EP3818614A1 - Procédé pour injecter une puissance électrique dans un réseau d'alimentation électrique - Google Patents

Procédé pour injecter une puissance électrique dans un réseau d'alimentation électrique

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Publication number
EP3818614A1
EP3818614A1 EP19736707.1A EP19736707A EP3818614A1 EP 3818614 A1 EP3818614 A1 EP 3818614A1 EP 19736707 A EP19736707 A EP 19736707A EP 3818614 A1 EP3818614 A1 EP 3818614A1
Authority
EP
European Patent Office
Prior art keywords
wind
power
gradient
feed
electrical power
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.)
Pending
Application number
EP19736707.1A
Other languages
German (de)
English (en)
Inventor
Johannes BROMBACH
Swantje Amelsberg
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.)
Wobben Properties GmbH
Original Assignee
Wobben Properties GmbH
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 Wobben Properties GmbH filed Critical Wobben Properties GmbH
Publication of EP3818614A1 publication Critical patent/EP3818614A1/fr
Pending legal-status Critical Current

Links

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
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • 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
    • H02J3/381—Dispersed generators
    • 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P9/00—Arrangements for controlling electric generators for the purpose of obtaining a desired output
    • H02P9/02—Details of the control
    • 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]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • 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
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Definitions

  • the present invention relates to a method for feeding electrical power into an electrical supply network. Furthermore, the present invention relates to a wind energy installation and a wind farm, which are each set up to carry out such a method. Wind energy plants typically generate electrical power as a function of a prevailing wind and feed this into an electrical supply network. This means in particular that the electrical power fed in by a wind energy installation correlates with the prevailing wind conditions.
  • the prevailing wind conditions can also change abruptly during operation of the wind energy installation, for example as a result of a gust of wind or the occurrence of a storm.
  • wind energy plants therefore have particularly steep power gradients which they give directly to the electrical supply network. These steep power gradients can then cause network interference in the electrical supply network or even lead to a network breakdown in small (island) networks.
  • the object of the present invention is therefore to address at least one of the problems mentioned above.
  • a solution is to be proposed which makes it possible to operate a wind power installation on the electrical supply network even in the event of sudden changes in the prevailing wind conditions in such a way that there are no or only slight network effects.
  • At least an alternative to previously known solutions should be proposed.
  • the method according to the invention for feeding electrical power into an electrical supply network by means of at least one wind power plant having a power control and a generator thus comprises the steps: creating an electrical power gradient for an electrical power to be generated by the wind power plant, the power gradient being limited at least by means of a continuous operator or is created by means of a prediction operator in such a way that the electrical power gradient is not equal to a predicted wind power gradient, setting the created electrical power gradient in the power control of the wind power plant and generating an electric power by means of the wind power plant as a function of the created electrical power gradient for a feed-in period with a feed-in time. It is therefore proposed in particular to limit the power gradients of a wind energy installation by means of a stabilization operator or a prediction operator.
  • the wind power plant has at least one power control which is set up to set, in particular to limit, the electrical power generated by the wind power plant and delivered to the electrical supply network, in particular by means of an adjustable or predefinable operator or parameter.
  • the power control can have, for example, a gradient limiting module and can be arranged in a control unit which is set up to set the output power of the wind power installation, in particular by means of a full converter.
  • the power control is set up to set a power gradient as a function of a continuation operator or a prediction operator.
  • a steady-state operator is to be understood in particular to mean an operator who can be set in the power control and which is set up to steady the electrical power output by the wind energy installation, in particular according to time.
  • the continuous operator is an adjustable parameter that is multiplied by a power setpoint for a full converter, whereby the parameter can take values between 0 and 1.
  • the full converter control would determine a power gradient for the full converter depending on a gust of wind and this would be multiplied by a value between 0 and 1. This would result in the full converter having a smaller power gradient than it would actually have depending on the wind gust.
  • a gradient restriction with power restriction is therefore preferably proposed, which is preferably combined with a reserve power and utilization of the inertia of the rotor, in particular in order to stabilize the feed-in of the wind energy installation.
  • the steady state operator is preferably selected so that the steady state operator stabilizes or equalizes the electrical power generated by the wind energy installation and fed into the electrical supply network.
  • a prediction operator is also to be understood in particular as an operator who can be set in the power control and is set up to control the electrical power output by the wind energy installation, in particular according to the time, in such a way that an emerging wind change is taken into account.
