Time filter

Source Type

Alizadeh M.,K. N. Toosi University of Technology | Tofighi M.,Iranian Gas Transmission Company
Neurocomputing | Year: 2013

By incorporating Self-Recurrent Wavelet Neural Networks (SRWNNs) into Takagi-Sugeno-Kang (TSK) fuzzy model, this paper not only develops a novel Indirect Stable Adaptive Fuzzy Wavelet Neural Controller (ISAFWNC), but also uses it as a supplementary damping controller of Flexible AC Transmission System (FACTS) devices. In the proposed approach, the SRWNN is employed to construct a full-adaptive self-recurrent consequent part for each fuzzy rule of a TSK fuzzy model. A Stable Back-Propagation (SBP) algorithm with the aid of an Adaptive SRWNN-Identifier (ASRWNNI) is then employed to adjust fuzzy rules in real-time operation while the closed-loop stability is guaranteed by a Lyapunov-based approach. The proposed controller is thus able to handle the plant uncertainty by both the concepts of fuzzy logic and ASRWNNI while the local details of non stationary signals can be decomposed in terms of the dilation and translation parameters of the self-recurrent wavelet neural networks. A Genetic Algorithm (GA) based approach is proposed to choose the initial values of the dilation and the translation parameters of the wavelet and thus to increases the training speed and convergence rate of the proposed control scheme, since the BP convergence rate depends on the selection of the initial values of the network parameters. Simulations results of both two-machine two-area and benchmark four-machine two-area power systems, respectively equipped with a Static Synchronous Series Compensator (SSSC) and a Unified Power Flow Controller (UPFC) demonstrate the effectiveness of the proposed ISAFWNC design. © 2013 Elsevier B.V.


Malekpour M.,Iranian Gas Transmission Company | Farshadnia M.,University of New South Wales | Malekpour S.,Yasouj University | Taher S.A.,University of Kashan
Proceedings of the 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014 | Year: 2014

This paper studies broken rotor bar (BRB) failure in squirrel cage induction motors (SCIMs) and proposes a new fault diagnosis scheme for fast and instantaneous detection of BRB failures at no-load condition. The proposed method in this paper monitors the condition of a lightly loaded SCIM in order to detect the rotor bar failure process at its early stages. Absolute value of Approximation coefficient of wavelet decomposition at seventh level is considered as a new fault indicator. This indicator is immune to load conditions and can reduce the calculation time without loss of accuracy and resolution. Finite element analysis, MATLAB/SIMULINK and Differential Evolution (DE) optimization algorithm are employed in this work to model the breakage of the bar at the instant of happening. The effectiveness and accuracy of the proposed method for instantaneous detection of rotor bar breakage at no-load condition are evaluated using simulations. © 2014 IEEE.


Nahari A.,Iranian Gas Transmission Co. | Dashti R.,Islamic Azad University at Bushehr
APAP 2011 - Proceedings: 2011 International Conference on Advanced Power System Automation and Protection | Year: 2011

Increasing of the price of the fossil fuels and reducing them and their pollution, new clear energy have been more popular in the world but lack of notice to study of economic efficiently on new energy (NE) cause to inefficiency and inappropriate to use of these energies then leads the consumers to use the same fossil fuels. Some consumer need their electrical energy be supplied Such as hospital, military base, etc. therefore this is useful that, all or part of their electrical energy requirement be supplied to they don't sense any shortage of electrical energy. So in this paper is tried to analyses various and popular micropower that can be connected to grid with homer software. This paper with attention to actual demand of loads and climate of Bushehr province have been compared various popular micropower together technically, economically and environmentally and at the end select the best choice with these properties of Bushehr loads and Bushehr climate. © 2011 IEEE.


