WO2008019635A1 - Procédé et système pour surveiller un réseau d'alimentation en énergie - Google Patents

Procédé et système pour surveiller un réseau d'alimentation en énergie Download PDF

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Publication number
WO2008019635A1
WO2008019635A1 PCT/DE2006/001447 DE2006001447W WO2008019635A1 WO 2008019635 A1 WO2008019635 A1 WO 2008019635A1 DE 2006001447 W DE2006001447 W DE 2006001447W WO 2008019635 A1 WO2008019635 A1 WO 2008019635A1
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WO
WIPO (PCT)
Prior art keywords
network
parameter
current
energy supply
state
Prior art date
Application number
PCT/DE2006/001447
Other languages
German (de)
English (en)
Inventor
Rainer Krebs
Siegfrid Lemmer
Dietmar Retzmann
Michael Weinhold
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 DE112006004070T priority Critical patent/DE112006004070A5/de
Priority to PCT/DE2006/001447 priority patent/WO2008019635A1/fr
Publication of WO2008019635A1 publication Critical patent/WO2008019635A1/fr

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Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks

Definitions

  • the invention relates to a method for monitoring an energy supply network, wherein at least one possible network state of the energy supply network is simulated on the basis of a network structure of the energy supply network and at least one predeterminable network parameter of the energy supply network. Furthermore, the invention relates to a system for monitoring a power supply network and a corresponding data processing program.
  • Energy supply networks in particular electrical high-voltage networks, are highly complex networks that can only be monitored and controlled by means of a high outlay.
  • the liberalization of energy markets and the decentralization of production units, such as additional wind farms in an energy supply network to the fact that the load and the stability of the energy supply network can vary considerably in terms of space and time. This requires an increased effort in terms of monitoring and regulating the load flows within a power supply network in order to avoid overuse up to total failure of the network system.
  • the state of a power supply network based on measurement data of certain parameters of the power grid, such as the current, the voltage and / or the phase angle between the current and the voltage, over a certain period of time and measured, usually 30 seconds. Subsequently, the averaged measurement data are sent to a control room. In the control room With the help of his many years of experience, an operator evaluates and interprets these measured data, most of which are visualized as alphanumeric values or as graphs, and uses these data bases to make any necessary changes to the network configuration.
  • EP 1 408 595 A1 describes a method for determining parameters of an equivalent circuit diagram of the transition section of an electrical network.
  • a possible voltage instability is analyzed by means of the measurement of voltages and currents within the network.
  • a so-called instability parameter is generated using the measured voltages and currents within the network.
  • the instability parameter determined in this way then allows conclusions to be drawn regarding the stability of the energy supply network in accordance with the invention there.
  • the same is disclosed in EP 1 217 709 as a method and apparatus for evaluating the stability of an energy transmission system.
  • a parameter estimation for a power grid is also disclosed in US Pat. No. 1,381,132 A1. As part of the process there, a large number of measured data is measured at different points in the energy supply network. By means of a mathematical model, the dependence of the load on the current frequency within the power grid and the dependence of the voltage on the current frequency is determined.
  • a disadvantage of all known in the prior art monitoring method of a power supply network that the network stability is determined on the basis of selected network parameters and the operator of the power grid
  • this information continues to be used mainly as a basis for the decision based on the personal experience of the operator for possible changes in the network parameters.
  • the handling of the operator with this information displayed is thus subjectively subject to the respective operator and possibly of its daily form, which may be detrimental to the simultaneous increase in the complexity of Netzkon- configuration due to the increased network requirements.
  • the object of the present invention is therefore to provide a method for monitoring a power supply network, which sustainably supports the operator in his or her decision-making when monitoring the power supply network.
  • the object is achieved by the features of patent claims 1 and 20.
  • at least one current network parameter is compared with the predeterminable network parameter taking into account the network structure and a similarity measure is generated as degree of deviation between the predefinable network parameter and the current network parameter, upon detection of a possible critical network condition, a warning message is output taking into account the similarity measure.
  • Network parameter in the sense of the present invention is any physical variable possible for direct or indirect characterization of the network state.
  • these are directly basic variables, such as current and voltage, or the physical variables derived therefrom indirectly, such as frequency and / or phase angle between the current and the voltage in a high-voltage network.
  • the determination of the similarity measure as degree of deviations between a predefinable and a current network parameter offers the possibility of estimating the quality of the correspondence between current and predefinable network parameters.