  • the wind power plant or the wind farm having the wind power plant has a LIDAR system which carries out remote measurement by means of laser beams. The LIDAR system then sees, for example, a gust of wind arriving.
  • the prediction operator is then set such that the wind power installation increases its output or increases its electrical output delivered to the electrical supply network before the wind change occurs.
  • the wind power plant then generates, for example, an electrical power that is greater than an electrical power that can be derived from the prevailing wind.
  • This power deficit can then be compensated for, for example, with the aid of the inertia of the rotor or the rotor-generator system.
  • another upstream wind determination system can also be used, for example a wind mast or another wind energy plant.
  • the prediction operator is also set in such a way that the prediction operator stabilizes or equalizes the electrical power generated by the wind energy installation and fed into the electrical supply network.
  • the prediction operator thus has in particular the same technical effect as the stabilization operator, namely to limit the electrical power output by the wind power installation over time or to stabilize the power output of the wind power installation.
  • the advantage here is that the wind power plant has no steep power gradients and the wind power plant can thus be operated particularly gently on the electrical supply network. This is particularly advantageous in the area of small or weak electrical supply networks, since strong power fluctuations here can have a particularly large, negative influence on the stability of the electrical supply network.
  • the method preferably further comprises the step: predicting at least one wind power gradient of a wind that will prevail in the future in a rotor field of the wind energy installation for a forecast period with a forecast time as a function of at least one recorded wind parameter.
  • a wind power gradient is predicted, that is to say a change in the wind over time.
  • a wind power gradient can be determined, for example, as a function of the wind speed.
  • the wind speed is continuously recorded and evaluated using an analysis that takes an average wind speed into account, in particular according to whether a wind gust or sudden change in the wind ratio occurs.
  • the wind power gradient is preferably determined for a rotor field of the wind energy installation and there in particular for a forecast period depending on at least predicts a recorded wind parameter. It is therefore proposed to target the forecast to the yield of the individual wind turbine or the wind farm.
  • a wind strength or an air pressure is recorded on the wind turbine. From this, a power value for a rotor field of the wind energy installation is determined for a first point in time. The process is then repeated for a second point in time. From these two values determined in this way, a wind power gradient is then determined for a period in which the prediction operator is set as a function, in particular in order to even out the power output of the wind energy installation. Alternatively or additionally, the wind power gradient determined in this way can be compared with an average wind power gradient in order to set the prediction operator.
  • the wind parameter for example the wind speed, is also repeatedly recorded or measured continuously.
  • the wind speed is continuously recorded and a wind power gradient, i.e. a change in the wind speed over time, is determined therefrom for a sliding time window of, for example, 50 seconds, this wind power gradient being extrapolated into the future in order to predict a further wind power gradient.
  • a wind power gradient i.e. a change in the wind speed over time
  • the prediction operator is then selected such that the electrical power delivered by the wind energy installation to the electrical supply network is limited in time so that the feed-in of the wind energy installation does not lead to network disturbances or strong power fluctuations in the electrical supply network.
  • the wind power gradient thus predicted is used to create a prediction operator, depending on which one or the power gradient is set.
  • the prediction operator be set as a function of a wind power gradient.
  • the prediction operator is therefore, in particular, a parameter setting that takes future wind conditions into account and thus on the power output of the wind energy installation has the effect that this is steady or that the feed-in of the wind energy plant does not lead to grid disturbances or strong power fluctuations in the electrical supply network.
  • a prediction operator be determined from the current wind conditions, for example from the ratio of average to maximum wind speed, in particular in the form of a gradient which preferably indicates a gustiness of the wind.
  • the steady state operator is particularly concerned with the fact that the feed-in of the wind energy plant does not lead to grid malfunctions or strong fluctuations in power in the electrical supply network, without taking future wind conditions into account.
  • the steady-state operator preferably comprises a steady-state constant that is less than 1, in particular such that the electrical power gradient is less than the wind power gradient. It is therefore proposed in particular that the steady-state operator is selected such that the electrical power gradient of the wind power installation is smaller than the wind power gradient.
  • the wind power changes at 0.5 MW per minute and the electrical power gradient is 0.4 MW per minute.
  • the set electrical power gradient is smaller than the power gradient that would be possible according to the wind due to the steady state operator.
  • the continuation operator is therefore set as a function of a predeterminable value which is less than 1, for example 0.8.
