WO2020074410A1 - Acquisition de données configurable à distance d'aérogénérateurs - Google Patents

Acquisition de données configurable à distance d'aérogénérateurs Download PDF

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Publication number
WO2020074410A1
WO2020074410A1 PCT/EP2019/077014 EP2019077014W WO2020074410A1 WO 2020074410 A1 WO2020074410 A1 WO 2020074410A1 EP 2019077014 W EP2019077014 W EP 2019077014W WO 2020074410 A1 WO2020074410 A1 WO 2020074410A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
wind energy
participating
configuration data
data acquisition
Prior art date
Application number
PCT/EP2019/077014
Other languages
German (de)
English (en)
Inventor
Andreas Fuchs
Henning Harden
Stefan Meier
Diana von Gallera
Original Assignee
Senvion Gmbh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Senvion Gmbh filed Critical Senvion Gmbh
Priority to EP19783519.2A priority Critical patent/EP3864482A1/fr
Publication of WO2020074410A1 publication Critical patent/WO2020074410A1/fr

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0264—Control of logging system, e.g. decision on which data to store; time-stamping measurements
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/24—Pc safety
    • G05B2219/24215—Scada supervisory control and data acquisition
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2619—Wind turbines
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2223/00—Indexing scheme associated with group G05B23/00
    • G05B2223/06—Remote monitoring

