GB2330256A - Wind energy system - Google Patents

Wind energy system Download PDF

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Publication number
GB2330256A
GB2330256A GB9727394A GB9727394A GB2330256A GB 2330256 A GB2330256 A GB 2330256A GB 9727394 A GB9727394 A GB 9727394A GB 9727394 A GB9727394 A GB 9727394A GB 2330256 A GB2330256 A GB 2330256A
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United Kingdom
Prior art keywords
grid
processor
output
wind turbine
power
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Granted
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GB9727394A
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GB9727394D0 (en
GB2330256B (en
Inventor
John Gillespie
John Olav Tande
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.)
GINEADOIRI GAOITHE TEICNEOLAIO
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GINEADOIRI GAOITHE TEICNEOLAIO
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Publication of GB9727394D0 publication Critical patent/GB9727394D0/en
Publication of GB2330256A publication Critical patent/GB2330256A/en
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Publication of GB2330256B publication Critical patent/GB2330256B/en
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Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P9/00Arrangements for controlling electric generators for the purpose of obtaining a desired output
    • H02P9/04Control effected upon non-electric prime mover and dependent upon electric output value of the generator
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D9/00Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/20Wind motors characterised by the driven apparatus
    • F03D9/25Wind motors characterised by the driven apparatus the apparatus being an electrical generator
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D9/00Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/20Wind motors characterised by the driven apparatus
    • F03D9/25Wind motors characterised by the driven apparatus the apparatus being an electrical generator
    • F03D9/255Wind motors characterised by the driven apparatus the apparatus being an electrical generator connected to electrical distribution networks; Arrangements therefor
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P2101/00Special adaptation of control arrangements for generators
    • H02P2101/15Special adaptation of control arrangements for generators for wind-driven turbines
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Abstract

A control unit 11 senses the phase voltages for each phase of a utility grid 2, and the control unit 11 also senses the three phase sum active and reactive powers of the grid 2. A microcomputer (24) in the control unit 11 processes the measured data to determine the maximum output power Plim which wind turbine driven generators 13, connected to the grid 2, can be permitted to generate. The limit value is sent from control unit 11 to a control processor 12 which changes the operating parameters of the wind turbines 13 to limit their output power to below Plim. The wind turbines 13 may be adjustable with respect to wind direction according to the output from control processor 12. The problem of over-voltage supply on a weakly loaded grid is thereby avoided.