  • the steady state operator is thus used in particular to steady the feed of the electrical power of the wind turbine.
  • the steady state operator preferably comprises a steady state constant which is between 0.4 and 0.6, preferably 0.5, the electrical power gradient being smaller than the wind power gradient.
  • the steady-state constant be selected such that it leads to the electrical power gradient essentially corresponding to half the wind power gradient. It was namely recognized according to the invention that such a stabilization constant leads to a particularly gentle behavior of the wind power plant on the electrical supply network.
  • the steady state operator additionally or alternatively comprises a power limit value for a maximum electrical wind turbine power that is smaller than a maximum wind power that was predicted by means of the at least one recorded wind parameter.
  • the steady-state operator preferably also has a limitation of the maximum electrical power.
  • the steady state operator is selected so that it takes into account the maximum wind turbine power. This is done, for example, using a limit value. For example, if the wind turbine generates 1.8 MW and has a maximum electrical wind turbine output of 2 MW, then the steady state operator would be selected so that the power gradient does not lead to the power to be generated exceeding the maximum electric wind turbine output.
  • the continuation operator preferably additionally or alternatively comprises a speed limit value of a maximum permissible generator speed change and / or a maximum permissible generator speed. It is therefore particularly preferably proposed that the steady state operator be further selected so that it takes into account the mechanical properties of the generator.
  • a maximum permissible generator speed change and / or a maximum permissible generator speed is preferably used for this.
  • the mechanical properties of the generator in particular the speed limit value and / or the maximum permissible generator speed change, are only taken into account in the full-load operation of the wind energy installation, in particular not taken into account in the part-load operation of the wind energy installation.
  • the stabilization operator is thus in particular intended to at least temporarily stabilize the power output of the wind energy installation, in particular in such a way that the feed-in of the wind energy installation does not lead to network disturbances or strong power fluctuations in the electrical supply network.
  • This effect can also be achieved with the aid of a predicted wind power, which is implemented, for example, by means of a prediction operator in the power control of the wind power plant, so that the feed-in of the wind power plant does not lead to grid disturbances or strong power fluctuations in the electrical supply network.
  • the prediction operator preferably comprises a prediction constant that is less than 1, in particular such that the electrical power gradient is smaller than the wind power gradient.
  • the prediction operator be selected such that the electrical power gradient of the wind energy installation is smaller than the wind power gradient.
  • the wind power changes at 1 MW per minute and the electrical power gradient is 0.7 MW per minute.
  • the prediction constant then has a value of 0.7.
  • the prediction constant is preferably set as a function of a predeterminable value, this being preferably determined as a function of a prediction. It is therefore proposed in particular not to determine the constant arbitrarily, but to select it in a manner dependent on a wind prediction, for example by using a LIDAR system which determines the future wind conditions, whereby a prediction constant can be specifically selected in this way by this quantification of the wind conditions that feeding the wind turbine does not lead to grid malfunctions or strong fluctuations in power in the electrical supply network.
  • the prediction operator preferably additionally or alternatively comprises a prediction constant which is between 0.4 and 0.6, preferably 0.5, in particular in such a way that the electrical power gradient is smaller than the wind power gradient.
  • the prediction operator additionally or alternatively comprises a prediction constant that is selected such that the electrical power gradient generates an electrical wind turbine work, starting with the beginning of the feed-in period with the initial feed-in time and ending with the end of the feed-in period with the end-feed-in time, that Amounts essentially correspond to wind work, beginning with the start of the forecast period with the start forecast time and ending with the end of the feed-in period with the end feed-in time.
  • a prediction constant that is selected such that the electrical power gradient generates an electrical wind turbine work, starting with the beginning of the feed-in period with the initial feed-in time and ending with the end of the feed-in period with the end-feed-in time, that Amounts essentially correspond to wind work, beginning with the start of the forecast period with the start forecast time and ending with the end of the feed-in period with the end feed-in time.
  • the prediction constant is selected such that the electrical work of the wind energy installation essentially corresponds to the wind work, only with a time delay.
  • the wind energy installation would initially generate more electrical energy than can be gathered from the prevailing wind.
  • the power deficit can then be compensated for, for example, by inertia storage from the rotor-generator train of the wind power installation or an additional electrical store.
