WO2013023691A1 - Gestion de l'énergie en cas de variations de l'état de fonctionnement d'une installation d'automatisation - Google Patents

Gestion de l'énergie en cas de variations de l'état de fonctionnement d'une installation d'automatisation Download PDF

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Publication number
WO2013023691A1
WO2013023691A1 PCT/EP2011/064157 EP2011064157W WO2013023691A1 WO 2013023691 A1 WO2013023691 A1 WO 2013023691A1 EP 2011064157 W EP2011064157 W EP 2011064157W WO 2013023691 A1 WO2013023691 A1 WO 2013023691A1
Authority
WO
WIPO (PCT)
Prior art keywords
load
energy
supply network
regulation
electrical
Prior art date
Application number
PCT/EP2011/064157
Other languages
German (de)
English (en)
Inventor
Rene Graf
Frank Konopka
Original Assignee
Siemens Aktiengesellschaft
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 Siemens Aktiengesellschaft filed Critical Siemens Aktiengesellschaft
Priority to PCT/EP2011/064157 priority Critical patent/WO2013023691A1/fr
Publication of WO2013023691A1 publication Critical patent/WO2013023691A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

Definitions

  • the invention relates to a method for predictive regulation of the energy flows in an electrical supply network of an automation system with a number of connection devices which are connected to the supply network.
  • the invention further relates to an energy regulation ⁇ unit for predictive regulation of energy flows in an electrical supply network of such an automation system and the invention finally relates to a ent ⁇ speaking automation system.
  • the object of the invention is to specify a method or a device with the help of which a further improved energy management is realized.
  • the dependent claims include in part advantageous and in part self-inventive developments of this invention.
  • this object is achieved both by the features of claim 10 and by the features of claim 1.
  • An ⁇ The method is used for predictive regulation of the energy flows in an electrical supply network of an automation system with a number of connection devices which are connected to the supply network, so that an energy management during Be ⁇ operation of the automation system is realized by the method.
  • a behavior characterization ⁇ rendes load curve model is stored.
  • the exchange of information or data is done for this purpose preferably by means of communication protocols, for example according to the standard "PROFINET", and in particular by using already existing communication solutions that are extended or modified in favor of the method.
  • the automation system thus for example several ⁇ re electric motors which are connected to a common electrical Ver ⁇ supply network, and a central control unit for implementing the energy management so transmitted each electric motor to the central control unit, among other ⁇ rem current speed values, forthcoming speed changes, the current operating mode of the corresponding electric motor and an upcoming operating mode change.
  • the operating ⁇ mode describes whether the electric motor acts as an electric motor in the true sense, ie as an electrical consumer, or whether it acts as a generator and thus as a generator of electrical energy. In turn, about the speed Depending on the operating mode, the current power, ie the energy demand per time or the energy supply per time, given the electric motor.
  • Information on upcoming changes in speed and / or the mode of operation can be the one hand from sensor data derived ⁇ and secondly close of control signals with which the electric motors of the automation system are ⁇ controls.
  • Those control signals are preferably generated by a further central control unit, via which the mode of operation of the automation system is predetermined.
  • ⁇ example is controlled process via this central control unit of the production, which is typically set within the framework of so-called ⁇ production planning.
  • connection devices are connected to an electrical supply network, with each connection device showing a characteristic time-dependent load behavior with each change in operating state.
  • load peaks occur due to which voltages or currents are generated, which are either significantly larger or significantly smaller than the respective voltages or currents of both the initial state and the Endzu ⁇ state. If corresponding load peaks occur at the same time in the case of several connection devices, they can overlap constructively, as a result of which the supply network can be loaded up to the collapse of the supply or even the destruction of the supply network or the connection devices.
  • the behavior of the terminal devices during operating states in which a behavior which characterizes load is deposited ⁇ waveform model for every change in operating state of each terminal apparatus changes of state in the forward-looking regulation taken into account in the presented method. If operating state changes for several connection devices are now active at the same time, then is checked on the basis of the stored load history models, whether it would come with a simultaneous execution to a constructive superposition of several load peaks. If this is the case, individual pending operating state changes are performed with a time offset from one another in order to avoid a corresponding unfavorable superimposition.
  • the load curve of the entire automation system is thereby smoothed signi ficantly ⁇ . However, not all operating state changes are suitable for a time offset. Since some operating state changes, such as a heating up of a curing oven, persist for several minutes or hours, it is intended to postpone, in particular, those operating state changes which last less than one minute and in particular less than one second.
  • the Lastver ⁇ loop model is formed by bases, wherein the real load ⁇ running is approximated by support points.
  • the limits for forward-looking regulation of Ener ⁇ giefladore processing loads thereby reducing the workload for the processing of the data reduced. This in turn allows a simpler technical design of the central control unit for energy management.
  • the real load curve is approximated by 5 to 50 interpolation points and in particular by 10 to 20 interpolation points. It is precisely this number of bases that has proved particularly effective, with one On the one hand the target is taken into account, the amount of data to be kept as low as possible, and on the other hand given a sufficiently accurate description of the real load history.
  • the An ⁇ number of points is variable and is adapted to the individual load curve. This takes into account that some operating condition changes show a very simple load curve, ie as a linear progression, while other operating mode transitions are characterized by a rather complex load profile, for example, with several of the following aufeinan ⁇ load peaks. Simple load curves via a few interpolation points can be ⁇ ⁇ Dement spreader accordingly constitute sufficient accuracy, while more complex load curves can be approximated only suitable by a greater number of bases.
  • the real load curve is divided by the support points into identical time intervals. This division in uniform time intervals is similar to the typical procedure in an analog / digital conversion of measurement signals and allows accordingly a ⁇ times extraction of the support points by measuring the jewei ⁇ time real load curve and subsequent digitization of the measurement signal.
  • the real load profile is divided by the support points into different time intervals.
  • the classification is preferably based on the corresponding real load profile.