Definitions

  • the invention relates to a method for data acquisition from a plurality of wind energy plants, each of which comprises sensors for the acquisition of operating data and a data acquisition unit with a communication interface, data acquisition for participating wind energy plants being controlled by means of a remotely arranged higher-level instance .
  • the invention further relates to a corresponding arrangement and computer program product.
  • Modern wind turbines have a large number of sensors and other units for the acquisition of measurement and operating data, which are used by the operational control of the wind turbine. Much of this data is not only used for the direct operation of the wind power plant itself, but also to higher-level units such as a park master of a wind farm or a control center of the transmission network or to the service provider / manufacturer. The latter type of transmission of business-relevant data is also known as SCADA.
  • a high data quality is required for an evaluation of the data, which generally requires the acquisition and transmission of as much data as possible. This applies all the more to the increasingly important skimming and processing of large amounts of data (big data concept).
  • big data concept In order to meet the great need of such concepts for extensive data of high quality, a large number of different data must be transmitted with high resolution, which means enormous amounts of data. It has been shown that simply scaling up the data transmission used up to now is usually not practical, particularly because of the limitation of transmission bandwidths, computing and storage capacities. It has also been shown that the right data is often missing for rather new questions, since they were not collected or not transmitted, often justified by a lack of transmission capacity.
  • the invention is based on the object of creating an improved method in order to provide extensive, finely resolved data in a targeted manner.
  • a method for data acquisition from a plurality of wind energy installations each of which comprises a generator driven by a wind rotor, an operating control for controlling the operation of the wind energy installation and sensors for acquiring operating data, and a data acquisition unit with a communication interface, and with a remote superordinate one Entity that controls data acquisition for at least a portion of the plurality of wind turbines (participating wind turbines); whereby the superordinate entity for data acquisition is connected to the participating wind energy plants via a communication connection
  • a “higher-level instance” is understood to mean control units or control points that are spatially distant and hierarchically superior. In particular, these can be the operator's control center, network control points of network operators, data centers from service providers or from manufacturers who monitor the operation of the wind turbine.
  • a monitoring user is understood to be a point of use which would like to retrieve operationally relevant data from the wind energy installation and, if necessary, process it. These can also be positions that also act as a "higher-level instance". However, the term is not limited to this: interested surveillance users can also be other positions, for example market participants in the electricity market who market electricity, other observing participants or even research and development groups who are interested in the operating data of the wind turbines.
  • the invention is based on the idea that a dynamically compiled data set enables targeted acquisition of only the data that is really of interest. This targeted recording can avoid the unnecessary recording of other data, which in the specific case is of no interest at all.
  • precisely those data in which there is particular interest can be used with a high temporal resolution, and others in which the temporal resolution is secondary cannot.
  • the invention thus frees itself of the ballast that data that has been recorded but is not required as a result or data that is not required in such a high resolution has traditionally always been displayed.
  • the invention has recognized that the key to such low-ballast or ballast-free acquisition and determination of the data lies in performing the data acquisition on the wind energy plants in a remotely configurable manner. Only those data that are of specific interest are specifically recorded and transmitted to the respective wind energy plants.
  • the configuration data record expediently specifies which data and / or how often the data are to be recorded.
  • Remote configurability thus provides the key to being able to meet the traditionally large data requirements of big data even over narrow-band transmission lines. This is unprecedented in the prior art.
  • the invention makes it possible to respond to the requirements of data acquisition in a more flexible, targeted and individual manner. This increases their efficiency considerably.
  • a type of transmission to the at least one remote monitoring user is preferably defined by means of the configuration data record.
  • the type of transmission can consist, in particular, of determining whether transmission is ongoing or whether it is temporarily stored and then the data is transmitted at a suitable point in time, for example in the presence of free bandwidth. The latter can mean considerable savings in terms of bandwidth requirements.
  • the type of transmission can expediently be set individually in relation to the data requested in each case. It is expediently provided that a dynamic selection of the participating wind turbines takes place by means of the configuration data set. It has been shown that not all participating wind turbines are required for each type of data acquisition. Often a subset is sufficient or the subset is of interest.
  • the data acquisition at the respective wind energy installation is automatically configured accordingly by receiving the configuration data record.
  • the transmitted (new) configuration is only used after a delay.
  • the configuration data record comprises a synchronization element, on the basis of which activation of the configuration data record is controlled.
  • the synchronization element advantageously has a delay condition, in particular waiting for a special command from the higher-level entity, for a predetermined point in time and / or over a predetermined period of time. In particular, this offers the advantage that the time of use of the new configuration is synchronized via the participating wind turbines.