  • the prediction operator additionally or alternatively comprises at least one power limit value for a maximum electrical wind turbine power that is smaller than a maximum wind power that was predicted by means of the at least one recorded wind parameter. It is therefore preferably proposed that the prediction operator take into account the maximum electrical wind turbine power.
  • the prediction operator preferably additionally has a limit on the maximum electrical power.
  • the prediction operator is selected so that it takes into account the maximum wind turbine power. This is done, for example, using a limit value. For example, if the wind turbine generates 1.2 MW and has a maximum electrical wind turbine output of 1.5 MW, the prediction operator would be selected such that the power gradient does not result in the power to be generated exceeding the maximum electric wind turbine power.
  • the prediction operator preferably additionally or alternatively includes a speed limit value of a maximum permissible generator speed change and / or a maximum permissible generator speed.
  • the prediction operator be further selected so that it takes into account the mechanical properties of the generator.
  • a maximum permissible generator speed change and / or a maximum permissible generator speed is preferably used for this.
  • the mechanical properties of the generator are only taken into account in the full-load operation of the wind power installation, in particular not taken into account in the part-load operation of the wind power installation.
  • the prediction operator is preferably selected such that the feed-in period begins with the feed-in time before the forecast period with the forecast time with a time shift.
  • the time shift can be specified in a predetermined interval. This means that the time shift can be specified as a boundary condition within certain limits. For example, it may make sense not to let the time lag be greater than 5 seconds in some locations and not greater than 30 seconds in other locations.
  • the prediction operator and / or the continuation operator is preferably selected such that the feed-in period ends with the feed-in time after the forecast period with the forecast time with a time shift.
  • the method according to the invention begins, for example, before a gust of wind occurs and is only ended after the gust of wind has subsided.
  • the method thus has two edges, a rising edge, that of the power increase, and a falling edge, that of the power reduction.
  • the power gradient of the electrical power generated by the wind energy installation be chosen to be flatter than the wind power gradient is or was predicted on the basis of the prevailing wind conditions.
  • the infeed of the wind turbine is steadied.
  • the operators are selected such that the electrical work of the wind energy installation corresponds to the work of the prevailing wind, the wind energy installation thus has essentially the same energetic state before and after the method according to the invention.
  • This is particularly advantageous in order to use the method according to the invention to go through short-term changes in wind conditions, such as, for example, wind gusts, in a manner that is gentle on the network.
  • the time shift can be predetermined in a predetermined interval, for example in an interval between 5 and 30 seconds.
  • the prediction operator and / or the continuation operator is preferably selected such that the electrical power generated is less than a maximum wind power that was predicted by means of the at least one recorded wind parameter.
  • the prediction operator and / or the steady-state operator is selected such that the electrical power changes more slowly than the wind power and preferably leads to a maximum electrical power that is less than a maximum wind power.
  • the wind energy plant thus generates at least two times less electrical power than can theoretically be derived from the wind. It is therefore deliberately avoided to generate electrical power in order to relieve the load on the electrical supply network or not to load it further or not to load it more than necessary. It is thus proposed in particular that the wind power plant be operated throttled for a short time in the event of strong wind fluctuations, in order to relieve the electrical supply network.
  • the forecast time is preferably not equal to the feed-in time, in particular with the forecast time being shorter than the feed-in time, preferably with the forecast time being shorter than half the feed-in time.
  • the feed-in process takes significantly longer than the forecast process. This preferably means that the feed-in process lasts significantly longer than the change in the prevailing wind conditions.
  • the feed-in period preferably begins with the feed-in time before the forecast period, in particular with electrical power being generated before the forecast period with a forecast time depending on the electrical power gradient created for a feed-in period with a feed-in period.
  • the wind power plant be paid in advance, in particular by storing mechanical inertia out of the rotor-generator system of the wind power plant. The withdrawal can then be repeated at the end of the process.
  • the electrical power generated is preferably generated by means of a wind power roaming the rotor field and a stored, in particular mechanical, power, the mechanical power being coupled out mechanically from the wind energy installation while changing the speed of a generator.
  • the method is thus preferably carried out using the mechanical inertia of the rotor-generator system of the wind power plant.
  • it is therefore proposed to provide electrical power by means of an inertia coupling from the rotor-generator system in order to stabilize the feed-in of the wind energy installation.
  • the at least one wind power gradient is preferably predicted using a LIDAR system, which is preferably oriented in such a way that it is directed towards a sector whose center is essentially perpendicular to the rotor field of the wind energy installation or a normal of the prevailing wind.