Satellou A.A.E.,Iranian Gas Transmission Company | Hamzehpour T.,Iranian Gas Transmission Company
Procedia Engineering | Year: 2015

Advance knowledge in the field of oil and gas industry, will guide us towards the use of new materials, especially composite materials. Natural gas transmission pipelines as the longest energy materials transportation lines, can be one of the best capacities for the study and design of composite materials to be used. Also, Genetic algorithms provide a simple and almost generic method to solve complex optimization problems. Despite simplicity of it, genetic algorithm needs careful selection of settings like parent selection methods, mutation methods, population size to be able to find good solutions. Choosing unsuitable parameters and methods might result into longer program runs or even bad optimization results. In this paper, we will review the effect of fiber angle change in the mechanical properties of tubes made of four layered FW carbon-epoxy material studied under uniform internal pressure in natural gas transmission pipelines. Then will be calculated optimal fiber winding angle using Genetic Algorithms suitable for situations where in longitudinal strain, twist and longitudinal strain-twist simultaneously are Optimization factor. Finally, the optimal winding angle will be introduced. It is explained that this layering is as the symmetrical. © 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.


Ketabi A.,Iranian Gas Transmission Company | Dehaghaniy Z.A.B.,Islamic Azad University at Dehaghan | Salmanian R.,Iranian Gas Transmission Company
Advances in Environmental Biology | Year: 2014

An appropriate Services Compensation System causes reinstatement and continuance of qualified, innovative and initiator. This system can increase organizational commitment among staff by influence on motivation and staff job satisfaction and also causes increasing in profiting, benefit and productivity of organization and at last all community's people got all these benefits. The aim of this research is the survey of influence quantity on each dimension of quadruple dimensions of services compensation system on staff organizational commitment of Iran Gas Transmission Company, District No.2. The result demonstrate that applied twelve hypothesis has evaluated each dimension (payment satisfaction, advantages satisfaction, salary satisfaction, salary increment satisfaction) on each organizational commitment dimension (continued commitment, manner commitment, sentimental commitment) and all hypothesis have been confirmed. © 2014 AENSI Publisher All rights reserved.


Ketabi A.,Iranian Gas Transmission Company | Ketabi A.,Islamic Azad University at Dehaghan | Dehaghaniy Z.A.B.,Islamic Azad University at Dehaghan | Salmanian R.,Iranian Gas Transmission Company
Advances in Environmental Biology | Year: 2014

This is a descriptive-survey study. Data collection tool is Allen and Meyer's Commitment Questionnaire and researcher developed Organizational Compensation questionnaire; Cronbach's alpha coefficient obtained in the questionnaire is 81% and Lisrel software was used in order to examine the research model. The study population included all direct and contract employees of the company consisted of 386 subjects using Cochran formula. Research hypothesis were examined as the null hypothesis and a one statistical hypothesis inferences using regression testing and variables prioritization using Friedman test. © 2014 AENSI Publisher All rights reserved.


Taher S.A.,University of Kashan | Malekpour M.,Iranian Gas Transmission Company | Farshadnia M.,University of Kashan | Farshadnia M.,University of New South Wales
Simulation Modelling Practice and Theory | Year: 2014

This paper proposes a method for fast and accurate detection of broken rotor bars (BRBs) in a three-phase squirrel cage induction motor. The fundamental component of the stator current signal is extracted using a linear time-invariant filter. The resultant residual signal which contains the harmonic components of the current is then used to detect the BRBs, by means of discrete wavelet transform (DWT). Since in experiment it is not possible to break the rotor bars while the motor is under load, finite element method and MATLAB/Simulink are employed to accurately demonstrate the behavior of the running machine as the BRB happens. To get more accuracy, differential evolution (DE) optimization algorithm is used to obtain the corresponding fault impedance for the rotor external circuit of the MATLAB model. Detail coefficients (DCs) of the wavelet decomposition are employed as the new fault indicators. Simulation results show that using DCs of the harmonic component signal rather than the actual current signal, leads to more distinctive fault signatures in the wavelet decomposition. The obtained results suggest that the proposed fault detection scheme can be employed as a highly reliable technique for diagnosing rotor bar failures in running machines. © 2014 Elsevier B.V. All rights reserved.

Loading Iranian Gas Transmission Company collaborators
Loading Iranian Gas Transmission Company collaborators