  • a local buffer is preferably provided on the participating wind turbines, which temporarily stores the data recorded in accordance with the configuration data set before transmission, the transmission preferably being carried out continuously or on request, in particular at predetermined intervals.
  • a decoupling of the Data collection can be achieved by data transmission. This is an advantage in many cases, especially when the wind energy installation is only connected via a narrow-band transmission line.
  • a high-resolution recording can be carried out reliably, particularly on wind turbines that are not always connected or only connected via a rather narrow-band transmission line. The certainty that all of the recorded data is thus transmitted can be further increased in this way, which further increases the reliability of the data acquisition as a whole.
  • the data acquisition unit is at least functionally separate from the operational control.
  • the control itself remains unchanged despite changes in the data acquisition or data acquisition unit.
  • the data acquisition unit has its own access to the sensors of the wind energy installation, preferably as a bypass for operating control.
  • This enables completely autonomous access of the data acquisition unit to the sensors.
  • cross-connections to the operational control are completely unnecessary, so that this remains absolutely untouched.
  • the person skilled in the art understands this to mean a hardware abstraction layer. It is an intermediate layer in an operating system or an operational control system, which is generally designed as a logical intermediate layer. It is designed to shield the hardware-specific properties of a target platform from the rest of the actual operational control.
  • the direct access of the data acquisition unit prevents the operational control from being influenced. It is further preferably provided that the data acquisition unit can access the same (ie identical) values as the operational control. This allows replication of the operational control signal environment.
  • the data acquisition unit is advantageously of modular structure, preferably with further selectable expansion modules. It is expediently arranged in or below (ie on the hardware side) the hardware abstraction layer.
  • the modularity enables the functionality of the data acquisition and its scope to be expanded. By doing this in or below the hardware abstraction layer, the expansion can be carried out independently of the respective execution status of the operational control. This increases the flexibility as well as the security against undesired cross influences between the data acquisition unit and the operational control.
  • the configuration data records are preferably formed individually for individual wind energy plants of the participating wind energy plants or individually for a group of the participating wind energy plants. In this way, individual individual circumstances of the respective wind power plant can be specifically addressed.
  • the group is preferably put together dynamically, in particular on the basis of a predetermined parameter.
  • the predetermined parameter can relate in particular to the equipment, variant or the construction status (eg component batches) of the wind energy plants; This is expediently carried out via a link to a master database of the participating wind turbines.
  • the (group) individual formation of the configuration data records enables data to be reduced, since, for example, only every tenth or only one hundredth wind turbine has to be queried, provided this is sufficient for the data to be queried (for example, querying the ambient temperature).
  • a considerably more efficient use of the data acquisition capacity and in particular the capacity of the transmission lines can thus be achieved.
  • the bandwidth of the signal processing of the signal connection to the respective wind turbine is advantageously taken into account when the individual configuration data sets are created. Wind turbines with a high bandwidth capture and transmit more data than those with a rather narrow-band transmission line.
  • the invention further relates to an arrangement comprising a plurality of wind energy plants and a monitoring system for carrying out the method.
  • a monitoring system for carrying out the method.
  • the invention further relates to a corresponding computer program product.
  • a corresponding computer program product For the functioning of the program, reference is also made to the above description.
  • the invention is described in more detail below with reference to the drawing using an advantageous exemplary embodiment. Show it:
  • 1 shows a schematic overview of a monitoring system for executing the method according to the invention
  • 2 shows an exemplary structure of a configuration data record
  • the invention is explained on the basis of an example with a wind farm, which is connected via a public network (Internet) to a higher-level entity and to a monitoring user in the form of a manufacturer of the wind farm's wind farms.
  • Internet public network
  • a monitoring user in the form of a manufacturer of the wind farm's wind farms.
  • a wind energy installation such as is located in a wind farm 3, for example, is explained below. It comprises a tower 10, at the upper end of which a gondola 11 is arranged so as to be pivotable in the azimuth direction.
  • a wind rotor 12 is rotatably arranged on one end face and drives a generator 13 via a rotor shaft (not shown) for generating electrical power.
  • An operating control 2 which monitors and controls the actual operation of the wind energy installation 1, is also arranged in the nacelle 11.
  • the wind energy installation 1 is arranged in a wind farm 3, which comprises further wind energy installations T of the same type.
  • the wind energy plants 1, T deliver the power they generate via a parking network 30 to a collection point 34 of the wind farm 3 and from there to an electrical transmission network 9.
  • the wind energy plants 1, T are connected to a park master 35 of the wind farm via signal lines 31 in the wind farm.
  • the park master 35 monitors the operation of the individual wind energy plants 1, T in a manner known per se and outputs setpoints via the signal lines 31 to the wind energy plants 1, T, which are to be set by the wind energy plants 1, T in order to deliver the electrical power generated.
