Due to uncertainties in system modeling as well as system parameters, current excitation systems are unable to perform quite satisfactorily over a wide range of operating conditions. In this paper a QFT-based excitation robust control is proposed which the above mention More
Due to uncertainties in system modeling as well as system parameters, current excitation systems are unable to perform quite satisfactorily over a wide range of operating conditions. In this paper a QFT-based excitation robust control is proposed which the above mentioned uncertainties are, somehow, considered. The Horowitz second method is employed in the design of the nonlinear QFT controller.
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Identification and classification of power quality disturbances (PQDs) are one of the most important functions of monitoring and protection of modern power systems. One of the most important issues in PQ analysis is automatic diagnosis of waveforms using an effective al More
Identification and classification of power quality disturbances (PQDs) are one of the most important functions of monitoring and protection of modern power systems. One of the most important issues in PQ analysis is automatic diagnosis of waveforms using an effective algorithm. This paper presents an effective method, for extracting features, using integration of discrete wavelet transform (DWT) and hyperbolic S transform (HST). Moreover, an efficient feature selection method namely Orthogonal Forward Selection (OFS) by incorporating Gram Schmidt (GS) procedure and forward selection is applied for selection of the best subset features. Multi support vector machines (MSVM), as famous classifier, is applied. Also, the variable parameters of the classifier are optimized using a powerful method namely particle swarm optimization (PSO). Six single disturbances and two complex disturbances as well pure sine (normal) selected as reference are considered for the classification. Sensitivity of the proposed expert system under different noisy conditions is investigated. Also, efficiency of the proposed methods by comparing the results of this study with the results of other papers is examined.
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In competitive electricity market, maximizing the profit is the main objective in company’s decision making. Hence, Transmission companies (Trans Cos) are not interested in improving reliability and expanding existing structures without financial benefits. On the other More
In competitive electricity market, maximizing the profit is the main objective in company’s decision making. Hence, Transmission companies (Trans Cos) are not interested in improving reliability and expanding existing structures without financial benefits. On the other hand, consumers demand more reliable and high quality power. In this paper, transmission insurance plan is proposed as an incentive method to improve the reliability of electrical power transmission. In this method, an insurance contract concluded between insurance company and every customer. Insurance company spend a part of its revenue to increases the reliability of the transmission system and also pays for compensation of consumers not supplied energies. The proposed method is studied in a network with six buses. Results show that the proposed method increases network reliability.
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In order to improve power quality, the detection and identification of factors involved in reducing power quality are paramount. One of the main factors in creating flicker and harmonics in the system connected to the wind turbines are wind aerodynamic turbulences and w More
In order to improve power quality, the detection and identification of factors involved in reducing power quality are paramount. One of the main factors in creating flicker and harmonics in the system connected to the wind turbines are wind aerodynamic turbulences and wind turbines mechanical errors. In this paper the mathematical equations of turbulence wind shadow and wind shear and mechanical equations of Gear Tooth Breaks in Wind Turbine Gearboxes have been evaluated accurately using the MATLAB simulation. The continued impact of the disturbances on the output parameters of the network is observed. Also, it is shown that these disturbances can be identified and classified properly by wavelet function.
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In order to improve power quality, the detection and identification of factors involved in reducing power quality are paramount. One of the main factors in creating flicker and harmonics in the system connected to the wind turbines are wind aerodynamic turbulences and w More
In order to improve power quality, the detection and identification of factors involved in reducing power quality are paramount. One of the main factors in creating flicker and harmonics in the system connected to the wind turbines are wind aerodynamic turbulences and wind turbines mechanical errors. In this paper the mathematical equations of turbulence wind shadow and wind shear and mechanical equations of Gear Tooth Breaks in Wind Turbine Gearboxes have been evaluated accurately using the MATLAB simulation. The continued impact of the disturbances on the output parameters of the network is observed. Also, it is shown that these disturbances can be identified and classified properly by wavelet function.
Manuscript profile