  • Network parameters a possible critical network state is simulated on the basis of the current network structure can be concluded in connection with a similarity measure of high quality between the current and the predetermined network parameters as it were to a critical network state of the current power supply network. In this case, a warning message is issued.
  • this procedure has the advantage that a possible critical network state is not first detected by the operator as previously due to the interpretation of the visualized network parameters, but that the operator in the case of a high degree of similarity and one with the predetermined network Parameter associated critical network state can easily be displayed the explosiveness of the critical network state.
  • a data pool of possible critical network states can be generated on the basis of the simulated network parameters and the simulated network structure in advance and independently of network operation.
  • the determination of a similarity measure between the current and the predeterminable network parameters offers the option of determining the degree of correspondence between the simulated and the current network state .
  • the operator not only has the possibility of monitoring the energy supply network on the basis of his personal experience, but can at the same time access a data pool of already simulated network states with regard to the predefinable network parameters and the network structure used for this simulation.
  • the current network parameter is continuously determined and permanently compared with a predefinable network parameter. This ensures that the monitoring of the power supply network is compared virtually online with the predetermined network parameters. In the presence of a high
  • the operator for monitoring a power supply network is given access to a comprehensive data pool by the method according to the invention, which however does not overload the operator with additional information, as hitherto, but supports him in the decision-making for monitoring and controlling the energy supply network.
  • the possible network states stored in the database are, on the one hand, possibly occurring critical network states in the past with corresponding predefinable network parameters derived therefrom, as well as simulation results of possible network states on the basis of freely chosen or predetermined network parameters derived from the network.
  • the respective network structure for the respective network parameters is taken into account in the simulation of the possible network states and their linking in the database.
  • At least one control command for a relevant network device in the energy supply network and / or an action option for an operator is calculated.
  • the selection of the relevant network devices is based on the current network structure, the current network configuration and the current network state advantageously by means of an expert system, using neural networks and / or fuzzy logic systems.
  • the current network parameter is transmitted to a central processing unit and the similarity measure is calculated by the central processing unit.
  • the current network parameter is transmitted within a communication network between at least two computing units and the similarity measure is calculated by a computing unit with available computing capacity.
  • the advantage of the alternative solution is that in particular peer-to-peer network configurations can be used to provide the necessary computing capacity for the similarity measure calculation.
  • the current network parameter and / or the predefinable network parameter are filtered according to predetermined filter methods.
  • the predetermined filtering method the measured data quantity to be processed can be reduced to determine the current network parameter or the predefinable network parameter.
  • this also makes it possible to execute the method in conjunction with a reduced computing capacity for simulating the possible network state and for determining the similarity measure between current and predefinable network parameters in comparison to an unfiltered measurement data determination.
  • the possible network state is used as the basis for calculating an index of the network state as a measure of the security of supply and / or the network stability of the energy supply network.
  • the simulation of the possible network states not only serves to determine the potentially critical network conditions, but is also used for optimal use in the sense of the greatest possible security of supply and / or optimal network stability of the energy supply network.
  • options for the operation of an optimized supply network can be provided on the basis of an optionally possibly not optimal network configuration.
  • the current network parameter is advantageously stored in a database and subsequently used as a predefinable network parameter on the basis of the network structure for calculating the possible network state of the energy supply network.
  • the database available to the operator for monitoring the energy supply network contains not only simulation results, but also data about network states that have occurred in the past.
  • These possible critical or optimal network states are thus not only available to the operator as a pure accumulation of data, but are used above all for the direct warning of possible critical network states and for decision-making for the operator. An interpretation of the network parameters and network states thus presented by the operator is thus not necessary since the possible critical network states are linked to a respective warning message in accordance with the method according to the invention.