  • Time intervals of the load curve, where the burden is starting ⁇ constant marestge can thus be by a single base map so that with a fixed specification of a total number of points more points can be reserved for time intervals with com- plexem load curve.
  • the load history model indicates load peaks in the real load curve, wherein in the simplest case only the value for the highest occurring load is stored as information during the entire real load profile. In this case, it is then simplified to assume that this peak load or maximum load is given during the entire duration of the operating state change of the connection device.
  • FIG. 2 shows a diagram of a load curve for a change in operating state of a connection device.
  • the method is used as an example in an automation system which is provided by an industrial production plant 2 indicated in FIG.
  • Part of the production plant 2 is an electrical supply network 4, to which several connection devices are connected ⁇ .
  • each connection device acts either as an electrical load, as an electrical generator or as a buffer for electrical energy.
  • 1 shows an electric motor 6 as an electric generator, a wind turbine 8 and as an intermediate store a battery ⁇ mulator 10 are shown as exemplary electrical ⁇ shear loads.
  • the accumulator 10 affects currency ⁇ rend a loading operation as an electric consumers during a Endladevorgangs as an electrical generator and regardless of it as a temporary storage of electrical energy, as long as the battery 10 is not fully discharged.
  • FIG 1 is therefore symbolic of a variety of connection devices, depending on the operating condition of the production plant 4, a part of the terminal devices as electrical consumers see, another part act as an electric generator and a third part as a buffer for electrical energy. This is particularly the case, as modern NEN production plants 2 is increasingly paid attention to energy efficiency and energy conservation, often energy recovery systems are used and with increasing energy generating systems, such as solar panels or wind turbines 8, are used as part of the production facilities 2.
  • the production line 2 comprises a central control unit 12, are driven and on the other hand, regulates the energy flows in the step elekt ⁇ supply network 4 with the aid of one hand, the connecting thread rate.
  • transmit the terminal equipment at regular intervals communica ⁇ tion protocols according to the standard "PROFINET" to the centra ⁇ le control unit 12 in which information about the current len operating state as well as about upcoming operating state changes of the respective terminal apparatus are included.
  • such a data packet includes the value of the current electrical power, ie the momentarily generated per unit time electrical energy, and information about whether the wind turbine ⁇ system 8 remains connected to the power grid 4 or whether a temporary disconnection from the power grid. 4 is provided.
  • the data transmitted by the accumulator 10 contain the current state of charge, ie the currently stored amount of electrical energy, as well as the current value of the charging or discharging current.
  • data are preferably transmitted, such as the current speed and the current operating mode, that is, whether the
  • Electric motor 6 just acts as an electric motor 6 in the true sense or whether it just acts as a generator 6 and accordingly generates electrical energy.
  • information about imminent changes in the rotational speed or about an impending change in the operating mode is forwarded to the central control unit 12.
  • the respective current state of a connection device as well as a possible forthcoming state change are essentially predetermined by the so-called production planning.
  • production planning are predetermined by an operator parame- ters, on the basis of which the production process and thus the processing performed by the production facility 2 Pro ⁇ production is controlled.
  • a particularly simple case example is given if, with the exception of the wind turbine 8, all connection devices operate as electrical consumers with a constant energy requirement. In this case, only the amount of electrical energy which the wind power plant 8 feeds into the supply network 4 as a function of the prevailing weather conditions varies.
  • the central control unit 12 then causes the difference between the constant energy consumption of the electrical consumers and the varying energy supply of the wind turbine 8 via a power supply 14, ie a port through which the power supply 4 is connected to a distribution network of a utility company, is balanced ,
  • the energy management ⁇ is the supply via the utility port 14 for Verhe- to use standing performance as evenly as possible. This means that the energy fed into the supply network 4 per unit time is as little as possible from a given one Value deviates. Since a production line 2 typically has ei ⁇ NEN relatively high power consumption and fluctuations in energy requirements are possible in principle, which are for example in the shutdown of the production plant 2 over night of the same order of magnitude as the average power demand of the production line 2, fluctuations act in the energy requirement of the production plant 2 in some cases significantly to the stability in the distribution network of the energy which in turn gieversorgerußs versor ⁇ supply safety is endangered other to the distribution network of connected systems.
  • the operator of the production facility 2 are required to provide the expected energy demand and the expected time-dependent development of Ener ⁇ energy demand to the energy utility company so that it can respond to this by beispielswei ⁇ se the performance of the distribution network supplying power plants on the time course adapted to the expected energy demand. If the actual energy demand in ei ⁇ nem certain period from pre-announced energy demand from, so this implies variations in the distribution network, which can be compensated only with great technical effort. For this compensation, the energy supplier company charges the operator of the production situation 2 additional costs, which are much higher than the costs for the electrical energy, which is used to cover the previously announced energy requirement.
  • the energy management system is designed such that the current energy consumption of the production facility 2 ge possible ⁇ exactly corresponds to the pre-announced energy requirements of the production plant. 2
  • avoiding MACHINES SHOW ⁇ chen load fluctuations in the distribution network on the one hand and in the supply system 4 carries on the other hand contributes to operational safety at the special ⁇ the production plant. 2
  • a load curve 16 of a model to ⁇ circuit device is shown at the transition between two operating states in a diagram by way of example.
  • a relatively small time offset is provided, so no time offset in the order of the duration of the RadioShinippogangs, but a time offset that corresponds approximately to the duration of the load peaks 18 occurring. If one considers the exemplary diagram of FIG. 2, a time offset of t 4 -t 3 would be expedient here.
  • This particularly simple example is particularly suitable when load curves have short-term load peaks 18, as they are caused for example in switching on or off electronic components.
  • energy management and production planning are linked and coordinated with each other. This increases the efficiency of the Energymana ⁇ gements can be further increased, as for example, more room for the time offset of operating state transitions of various terminal devices is available.