Description

"A Wind Energy Svstem" The invention relates to a wind energy system, particularly for supply of electrical power to relatively weak grids.
Various proposals have been made for preventing over-voltage on a grid in circumstances where the wind energy system has a high output and the grid load is weak. These proposals include regulation of reactive power, management of the load, and energy storage. In one exarnple, if a suitable water system is available, and the cost is not too high in relation to the electrical benefits, energy storage may be used by pumping water during peak supply periods. However, there are many situations in which the reactive power may not be regulated, it is not possible to sufficiently manage the load, and hydroelectric systems are not available for energy storage.
The invention is therefore directed towards providing a system and method for overcoming the problems of over-voltage supply to weak grids.
According to the invention, there is provided a wind energy system for supply of electrical power to a utility grid, the system comprising: a wind turbine comprising means for connection to the grid; adjustment means for adjusting wind turbine output power; means for sensing grid voltage and outputting a grid voltage signal; and a controller comprising: an input interface for receiving the grid voltage signal; a processor comprising means for processing the grid voltage signal to generate an output signal to limit wind turbine output power; and an output interface for transmitting said output signal to the adjustment means.
By sensing grid voltage and processing this signal, the system can dynamically in real time respond to grid conditions in a way which maintains grid supply quality in a very simple manner. Very little additional installation expense is required and because sensing and processing is performed in real time, control is achieved to optimise wind energy system output while at the same time maintaining utility grid supply quality.
In one embodiment, the sensing means also comprises means for sensing grid active power and the processor comprises means for processing a signal representing grid active power and the grid voltage signal to generate the output signal. By sensing grid active power in addition to grid voltage, very accurate control can be achieved.
Preferably, the sensors comprise means for sensing three line voltages of the grid and the processor comprises means for using the maximum grid voltage value to determine the wind turbine maximum output power. By sensing all of the three voltage levels and only processing the maximum level, comprehensive control is achieved.
In one embodiment, the processor is initialised by storage of a default value for the maximum wind turbine output power and the processor comprises means for validating input parameters and setting the maximum wind turbine output power to the default value if validation is negative. This is an important default mechanism to ensure continuity of control for grid supply quality.
Preferably, the processor comprises means for determining that validation is negative if the absolute value of the short-circuit grid resistance minus the grid reactance times the tangent of the power factor angle is zero. This is a simple filtration mechanism to ensure accuracy of the processing.
In one embodiment, the controller input interface comprises voltage and impedance transducers comprising means for converting sensed values to current signals. Such transducers are very effective and reliable.
In another embodiment, the input interface further comprises an analog to digital converter comprising means for converting the analog current signals to digital signals suitable for processing by the processor. Preferably, said analog to digital converter comprises analog input modules and a bus terminal which polls the input modules for signals and routes digital signals to the processor. These are very simple and reliable circuits.
In one embodiment, the system further comprises current to voltage converters connected to convert the current signal outputs of the transducers to digital signals for monitoring of the measured values. Such monitoring is very important for test purposes as it allows early detection of any faults which may arise.
In one embodiment, the processor comprises means for operating in timed loops for performing screen and storage file data dumps.
Preferably, the data dumps are performed by initially calculating average values for the parameters over the period between the dumps and writing the average values.
In another embodiment, the processor comprises means for validating the wind turbine maximum power output value by determining that it lies within a tolerance range before outputting to the wind turbine.
Preferably, the output interface comprises a separate control processor connected to the processor and being programmed to output a control signal to the adjustment means.
The invention will be more clearly understood from the following description of some embodiments thereof, given by way of example only with reference to the accompanying drawings in which: Fig. 1 is a schematic diagram illustrating a wind energy system of the invention; Fig. 2 is a diagram illustrating a voltage control unit of the system in more detail; Figs. 3 to 6 inclusive are diagrams illustrating results achieved by the voltage control unit; and Figs. 7(a) and 7(b) are together a flow diagram illustrating operation of the voltage control unit.
Referring to the drawings, and initially to Fig. 1 there is illustrated a wind energy system 1 of the invention. The system 1 is shown connected to a utility grid 2 at a 38/10 kV transformer Point of Common Coupling (PCC). The system 1 comprises a tap 10 on the grid 2 and connected to a voltage control unit (VCU) 11. The VCU 11 is connected to a control processor 12, which is in turn connected to control five 600 kW wind turbines 13. The wind turbines 13 are adjustable with respect to wind direction to control system output according to the output of the control processor 12.
The control processor 12 is also connected to a meteorological station 14 to receive weather condition inputs for control purposes.
Referring particularly to Fig. 2, the VCU 11 is now described in more detail. The tap 10 comprises voltage and current transformers and is mounted at the 38 kV side of the 38/10 kV transformer.
Transducers 20 are connected to the tap 10 for conversion of the measured values to 4-20 mA DC signals. There is one transducer for each voltage signal U12, U23, and U31 and a single transducer for grid active power P and reactive power Q. The transducers 20 provide one signal for the three phase sum active power and the three phase sum reactive power, and one for each of the three line voltages. The transducers have an accuracy similar to class D.2 or better and a response time less than 300 msec.
The VCU 11 also comprises current to voltage converters 21 which convert the 4-20 mA signals to voltage signals in the range 0-10 V. These voltage signals appear at sockets 22 for monitoring purposes.