  • the electrical power be precontrolled with the aid of a LIDAR system.
  • the LIDAR system is especially aligned in such a way that it can predict the yield or potential yield of the wind turbine or wind farm as precisely as possible.
  • the electrical power gradient is preferably limited by means of a pilot control of the power control and / or a gradient limiter.
  • the power control thus has a limiting element which can be freely parameterized and which can be set by the operator of the wind energy installation, for example depending on the location of the wind energy installation.
  • the limitation takes place by means of a pilot control, which can be implemented, for example, with the aid of a LIDAR system.
  • the method according to the invention is preferably carried out using the inertia of the generator.
  • a ring generator is used for this purpose or a generator which is set up to form the highest possible moment of inertia.
  • a method for generating an electrical current comprises a method described above or below, wherein an electrical power gradient is set repeatedly, the repetitive power gradient having a sign which is opposite to the electric power gradient and wherein Performance gradients are essentially the same or different in amount. It is therefore proposed to set the power gradient, in particular continuously, so that the method according to the invention is used not only to increase the power but also to reduce the power and vice versa.
  • a wind power plant with a power control is also proposed, which is set up to carry out one of the above methods.
  • a wind farm is also proposed which has a wind farm control which is set up to carry out one of the above methods.
  • the wind farm has a wind farm control unit that is set up to control the individual wind energy installations of the wind farm, the wind farm control unit comprising the power control.
  • the wind farm control unit is thus set up to limit the power gradients of the individual wind turbines in such a way that the power output of the wind farm is limited.
  • the same power gradient can be specified for each wind energy installation or an individual power gradient can be specified for each wind energy installation, which is relative to the nominal system output.
  • the latter is particularly advantageous in relation to mixed parks, that is to say wind farms which have a large number of wind energy plants which are of a different type and a different nominal output.
  • Figure 1 shows schematically a perspective view of an inventive
  • FIG. 2 schematically shows a power control according to the invention of a wind turbine
  • FIG. 3 schematically shows the sequence of a method according to the invention in a block diagram
  • FIG. 4 schematically shows the sequence of a preferred method according to the invention
  • FIG. 5 schematically shows the sequence of a particularly preferred method according to the invention
  • Figure 6 schematically shows a wind farm according to the invention.
  • FIG. 1 shows a wind energy installation 100, in particular a wind farm, with a tower 102 and a nacelle 104.
  • a rotor 106 with three rotor blades 108 and a spinner 110 is arranged on the nacelle 104.
  • the rotor 106 roams through a rotor field A rotor and is rotated in operation by the wind, whereby a generator in the nacelle 104 is driven.
  • the generator thereby generates an electrical current, which is preferably modulated by means of an inverter and fed into an electrical supply network.
  • the inverter itself is controlled by means of a power control which is set up to carry out a method described above or below.
  • a LIDAR system 200 is provided in order to carry out a method described above or below using the wind energy installation 100.
  • FIG. 2 schematically shows a power control 150 according to the invention of a wind energy plant.
  • the power control 150 is part of the system control of the wind energy installation and comprises a power input signal Psoii, which is converted by the power control 150 by means of a gradient control 152 into a first power gradient dPi / dt.
  • This power gradient dPi / dt created in this way is converted according to the invention by means of a steady state operator V or a prediction operator P into an electrical power gradient dP A _eie k / dt, which is preferably flatter than the power gradient dPi / dt.
  • the electrical power gradient dPA_eiek / dt is then applied to an inverter or a power controller of the wind energy installation WT in order to generate an electrical power P A _eie k by means of the wind energy installation as a function of the created electrical power gradient dPA_eiek / dt for a feed-in period with a feed-in time.
  • the steady state operator V comprises at least, for example, a steady state constant ci that is less than 1, in particular such that the electrical power gradient dPA_eiek / dt is less than the wind power gradient dPw / dt and also or alternatively a prediction constant C2 that is between 0, 4 and 0.6, preferably 0.5, in particular such that the electrical power gradient d PA_eiek / dt is smaller than the wind power gradient dPw / dt and / or the first power gradient dPi / dt and also or alternatively a power limit value for a maximum electrical wind turbine power P A _max, which is smaller than a maximum wind power that was predicted by means of the at least one recorded wind parameter and also or alternatively a speed limit value of a maximum permissible generator speed change düJG_max and / or a maximum permissible generator speed u) G_max.
