IP Library Granted Patent US 7,277,779
Granted Patent B2
US 7,277,779 · App. 10/870,160 · Granted Oct 2, 2007

Real-time emergency control in power systems

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Quick Facts
Patent No.
US 7,277,779
App. No.
10/870,160
Granted
Oct 2, 2007
Kind
B2
Abstract

The present invention is concerned with a method for real-time emergency control of power transmission networks, based on a modification of the model predictive control (MPC) approach. Following the detection of a contingency at time t c only one nominal trajectory x nom is approximated, together with its corresponding trajectory sensitivities for evaluating the effect of various key parameters or potential control actions. An optimum input control is finally identified via the solution of a cost function including e.g. a punishment for excessive load shedding. The process is started only if the nominal trajectory does not remain within acceptable trajectory limits.

Claims (17)

1. Real-time emergency control method for power systems characterised by a system trajectory (x) and represented by a system model (f), comprising, upon detection of an incipient instability of the power system, the steps of:

approximating, by means of the system model (f) and based on a nominal trajectory (x nom ), trajectory sensitivities (x x α ) and different input control actions (Δx i ) supplied to the system model (f), different output trajectories (x i ) corresponding to the different input control actions (Δx i ), and

identifying an optimum input control action (Δx a ) based on a deviation of each of the different approximated output trajectories (x i ) from a reference trajectory (x ref ), and applying the optimum input control action (Δx a ) to the power system.

2. The method according to claim 1 , wherein the detection of an incipient instability comprises the steps of

detecting a contingency, and

recording the overall state of the system prior to the occurrence of the contingency as an initial state for trajectory approximation.

3. The method according to claim 2 , wherein the detection of an incipient instability further comprises the steps of

predicting a nominal trajectory and

comparing the nominal trajectory with trajectory limits.

4. The method according to claim 1 , wherein the step of identifying an optimum input control action comprises the step of minimising a cost function with respect to the reference trajectory.

5. The method according to claim 1 , wherein the control inputs are assumed constant over a prediction horizon.

6. The method according to claim 1 , wherein the control inputs include discrete controls and in that Mixed Logic Dynamic (MLD) is employed for identifying the optimum input control action.

7. An electric power transmission system characterised by a system trajectory (x) and represented by a system model (f), for carrying out a method for real-time emergency control upon detection of an incipient instability of the power system, comprising:

means for approximating, by means of the system model (f) and based on a nominal trajectory (x nom ), trajectory sensitivities (x x α ) and different input control actions (Δx i ) supplied to the system model (f) different output trajectories (x i ) corresponding to the different input control actions (Δx i ),

means for identifying an optimum input control action (Δx a ) based on a deviation of each of the different approximated output trajectories (x i ) from a reference trajectory (x ref ), and

means for applying the optimum input control action (Δx a ) to the power system.

8. A computer readable medium having computer program instructions for real-time emergency control in electric power transmission systems executable by a digital computer, to perform the method for real-time emergency control according to claim 1 .

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 6, 2020
From: ABB SCHWEIZ AG
To: ABB POWER GRIDS SWITZERLAND AG
Reel/Frame 052916/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 23, 2004
From: ZIMA, MAREK; LARSSON, MATS; BERTSCH, JOACHIM
To: ABB RESEARCH LTD
Reel/Frame 015719/0283 →