COMPUTER IMPLEMENTED METHOD FOR HYBRID SIMULATION OF POWER DISTRIBUTION NETWORK AND ASSOCIATED COMMUNICATION NETWORK FOR REAL TIME APPLICATIONS

• US 20150286759A1
• Filed: 07/11/2013
• Published: 10/08/2015
• Est. Priority Date: 10/12/2012
• Status: Abandoned Application

• Current Assignee: Technische Universitaet Dortmund
• Original Assignee: Technische Universitaet Dortmund
• Inventors: Rehtanz, Christian, Wietfeld, Christian, Lewandowski, Andreas, Mueller, Sven Christian, Goerner, Kay, Georg, Kai Hanno, Haegerling, Christian
• Application Number:
  US14/434,773
• Publication Number:
  US 20150286759A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2119/06 Power analysis or power optimisation
• CPC Class Codes: G06F 30/33 Design verification, e.g. functional simulation or model checking
• CPC Class Codes: G06F 30/367 Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

The present invention relates to a computer-implemented method for a hybrid simulation of an electric power distribution network and an associated communication network connected therewith to determine a time delay between an event occurring in the power distribution network and a desired effect of a performed measure in the power distribution network, the measure having been decided on by means of a decision-making algorithm as a reaction to the event.

Claims

1-19. -19. (canceled)

20. A computer implemented method for a hybrid simulation of an electric power distribution network and an associated communication network connected therewith to determine a time delay between an event occurring in the electric power distribution network or in the associated communication network and a desired effect of a measure performed in the electric power distribution network, the method comprising:

a) electromechanically simulating a dynamic behavior of the electric power distribution network in a first simulator by time-discrete numerically calculating a set of algebro-differential equations describing the electric power distribution network as a model so as to obtain a simulated electric power distribution network,

wherein,

the simulated electric power distribution network comprises at least two nodes and a power transmission line arranged therebetween,

each of the at least two nodes are described by at least a part of the set of algebro-differential equations,

one of the at least two nodes corresponds to a generator, and

one of the at least two nodes corresponds to a load;

b) simulating in a second simulator event-triggered, protocol-based transmissions of messages within the associated communication network from a sending communication unit over a transmission medium to a receiving target communication unit, wherein, each of the sending communication unit and the receiving target communication unit is associated to one of at least two nodes of the electric power distribution network;

c) executing on a first processing unit a decision-making algorithm, wherein, the first processing unit is associated to a first node of the at least two nodes of the power distribution network;

d) performing on the first processing unit or on a second processing unit the measure that was decided on via the decision-making algorithm in reaction to the event, wherein, the second processing unit is associated to a second node of the at least two nodes of the electric power distribution network;

e) coordinating the first simulator, the second simulator, the first processing unit and the second processing unit by a time-synchronous data delivery via a superior central controlling instance,

wherein,

the first simulator, the second simulator, and the superior central controlling instance, and at least one of the first processing unit and the second processing unit are, respectively, configured to run separately in its own process,

the first simulator, the second simulator, and at least one of the first processing unit and the second processing unit each comprise a local simulation time, and

the superior central controlling instance comprises a global simulation time;

f) calculating, with the first simulator, in discrete time steps status values describing a status of the electric power distribution network, and making available the status values to the superior central controlling instance and at least to the first processing unit at a first point of time;

g) triggering, in the first processing unit, the decision-making algorithm by the event and executing the decision-making algorithm using current state values, wherein, when a processing time is determined, the decision-making algorithm needs to decide a reaction to the event;

h) setting the global simulation time to a second point of time by adding the processing time to the first point of time, wherein, the superior central controlling instance is configured to control the first simulator and the second simulator so that a local simulation time of the first simulator and of the second simulator, respectively, do not overrun the second point of time;

i) depending on the measure, generating a communication message by the first processing unit to be transmitted to a target processing unit, the communication message comprising information about the measure on which the decision-making algorithm has decided and information on a target node at which the measure is to be performed, wherein the target node is the first node or the second node;

j) calculating a data size of the communication message;

k) associating a time stamp of the second point of time to the communication message, and conveying the communication message to the second simulator via the superior central controlling instance;

l) determining, via the second simulator, a transmission time needed to transmit the communication message from the sending communication unit of the first node to the receiving target communication unit of the target node;

m) setting the global simulation time to a third point of time by adding the transmission time to the second point of time, wherein the superior central controlling instance controls the first simulator so that its local simulation times does not overrun the third point of time;

n) initiating, via the superior central controlling instance, based on the information on the target node and the information on the measure, an execution of the measure at the third point of time at a target processing unit associated with the target node;

o) evaluating, via the target processing unit, the measure by requesting a database to provide an execution time needed to execute the measure in reality, and executing, via the target processing unit, the measure by updating one or more status values at a fourth point of time obtained by adding the duration of the execution time to the third point of time; and

p) calculating, via the first simulator, new status values considering current status values that have been updated by the target processing unit as soon as its local simulation time overruns the fourth point of time.