  • a steady state constant ci that is less than 1
  • the prediction operator P comprises at least, for example, a prediction constant ki that is less than 1, in particular in such a way that the electrical power gradient dPA_eiek / dt is less than the wind power gradient dPw / dt and also or alternatively a prediction constant k2 that is between 0, 4 and 0.6, is preferably 0.5, in particular in such a way that the electrical power gradient dPA_eiek / dt is smaller than the wind power gradient dPw / dt and also or alternatively a prediction constant k3 which is selected such that the electrical power gradient dPA_eiek / dt generates an electrical wind turbine work, beginning with the start of the feed-in period with the start feed-in time and ending with the end of the feed-in period with the end feed-in time, which essentially corresponds to a wind work amount, beginning with the start of the forecast period with the start forecast time and ending at the end of the feed-in period with the end feed-in
  • the power control is thus also set up to use the prediction operator P to carry out a gradient restriction described above or below with feedforward control, in particular using LIDAR and utilizing the inertia of the rotor, in particular the rotor-generator system.
  • the power control of the wind energy installation is set up to switch between a first operating mode with a stabilization operator V and a second operating mode with a prediction operator P.
  • the power control thus has two operating modes between which it is possible to switch, in particular as required and / or upon a signal from a network operator, or when the LIDAR signal is not available, for example due to fog or too clean air.
  • FIG. 3 schematically shows the sequence of a method according to the invention in a block diagram 300.
  • the method for feeding electrical power into an electrical supply network by means of at least one wind power plant having a power control and a generator initially comprises the step: creating an electrical power gradient dP A _eie k / dt for an electrical power P A _eie k to be generated by the wind power plant. This is indicated by block 310.
  • the creation of the electrical power gradient dP A _eie k / dt is described in particular in FIG. 2.
  • the electrical power gradient dP A _eie k / dt is then set in the power control 150 of the wind turbine. This is indicated by block 330.
  • An electrical power P A _eie k is then generated by means of the wind energy installation as a function of the electrical power gradient dP A _eie k / dt created for a feed-in period with a feed-in time. This is indicated by block 340.
  • FIG. 4 schematically shows the sequence of a preferred method 400 according to the invention, in particular a gradient restriction with power restriction, preferably using a reserve power and mass inertia of the rotor-generator system.
  • the upper diagram 410 shows the development of the wind Pw, which has a (forecast) wind power gradient dPw / dt, which leads to a wind turbine speed UJROT.
  • a wind power gradient dPw / dt is set which changes the wind turbine speed UJROT. This is shown in the upper diagram 410.
  • the electrical power gradient dP A _eie k / dt is now limited by means of a continuous operator, in particular in such a way that the electrical power gradient dP A _eie k / dt is smaller than the wind power gradient dPw / dt.
  • the power limitation leads to an electrical wind turbine work W A _eie k that is smaller than a wind work Ww that the prevailing wind provides.
  • FIG. 5 schematically shows the sequence of a particularly preferred method 500 according to the invention, in particular a gradient restriction with pilot control, preferably using a LIDAR system and using the inertia of the rotor.
  • the upper diagram 510 shows the development of the wind Pw, which has a (forecast) wind power gradient dPw / dt, which leads to a wind turbine speed UJROT.
  • a wind power gradient dPw / dt is set which changes the wind turbine speed UJROT. This is shown in the upper diagram 510.
  • the electrical power gradient dP A _eie k / dt is now set by means of a prediction operator such that the electrical power gradient dP A _eie k / dt is not equal to a predicted wind power gradient dPw / dt.
  • the prediction operator P is chosen such that the feed-in period begins with the feed-in time ⁇ t E before the forecast period with the forecast time Atp with a time shift At1.
  • the gradient limitation thus leads to an electrical wind energy plant work WA_eiek which is essentially equal to the wind work Ww which the prevailing wind makes available.
  • the power control thus includes a feedforward control that is achieved by means of a prediction operator that takes wind conditions into account.
  • FIG. 6 schematically shows a wind farm 1000 according to the invention, comprising a plurality of wind energy plants 100 and a wind farm controller 600, which is set up to carry out a method described above or below, in particular using a LIDAR system 200.