An A/D converter (ADC) 23 samples the 4-20 mA DC signals and converts them to digital signals compatible with a microcomputer. The converter 23 comprises two Interbus 5TM analog input modules and a bus terminal which polls the input modules for signals and routes the digital signals to a microcomputer 24. The microcomputer 24 is prograrnmed for reading the digital data, storing time series of sample data, calculating the maximum allowable wind farm output power Plim, and transmitting this limit value as a signal on an RS232 port to be read by the control processor 12.
The sampling rate per channel is at least two times the response frequency of the transducers 20.
In operation, the system 1 provides power to the grid 2. The highest voltage level is at the Point of Common Coupling (PCC) of the system i.e. at the 38/10 kV transformer. The graph of Fig. 3 illustrates how the voltage level depends on the consumer load level at the grid. If the load is less than 40% of the maximum level, the voltage level at the PCC may become critically high i.e. above 1.08 pu. It is at this point that the VCU must limit the system output. The graph of Fig. 4 illustrates how the VCU operates. It causes the control processor 12 to limit the maximum output power from the system so that the voltage is kept below 1.08 pu even if the load is reduced below 40%. In this example, as the load drops below 40% the system power output is reduced from c. 3000 kW to c. 500 kW. This action prevents the voltage from rising above 1.08 pu.
Referring now to Figs. 5 and 6, example voltage and power outputs with respect to time are given. In this example, the system has a maximum output of 5 MW and is connected to the grid with an estimated short circuit impedance of R = 2.5 Ohm and X = 2.5 Ohm. There is a voltage limit of 11.25 kV. As is clear from these diagrams, the VCU limits the output power to a little over 5 MW during hours with high load and down to 1 MW during hours with low load.
Referring now to Fig. 7, the manner in which the microcomputer 24 of the VCU 11 operates is now described. The VCU 11 reads the measured values of active power, reactive power, and line voltages and calculates the maximum permitted wind farm output, Plim. The following two tables set out the input parameters and the symbols used.
Table 1 Description of input parameters for VCU.
Parameter Description Default value Pset~0 default setting for Plim 2400 kW Pset~min minimum value for Plim 0kW Pset max maximum value for Plim 3000 kW Pstep discretisation step for Plim 10 kW T~read "loop-time" for reading measurement signals 0.025 sec T~screen "loop-time" for writing to screen 1 sec T~RS232 "loop-time" for writing to RS232 10 min T~file "loop-time" for writing to file 10 min Cosqhi wind farm power factor 0.95 R 0 short-circuit resistance of grid seen from wind farm 7.0 ohm short-circuit reactance of grid seen from wind farm 73.5 ohm Ulim maximum permitted voltage level 41.0 kV Table 2 Description of symbols.
Symbol Description Plim maximum permitted output power from the wind farm U 12 measured line voltage at the high voltage side of the transformer at the wind farm U23 measured line voltage at the high voltage side of the transformer at the wind farm U3 1 measured line voltage at 38 kV side of the transformer at the wind farm P measured sum active power at 38 kV side of the transformer at the wind farm Q measured sum reactive power at the high voltage side of the transformer at the wind farm UO calculated voltage in case of zero output form the wind farm U maximumofUl2,U23 and U3 1 N integer number The process flow is indicated generally by the numeral 30. In step 31 the processor reads in the input parameters as set out in Table 1 above. In step 32 the processor determines the tangent of the system power factor angle phi, sets the maximum power Plim to the default Pset-0, and determines an actual system impedance K as the absolute value (abs) of (R - X.tanghi). R and X are set in Table 1 above, the values being received from the grid utility.
In step 33, the processor validates the input parameters. This is based on the value of K. If zero, a warning signal is outputted in step 34, Plim is set to Pset-0 in step 35, and processing ends in step 36. This validation ensures that the inputted values R and X for the grid are within reasonable limits and ensures that numerical errors do not arise in subsequent processing.
The loop time for reading measurement signals is determined in step 37 and at each such time the processor in step 38 reads Ul2, U23, U31, P, and Q. The maximum line voltage U is determined in step 39 and U is then used to determine Plim. Other factors used are Ulim, R and X (as represented by K), all of which are pre-set grid values. The measured values used are U and P. Q is represented indirectly in the system power factor angle used to determine K. It is not a particularly important parameter because it is assumed that the system power factor is constant. Thus, the primary sensed parameters are U and P. The processor in step 39 determines Plim as a safe value consistent with maximising the system output for commercial purposes.
At the loop time for writing to the screen as determined by step 40, in step 41 the processor writes Ul2, Uu, U31, P, Q, and Plim to the screen as average values for the T~screen period.
At the loop time for writing to the RS232 port (every 10 minutes) as indicated by the step 42, the processor in step 43 determines the average Plim over the period and rounds it down to an integer times the discretisation step. It then performs validation checks to set the value at the maximum or minimum values if it is outside the tolerance range. It then writes the value to the RS232 port from whence it is transmitted to the control processor 12. The control processor 12 is programmed to change the operating parameters of the wind turbines 13 to limit the output power to below Plim.
As indicated by the step 44, at the loop time for writing to file (10 minute periods), the processor writes U12, U23, U31, P, Q, and Plim to the file as average values over the time period.
If the process is to terminate, Plim is set as Pset~0 in step 35 or alternatively the process flow returns to step 37.
The VCU 11 operates also as a data acquisition system. The captured data includes the sum active power, sum reactive power, and the three line voltages, as well as the calculated maximum permitted output power. This data is stored as accessible text files, one for each month, containing time series with 10 minutes average value and 10 minutes standard deviation values, and minimum and maximum values. This data is very important for data analysis for projecting future system requirements and limitations. The information is useful not only to the system management, but also to the grid utility management.
It will be appreciated that the invention allows connection of a wind energy system which has a potentially high output to a grid which is regarded as being weak. This is achieved in a very simple an inexpensive manner. It is envisaged that the cost of lost power output will be relatively small.
The invention is not limited to the embodiments described, but may be varied in construction and detail within the scope ofthe claims.

