Critical
Publication of CN102255337B publication Critical patent/CN102255337B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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

  • Control Of Eletrric Generators (AREA)

Abstract

The invention discloses a calculating method for the wind power field receiving capability of a power grid and belongs to the technical field of wind power. The calculating method comprises the following steps: acquiring a ratio of the maximum variation of output power of a wind power field caused by wind speed to the rated capacity of the wind power field according to a daily power output curve of the output power of the wind power field; then acquiring the spinning reserve capacity percentage of a local power grid, a spinning reserve capacity coefficient provided by the power grid for dealing with a power output fluctuation factor of the wind power field as well as the maximum generating load of the power grid; and finally solving the wind power field receiving capability of the power grid. The calculating method provided by the invention has the advantages of simple and direct solving process, strong adaptability and convenience in practical engineering application. The calculating method provided by the invention is beneficial to estimation on the wind power grid-connected allowed capacity in the planning stage of the power grid.

Description

A kind of electrical network is admitted the computational methods of wind energy turbine set ability
Technical field
The invention belongs to the wind power technology field, relate in particular to the computational methods that a kind of electrical network is admitted the wind energy turbine set ability.
Background technology
The power output of wind energy turbine set is subjected to the influence of wind-resources very obvious, has randomness, fluctuation and intermittent characteristics, and when the wind speed acute variation, the access of wind energy turbine set can influence the normal operation of electrical network.Therefore, need be in the construction plan process of wind energy turbine set determine reasonably that corresponding electrical network admits the ability of wind energy turbine set, realize reliable, high-quality, the economical operation of local power grid (electrical network that the wind-powered electricity generation place is inserted).Comprise about the main constraints of determining local power grid admittance wind energy turbine set ability in the existing research: the stability of the adjusting nargin of the installed capacity of local power grid, part throttle characteristics, electric network composition, scheduling level, conventional unit, the operational plan of system, quality of power supply control index and system etc.Because the limiting factor that local power grid admits the calculating of wind energy turbine set ability to relate to is more, solution procedure is very complicated, so generally only consider the constraint of main aspect.What consideration was more at present is the scleronomic constraint of power quality index and system.
Because the power producing characteristics of wind energy turbine set, Power Output for Wind Power Field is rapid fluctuations in the larger context, safe, stable, economical operation to electrical network impact, and this provides certain stand-by heat capacity to compensate the fluctuation of output of wind electric field with regard to the electrical network that requires wind energy turbine set to insert.In practical engineering application, need a kind of definite suitable algorithm and computing formula of considering the electrical network admittance wind energy turbine set ability of electrical network reserve capacity that be used for.
Summary of the invention
The deficiency of solution procedure complexity the present invention proposes the computational methods that a kind of electrical network is admitted the wind energy turbine set ability because limiting factor is many to admit the calculating of wind energy turbine set ability at the electrical network mentioned in the above-mentioned background technology.
Technical scheme of the present invention is that a kind of electrical network is admitted the computational methods of wind energy turbine set ability, it is characterized in that this method may further comprise the steps:
Step 1: obtain the maximum variable quantity of Power Output for Wind Power Field that causes by wind speed and the ratio of wind energy turbine set rated capacity according to the day power curve of output of Power Output for Wind Power Field;
Step 2: the stand-by heat capacity coefficient and the electrical network maximum generation load that obtain the stand-by heat vol of local power grid, tackle the output pulsation of wind energy turbine set power by electrical network being used to of providing;
Step 3: on the basis of step 1 and step 2, try to achieve the ability that electrical network is admitted wind energy turbine set.
Described electrical network admits the ability of wind energy turbine set to calculate by absolute expression and/or relative expression.
Described electrical network admits the absolute expression of the ability of wind energy turbine set to be:
E = μ × r d × P L M
Wherein:
E is the ability that electrical network is admitted wind energy turbine set;
The stand-by heat capacity coefficient that be used to tackle wind energy turbine set power output pulsation of μ for providing by electrical network;
R is the stand-by heat vol of local power grid;
D is the ratio of maximum variable quantity of Power Output for Wind Power Field and wind energy turbine set rated capacity;
Figure BDA0000080198470000022
Be local power grid maximum generation load.
Described electrical network admits the relative expression of the ability of wind energy turbine set to be:
E G = μ × r d × α
Wherein:
E is the ability that electrical network is admitted wind energy turbine set;
The stand-by heat capacity coefficient that be used to tackle wind energy turbine set power output pulsation of μ for providing by electrical network;
R is the stand-by heat vol of local power grid;
D is the ratio of maximum variable quantity of Power Output for Wind Power Field and wind energy turbine set rated capacity;
G is the electrical network installed capacity;
α is local power grid maximum generation load
Figure BDA0000080198470000031
Account for the ratio of electrical network installed capacity G.
The span of described μ is 0: 1.0.