  • Further wind energy plants can be provided, which are symbolically represented by the wind energy plants G. These can be individual wind turbines or wind farms.
  • the wind energy plants 1, 1 ′ and the wind farm 3 and possibly further wind energy plants G are connected to a wide area data network 5, in particular the Internet, via data connections 51 and 52.
  • a superordinate entity 53 which may in particular be an operator of the transmission network 9
  • a remote database 54 for storing the data points transmitted by the wind energy installation 1, 1 ′, and other monitoring data of the wind energy installation interested units, such as the manufacturer of the wind energy plants or a service provider, which are referred to below as monitoring data users 55.
  • the architecture described is standard and known, in particular in order to generate and transmit operating data from the wind energy plants 1, for example in the context of the so-called SCADA.
  • a configuration data record used for this purpose is shown as an example in FIG. 2.
  • a first block I relating to master data of the wind energy installation including characteristic values of the communication connection, this includes information about the type of connection (for example ISDN) and the available bandwidth etc.
  • the second block II contains globally applicable configuration data, such as (a) the time of validity or the condition of validity of the dynamic configuration data record, (b) the way in which the wind power plant has to transmit the collected data, and (c) further details in relation to control signals, for example those for effecting activation / deactivation of the respective configuration data record (so-called trigger signals).
  • trigger signals for example those for effecting activation / deactivation of the respective configuration data record.
  • the third block III contains information on the various (e) data points and their (f) resolution, which are to be configured as part of the data acquisition.
  • resolution can be used in relation to a temporal dimension as well as in Be understood in terms of data depth.
  • acquisition frequency how often should it be measured?
  • Further information is possible, such as the measurement accuracy or detection depth (how exactly should measurements be made?), For example with 8 or 32 bits etc.
  • the configuration data record is preferably created in the form of a file (in particular as an XML file), but can optionally also be transmitted directly online to the respective wind energy plants 1 in the form of configuration commands.
  • FIG. 4 a, b Block diagrams for the logical structure of the operating control 2 of the wind energy installation 1 and the interaction with a data acquisition unit 4 are shown in FIG. 4 a, b.
  • the actual core of the operational control 2 lies in the control program 22, a “shared variable interface” 21 being provided for outputting various parameters.
  • a “shared variable interface” 21 being provided for outputting various parameters.
  • Drivers 24 and possibly bus systems 25 are used for communication between the control program 22 on the one hand and the sensors and actuators 26 on the other hand (this is known per se and therefore does not need to be explained further).
  • a special feature is that a hardware abstraction layer (“hardware abstraction layer” - HAL) 23 is introduced between the control program 22 and the drivers 24, and the data acquisition unit 4 is based on this.
  • the communication of the data acquisition unit 4 is represented by the arrows 41 and 42, the arrow 41 standing for the reception of the configuration data sets and the arrow 42 for the transmission of the requested data points in accordance with the stipulations in the configuration data set.
  • the data acquisition unit 4 is arranged parallel to the control program 22 and forms a bypass with respect to the acquisition of data points to the core of the control 2, namely its control program 22.
  • FIG. 3 A flow diagram for a corresponding dynamic configuration according to an exemplary embodiment of the invention is shown in FIG. 3.
  • the required master data records for the respective wind energy plants 1 are first created (step 110).
  • the individual data points to be queried are also configured including the desired resolution (step 120).
  • global configuration data are determined, including the determination of a validity condition, in particular from which point in time the respective configuration data record should be valid (step 130).
  • the configuration data record (see FIG. 2) is finally formed from this (step 140).
  • the configuration data records are subsequently transmitted to the respective wind energy plants 1 (150). If necessary, a start command is subsequently triggered at the given point in time when the start condition is fulfilled (step 160).
  • the receiving configuration data record is first read into the data acquisition unit 4 (step 200). It is subsequently checked whether the respective validity condition is fulfilled (step 210). This can be done by transmitting a corresponding start command (see step 160) or by comparing it with a timer 15 of the respective wind turbine 1, for example a GPS-synchronized clock. The respective data points are then recorded in accordance with the configuration data record (step 220). Subsequently, if necessary, they are written into a buffer (step 230) and sent in blocks or it is sent directly, in particular as streaming (step 240).
  • FIG. 4b shows an extension to the block diagram in FIG. 4a. Additional optional data points can be provided in other lower-lying modules, for example in modules 23, 24 and 26. This makes it possible to expand the data points to be acquired in a location-specific manner, regardless of the software version of the control program 22 of the control 2. Subsequent changes or expansions therefore leave the control 3 untouched, so that any certification of a model of the network behavior of the wind power installation is not affected by a changed type of data acquisition by means of the data acquisition unit 4.
  • a complex re-certification of the Network models with validation via measurement data can be avoided since the controller 2 remains unaffected with its control program 22 and a corresponding manufacturer's declaration on the unchanged validity of the network model of the wind energy location is still applicable, which simplifies or enables recognition.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Wind Motors (AREA)

Abstract

L'invention concerne un procédé et un arrangement pour l'acquisition de données provenant d'une pluralité d'aérogénérateurs (1, 1', 1") avec une instance de niveau supérieur (53) située à distance qui contrôle une acquisition de données pour au moins une partie des aérogénérateurs (aérogénérateurs participants). Selon l'invention, un jeu de données de configuration est communiqué aux aérogénérateurs participants, le jeu de données de configuration déterminant de manière dynamique les données opérationnelles à acquérir. Une unité d'acquisition de données (4) est respectivement configurée au niveau des aérogénérateurs participants, et les données sont acquises par les aérogénérateurs participants conformément au jeu de données de configuration puis communiquées à au moins un utilisateur de surveillance (54) à distance. Grâce au jeu de données compilé dynamiquement, une acquisition ciblée des seules données réellement intéressantes devient possible tout en évitant une acquisition inutile d'autres données non intéressantes. Cette acquisition ciblée permet d'utiliser avec une résolution temporelle élevée précisément les données qui présentent un intérêt particulier, et non d'autres dont la résolution temporelle est secondaire. Selon l'invention, ceci est réalisé en réalisant l'acquisition de données au niveau des aérogénérateurs de manière configurable à distance.
PCT/EP2019/077014 2018-10-09 2019-10-07 Acquisition de données configurable à distance d'aérogénérateurs WO2020074410A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP19783519.2A EP3864482A1 (fr) 2018-10-09 2019-10-07 Acquisition de données configurable à distance d'aérogénérateurs

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018007954.7A DE102018007954A1 (de) 2018-10-09 2018-10-09 Fernkonfigurierbare Datenerfassung von Windenergieanlagen
DE102018007954.7 2018-10-09

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WO2020074410A1 true WO2020074410A1 (fr) 2020-04-16

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DE (1) DE102018007954A1 (fr)
WO (1) WO2020074410A1 (fr)

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Publication number Priority date Publication date Assignee Title
DE102019133436A1 (de) * 2019-12-06 2021-06-10 Lenze Se (Societas Europaea) Verfahren für die Überwachung und/oder Verwaltung von technischen Einrichtungen

Citations (3)

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US20150066468A1 (en) * 2012-04-16 2015-03-05 Kk Wind Solutions A/S Data acquisition system and a method of acquiring data from a wind turbine
WO2017174084A1 (fr) 2016-04-07 2017-10-12 Vestas Wind Systems A/S Système de collecte de données d'éolienne
US20180120200A1 (en) * 2009-11-16 2018-05-03 Simmonds Precision Products, Inc. Data acquisition system for condition-based maintenance

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DE102006021048A1 (de) * 2006-05-05 2007-11-15 Siemens Ag Verfahren, Vorrichtung und System zur konfigurationsabhängigen Steuerung der Informationsbereitstellung
US8196155B2 (en) * 2008-10-08 2012-06-05 Oracle International Corporation XML-based event driven interface for OPC data access
WO2014029440A1 (fr) * 2012-08-23 2014-02-27 Siemens Aktiengesellschaft Système et procédé de commande client-serveur d'une éolienne
CA2810823A1 (fr) * 2013-03-28 2014-09-28 John Brandon Graham-Knight Procede, systeme et appareil permettant d'acceder a une pluralite d'eoliennes et d'en assurer la gestion par le biais d'un reseau

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Publication number Priority date Publication date Assignee Title
US20180120200A1 (en) * 2009-11-16 2018-05-03 Simmonds Precision Products, Inc. Data acquisition system for condition-based maintenance
US20150066468A1 (en) * 2012-04-16 2015-03-05 Kk Wind Solutions A/S Data acquisition system and a method of acquiring data from a wind turbine
WO2017174084A1 (fr) 2016-04-07 2017-10-12 Vestas Wind Systems A/S Système de collecte de données d'éolienne

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DE102018007954A1 (de) 2020-04-09
EP3864482A1 (fr) 2021-08-18

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