STATORCURRENT HARMONICS EVALUATION BY FLEXIBLE NEURAL NETWORK METHOD WITH RECONSTRUCTION STRUCTURE DURING LEARNING STEP BASED ON CFE/SS ALGORITHM FOR ACEC GENERATOR OF REY POWER PLANT

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YOUSEFI MOHAMMAD REZA; TESHNEHLAB MOHAMMAD

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Journal: JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER) Year:2009 | Volume:1 | Issue:1 Page(s): 11-21

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Title

STATORCURRENT HARMONICS EVALUATION BY FLEXIBLE NEURAL NETWORK METHOD WITH RECONSTRUCTION STRUCTURE DURING LEARNING STEP BASED ON CFE/SS ALGORITHM FOR ACEC GENERATOR OF REY POWER PLANT

Author(s)

YOUSEFI MOHAMMAD REZA | TESHNEHLAB MOHAMMAD | Issue Writer Certificate

Keywords

FINITE ELEMENT METHODQ2

FLEXIBLE NEURAL NETWORKQ3

CAPABILITY CURVE AND SYNCHRONOUS GENERATORSQ3

Abstract

One method for on-line fault detection in synchronous generator is stator current harmonics analysis. In this paper, the FLEXIBLE NEURAL NETWORK with reconstruction structure during learning has been used to evaluate the stator current harmonics in different loads.Generator modeling, FINITE ELEMENT METHOD and state space model make training set of FLEXIBLE NEURAL NETWORK. Many points from generator capability curve are used to complete this set. FLEXIBLE NEURAL NETWORK that is used in this paper is a perception network with single hidden layer, flexible hidden layer neuron and back propagation algorithms. Results are show that the trained FLEXIBLE NEURAL NETWORK can identify stator current harmonics for desired load from the capability curve. The error is less than 10% in compared to the values obtained directly from the CFE-SS algorithms. The parameters of modeled generator are 43950 (KVA), 11 (kV), 3000 (rpm), 50 (HZ), (PF=0.5).

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APA: Copy

YOUSEFI, MOHAMMAD REZA, & TESHNEHLAB, MOHAMMAD. (2009). STATORCURRENT HARMONICS EVALUATION BY FLEXIBLE NEURAL NETWORK METHOD WITH RECONSTRUCTION STRUCTURE DURING LEARNING STEP BASED ON CFE/SS ALGORITHM FOR ACEC GENERATOR OF REY POWER PLANT. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), 1(1), 11-21. SID. https://sid.ir/paper/186480/en

Vancouver: Copy

YOUSEFI MOHAMMAD REZA, TESHNEHLAB MOHAMMAD. STATORCURRENT HARMONICS EVALUATION BY FLEXIBLE NEURAL NETWORK METHOD WITH RECONSTRUCTION STRUCTURE DURING LEARNING STEP BASED ON CFE/SS ALGORITHM FOR ACEC GENERATOR OF REY POWER PLANT. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)[Internet]. 2009;1(1):11-21. Available from: https://sid.ir/paper/186480/en

IEEE: Copy

MOHAMMAD REZA YOUSEFI, and MOHAMMAD TESHNEHLAB, “STATORCURRENT HARMONICS EVALUATION BY FLEXIBLE NEURAL NETWORK METHOD WITH RECONSTRUCTION STRUCTURE DURING LEARNING STEP BASED ON CFE/SS ALGORITHM FOR ACEC GENERATOR OF REY POWER PLANT,” JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), vol. 1, no. 1, pp. 11–21, 2009, [Online]. Available: https://sid.ir/paper/186480/en

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