21. The method as recited in claim 20, wherein the steps f) to p) are continuously repeated.

22. The method as recited in claim 20, wherein the simulated power distribution network comprises:

a plurality of nodes; and

power transmitting lines configured to connect the plurality of nodes,

wherein,

each node of the plurality of nodes corresponds to one of;

a generator,

a load,

a busbar,

a transformer,

a substation,

a switching station,

a power plant, or

an operation and maintenance center, and

each node of the plurality of nodes is associated to the sending communication unit or to the receiving target communication unit so as to at least one of send the communication message and to receive the communication message, and

each node of the plurality of nodes is associated to the first processing unit or to the second processing unit so as to decide on the measure or to execute the measure as a reaction to the event occurring in the respective node.

23. The method as recited in claim 20, wherein each of the first processing unit and the second processing unit comprises at least one of a simulated measuring equipment, a protective equipment, and a controlling equipment.

24. The method as recited in claim 20, wherein all method steps in the first processing unit and in the second processing unit are executed in parallel and are synchronized.

25. The method as recited in claim 20, wherein the first simulator stores the status values in a global database so as to provide an access to the status values by at least one of the first processing unit, the second processing unit, and the superior central controlling instance.

26. The method as recited in claim 20, wherein the superior central controlling instance is configured to,

stop the first simulator when a next time step of its local simulation time would exceed the second point of time or the third point of time, and

to resume the first simulator when the global simulation time reaches the second point of time or the third point of time.

27. The method as recited in claim 20, further comprising:

retrieving the status values from the first simulator by an OPC server; and

at least one of providing and conveying the status values to at least one of the first processing unit, the second processing unit, and the superior central controlling instance.

28. The method as recited in claim 20, wherein the transmission time comprises:

a first time-portion for preparing the communication message for data transmission by the sending communication unit;

a second time-portion for preparing the communication message for processing in the receiving target communication unit; and

a third time-portion for transmitting the communication message via the transmission medium.

29. The method as recited in claim 28, further comprising,

determining the first time-portion and the second time-portion of the transmission time by calculating status models of the sending communication unit and of the receiving target communication unit.

30. The method as recited in claim 28, further comprising:

determining the third time-portion of the transmission time by calculating at least one of an analytic channel model and a stochastic channel model of the transmission medium.

31. The method as recited in claim 28, further comprising:

using a layered model for each of the sending communication unit and the receiving target communication unit to determine the first time-portion and the second time-portion of the transmission time, each layer of the layered models using a special protocol for data transmission; and

performing a transmission of the communication message from a layer of the sending communication unit to a layer of the receiving target communication unit by a protocol-specific encapsulation of the communication message on a sender side and a decapsulation of the communication message on a receiver side,

wherein, a specific duration is used for each of the encapsulation and for the decapsulation, the specific durations being added to determine the first time-portion and the second time-portion.

32. The method as recited in claim 20, wherein the controlling instance is a High Level Architecture according to an IEEE standard 1516 or a successor thereto.

33. The method as recited in claim 20, wherein, after the determining of second point of time, the method comprises:

advancing the local simulation time of at least one of the first simulator and the second simulator to and continuing at the second point of time when the second point of time is in a future of the local simulation time.

34. The method as recited in claim 20, further comprising:

holding the local simulation time of at least one of the first simulator and the second simulator,

wherein, the holding is performed directly after the event is detected, or when the decision-making algorithm has been started, or shortly after the decision-making algorithm has been started.

35. The method as recited in claim 34, wherein,

when the second point of time has been calculated and lies in a future compared with a stopped local simulation time, and

the calculating of the set of algebro-differential equations of the model of the power distribution network has not yet been completed,

the method further comprises:

continuing the first simulator until the calculation of the set of algebra-differential equations is completed; and

then

advancing the local simulation time of at least one of the first simulator and of the second simulator to the second point of time.

36. The method as recited in claim 20, wherein, after the determining of the third point of time, the method further comprises:

advancing the local simulation time of at least one of the first simulator and of the second simulator to and continuing at the third point of time when the third point of time is in a future of the local simulation time.

37. The method as recited in claim 20, further comprising:

holding the local simulation time of at least one of the first simulator and of the second simulator,

wherein, the holding is performed directly after the measure has been decided on, or when the decision-making algorithm has been completed, or when a data size of the communication message is calculated.

38. The method as recited in claim 37, wherein,

when the third point of time has been calculated and lies in a future in comparison with a stopped local simulation time, and

the calculating the set of algebra-differential equations of the model of the power distribution network has not yet been completed,

the method further comprises:

continuing the first simulator until calculation of the set of algebra-differential equations is completed; and

then,

advancing the local simulation time of at least one of the first simulator and of the second simulator to the third point of time.