Claims (14)

  1. Claims 1. A wind energy system for supply of electrical power to a utility grid, the system comprising: a wind turbine comprising means for connection to the grid; adjustment means for adjusting wind turbine output power; means for sensing grid voltage and outputting a grid voltage signal; and a controller comprising: an input interface for receiving the grid voltage signal; a processor comprising means for processing the grid voltage signal to generate an output signal to limit wind turbine output power; and an output interface for transmitting said output signal to the adjustment means.
  2. 2. A system as claimed in claim 1, wherein the sensing means also comprises means for sensing grid active power and the processor comprises means for processing a signal representing grid active power and the grid voltage signal to generate the output signal.
  3. 3. A system as claimed in claim 2, wherein the sensors comprise means for sensing three line voltages of the grid and the processor comprises means for using the maximum grid voltage value to determine the wind turbine maximum output power.
  4. 4. A system as claimed in any of claims 1 to 3, wherein the processor is initialised by storage of a default value for the maximum wind turbine output power and the processor comprises means for validating input parameters and setting the maximum wind turbine output power to the default value if validation is negative.
  5. 5. A system as claimed in claim 4, wherein the processor comprises means for determining that validation is negative if the absolute value of the short-circuit grid resistance minus the grid reactance times the tangent of the power factor angle is zero.
  6. 6. A system as claimed in any preceding claim, wherein the controller input interface comprises voltage and impedance transducers comprising means for converting sensed values to current signals.
  7. 7. A system as claimed in claim 6, wherein the input interface further comprises an analog to digital converter comprising means for converting the analog current signals to digital signals suitable for processing by the processor.
  8. 8. A system as claimed in claim 7, wherein said analog to digital converter comprises analog input modules and a bus terminal which polls the input modules for signals and routes digital signals to the processor.
  9. 9. A system as claimed in claims 7 or 8, further comprising current to voltage converters connected to convert the current signal outputs of the transducers to digital signals for monitoring of the measured values.
  10. 10. A system as claimed in any preceding claim, wherein the processor comprises means for operating in timed loops for performing screen and storage file data dumps.
  11. 11. A system as claimed in claim 10, wherein the data dumps are performed by initially calculating average values for the parameters over the period between the dumps and writing the average values.
  12. 12. A system as claimed in claims 10 or 11 wherein the processor comprises means for validating the wind turbine maximum power output value by determining that it lies within a tolerance range before outputting to the wind turbine.
  13. 13. A system as claimed in any preceding claim, wherein the output interface comprises a separate control processor connected to the processor and being programmed to output a control signal to the adjustment means.
  14. 14. A system substantially as hereinbefore described, with reference to and as illustrated in the accompanying drawings.
GB9727394A 1997-10-07 1997-12-29 A wind energy system Expired - Fee Related GB2330256B (en)

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IE970724 IES78624B2 (en) 1997-10-07 1997-10-07 A wind energy system