  • the similarity measure and / or the control commands and / or action options on the basis of a possibly classified as critical network state are calculated by expert system, neural networks and / or fuzzy logic systems. These "intelligent" systems make it possible to analyze the fuzziness of the differences between the current and predefinable network parameters, as well as between the simulated and current network structure, and options for action and / or control commands for relevant network devices due to detected critical network conditions, such as a warning message.
  • the network parameter is advantageously the phase angle between the current and the voltage within the power supply network or at least one power supply parameter of a power supply unit interacting with the energy supply network or at least one state parameter, such as the temperature of the protection device, one with the power supply network Interaction of standing power supply.
  • the network parameter with different sampling rates is sampled in the network device interacting with the energy supply network and thus used to calculate the possible network state in different frequency ranges of the energy supply network.
  • a plurality of network parameters which are optionally determined independently of one another, are used to jointly calculate the possible network state of the energy supply network.
  • the control commands and / or options for action derived from the possible network state in conjunction with the similarity measure can advantageously be used directly to control the network device interacting with the energy supply network.
  • the control command can also be used as an instruction for the operator to monitor the power supply network. This makes it possible for the control commands to be used directly as input control to a relevant network device in the energy supply network.
  • the control commands and / or options can be displayed to the operator directly and thus presented to the operator as action suggestions for network control.
  • the possible network states are modified by a simulation unit due to variations of the boundary conditions, such as the network configuration and / or the network structure, and simulated independently of the current network state.
  • the operator as the basis for the simulation, the measurement data used or derived therefrom, such as network parameters, network structure, and the conclusions derived therefrom, such as the similarity between the current and the predetermined network parameters and in the case of a high similarity measure in conjunction with a critically determined network state in conjunction with the specifiable network parameter derived control commands and / or action options provided as background information.
  • the measurement data used or derived therefrom such as network parameters, network structure, and the conclusions derived therefrom, such as the similarity between the current and the predetermined network parameters and in the case of a high similarity measure in conjunction with a critically determined network state in conjunction with the specifiable network parameter derived control commands and / or action options provided as background information.
  • a comparison operator compares at least one current network parameter with the predefinable network parameter taking into account the network structure, and a computing unit generates a similarity measure as the degree of deviation between the predefinable network parameter and the current network parameter. riert, wherein in the detection of a possible critical network state, taking into account the similarity measure, the computing unit outputs a warning message.
  • the present invention may be implemented in the form of hardware, software or a combination of hardware and software.
  • any type of system or any other device adapted to carry out the method according to the invention is suitable.
  • a typical combination of hardware and software could be a general-purpose computer system with a computer program that loads and executes into the general-purpose computer system and controls the computer system to execute an application created by the described method.
  • a predefinable network parameter can be simulated in a simulation unit and a computing unit determines a degree of similarity as a degree of deviation between the predefinable network parameter and the current network parameter, wherein upon detection of a possible critical network condition taking into account the similarity measure, the computing unit issues a warning message, while the remaining layers are executed on conventional PC hardware.
  • the present invention may also be incorporated into a computer program product incorporating all features that enable it to implement the computer-aided methods described herein, and which, upon loading into a computer system, is capable of performing these methods.
  • the terms computer program means, computer program, and computer application means any term in any computer language, code, or notation of a set of instructions that includes a Computer system to enable data processing and so to perform a specific function.
  • the computer program, the computer program or the computer application is executable on the computer system either directly or after being converted into another language, code, notation or by displaying it in a different material form.
  • FIG. 2 a schematic representation of the data preparation according to the method according to the invention
  • Fig. 3 is a schematic representation of the determination of the current and the predetermined network parameter from a database.
  • FIG. 1 shows a flowchart of selected process sequences of the method according to the invention.
  • the current network parameters 100 of the energy supply network are determined. If there are no current network parameters 100, a renewed interrogation of the network parameters by a comparison operator 110 is initiated. In case of current network parameters
