DOI:https://doi.org/10.1007/s40565-018-0420-6 |
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Power systems wide-area voltage stability assessment considering dissimilar load variations and credible contingencies |
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Net amount: 712 |
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Author:
Bahram SHAKERIGHADI1, Farrokh AMINIFAR1, Saeed AFSHARNIA1
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Author Affiliation:
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran 11365-4563, Iran
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Foundation: |
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Abstract: |
This paper reveals that the existing techniques
have some deficiencies in the proper estimation of voltage
stability margin (VSM) when applied to a power system
with different load change scenarios. The problem gets
worse when credible contingencies occur. This paper proposes
a real-time wide-area approach to estimate VSM of
power systems with different possible load change scenarios
under normal and contingency operating conditions.
The new method is based on an artificial neural network
(ANN) whose inputs are bus voltage phasors captured by
phasor measurement units (PMUs) and rates of change of
active power loads. A new input feature is also accommodated
to overcome the inability of trained ANN in
prediction of VSM under N-1 and N-2 contingencies.
With a new algorithm, the number of contingencies is
reduced for the effective training of ANN. Robustness of
the proposed technique is assured through adding a random
noise to input variables. To deal with systems with a limited
number of PMUs, a search algorithm is accomplished
to identify the optimal placement of PMUs. The proposed
method is examined on the IEEE 6-bus and the New
England 39-bus test system. Results show that the VSM
could be predicted with less than 1% error. |
Keywords: |
Artificial neural network (ANN), Phasor
measurement unit (PMU), Voltage stability margin (VSM) |
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Online Time:2019/01/28 |
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