STUDIES WITH A GENERALIZED NEURON BASED PSS ON A MULTI-MACHINE POWER SYSTEM

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CHATURVEDI D.K.; MALIK O.P.; KALRA P.K.

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Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING Year:2004 | Volume:17 | Issue:2 (TRANSACTIONS B: APPLICATIONS) Page(s): 131-140

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Title

STUDIES WITH A GENERALIZED NEURON BASED PSS ON A MULTI-MACHINE POWER SYSTEM

Author(s)

CHATURVEDI D.K. | MALIK O.P. | KALRA P.K. | Issue Writer Certificate

Keywords

POWER SYSTEM STABILIZER

NEURAL NETWORK

LOW FREQUENCY OSCILLATION

NEURO-PSS

GENERALIZED NEURON

MULTI-MACHINE POWER SYSTEM

Abstract

An artificial NEURAL NETWORK can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward NEURAL NETWORKs have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these drawbacks, a GENERALIZED NEURON based non-linear controller has been developed and illustrated as a POWER SYSTEM STABILIZER. Studies on a five-machine power system show that the proposed controller can significantly improve the dynamic performance and provide good damping of the power system over a wide operating range.

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APA: Copy

CHATURVEDI, D.K., MALIK, O.P., & KALRA, P.K.. (2004). STUDIES WITH A GENERALIZED NEURON BASED PSS ON A MULTI-MACHINE POWER SYSTEM. INTERNATIONAL JOURNAL OF ENGINEERING, 17(2 (TRANSACTIONS B: APPLICATIONS)), 131-140. SID. https://sid.ir/paper/355372/en

Vancouver: Copy

CHATURVEDI D.K., MALIK O.P., KALRA P.K.. STUDIES WITH A GENERALIZED NEURON BASED PSS ON A MULTI-MACHINE POWER SYSTEM. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2004;17(2 (TRANSACTIONS B: APPLICATIONS)):131-140. Available from: https://sid.ir/paper/355372/en

IEEE: Copy

D.K. CHATURVEDI, O.P. MALIK, and P.K. KALRA, “STUDIES WITH A GENERALIZED NEURON BASED PSS ON A MULTI-MACHINE POWER SYSTEM,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 17, no. 2 (TRANSACTIONS B: APPLICATIONS), pp. 131–140, 2004, [Online]. Available: https://sid.ir/paper/355372/en

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