نتایج جستجو برای: power system identification
تعداد نتایج: 2913555 فیلتر نتایج به سال:
Precise identification of microorganisms involved in candidiasis together with antifungal susceptibility evaluation could help clinicians to prescribe appropriate medicine, especially in patients with critical conditions. The present study has been conducted to evaluate discriminatory power of Integral System Yeast Plus (ISYP) for rapid identification and determination of antifungal susceptibil...
This paper demonstrates an effective application of artificial neural networks for online identification of a multimachine power system. The paper presents a recurrent neural network as the identifier of the benchmark two area, four machine system. This neural identifier is trained using the static Backpropagation algorithm. The trained neural identifier is then tested using datasets generated ...
This paper proposes the identification of maximum power point (MPP) function for photovoltaic (PV) module using the genetic algorithm (GA). Then deduction of the required function to generate the reference values to drive the tracking system in the PV system at MPP is done with the aid of Artificial Neural Network (ANN). This function deals with the more probable situations for variable values ...
due to the fact that the error surface of adaptive infinite impulse response (iir) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. in this case, global optimization techniques are required in order to avoid the local minima. harmony search (hs), a musical inspired metaheuristic, is a recently ...
GMM is one of the most successful models in the field of automatic language identification. In this paper we have proposed a new model named adapted weight GMM (AW-GMM). This model is similar to GMM but the weights are determined using GMM-VSM LID system based on the power of each component in discriminating one language from the others. Also considering the computational complexity of GMM-VSM,...
one of the main problems in wind energy conversion system (wecs) is how to achieve maximum output power in different wind speeds. maximum methods for maximum power point tracking in wind energy conversion systems require the knowledge of system characteristics and mechanic sensors. so, using these methods practically will follow with high price and an abundant difficulties. in this paper, n...
In order to study the stability and fast dynamic of the power grid, modeling and identification of hydropower plant systems such as turbine, governor and excitation is required. Turbine is a mechanical device and usually identified through field tests. In this paper, the identification of the unit 8 of Abbaspour power plant is conducted. The linear and nonlinear model of the Francis turbine are...
optimal capacitor placement, considering power system loss reduction, voltage profile improvement, line reactive power decrease and power factor correction, is of particular importance in power system planning and control. the distribution system operator calculates the optimal place, number and capacity of capacitors based on two major purposes: active power loss reduction and return on invest...
Recently, radio frequency identification (RFID) is being explored as a technology to be used in supply chain management. The use of RFID in the supply chain is an emerging technology that has attracted a lot of attention in the U.S., Europe, and Asia. Major retailers in various continents have given mandates to their suppliers to adopt the technology in order to continue business with them. As ...
Maximum power transfer tracking (MPTT) is meant to track the maximum power point during the system operation of wireless power transfer (WPT) systems. Traditionally, MPTT is achieved by impedance matching at the secondary side when the load resistance is varied. However, due to a loosely coupling characteristic, the variation of coupling coefficient will certainly affect the performance of impe...
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