JP2014148983A - Wind power generation system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To suppress voltage fluctuation of a plurality of wind power generators arranged in a remote location and facilitate operation continuance of wind mills, in order to solve the problem that in a wind farm with a wind power generation system, a risk that a synchronization phenomenon occurs gets higher, and thereby it is difficult for operation continuance at the time of voltage drop from an electric power system side.SOLUTION: When voltage of an electric power system is an abnormal value, correlation of voltage fluctuation between a plurality of wind power generation systems constituting a wind farm is calculated, and it is determined whether a synchronization phenomenon occurs. Consequently, a pitch angle of a blade is changed with respect to a wind power generation system contributing to the synchronization phenomenon.

Description

  The present invention relates to a wind power generation system, and more particularly to a wind power generation system that controls a plurality of wind power generation devices in order to stabilize the quality of power generated by wind power generation.

  Wind power generation is a power generation method in which wind kinetic energy is converted into kinetic energy called rotation by a windmill or a propeller, and the rotation is increased by a speed increaser or the like, and then converted into electric energy by moving the generator.

  In recent years, wind power generation systems have been introduced around the world as renewable energy, and in recent years, introduction support measures such as subsidies for lowering the cost of wind power generation facilities due to mass production and technological advancement, etc. As a result, the average annual growth rate is about 30%, and the natural energy-based power generation system is growing rapidly along with solar power generation.

  When installing wind power generation equipment, the wind speed can be secured to a certain level, that is, in addition to good wind conditions, there are roads for carrying materials for wind power generation equipment such as blades and towers. A transmission line is needed to send out the power.

  As a general method of wind power generation, a wind farm is formed by introducing a plurality of wind turbines side by side in a place that satisfies certain conditions with strong wind. In general, when viewed as a power source, wind power generation facilities have characteristics that are significantly different from those of conventional power sources, such as significant output fluctuations. In addition, considering the funds for securing land and places with good wind conditions, wind power generation is a power source that is particularly concerned about the impact on the grid among distributed power sources because it will be linked to a weak grid. is there. For this reason, there is a possibility that output fluctuations of individual wind power generators may be leveled by the wind farm, but there are many technical problems at present [Non-Patent Document 1].

  Specifically, there are concerns about the impact on the power system due to the large-scale introduction of wind power generators, and it is necessary to avoid accidents such as voltage drops due to wind turbine abnormalities. On the other hand, wind power generators are often installed in mountainous areas with good wind conditions and areas along the coast, and are remote areas. For this reason, it is necessary to detect the abnormality of the wind power generator in the remote place and to suppress the spread to the electric power system.

  For this reason, in [Patent Document 1], when a system failure occurs in a power system in which a large number of distributed power sources such as wind power / solar power generators are arranged in parallel, the distributed power source transfer cutoff system is a distributed power source. A technique is disclosed in which after abnormal data is acquired from a power source, power transmission is interrupted by remote operation, and isolated operation is avoided by disconnecting from the power system by interrupting transfer of the distributed power source.

  On the other hand, it has been reported that a “synchronization phenomenon” between wind turbines occurs under a condition where a large number of wind power generators are linked like a wind farm. According to this report, there is a report that the voltage fluctuation of 1 Hz order caused by the tower shadow effect is amplified to 3N times at worst when the number of wind turbines is N [Non-Patent Document 1] [Non-Patent Document 1] Patent Document 2]).

  For this reason, wind farms that will become increasingly larger and more interconnected in the future will have an increased risk of synchronization and will be difficult to operate continuously when the voltage drops from the power system. Is a problem.

JP 2005-198446 A

ENERGY 2004-8 P74-77 Special issue Grid connection and power distribution technology Wind farm and its system influence Can wind power generation be referred to as "ordinary power supply"? IEEJ Transaction B Vol.124, No.9, 2004 "Theoretical study of wind generator synchronization phenomenon in wind farm"

  The problem to be solved by the present invention is to provide a wind power generation system that suppresses voltage fluctuations of a large number of wind power generators arranged.

  In order to achieve the above object, the present invention provides a wind power generation system including a plurality of wind power generators constituting a wind farm, a blade capable of changing a pitch angle, a rotor mechanically connected to the blade, A generator driven by the rotor; a power converter that is electrically connected to the generator and that controls power output from the generator to a power system; and pitch angle control means that controls the pitch angle. An abnormality detection means for detecting an abnormal state of the power system or the wind power generation system, a first pitch angle control means when the abnormality detection means does not detect an abnormality, and when the abnormality detection means detects an abnormality Second pitch angle control means, and the second pitch angle control means maintains the rotational speed of the rotor at a rotational speed at which the wind power generation system can perform power generation operation. It is characterized in.

  Further, in the wind power generation system according to the present invention, the first predetermined value and a second predetermined value smaller than the first predetermined value are set, and the second pitch angle control means is configured to rotate the rotor. When the speed is smaller than the upper limit value of the rotational speed of the rotor capable of power generation operation of the wind power generation system and larger than the first predetermined value, the pitch angle is fixed to a predetermined value, and the rotational speed of the rotor However, when the wind power generation system is larger than the lower limit value of the rotation speed of the rotor capable of generating operation and smaller than the second predetermined value, the pitch angle is set to the maximum angle.

  Further, in the wind power generation system according to the present invention, the second pitch angle control means is a control means for setting a target value of the rotation speed of the rotor to a constant value within a rotation speed range in which the wind power generation system can perform power generation operation. It is characterized by being.

  Furthermore, the present invention is characterized in that in the wind power generation system, the abnormality detecting means detects that the voltage amplitude value of the power system is larger or smaller than a predetermined range.

  Furthermore, in the wind power generation system according to the present invention, the abnormality detection means detects an abnormality of the voltage amplitude value by calculating a correlation between a plurality of wind power generators constituting the wind farm. Is.

  Furthermore, in the wind power generation system according to the present invention, the abnormality detection means calculates a correlation regarding fluctuations in voltage fluctuation frequency between a plurality of wind power generators constituting the wind farm, thereby synchronizing the wind power generators. An abnormality of the voltage amplitude value due to is detected.

  Further, in the wind power generation system according to the present invention, a wind farm monitoring device that sorts by a calculation device in descending order of correlation coefficient between the wind power generators, lists candidates for transmitting pitch angle commands, and stores them in a main storage device It is characterized by comprising.

  Furthermore, in the wind power generation system according to the present invention, a wind farm monitoring device that monitors the wind farm is provided, and a difference between a time when the acquired wind turbine end voltage arrives at the wind farm monitoring device and a time when the wind turbine end voltage is measured is measured. The successive comparisons are made, and when there is a large variation, the acquired wind turbine end voltage value is discarded.

Furthermore, the present invention comprises a wind farm monitoring device for monitoring the wind farm in a wind power generation system, and the wind farm monitoring device performs a Fourier transform on time series data of time and voltage at a connection point to obtain a power spectrum. When the voltage fluctuation period at the interconnection point is around 2 Hz and the voltage fluctuation width deviates from the V constraint, the time, windmill end voltage, and wind power generator are specified from each wind power generator. Means for acquiring the wind farm ID for identifying the wind farm ID for identifying the wind farm via the communication network, and in order to grasp the degree of synchronization between the wind generators, The correlation coefficient is calculated, and the correlation coefficient calculation method is
Average value u_m = ΣV_m (t) with model ID m
Average value u_n = ΣV_n (t) of model ID n
Correlation coefficient = Σ (V_m (t) −u_m) * (V_n (t) −u_n)
It is characterized by being.

  Furthermore, the present invention provides a wind farm monitoring device for monitoring the wind farm in the wind power generation system, and the wind farm monitoring device sorts the pitch angle by the arithmetic device in descending order of the correlation coefficient between the wind power generators. The candidates for command transmission are listed and stored in a storage device.

  Further, in the wind power generation system according to the present invention, candidates for transmitting the pitch angle command are searched for by searching for P and Q of each wind power generator, sorting in advance in descending order of the correlation coefficient between the wind power generators. A high-order wind power generator is selected from the results stored in the list and stored in the storage device.

  Furthermore, the present invention is characterized in that, in the wind power generation system, the top 30% of the wind power generators are selected from the results stored in the storage device.

  Furthermore, the present invention includes a wind farm monitoring device for monitoring the wind farm in the wind power generation system, and the wind farm monitoring device is configured to correct each wind force in order to correct a deviation from the P, Q, V constraint at the interconnection point. A wind power generation system comprising means for performing an optimization calculation by executing a sequential power flow calculation of P and Q of a generator and using an objective function of the following optimization calculation.

Objective function of optimization calculation = ΔP × ΔP + ΔQ × ΔQ + ΔV × ΔV
Furthermore, the present invention is characterized in that in the wind power generation system, the optimization calculation is a means such as a Monte Carlo + local search, a genetic algorithm, a PSO, or a tab search.

  Furthermore, in the wind power generation system according to the present invention, when the voltage of the power system is an abnormal value, a correlation of voltage fluctuations among a plurality of wind power generation systems constituting the wind farm is calculated, and a synchronization phenomenon occurs. The rotational speed of the rotor is controlled within a certain range by changing the pitch angle of the blade with respect to the wind power generation system that contributes to the synchronization phenomenon, and The generator-side converter controls the reactive power to the synchronous generator.

  According to the present invention, it is possible to suppress voltage fluctuation of the power system against the synchronization phenomenon unique to the wind farm.

The wind farm structure in this invention. Explanatory drawing of a tower shadow effect. Model for calculating voltage flicker. System voltage fluctuation due to tower shadow effect. Wind turbine end voltage acquisition flow in the wind farm monitoring device. Flow of pitch angle command value transmission in wind farm monitoring device. Operating cycle in wind farm monitoring device. The hardware configuration of the wind farm monitoring device. Processing flow of the wind farm monitoring device. Data structure of interconnection point setting DB. Data structure of the tower shadow effect determination setting DB. Data structure of wind speed-pitch angle-PDB. The process of calculating the rotation angle of a wind power generator.

  Examples of the present invention will be described.

  FIG. 1 shows a wind farm configuration according to the present invention. The wind power generator 100 includes wind turbines such as blades, towers, and nacelles, buildings that support the wind turbines, and a generator that converts the rotational energy of the wind turbines into electrical energy. These wind power generators are connected by a transmission line 102 and connected to a connection point 104 that is a power transmission network of the power company, and the power generated by the wind power generator is provided from the wind farm to the power company. . The wind farm monitoring device 110 is connected to each wind power generator via a communication network, and the wind farm monitoring device 110 can monitor information obtained by measuring the wind turbine end voltage and generated power of each wind power generator. It becomes possible. Furthermore, the wind farm monitoring device 110 collects the results of measurement of the voltage and power at the interconnection point, and confirms whether the output of the wind farm meets the contract conditions with the power company.

  FIG. 2 is a diagram illustrating the tower shadow effect. The tower shadow effect is such that the active power P and the reactive power Q202 are weakened by the wind force when the blades of the windmill come to a position overlapping the tower (206), and the active power P and the reactive power Q204 change.

  The temporal change of the effective power P is shown (graph 208). Due to this phenomenon, the wind turbine end voltage V fluctuates periodically (graph 210). This phenomenon is unique to wind power generators with blades.

FIG. 3 shows mathematical models (Equation 1) and (Equation 2) for calculating the voltage flicker. Voltage flicker is periodical voltage variation, using the correction term that humans are likely perceived as flickering voltage fluctuation frequency (approximately 10 Hz) flicker as the greatest effect of the voltage fluctuates around visibility characteristic a _n (number 2) Thus, it is a model for quantifying the influence on human subjectivity and is called ΔV10 (Equation 1).

  FIG. 4 shows the state of fluctuation caused by the tower shadow effect by each wind power generator with respect to the system voltage 408. According to the above-mentioned [Non-Patent Document 1], in the case of an induction generator, the power from the grid is used to excite the rotor in the wind power generator. Based on the fluctuation of power from this grid, Since the rotation cycle of the induction generators matches the cycle of the tower shadow effect, the fluctuation cycles of the power generation end voltages 402, 404, and 406 match between the wind power generators. At this time, the voltage fluctuation 408 on the system side is 3N times the voltage fluctuation of the individual wind power generators 412, 414, 416.

  FIG. 5 shows an operation for suppressing the synchronization phenomenon caused by the tower effect effect in the wind farm. First, the wind farm monitoring device periodically acquires the time and the wind turbine end voltage from each wind power generator. The acquisition period of these times and windmill end voltages is set to 0.2 seconds by design assuming that the tower effect effect occurs at 1 to several Hz. The difference between the time when the acquired wind turbine end voltage arrives at the wind farm monitoring device and the time when the wind turbine end voltage was measured is tracked sequentially, and if there is a large fluctuation, the acquired wind turbine end voltage value is discarded. To do. With this process, it is possible to prevent the control beyond the delay assumed when the pitch angle control is performed in the subsequent process. By this processing, it is possible to suppress an unnecessary decrease in the wind power generator output.

  FIG. 6 shows that the wind farm monitoring device transmits a pitch angle command value to each wind power generator via a communication network to increase or decrease the rotational speed of the wind turbine, thereby causing the tower of each wind power generator to It shows that the system voltage 408 is leveled by shifting the phase of the shadow effect.

  Specifically, based on the wind turbine end voltage of the wind power generator 412, the pitch angle of the wind power generator 414 is adjusted to increase the rotation speed, the phase of the wind turbine end voltage of the wind power generator 414 is advanced, and the wind power generation The system voltage 408 is leveled by adjusting the pitch angle of the machine 416 and reducing the rotational speed to delay the phase of the wind turbine end voltage.

  FIG. 7 shows that the periodic control operation of the wind farm monitoring apparatus is continuously performed.

  The processing configuration and processing flow in the wind farm monitoring apparatus will be described with reference to the following drawings.

  FIG. 8 shows the hardware configuration of the wind farm monitoring apparatus. The wind farm monitoring device includes an arithmetic device 502 such as a CPU, a main storage device 504 such as a DRAM, a control device 506, a bus 510 for exchanging information between various devices in the wind farm monitoring device, and each wind power generator. The communication device 508 such as a LAN interface for performing communication and the auxiliary storage device include an interconnection point setting DB 512, a pitch angle-P-rotational speed DB 514, and a tower shadow effect determination setting DB 516.

  FIG. 9 shows a processing flow of the wind farm monitoring apparatus. The wind farm monitoring apparatus acquires P, Q, and V constraints at the connection point from the connection point setting DB (S100). Since these restrictions are restrictions determined by a contract between the electric power company and the wind farm operating company, they are values set by the wind farm operating company. As a standard for these settings, when surplus power generated by a windmill is sold to an electric power company, the power, quality, reliability, security, etc. of the existing power are affected by the connection, and other power users It is necessary for the wind power generator installation side to take technically appropriate measures to avoid the loss of power. When the “system interconnection technical requirement guideline” is established as a standard of technical requirements for grid interconnection, the “distributed power system interconnection technical guideline” is usually used as a private technical guideline. Has been published.

Next, the wind farm monitoring apparatus acquires the time and voltage at the interconnection point via the communication network (S101). Furthermore, the wind farm monitoring device creates a power spectrum by Fourier-transforming the time-series data of time and voltage at the interconnection point. If the voltage fluctuation period at the interconnection point is around 2 Hz and the voltage fluctuation range is V-constrained. (S102), if this condition is met, the time, wind turbine end voltage, model ID for identifying the wind power generator, and wind farm are identified from each wind power generator. A wind farm ID is acquired through the communication network (S103). Thereafter, in order to grasp the degree of synchronization between the wind power generators, a correlation coefficient between the wind power generators is calculated (S104). The correlation coefficient calculation method is as follows:
Average value u_m = ΣV_m (t) with model ID m
Average value u_n = ΣV_n (t) of model ID n
Correlation coefficient = Σ (V_m (t) −u_m) * (V_n (t) −u_n)
Assuming that the range of Σ is 10 points, when voltage is sampled at a period of 0.2 seconds, data for 2 seconds is obtained.

  Next, the wind farm monitoring apparatus sorts by the arithmetic device in descending order of the correlation coefficient between the wind power generators, lists candidates for transmitting the pitch angle command, and arranges them in the main storage device (S105).

  Next, tidal current calculation is performed based on P of the wind power generator after control by the listed pitch angle command value candidates (S106).

  Next, ΔP, ΔQ, and ΔV are deviations from the P, Q, and V constraints at the interconnection point by tidal current calculation. In order to realize this correction, optimization calculation is performed by executing sequential power flow calculation of P and Q of each wind power generator (S107).

Objective function of optimization calculation = ΔP × ΔP + ΔQ × ΔQ + ΔV × ΔV
For optimization calculation, methods such as Monte Carlo + local search, genetic algorithm, PSO, and tab search can be applied.

  That is, the deviation is introduced into the objective function as a penalty. The variables to be searched at this time are P and Q of each wind power generator. In order to shorten the processing time, among the results of sorting by the arithmetic device in descending order of correlation coefficient between wind power generators in advance, listing candidates for transmitting pitch angle commands, and placing them in the main storage device The search space can be limited by selecting the top 30%. The value of the upper 30% is a parameter that is installed and set in advance by the wind farm operator in the wind farm monitoring apparatus, and the setting can be changed. The parameter value may be determined by the interconnection point voltage and the upper limit of the allowable voltage fluctuation range.

  If P, Q of each wind power generator that does not deviate from P, Q, V at the interconnection point by tidal current calculation is determined, the pitch angle command value that becomes P is the pitch angle-P-rotation speed. It searches from DB514 and transmits the pitch angle command value with respect to each wind power generator via a communication network (S108). On the other hand, if it deviates, the process returns to step 106 and the calculation is performed again.

  A method for determining the pitch angle command value will be described with reference to the following drawings.

  FIG. 10 shows the data structure of the interconnection point setting DB 512 that the wind farm monitoring apparatus has with an auxiliary storage device or the like. In this data structure, the maximum value and minimum value of the active power P at the connection point, the maximum value and minimum value of the reactive power Q at the connection point, and the maximum value and minimum value of the voltage V at the connection point are stored as data. Is done. The values of these data structures are values set by the wind farm operating company that owns the wind farm monitoring device according to the contract conditions with the power company, and are changed by updating the contract conditions.

  FIG. 11 shows a data structure of the tower shadow effect determination setting DB 516 that the wind farm monitoring apparatus 110 has in an auxiliary storage device or the like. By having a natural frequency that causes the tower shadow effect for each wind power generator model in advance, it is possible for the wind farm monitoring device to determine the sampling period when acquiring data such as voltage from each wind power generator Become. On the other hand, the tower shadow effect frequency for each wind power generator may not be apparent when it is delivered from the wind power generator manufacturer to the wind farm operator, so the wind farm monitoring device 110 has a learning function, and the tower A means for estimating the shadow effect frequency and registering a value in the tower shadow effect determination setting DB 516 is provided.

  FIG. 12 shows a database structure of wind speed−pitch angle−P DB 514. First, a table 552 indicating the relationship between the pitch angle (degrees), which is the angle of the blade with respect to the wind flow, on the blade surface of the wind turbine and the wind speed attenuation rate is provided. This table 552 indicates that the wind flow can be converted into rotational energy with maximum efficiency in the vicinity of a pitch angle of 10 degrees. Further, the wind farm monitoring device 110 acquires the actual wind speed from the anemometer that the wind power generator has in advance, so that the relationship between the pitch angle and the output P is derived by the power curve 554 that indicates the relationship between the wind speed and the output P. . When the value of the output P for a specific wind power generator is determined by the optimization calculation in the processing flow shown in FIG. 9, the pitch angle at that time is retrieved from the wind speed-pitch angle-P DB 514. .

FIG. 13 shows a process for calculating the rotation angle of the wind power generator. As described above with reference to FIG. 12, the value of the output P for a specific wind power generator is optimized in the process flow shown in FIG. When the pitch angle is determined by calculation and then the wind speed-pitch angle-P DB 514 in FIG. 12 is determined, the wind turbine radius (m), air density (kg / m ³ ), pitch is added to the wind power generator model 602. The rotational angular velocity (rod / s) of the wind power generator can be obtained by referring to the angle (degree), the wind speed (m / s), and the wind power generator output P (W). Then, the angle (rod) of the wind power generator is estimated in advance by integrating the rotational angular velocity (rod / s). With such a configuration, it is possible to reduce unnecessary output suppression of the wind power generator.

  The present invention can be applied to a wind power generation system using a windmill that can be connected to an electric power system.

DESCRIPTION OF SYMBOLS 100 Wind generator 102 Transmission line 104 Connection point 108 Communication network 110 Wind farm monitoring apparatus 202 Power flow before tower shadow effect 204 Power flow after tower shadow effect 206 Change in power flow before and after tower shadow effect 208 By tower shadow effect Fluctuation in active power P 210 Fluctuation in wind turbine end voltage due to tower shadow effect

Claims (14)