The present invention is according to the maximum percent change of the power of wind energy turbine set output, and takes all factors into consideration the stand-by heat capacity of electrical network, calculates the ability size that electrical network allows to admit wind energy turbine set, and promptly electrical network allows the capacity of the wind energy turbine set that inserts.Compare with existing research method, this method is that constraints is calculated the ability that electrical network is admitted wind energy turbine set with electrical network stand-by heat capacity, and its solution procedure is simple and direct, and adaptability is strong, is convenient to practical engineering application, helps Electric Power Network Planning stage estimation wind-electricity integration access capacity.Consider that the stand-by heat capacity is the power imbalance problem of the electrical network of constraints electrical network when allowing to admit the computing formula of the ability size of wind energy turbine set to consider that utilizing electrical network stand-by heat capacity to solve wind-electricity integration moves, its beneficial effect is: can effectively solve the grid power imbalance problem that the wind-powered electricity generation output-power fluctuation causes, avoid the power disturbance of wind-electricity integration, stability, fail safe and economy when the stand-by heat capacity that helps making full use of electrical network realizes that wind-powered electricity generation inserts operation of power networks behind the electrical network to operation of power networks.
Description of drawings
Fig. 1 is the described local wind electric field of an embodiment day active power output curve diagram.
Embodiment
Below in conjunction with accompanying drawing, preferred embodiment is elaborated.Should be emphasized that following explanation only is exemplary, rather than in order to limit the scope of the invention and to use.
Concrete steps of the present invention are as follows:
At first obtain the ratio d of the maximum variable quantity of Power Output for Wind Power Field and wind energy turbine set rated capacity, i.e. the Power Output for Wind Power Field maximum percent change that causes of wind speed reason according to the day power curve of output of Power Output for Wind Power Field;
Obtain the stand-by heat vol r of local power grid then, tackle the stand-by heat capacity coefficient μ (span is: 0: 1.0) of wind energy turbine set power output pulsation and the electrical network maximum generation load that provides by local power grid by electrical network being used to of providing
Figure BDA0000080198470000041
The absolute expression of determining electrical network admittance wind energy turbine set ability according to above-mentioned data is:
E = μ × r d × P L M - - - ( 1 )
Wherein, E is that electrical network is admitted the wind energy turbine set ability.
When known local power grid maximum generation load
Figure BDA0000080198470000043
When accounting for the ratio α of electrical network installed capacity G, can obtain electrical network and allow the capacity E of the wind energy turbine set that inserts and the proportionate relationship of electrical network installed capacity G, promptly electrical network admits the relative expression of wind energy turbine set ability to be:
E G = μ × r d × α - - - ( 2 )
Day power curve and the stand-by heat capacity of local power grid according to the different resulting Power Output for Wind Power Field of wind-resources meteorological condition in each department, can calculate the ability size that local power grid is allowed to admit wind energy turbine set by formula (1), be to calculate the electrical network of considering the constraint of electrical network reserve capacity to admit an innovative point of wind energy turbine set ability by the computational methods of this equation expression.At present, admit in the theoretical research and practical engineering application of wind energy turbine set ability at electrical network, still being difficult electrical network stand-by heat capacity is suitable algorithm and the computing formula that constraints is calculated wind-electricity integration access capacity.
Figure 1 shows that the day power output curve diagram of certain wind energy turbine set under the actual measurement wind speed that the embodiment of the invention adopts.The ratio d of maximum variable quantity of Power Output for Wind Power Field and wind energy turbine set rated capacity is 42.3%.
With the somewhere is example, the stand-by heat vol r of known local power grid is 8% and (wherein loads and standbyly account for 3%, emergency duty accounts for 5%), if the stand-by heat capacity coefficient μ that tackles the output pulsation of wind energy turbine set power by electrical network being used to of providing is that 0.5 (being the shared electrical network stand-by heat vol of compensation wind energy turbine set power output pulsation sexual factor is 4%, it is less than the emergency duty percentage in the local power grid stand-by heat), local power grid maximum generation load
Figure BDA0000080198470000051
Be 15000 megawatts, the proportionality coefficient α that electrical network maximum generation load accounts for electrical network installed capacity G is 83.3%.
Can consider by formula (1) that electrical network reserve capacity when constraint local power grid is allowed admits the absolute expression of the ability of wind energy turbine set to be:
E = μ × r d × P L M = 0.5 × 8 % 42.3 % × 15000 = 9.4 % × 15000 = 1410 Megawatt
Can consider that by formula (2) the wind energy turbine set capacity that electrical network reserve capacity when constraint local power grid is allowed to be admitted and the proportionate relationship relative expression of electrical network installed capacity are:
E G = μ × r d × α = 9.4 % × 83.3 % = 7.8 %
Therefore, use consideration electrical network reserve capacity provided by the present invention and admit the computational methods of wind energy turbine set ability as the electrical network of constraints, under the meteorological condition that is provided with accompanying drawing 1 wind energy turbine set day power curve and the operation characteristic of local power grid be foundation, the wind energy turbine set capacity that local power grid allows to insert is 1410 megawatts, accounts for 7.8% of local power grid installed capacity.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.