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GB2330256B GB2330256B (en) 2001-07-11

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Cited By (14)

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Publication number Priority date Publication date Assignee Title
WO2001086143A1 (en) * 2000-05-11 2001-11-15 Aloys Wobben Method for operating a wind power station and wind power station
WO2003030329A1 (en) * 2001-09-28 2003-04-10 Aloys Wobben Method for operating a wind park
WO2005015012A1 (en) * 2003-08-07 2005-02-17 Vestas Wind Systems A/S Method of controlling a wind turbine connected to an electric utility grid during malfunction in said electric utility grid, control system, wind turbine and family hereof
WO2005031160A2 (en) * 2003-09-25 2005-04-07 Repower Systems Ag Wind power plant comprising a reactive power module for supporting a power supply system and corresponding method
WO2006119649A1 (en) * 2005-05-13 2006-11-16 Arrowind Corporation Energy distribution micro grid
EP1746285A2 (en) * 2005-07-20 2007-01-24 General Electric Company Method and apparatus for controlling windfarms and windfarms controlled thereby
EP1841037A2 (en) * 2006-03-29 2007-10-03 General Electric Company System, method, and article of manufacture for determining parameter values associated with an electrical grid
US7462946B2 (en) 2001-04-20 2008-12-09 Aloys Wobben Method for operating a wind energy plant
US7649282B2 (en) 2006-07-13 2010-01-19 Nordex Energy Gmbh Wind park and method for the operation of a wind park
WO2010086032A2 (en) * 2009-01-30 2010-08-05 Siemens Aktiengesellschaft Power system frequency inertia for power generation system
CN102032107A (en) * 2010-12-07 2011-04-27 北京交通大学 Method and device for processing wind power monitoring system data
US20110285130A1 (en) * 2009-01-30 2011-11-24 Jan Thisted Power System Frequency Inertia for Wind Turbines
US8860237B2 (en) 2012-10-15 2014-10-14 General Electric Company System and method of selecting wind turbine generators in a wind park for curtailment of output power to provide a wind reserve
US8912674B2 (en) 2012-10-15 2014-12-16 General Electric Company System and method of selecting wind turbine generators in a wind park for change of output power

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DK1467463T3 (en) 2003-04-09 2017-03-27 Gen Electric Wind farm and method for operating it

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Cited By (44)