  • the similarity measure 130 of the current network parameter 100 is determined with a predefinable network parameter 120.
  • the predefinable network parameter 120 is read from a database 11. Which predefinable network parameters 120 from the data tenbank 11 can be selected, is freely selectable. The selection of the predeterminable network parameters 120 can be carried out either from the viewpoint of the associated possible critical network states. Furthermore, it is provided that the predefinable network parameters 120 are selected on the basis of optimal network stability indices and compared with current network parameters 100. With the determination of the similarity measure 13ß the network structure 140 of the power grid is determined simultaneously. In a subsequent comparison operation 150, the current network parameter becomes
  • the network structure 140 of the network structure linked to the predetermined network parameters 120 is likewise stored in the database 11.
  • the current network structure 140 of the energy supply network corresponds to the network structure stored on the database for the predeterminable network parameters 120, so that the similarity measure of the current network structure 140 completely coincides with the network structure stored on the database 11.
  • a similarity measure 130 for the current 140 as well as the network structure stored on the database 11 it is possible for a similarity measure 130 for the current 140 as well as the network structure stored on the database 11 to be determined simultaneously for the network parameter 140 during the determination of the similarity measure 130 and used as a basis for the comparison operation 150. If the comparison operation 150 reveals that the current network parameter 140 does not correspond to a predefinable critical network parameter stored in the database 11, a renewed query of the current network parameter 100 is initiated.
  • a corresponding warning message 160 is output and in the example selected a control command 170 determined.
  • This control command 170 can be used directly for a relevant power supply unit 15 within the power supply network or visualized as an action option 180 to the operator.
  • FIG. 2 shows a schematic representation of the data flow according to the method according to the invention.
  • the data basis used is measurement data from measuring devices 101a, 101b, 101c for selected measured variables of the energy supply network, some of which have different time sampling rates (see timeline indicated below).
  • measured values via relays and disturbance recorder from a measuring device 101a in a protective device as a power supply unit 15 (not shown) determined phase angle between current and voltage of a phase angle device 101b, as well as measured values of arranged in the power grid transmitter as a measuring device (101c) in different time sampling rates for Calculation of the network parameter 100.
  • the determined network parameters 100 represent a compressed image of the current network state.
  • a computing unit 10 compares the current network parameters 100 with the predeterminable network parameters 120 from the first database 11 or with predefined network parameters 121 already modeled independently of the current network state second database 12 compared.
  • the database 11 and 12 can also be combined in a database 11.
  • a warning 160 is output. either as an option to an operator as an option 180 is updated or used as control commands 170 for a power supply unit 15.
  • FIG. 3 shows a schematic representation for determining the current 100 and the predefinable network parameter 120 in the database 11.
  • the method according to the invention can also run simultaneously in two parallel methods and thus provide the operator with the greatest possible access to the existing data pool.
  • the currently determined network parameter 100 is compared with predefined network parameters 120, for example critical network parameters, in conjunction with the determined network structure 140, and a corresponding similarity measure 130 and, derived therefrom, a comparison 150 between the current 100 and predefinable network parameters 120 are determined.
  • predefined network parameters 120 for example critical network parameters
  • Network parameters 100 and the network structure 140 on already performed and stored in a database 12 network simulations accessed via a simulation unit 14.
  • the simulation varies the modeled mesh parameters 121 within certain limits and within certain boundary conditions.
  • the simulation unit 14 simulates a partial failure of the network, for example due to a single network station failure, and determines the resulting possible network states in conjunction with the respective simulated network parameters 121.
  • a corresponding degree of similarity 130 is determined and a corresponding comparison operation 150 (not shown) between current 100, predefinable 120 and possibly simulated network parameters 121 is determined.
  • This dichotomy of the system makes it possible to Raraeter 120, 121 compare in a corresponding procedure with current network parameters 100 and this possibly prioritized to visualize an operator can.
  • warning messages 160 of a possible critical network condition.
  • This warning message 160 subsequently serves as the basis for the visualization of an action option 180 for an operator in the event of a critical network state or control commands 170 for a relevant network device 15 for the purpose of settling or avoiding a critical network state.
  • Database of predefined network parameters 11 Database of predefined network parameters 12 Database of modeled network parameters of simulated network states