Claims (5)

1. an electrical network is admitted the computational methods of wind energy turbine set ability, it is characterized in that this method may further comprise the steps:
Step 1: obtain the maximum variable quantity of Power Output for Wind Power Field that causes by wind speed and the ratio of wind energy turbine set rated capacity according to the day power curve of output of Power Output for Wind Power Field;
Step 2: the stand-by heat capacity coefficient and the electrical network maximum generation load that obtain the stand-by heat vol of local power grid, tackle the output pulsation of wind energy turbine set power by electrical network being used to of providing;
Step 3: on the basis of step 1 and step 2, try to achieve the ability that electrical network is admitted wind energy turbine set.
2. a kind of electrical network according to claim 1 is admitted the computational methods of wind energy turbine set ability, it is characterized in that described electrical network admits the ability of wind energy turbine set to pass through absolute expression and/or the relative expression calculates.
3. a kind of electrical network according to claim 2 is admitted the computational methods of wind energy turbine set ability, it is characterized in that the absolute expression of the ability of described electrical network admittance wind energy turbine set is:
E = μ × r d × P L M
Wherein:
E is the ability that electrical network is admitted wind energy turbine set;
The stand-by heat capacity coefficient that be used to tackle wind energy turbine set power output pulsation of μ for providing by electrical network;
R is the stand-by heat vol of local power grid;
D is the ratio of maximum variable quantity of Power Output for Wind Power Field and wind energy turbine set rated capacity;
Figure FDA0000080198460000012
Be local power grid maximum generation load.
4. a kind of electrical network according to claim 2 is admitted the computational methods of wind energy turbine set ability, it is characterized in that the relative expression of the ability of described electrical network admittance wind energy turbine set is:
E G = μ × r d × α
Wherein:
E is the ability that electrical network is admitted wind energy turbine set;
The stand-by heat capacity coefficient that be used to tackle wind energy turbine set power output pulsation of μ for providing by electrical network;
R is the stand-by heat vol of local power grid;
D is the ratio of maximum variable quantity of Power Output for Wind Power Field and wind energy turbine set rated capacity;
G is the electrical network installed capacity;
α is local power grid maximum generation load Account for the ratio of electrical network installed capacity G.
5. according to the computational methods of claim 3 or 4 described a kind of electrical networks admittance wind energy turbine set abilities, the span that it is characterized in that described μ is 0: 1.0.
CN2011102177360A 2011-08-01 2011-08-01 Calculating method for wind power field receiving capability of power grid Active CN102255337B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2011102177360A CN102255337B (en) 2011-08-01 2011-08-01 Calculating method for wind power field receiving capability of power grid

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2011102177360A CN102255337B (en) 2011-08-01 2011-08-01 Calculating method for wind power field receiving capability of power grid

Publications (2)

Publication Number Publication Date
CN102255337A true CN102255337A (en) 2011-11-23
CN102255337B CN102255337B (en) 2013-08-07

Family

ID=44982382

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2011102177360A Active CN102255337B (en) 2011-08-01 2011-08-01 Calculating method for wind power field receiving capability of power grid

Country Status (1)

Country Link
CN (1) CN102255337B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102593853A (en) * 2012-02-27 2012-07-18 东北电力大学 Energy storage system capacity configuration optimizing method capable of enhancing wind power receiving capacity
CN103023027A (en) * 2012-12-06 2013-04-03 湖南大学 Method for establishing equivalent model of external characteristics of wind power plant of doubly fed induction generator (DFIG)
CN103078338A (en) * 2013-01-13 2013-05-01 东北电力大学 Energy storage system configuration method for improving utilization level of wind energy of wind power plant
CN103219748A (en) * 2012-01-20 2013-07-24 华北电力科学研究院有限责任公司 Determination method and system of power grid wind electricity digestion capability
CN105046367A (en) * 2015-07-30 2015-11-11 国电南京自动化股份有限公司 Wind power budgeting method based on high-precision real-time database
CN107221964A (en) * 2017-06-09 2017-09-29 集美大学 A kind of dynamic positioning ocean platform multiple generator group scheduling method
CN111894815A (en) * 2020-07-29 2020-11-06 上海电气风电集团股份有限公司 Method and device for determining power curve of wind generating set and computer readable storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101252280A (en) * 2008-04-08 2008-08-27 昆明理工大学 On-line evaluating method of urban network max power supply capability
JP2008199825A (en) * 2007-02-14 2008-08-28 Mitsubishi Chemicals Corp Operation optimization method and device of power generation plant
CN101852172A (en) * 2010-03-09 2010-10-06 山东科技大学 Method for calculating input wind speed of wind generating sets according to wake effect in wind power station