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AU2005201920B2 (en) * 2000-05-11 2009-05-07 Aloys Wobben A wind power station and a method of operating a wind power station
EP1371846A2 (en) * 2000-05-11 2003-12-17 Aloys Wobben Wind energy plant and method for operating a wind energy plant
EP1371846A3 (en) * 2000-05-11 2004-01-07 Aloys Wobben Wind energy plant and method for operating a wind energy plant
WO2001086143A1 (en) * 2000-05-11 2001-11-15 Aloys Wobben Method for operating a wind power station and wind power station
EP2275675A3 (en) * 2000-05-11 2014-03-26 Aloys Wobben Wind energy plant and method for operating a wind energy plant
AU780986B2 (en) * 2000-05-11 2005-04-28 Aloys Wobben Method for operating a wind power station and wind power station
US6891281B2 (en) 2000-05-11 2005-05-10 Aloys Wobben Method for operating a wind power station and wind power station
US7462946B2 (en) 2001-04-20 2008-12-09 Aloys Wobben Method for operating a wind energy plant
EP2113980B1 (en) 2001-09-28 2016-02-24 Wobben Properties GmbH Method for operating a wind farm
EP2275674A3 (en) * 2001-09-28 2015-01-28 Aloys Wobben Method for operating a wind park
AU2002340927B2 (en) * 2001-09-28 2006-09-14 Aloys Wobben Method for operating a wind park
US7830029B2 (en) 2001-09-28 2010-11-09 Aloys Wobben Method for operating a wind park
EP2113980A3 (en) * 2001-09-28 2013-05-22 Aloys Wobben Method for operating a wind farm
US8301313B2 (en) 2001-09-28 2012-10-30 Aloys Wobben Method of reducing power provided by a wind power installation based on network conditions
US7638893B2 (en) 2001-09-28 2009-12-29 Aloys Wobben Method for operating a wind park
EP2113980A2 (en) * 2001-09-28 2009-11-04 Aloys Wobben Method for operating a wind farm
US7392114B2 (en) 2001-09-28 2008-06-24 Aloys Wobben Method for operating a wind park
WO2003030329A1 (en) * 2001-09-28 2003-04-10 Aloys Wobben Method for operating a wind park
DE60310143T3 (en) 2003-08-07 2019-10-24 Vestas Wind Systems A/S METHOD FOR CONTROLLING A WIND TURBINE DURING A MALFUNCTION IN THE ELECTRICAL NETWORK, CONTROL SYSTEM, WIND ENERGY SYSTEM AND ITS FAMILY
CN100347442C (en) * 2003-08-07 2007-11-07 维斯塔斯风力系统有限公司 Method of controlling wind turbine connected to electric utility grid during malfunction therein, control system, wind turbine and family hereof
AU2003250314B2 (en) * 2003-08-07 2007-10-18 Vestas Wind Systems A/S Method of controlling a wind turbine connected to an electric utility grid during malfunction in said electric utility grid, control system, wind turbine and family hereof
US7834472B2 (en) 2003-08-07 2010-11-16 Vestas Wind Systems A/S Method of controlling a wind turbine connected to an electric utility grid during malfunction in said electric utility grid, control system, wind turbine and family hereof
WO2005015012A1 (en) * 2003-08-07 2005-02-17 Vestas Wind Systems A/S Method of controlling a wind turbine connected to an electric utility grid during malfunction in said electric utility grid, control system, wind turbine and family hereof
US7741728B2 (en) 2003-09-25 2010-06-22 Repower Systems Ag Wind power plant comprising a reactive power module for supporting a power supply system and corresponding method
WO2005031160A2 (en) * 2003-09-25 2005-04-07 Repower Systems Ag Wind power plant comprising a reactive power module for supporting a power supply system and corresponding method
DE10344392A1 (en) * 2003-09-25 2005-06-02 Repower Systems Ag Wind turbine with a reactive power module for grid support and method
WO2005031160A3 (en) * 2003-09-25 2005-06-09 Repower Systems Ag Wind power plant comprising a reactive power module for supporting a power supply system and corresponding method
WO2006119649A1 (en) * 2005-05-13 2006-11-16 Arrowind Corporation Energy distribution micro grid
EP1746285A2 (en) * 2005-07-20 2007-01-24 General Electric Company Method and apparatus for controlling windfarms and windfarms controlled thereby
EP1746285A3 (en) * 2005-07-20 2012-09-05 General Electric Company Method and apparatus for controlling windfarms and windfarms controlled thereby
EP1841037B1 (en) * 2006-03-29 2017-12-06 General Electric Company System, method, and article of manufacture for determining parameter values associated with an electrical grid
EP1841037A2 (en) * 2006-03-29 2007-10-03 General Electric Company System, method, and article of manufacture for determining parameter values associated with an electrical grid
US7649282B2 (en) 2006-07-13 2010-01-19 Nordex Energy Gmbh Wind park and method for the operation of a wind park
US20110285130A1 (en) * 2009-01-30 2011-11-24 Jan Thisted Power System Frequency Inertia for Wind Turbines
CN102257721B (en) * 2009-01-30 2014-06-25 西门子公司 Power system frequency inertia for power generation system
WO2010086032A2 (en) * 2009-01-30 2010-08-05 Siemens Aktiengesellschaft Power system frequency inertia for power generation system
CN102301584B (en) * 2009-01-30 2015-03-25 西门子公司 Method for frequency and power swing of wind turbine system and stability utility system
US8994200B2 (en) 2009-01-30 2015-03-31 Siemens Aktiengesellschaft Power system frequency inertia for power generation system
CN102257721A (en) * 2009-01-30 2011-11-23 西门子公司 Power system frequency inertia for power generation system
WO2010086032A3 (en) * 2009-01-30 2011-05-05 Siemens Aktiengesellschaft Power system frequency inertia for power generation system
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IES970724A2 (en) 1998-02-25
IES78624B2 (en) 1998-02-25
GB2330256B (en) 2001-07-11

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