Abstract

L'invention concerne un procédé de régulation prévisionnelle des flux d'énergie dans un réseau d'alimentation électrique (4) d'une installation d'automatisation (2) comportant une pluralité d'appareils de connexion (6, 8, 10) connectés au réseau d'alimentation (4). Lors de la régulation prévisionnelle, le comportement des appareils de connexion (6, 8, 10) est pris en compte au cours de variations de l'état de fonctionnement. Pour chaque variation de l'état de fonctionnement d'un appareil de connexion (6, 8, 10), un modèle de profil de charge (16) caractérisant le comportement est enregistré.
PCT/EP2011/064157 2011-08-17 2011-08-17 Gestion de l'énergie en cas de variations de l'état de fonctionnement d'une installation d'automatisation WO2013023691A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/EP2011/064157 WO2013023691A1 (fr) 2011-08-17 2011-08-17 Gestion de l'énergie en cas de variations de l'état de fonctionnement d'une installation d'automatisation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2011/064157 WO2013023691A1 (fr) 2011-08-17 2011-08-17 Gestion de l'énergie en cas de variations de l'état de fonctionnement d'une installation d'automatisation

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WO2013023691A1 true WO2013023691A1 (fr) 2013-02-21

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10001792B1 (en) * 2013-06-12 2018-06-19 Opower, Inc. System and method for determining occupancy schedule for controlling a thermostat

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1058174A2 (fr) * 1999-06-01 2000-12-06 Applied Materials, Inc. Techniques de traitement de semi-conducteurs
EP1263108A1 (fr) * 2001-06-01 2002-12-04 Roke Manor Research Limited Système de gestion d'énergie pour une communauté
US20050258154A1 (en) * 2004-05-20 2005-11-24 Lincoln Global, Inc., A Delaware Corporation System and method for monitoring and controlling energy usage
EP1717923A1 (fr) * 2005-04-29 2006-11-02 Miele & Cie. KG Appareil ménager avec unité de contrôle et procédé d'opération d'un appareil ménager
EP2244147A2 (fr) * 2009-04-24 2010-10-27 Rockwell Automation Technologies, Inc. Utilisation de facteurs de durabilité pour l'optimisation de produits
WO2011006830A2 (fr) * 2009-07-17 2011-01-20 BSH Bosch und Siemens Hausgeräte GmbH Appareil électroménager doté d'un dispositif de communication, système d'appareils et procédé de fonctionnement d'un appareil électroménager

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1058174A2 (fr) * 1999-06-01 2000-12-06 Applied Materials, Inc. Techniques de traitement de semi-conducteurs
EP1263108A1 (fr) * 2001-06-01 2002-12-04 Roke Manor Research Limited Système de gestion d'énergie pour une communauté
US20050258154A1 (en) * 2004-05-20 2005-11-24 Lincoln Global, Inc., A Delaware Corporation System and method for monitoring and controlling energy usage
EP1717923A1 (fr) * 2005-04-29 2006-11-02 Miele & Cie. KG Appareil ménager avec unité de contrôle et procédé d'opération d'un appareil ménager
EP2244147A2 (fr) * 2009-04-24 2010-10-27 Rockwell Automation Technologies, Inc. Utilisation de facteurs de durabilité pour l'optimisation de produits
WO2011006830A2 (fr) * 2009-07-17 2011-01-20 BSH Bosch und Siemens Hausgeräte GmbH Appareil électroménager doté d'un dispositif de communication, système d'appareils et procédé de fonctionnement d'un appareil électroménager

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10001792B1 (en) * 2013-06-12 2018-06-19 Opower, Inc. System and method for determining occupancy schedule for controlling a thermostat

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