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008199825A (en) * 2007-02-14 2008-08-28 Mitsubishi Chemicals Corp Operation optimization method and device of power generation plant
CN101252280A (en) * 2008-04-08 2008-08-27 昆明理工大学 On-line evaluating method of urban network max power supply capability
CN101852172A (en) * 2010-03-09 2010-10-06 山东科技大学 Method for calculating input wind speed of wind generating sets according to wake effect in wind power station

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孙荣富，张涛，梁古: "电网接纳风电能力的评估及应用", 《电力***自动化》 *
韩小琪，孙寿广，戚庆茹: "从***调峰角度评估电网接纳风电能力", 《中国电力》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103219748A (en) * 2012-01-20 2013-07-24 华北电力科学研究院有限责任公司 Determination method and system of power grid wind electricity digestion capability
CN103219748B (en) * 2012-01-20 2015-04-08 华北电力科学研究院有限责任公司 Determination method and system of power grid wind electricity digestion capability
CN102593853A (en) * 2012-02-27 2012-07-18 东北电力大学 Energy storage system capacity configuration optimizing method capable of enhancing wind power receiving capacity
CN102593853B (en) * 2012-02-27 2014-03-26 东北电力大学 Energy storage system capacity configuration optimizing method capable of enhancing wind power receiving capacity
CN103023027A (en) * 2012-12-06 2013-04-03 湖南大学 Method for establishing equivalent model of external characteristics of wind power plant of doubly fed induction generator (DFIG)
CN103078338A (en) * 2013-01-13 2013-05-01 东北电力大学 Energy storage system configuration method for improving utilization level of wind energy of wind power plant
CN105046367A (en) * 2015-07-30 2015-11-11 国电南京自动化股份有限公司 Wind power budgeting method based on high-precision real-time database
CN107221964A (en) * 2017-06-09 2017-09-29 集美大学 A kind of dynamic positioning ocean platform multiple generator group scheduling method
CN107221964B (en) * 2017-06-09 2019-10-01 集美大学 A kind of dynamic positioning ocean platform multiple generator group scheduling method
CN111894815A (en) * 2020-07-29 2020-11-06 上海电气风电集团股份有限公司 Method and device for determining power curve of wind generating set and computer readable storage medium

Also Published As

Publication number Publication date
CN102255337B (en) 2013-08-07

Similar Documents

Publication Publication Date Title
CN102255337B (en) Calculating method for wind power field receiving capability of power grid
US8942856B2 (en) Power converter and methods of controlling the same
CN103997039B (en) Method for predicting rotating standby interval with wind power acceptance considered based on probability interval prediction
CN103825279A (en) Micro-grid system voltage stability control method based on robust control
Amin et al. Integration of renewable energy resources in microgrid
CN104882905A (en) New energy available capability assessment method considering transient security constraints
Saez-de-Ibarra et al. Analysis and comparison of battery energy storage technologies for grid applications
CN108462212A (en) A kind of New-energy power system control method under the more regulatory domain methods of operation of multi-source
CN103208813A (en) Power system daily peak regulation capability assessment method for accurately calculating wind power influence
Wu et al. A novel frequency regulation strategy with the application of energy storage system for large scale wind power integration
CN103208086A (en) Electric power and energy balance method for accurately calculating wind power contributions
Chen et al. Scheduling strategy of hybrid wind-photovoltaic-hydro power generation system
Doolla et al. Analysis of frequency control in isolated microgrids
Karapidakis et al. Impact of increased RES generation on power systems dynamic performance
CN109378857A (en) A kind of load peak moment wind-powered electricity generation reliability forecasting Risk Calculation method
Corona et al. Analysis of Sardinia-Italy Energy Flows with Future Transmission Investments for Increasing the Integration of RES
Dan et al. The research on the integration of energy storage and generating wind turbine system model
Dai et al. Economic Dispatch of Wind-hydro-thermal Power Systems Considering Reservoir Flexibility
CN207053195U (en) A kind of new energy micro-capacitance sensor that electric power is limited based on PCC grid entry points
Lu et al. Unit commitment of power system with wind power and photovoltaic considering frequency safety constraint
CN110021941A (en) A kind of control method for the Power Systems fluctuation inhibiting the field containing double-fed fan motor
Bayasgalan et al. The Utilization of an Energy Storage Facility in Dispatching Regulation of Power System
CN114844127B (en) Energy storage capacity configuration method based on transient and steady state constraints
Chen et al. An optimal volt/var control strategy for an islanded microgrid considering the volt/var control capability
Jain et al. Variable renewable generation and grid operation

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant