920 results about "Peaking power plant" patented technology

The invention provides a combined wind power prediction method suitable for a distributed wind power plant. The method comprises the following steps: step 1, acquiring data and pre-processing; step 2, utilizing a training sample set and a prediction sample set which are normalized to build a wind speed prediction model based on a radial basis function neural network and predict the wind speed and variation trend of distribution fans at the next moment; step 3, building a distributed wind power plant area CFD (computational fluid dynamics) model and externally deducing the prediction wind speed of each fan in the plant area according to factors such as the terrain, coarseness and wake current influence of a distributed wind field; step 4, acquiring the power data of an SCADA (supervisory control and data acquisition) system fan of the distributed wind field; and step 5, adopting correlation coefficients. The invention firstly provides a double-layer combined neural network to respectively predict the wind speed and power. Models are respectively built through adopting appropriate efficient neural network types, and improved particle swarm optimization with ideas of 'improvement', 'variation' and 'elimination' is additionally added to optimize the neural network, so that the speed and precision of modeling can be effectively improved, and the decoupling between wind speed and power is realized.

A control system for a wind power plant that includes a damage module and a control module. The damage module compares existing stress conditions on one or more component parts of the wind power plant to current energy generating costs. The control module alters electric power generated by the wind power plant based upon the comparison.

The invention discloses a wind resource assessment method based on numerical weather prediction and the computational fluid dynamics. According to the method, area wind speed situations of a wind power plant in a selected year are simulated in a numerical weather prediction model, so that numerical weather prediction results comprising wind speed and wind direction time variation sequences of the wind power plant are obtained; one or more wind speed and wind direction time variation sequences are selected from the numerical weather prediction results and input in CFD software of the computational fluid dynamics, and wind resource situations of the whole wind power plant can calculated and obtained. Compared with a method of combining a meso-scale numerical model and a micro-scale numerical model, the wind resource assessment method achieves more accurate physical solution and calculation of the wind power plant on a micro level, and meanwhile the effects on wind speed attenuation or turbulence from complex terrain and wake effects are considered. Compared with wind resource assessment conducted through the CFD software only, the method can provide input of more result points of the CFD software by being combined with results of the numerical weather prediction model.

The magnetic circuit of a generator in a wind power plant is arranged to directly supply a high supply voltage of 2-50 kV, preferably higher than 10 kV. The generator is provided with solid insulation and its winding includes a cable (6) comprising one or more current-carrying conductors (31) with a number of strands (36) surrounded by at least one outer and one inner semiconducting layer (34, 32) and intermediate insulating layers (33). The outer semiconducting layer (34) is at earth potential. The stator winding may be produced with full or fractional slot winding, the phases of the winding being Y-connected. The Y-point may be insulated and protected from over-voltage by means of surge arrestors, or else the Y-point may be earthed via a suppression filter. The invention also relates to a wind power plant, a generator included in the plant and a variable speed system for such a plant.

The invention discloses a wind power plant parameter identification and dynamic equivalence method based on operation data, comprising the following steps of a) performing recognition on wind generation set control model parameters based on testing data, b) combining with operation data and choosing characteristic variables reflecting the wind generation set and the wind power plant under influence and utilizing the improved fuzzy K average value dynamic clustering algorithm to perform cluster division, c) performing network simplification and parameter optimizing to obtain a wind power plant dynamic equivalence model based on global optimal position mutation particle swarm algorithm, and d) under disturbance input, comparing the wind power dynamic equivalence model with the detailed model dynamic respond to verify the validity of the equivalence model. The wind field dynamic equivalence model constructed by the invention can accurately reflect the dynamic characteristics of grid-connection points of the wind plant and have important construction application values, and can be used in the analysis of the stability of the double-fed wind power plant access power system and provide theory support for the programming and operation scheduling of the wind power plant power system.

The present invention has disclosed an optimal control method for reactive voltage of wind power and photovoltaic power centralized grid connection in the field of wind power and photovoltaic power grid connection control technology, comprising: setting actuating stations used to control single wind power plant / photovoltaic power plant, setting substations used to control actuating stations and set master station used to control all the substations; master station calculates setting voltage reference Uref of each substation; adopting 3σ method to process set voltage reference Uref to obtain set voltage reference interval; regulating high-side voltage of substation to make it fall in set voltage reference interval; if high-side voltage of substation does not fall in set voltage reference interval, then regulating the equipment in wind power plant / photovoltaic power plant via actuating station. The present invention guides the actual operations of electric power system.

The invention discloses a joint probability density prediction method of short-term output power of a plurality of wind power plants. The method comprises the following steps: carrying out single point value prediction on output power of each wind power plant by using a support vector machine regression prediction model; building a sparse bayesian learning model as to a prediction error to carry out probability density prediction of the error, so as to obtain an expected value and a variance of marginal probability density function prediction of the output power of a single wind power plant; carrying out statistic analysis on the prediction error characteristics of the output power of the plurality of wind power plants, building a dynamic conditional correlation-multivariate generalized autoregressive condition heteroscedasticity model, and integrating a marginal probability density prediction result of the output power of the single wind power plant and a correlation coefficient matrix to obtain a joint probability density function of the output power of the plurality of wind power plants; forming a multidimensional scene including space-time correlation characteristics by using a sampling technique. By adopting the joint probability density prediction method, a mean prediction value and prediction uncertainty information of the output power of the single wind power plant can be provided; the dynamic space-time correlation characteristics between output power prediction of the plurality of wind power plants also can be quantitatively described.

A comprehensive power distribution method for a wind power plant includes steps of real-time data acquisition of the wind power plant, power distribution calculation, distribution adjustment instruction output and power fine adjustment implementation. Wind generation set power distribution values are calculated by means of minimum maintain set combination, multiple objective programming distribution, standby set capacity rotation and active and reactive power coordination control. Power fine adjustment refers to adjustment when a wind power plant monitoring system detects that wind generation sets fail to meet the limiting value index PLim(t) or are in over-adjustment after one-time power distribution is completed. The distribution adjustment instruction output refers to that aiming at power adjustment values obtained by calculating distribution values and the set power value in power fine adjustment, three modes including equal-proportion output, output instruction verification and power fine adjustment are adopted to send power control and adjustment instructions to a wind generation set control system. Real-time power monitoring and adjustment of each set are realized by the aid of the wind power plant monitoring system by judging the current practical operating states of the wind generation sets.

The invention discloses a multi-terminal VSC-HVDC grid-connected transmission system controlling method applied to a large wind power plant. Wind power plant side convertor station outer ring power conducts inner ring current PI control, a grid field side convertor station outer ring direct voltage conducts inner ring current feedback linearization decoupling control, and therefore response characteristics and dynamic performance of a controller are improved. When operation of the wind power plant fluctuates greatly and a system loses capacity for adjusting the direct voltage, multi-terminal direct voltage control of direct voltage deviation is led into other convertor stations of the wind power plant for replacing a grid side convertor station to execute a voltage regulating task, therefore, power balance is maintained, normal operation of the system is ensured, and the effect that the system operates stably at a new operating point is also ensured.

Controlling a wind power plant comprising at least one wind turbine generator for producing power to an electrical grid where the amount of said power is based on a signal response in a voltage signal in said electrical grid due to a change in power output into said electrical grid.

The invention provides a wind resource computation method, which comprises the following steps of analyzing original wind measurement data, and establishing a model required by CFD (computational fluid dynamics) computation on the basis of a full-height atmosphere boundary; computing wind speed and turbulent flow distribution under each wind direction condition by virtue of a CFD resolver; computing a wind resource distribution condition according to the wind speed and turbulent flow distribution under each wind direction condition, wind measurement mast coordinates, machine position coordinates, fan power data and wind condition data, and determining a position where a wind turbine generator is suitable to be mounted in a wind power plant. The method can also be used for analyzing wind resources of the wind power plant where the wind turbine generator is arranged.

The invention relates to a control system for participation of a wind power plant in primary frequency modulation and an implementation method. The controls system is composed of modules such as a wind power unit data acquisition unit, a wind power unit inertia calculation unit, a wind power unit inertia control unit, a wind power unit primary frequency modulation processing unit, a telecontrol communication control unit, a wave recording and analyzing unit and a frequency disturbance unit. According to the invention, participation in primary frequency modulation of a power grid is performed in a mode of wind power plant station-level active power coordination control in allusion to actual characteristics of the new energy resource of wind power, not only frequency droop control is considered, the rotary inertia of a wind power unit is utilized at the same time, output of the wind power unit is increased when the system frequency fluctuates and exceeds the threshold, participation in primary frequency modulation is performed quickly within a certain time under the condition of not increasing additional energy storage equipment, the action of a fan is played to the maximum degree, and purposes of reducing the amplitude of variation in system frequency and participating in quick recovery of the power grid frequency are achieved. The control system provided by the invention is applicable to application occasions in which the wind power plant participates in primary frequency modulation of a system.

An optimal site selection device for a distributed wind power plant based on a fuzzy analytic hierarchy process comprises a DSP (Digital Signal Processor) module, a keyboard input module, a liquid crystal display module, a communication module and a host computer. An optimal site selection method for the distributed wind power plant based on the fuzzy analytic hierarchy process comprises the following steps: dividing candidate wind energy resource zones in a region rich in wind energy resources, determining an evaluation index system for the site selection of the wind power plant, determining the hierarchical structure of a scheme for the site selection of the wind power plant, judging the cognition degrees of experts on selected sites for the wind power plant by an expert group judgment and group decision method to obtain the cognition degree parameters of all the experts, and constituting a criterion layer judgment matrix and an index layer judgment matrix for the site selection of the wind power plant; and finally ranking the candidate wind energy resource zones by advantages and disadvantages and determining one site for the wind power plant. Compared with the traditional analytic hierarchy process for site selection, the method has the advantages that factors are fully considered, the examination and the regulation of the consistency of the judgment matrixes are simple, easy, scientific and reasonable, and results are scientifically analyzed. The device has the advantages that through the operation processing process of the DSP, the site selection period can be shortened, and the site selection efficiency can be increased.

The invention provides an automatic dynamic voltage control (AVC) system for a wind power plant. The AVC system comprises an AVC controller, a plurality of blower main-control systems on a plurality of blowers in the wind power plant and an SVC (Static Var Compensator), as well as a plurality of voltage transformers and current transformers, which are arranged on wind power send-out lines, wind power collection lines, SVC lines, high-voltage buses and low-voltage buses, wherein each wind-power collection line is connected with a plurality of blowers, receives the electric energy output of the plurality of blowers and is connected with the low-voltage buses; the AVC controller communicates with each blower main-control system through an optical network and is electrically connected with the voltage transformers and the current transformers; and the AVC controller determines the total value of reactive power required to be sent out or absorbed by the wind power plant, the total value of the reactive power capable of being sent out or absorbed by all the wind power collection lines, and the reactive power capable of being sent out or absorbed by all the blowers, and sends control signals corresponding to the reactive power required to be sent out or absorbed by all the blowers to the corresponding blower main-control systems.

The invention discloses a wind power fluctuation suppression method of a hybrid energy storage wind power generation system, and belongs to the field of wind power fluctuation control technologies of a hybrid energy storage system. The method comprises the steps of: acquiring the output power of a wind power plant at a moment t as well as the output power of the hybrid energy storage wind power generation system at a previous moment (t-1); performing empirical mode decomposition operation on the output power of the wind power plant at the moment t to obtain n intrinsic mode function components and one remainder term; calculating the output power of a hybrid energy storage sub-system at the moment t; determining the charging-discharging priorities of a battery and a super capacitor at the moment t; calculating the output powers of both the battery and the super capacitor at the moment t; respectively controlling the battery and the super capacitor to output powers according to the output powers of both the battery and the super capacitor at the moment t; and repeating the above steps when entering the next moment (t+1). The wind power fluctuation suppression method provided by the invention solves the problem of output delay of a conventional filter algorithm, and overcomes the disadvantages that a single energy storage medium is poor in fluctuation suppression capability and short in service life.

The invention relates to a method of calculating an electrical output of a wind power plant comprising a plurality of wind turbines. Instead of calculating the electrical output of the wind power plant as a simple aggregation of the outputs of each wind turbine, the method takes into account parameters which may vary stochastically throughout the wind power plant, e.g. pitch angle, stiffness in drive train, different possible production with regard to reactive and active effect, mechanical component properties as well as variability in relation to communication times between a power plant controller and the individual wind turbines. The method proposes to make adjustment to a simple aggregation calculation method based on analysis of such stochastic varying parameters.

The invention discloses a method for constructing a joint probability distribution function of output of a plurality of wind power plants. The method comprises calculating a probability density function, a cumulative distribution function and a cumulative distribution function value of output of M wind power plants according to output samples of the wind power plants; obtaining a copula function through a maximum likelihood method; determining each copula function according to parameters; obtaining an experience copula function value according to the cumulative distribution function and the cumulative distribution function value; calculating a copula function value corresponding to the cumulative distribution function according to each copula function; obtaining an Euclidean space distance between the copula function value and the experience copula function value according to the copula function value and the experience copula function value; determining the copula function corresponding to a minimum Euclidean distance to describe dependency of output of the wind power plants; and calculating the joint probability distribution function and the joint probability density distribution function of output of the plurality of wind power plants according to the selected copula function.

The invention discloses a wind power generation, thermal power generation and compressed air energy storage integrated power generation system. The integrated system is mainly composed of a wind power plant, a thermal power plant and a compressed air energy storage power station. The wind power plant and the thermal power plant are connected through a compressed air system to form a wind power, thermal power and energy storage integrated power generation system. The compressed air energy storage system adjusts power output according to a grid load requirement and the output condition of the wind power plant and the thermal power plant to achieve linkage of the wind power plant and the thermal power plant and improve grid load response capability. Under the condition that grid safety is ensured, more clean energies can be connected into a grid. The compressed air energy storage system utilizes high temperature slag generated by the thermal power plant to generate power and replaces the traditional way that a traditional compressed air energy storage system utilizes natural gas to generate power. Therefore, the system has high environment benefit. Meanwhile, the system is high in peak load adjustment capability. By means of the system, the grid can receive wind power in a large scale, and the peak adjustment capability can be improved.

This invention relates to a method and a power plant controller arranged to carry out the method. The method is on an intelligent dispatching of the power production to wind turbines and optional compensation equipment of a wind power plant, as the power producing units of a wind power plant. The invention relates to a case where the requested produced power (both active and reactive) is less than the total capacity of the power plant, and the invention relates to utilizing this situation to dispatch set points to the wind turbines and the compensation equipment based on correction factors relating to the operating conditions of the wind park. This method may increase the wind turbines' life time, help in scheduling maintenance and expand the electrical operating range of the wind power plant.

A wind power installation having external and / or internal redundancy derived by multiple, independent power generating systems arranged in parallel, but switchably interconnected to allow substantial continued operation in the event of a critical component failure.

A coordination control method of wind accumulation is characterized in that according to response of wind turbine generation set rotor control, pitch control and energy storage control to the technical economic characteristics of time, rate of power, volume, cost and the like, operation status data of a wind power plant, a wind turbine generation set, an energy storage system and an electric power system can be collected in real time. The best operating economy of wind accumulation operation is chosen as an aim. The rotor speed of the wind turbine generation set, the pitch angle and the physics limit of the energy storage system are regarded as constraint conditions. Start order, output power, lasting time and quit order of the wind turbine generation set rotor, the winder turbine generation set pitch angle and the energy storage system are coordinately controlled. Wind accumulation frequency modulation requirements and a power grid dispatching power order of an electrical power system are satisfied with the lower volume of stored energy. A Wind discharging rate of wind generating is reduced and economic benefit of wind accumulation is improved.

The invention provides a random reactive optimization method for a power distribution network including a wind power plant, which is used for eliminating adverse effects caused by various undetermined factors of the power distribution network and keeping the power distribution network run in a qualified voltage state. The method comprises the following specific steps: firstly, establishing a probability calculation model considering various random factors; secondly, establishing determining trend including a fan equivalent circuit, establishing a random trend model for the power distribution network including the wind power plant in combination with a semi invariant and Gram-Charlier series expansion method, and solving the voltage of each node and the probability distribution of reactive output of a generator; and lastly, establishing a reactive optimization model including the wind power plant by taking the voltage of each node and the probability distribution of the reactive output of the generator as the chance constraints of reactive optimization, taking the reactive output limit of the wind power plant as a constraint condition and taking a minimum active consumption expected value as a target function, and solving by using a genetic algorithm.

The invention provides a method for evaluating wind power plant short-period power prediction precision. The method comprises a first step of collecting actually measured data of a wind power plant, a second step of calculating wind power plant power actual prediction errors and ideal prediction errors according to the actually measured data of the wind power plant, a third step of comparing the actual prediction errors with ideal prediction errors, and evaluating the power plant short-period power prediction precision. Factors influencing the short-period power prediction precision are analyzed by calculating and comparing the wind power plant short-period power prediction precision errors, and the basis is provided for short-period power prediction adjustment so as to guarantee the wind power plant short-period power prediction precision.

The present invention relates a method of controlling a wind power plant connected to an electrical grid, the wind power plant comprises a power plant controller (350), a plurality of wind turbine generators (1) and a STATCOM (230), with a STATCOM controller, comprises: controlling the plurality of wind turbine generators in a first control mode, with the power plant controller controlling a reactive power production from each of the plurality of wind turbine generators according to a closed loop control scheme, and controlling in a first control mode with a closed loop control scheme a reactive power production from the STATCOM according to a first setpoint dispatched from the power plant controller, and controlling the reactive power production from the STATCOM in a second control mode from the STATCOM controller according to an electrical measurement in the grid, and controlling the plurality of wind turbine generators in a second control mode, with the power plant controller controlling a reactive power production from the plurality of wind turbine generators, according to a feedforward control or a close loop control, based on a second setpoint from the STATCOM controller, and switching between the first control mode and the second control mode when receiving at least one trigger signal. The invention also relates to a wind power plant according to the method.

The invention discloses an active power control method for wind power plant participated power grid frequency modulation. Wind turbine units are divided into a critical unit, a low air speed unit and a high air speed unit according to the operating conditions of the wind turbine units; the active dispatching power is modified according to the real-time frequency deviation and the active power adjustable value of the wind power plant to obtain active power modification values of the wind power plant participated power grid frequency modulation; and then the active power modification values are allocated to each wind turbine unit of each type according to the types of the wind turbine units to enable the wind turbine units of each type to participate in the frequency modulation based on a certain sequence. According to the active power control method, the wind power plant is taken as the object and the wind power plant participates in the power grid frequency modulation within a certain frequency deviation; the active power control method considers the reasonable distribution of the frequency modulation amount among the units according to the different operating conditions of the units and the active adjustable amount of the wind turbine units; and therefore, the wind power plant can make response rapidly, and the power grid frequency deviation can be reduced to the greatest extent.

The invention discloses a cooperative control method for a wind power plant and a flexible direct current transmission system for improving an inertial level of a power system. The control method is used for simulating the inertia of a synchronous generator by virtue of a direct-current capacitor and the kinetic energy of a DFIG (Doubly Fed Induction Generator) rotor. The cooperative control method comprises the steps that a GSVSC (Grid-Side Voltage Source Converter) enables the direct-current capacitor to correspondingly absorb or release energy through the slip frequency control on a direct-current voltage under the disturbance of a power grid; then, a WFVSC (Wind Field Voltage Source Converter) converts the changed direct-current voltage into a wind field side alternating-current system change frequency signal through frequency conversion control after feeling the fluctuation of the direct-current voltage, so that a maritime alternating-current system and a shore alternating-current system are artificially coupled, and the communication between convertor stations at two ends is omitted; finally, a power instruction value is adjusted by a DFIG power controller in order to respond to the frequency change of the WFVSC, and the rotating speed of the rotor is also correspondingly changed. Through a series of cooperative control, a maritime wind field takes part in the frequency adjustment of a power system so as to play an important significance to the introduction of a large maritime wind field.