In a wind power generation system having a plurality of wind power generators constituting a wind farm,
A blade capable of changing the pitch angle;
A rotor mechanically connected to the blade;
A generator driven by the rotor;
A power converter electrically connected to the generator and controlling power output from the generator to a power system;
Pitch angle control means for controlling the pitch angle;
An abnormality detecting means for detecting an abnormal state of the power system or the wind power generation system;
First pitch angle control means when the abnormality detection means does not detect abnormality;
A second pitch angle control means when the abnormality detection means detects an abnormality,
The second pitch angle control means maintains the rotational speed of the rotor at a rotational speed at which the wind power generation system can perform power generation operation. The wind power generation system according to claim 1,
Having a predetermined first predetermined value and a second predetermined value smaller than the first predetermined value,
The second pitch angle control means includes:
When the rotational speed of the rotor is smaller than the upper limit value of the rotational speed of the rotor capable of power generation operation of the wind power generation system and larger than a first predetermined value, the pitch angle is fixed to a predetermined value,
When the rotational speed of the rotor is larger than a lower limit value of the rotational speed of the rotor capable of power generation operation of the wind power generation system and smaller than a second predetermined value, the pitch angle is set to a maximum angle. Wind power generation system. The wind power generation system according to claim 1,
The second pitch angle control means is a control means for setting a target value of the rotational speed of the rotor to a constant value within a rotational speed range in which the power generation operation of the wind power generation system is possible. . The wind power generation system according to claim 1,
The wind power generation system characterized in that the abnormality detection means detects that the voltage amplitude value of the power system is larger or smaller than a predetermined range. The wind power generation system according to claim 1,
The wind power generation system characterized in that the abnormality detection means detects an abnormality of a voltage amplitude value by calculating a correlation between a plurality of wind power generators constituting the wind farm. The wind power generation system according to claim 1,
The abnormality detection means detects a voltage amplitude value abnormality due to a synchronization phenomenon between wind generators by calculating a correlation regarding fluctuations in voltage fluctuation frequency between a plurality of wind generators constituting the wind farm. Wind power generation system characterized by The wind power generation system according to claim 5 or 6,
Wind power generation characterized by comprising a wind farm monitoring device that sorts candidates for transmitting pitch angle commands and stores them in a main storage device, sorted by an arithmetic device in descending order of correlation coefficient between the wind power generators system. The wind power generation system according to claim 1,
When a wind farm monitoring device for monitoring the wind farm is provided, and the time difference between the time when the acquired wind turbine end voltage arrives at the wind farm monitoring device and the time when the wind turbine end voltage is measured is sequentially compared, and there is a large variation A wind power generation system, wherein the acquired wind turbine end voltage value is discarded. The wind power generation system according to claim 1,
A wind farm monitoring device for monitoring the wind farm;
The wind farm monitoring device
When a power spectrum is created by Fourier-transforming time-series data of time and voltage at the interconnection point, the voltage fluctuation period at the interconnection point is around 2 Hz, and the voltage fluctuation width deviates from the V constraint Includes a means for obtaining the time and wind turbine end voltage, the model ID for identifying the wind power generator, and the wind farm ID for identifying the wind farm from each wind power generator via a communication network. In order to grasp the degree of synchronization between the generators, the correlation coefficient between the wind power generators is calculated, and the correlation coefficient calculation method is
Average value u_m = ΣV_m (t) with model ID m
Average value u_n = ΣV_n (t) of model ID n
Correlation coefficient = Σ (V_m (t) −u_m) * (V_n (t) −u_n)
A wind power generation system characterized by In claim 1,
A wind farm monitoring device for monitoring the wind farm;
The wind farm monitoring device
A wind power generation system, characterized in that candidates for transmitting pitch angle commands are listed and stored in a storage device by sorting them in descending order of correlation coefficient between wind power generators. The wind power generation system according to claim 10,
Search P and Q of each wind power generator,
Sorting candidates in advance in descending order of correlation coefficient between wind power generators, listing candidates for transmitting pitch angle commands, and selecting a higher wind power generator among the results stored in the storage device Wind power generation system characterized by The wind power generation system according to claim 11,
Of the results stored in the storage device, the top 30% of wind power generators are selected. In claim 1,
A wind farm monitoring device for monitoring the wind farm;
The wind farm monitoring device
In order to correct the deviation from the P, Q, and V constraints at the interconnection point, the wind power generator is provided with means for performing an optimization calculation by executing P and Q sequential power flow calculations. A wind power generation system characterized by using an objective function.
Objective function of optimization calculation = ΔP × ΔP + ΔQ × ΔQ + ΔV × ΔV   14. The wind power generation system according to claim 13, wherein the optimization calculation is a means such as Monte Carlo + local search, genetic algorithm, PSO, tab search or the like.