  • the LIDAR system 200 preferably detects a wind parameter Parwind, preferably the wind speed, in order to control the individual wind energy plants as a function of this parameter as above or below in such a way that the feed-in of the wind energy plants 100 or of the wind farm 1000 is continuous.
  • a wind parameter Parwind preferably the wind speed
  • a power control with feedforward control is also proposed, which is achieved by means of a prediction operator, which takes into account in particular the wind conditions that arise.
  • the wind farm control 600 or wind farm control unit 600 is preferably set up to limit the power gradients of the individual wind energy plants in such a way that the power output of the wind farm is limited.
  • the same power gradient can be specified for each wind energy installation or an individual power gradient can be specified for each wind energy installation, which is relative to the nominal system output.
  • the latter is particularly advantageous in relation to mixed parks, that is to say wind farms which have a large number of wind energy plants which are of a different type and a different nominal output.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Eletrric Generators (AREA)
  • Wind Motors (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

L'invention concerne un procédé pour injecter une puissance électrique (PWEA) dans un réseau d'alimentation électrique au moyen d'au moins une installation d'énergie éolienne (100) équipée d'une unité de commande de puissance (150) et d'un générateur. Le procédé selon l'invention comprend les étapes consistant : à établir un gradient de puissance électrique (dPA_elek/dt) pour une puissance électrique (PA_elek) à générer de l'installation d'énergie éolienne (100), ce gradient de puissance (dPA_elek/dt) étant limité au moyen d'un opérateur de constance (V) ou établi au moyen d'un opérateur de prédiction (P) de manière que ledit gradient de puissance électrique (dPA_elek/dt) ne soit pas égal à un gradient de puissance éolienne prédit (dPW/dt); à ajuster le gradient de puissance électrique (dPA_elek/dt) établi dans l'unité de commande de puissance (180) de l'installation d'énergie éolienne (100); à générer une puissance électrique (PA_elek) au moyen de l'installation d'énergie éolienne (100) en fonction du gradient de puissance électrique (dPA_elek/dt) établi pour un intervalle temporel d'injection ([tE1; tE2]) présentant une durée d'injection (ΔtE).
EP19736707.1A 2018-07-05 2019-07-05 Procédé pour injecter une puissance électrique dans un réseau d'alimentation électrique Pending EP3818614A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018116299.5A DE102018116299A1 (de) 2018-07-05 2018-07-05 Verfahren zum Einspeisen elektrischer Leistung in ein elektrisches Versorgungsnetz
PCT/EP2019/068103 WO2020008033A1 (fr) 2018-07-05 2019-07-05 Procédé pour injecter une puissance électrique dans un réseau d'alimentation électrique

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EP3818614A1 true EP3818614A1 (fr) 2021-05-12

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US (1) US11239662B2 (fr)
EP (1) EP3818614A1 (fr)
CN (1) CN112368903A (fr)
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WO (1) WO2020008033A1 (fr)

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ES2627818T3 (es) * 2001-09-28 2017-07-31 Wobben Properties Gmbh Procedimiento para el funcionamiento de un parque eólico
DE10341504A1 (de) * 2003-09-03 2005-06-09 Repower Systems Ag Verfahren zum Betrieb einer Windenergieanlage, Windenergieanlage und Verfahren zur Bereitstellung von Regelleistung mit Windenergieanlagen
DE102008047667A1 (de) * 2008-09-15 2010-03-25 Siemens Aktiengesellschaft Leistungsregelung für einen Windpark
US8076789B2 (en) * 2010-12-21 2011-12-13 General Electric Company System and method for controlling wind turbine power output
DE102012203334A1 (de) * 2012-03-02 2013-09-05 Wobben Properties Gmbh Verfahren zum Betreiben eines Kombikraftwerks bzw. Kombikraftwerk
DE102016101468A1 (de) 2016-01-27 2017-07-27 Wobben Properties Gmbh Verfahren zum Einspeisen elektrischer Leistung in ein elektrisches Versorgungsnetz
GB2551701A (en) 2016-06-21 2018-01-03 Univ Court Univ Of Edinburgh Control or processing system and method
CN106920008A (zh) * 2017-02-28 2017-07-04 山东大学 一种基于改进粒子群优化bp神经网络的风电功率预测方法

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CN112368903A (zh) 2021-02-12
US20210296899A1 (en) 2021-09-23
WO2020008033A1 (fr) 2020-01-09
US11239662B2 (en) 2022-02-01

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