Abstract

L'invention concerne un procédé permettant de surveiller un réseau d'alimentation en énergie, selon lequel au moins un état potentiel du réseau d'alimentation en énergie est simulé, sur la base d'une structure de réseau (140) du réseau d'alimentation en énergie et d'au moins un paramètre (120) prédéfinissable du réseau d'alimentation en énergie. il est possible d'établir, par détermination d'une grandeur de similitude (130) entre le paramètre de réseau actuel (100) et le paramètre de réseau prédéfinissable (120, 121), sur la base du niveau d'écart entre ces paramètres de réseau d'état de réseau critique potentiel, un message d'alerte (160) pour le cas où le paramètre de réseau prédéfinissable est combiné avec un paramètre de réseau critique. Cette mesure s'applique dans le cas d'une grandeur de similitude importante (130) entre le paramètre de réseau prédéfinissable et le paramètre de réseau actuel. Une grandeur de similitude correspondante peut être déterminée, au moyen de systèmes à base de règles, notamment des systèmes experts. En cas d'identification d'un état de réseau critique, une position d'action possible pour intégrer l'état de réseau critique peut être présentée à l'utilisateur pour surveiller le réseau d'alimentation en énergie.
PCT/DE2006/001447 2006-08-15 2006-08-15 Procédé et système pour surveiller un réseau d'alimentation en énergie WO2008019635A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
DE112006004070T DE112006004070A5 (de) 2006-08-15 2006-08-15 Verfahren und System zur Überwachung eines Energieversorgungsnetzes
PCT/DE2006/001447 WO2008019635A1 (fr) 2006-08-15 2006-08-15 Procédé et système pour surveiller un réseau d'alimentation en énergie

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/DE2006/001447 WO2008019635A1 (fr) 2006-08-15 2006-08-15 Procédé et système pour surveiller un réseau d'alimentation en énergie

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WO2008019635A1 true WO2008019635A1 (fr) 2008-02-21

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DE (1) DE112006004070A5 (fr)
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6313752B1 (en) * 1998-05-21 2001-11-06 Steven P. Corrigan System for displaying dynamic on-line operating conditions of an interconnected power transmission network
EP1324455A1 (fr) * 2001-12-21 2003-07-02 Abb Research Ltd. Estimation d'état d'un réseau de transmission d'énergie électrique
US20050141682A1 (en) * 2003-12-09 2005-06-30 Wells Charles H. Power grid failure detection system and method
WO2005064761A1 (fr) * 2003-12-31 2005-07-14 Abb Ab Procede et dispositif de selection et de dimensionnement de mesures en cas d'instabilite dans un systeme d'alimentation electrique

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6313752B1 (en) * 1998-05-21 2001-11-06 Steven P. Corrigan System for displaying dynamic on-line operating conditions of an interconnected power transmission network
EP1324455A1 (fr) * 2001-12-21 2003-07-02 Abb Research Ltd. Estimation d'état d'un réseau de transmission d'énergie électrique
US20050141682A1 (en) * 2003-12-09 2005-06-30 Wells Charles H. Power grid failure detection system and method
WO2005064761A1 (fr) * 2003-12-31 2005-07-14 Abb Ab Procede et dispositif de selection et de dimensionnement de mesures en cas d'instabilite dans un systeme d'alimentation electrique

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