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This paper presents an algorithm for detection, classification, and characterization of voltage sags and swells in electricity networks using three-phase voltage ellipse parameters. The proposed method employs the instantaneous magnitude of three-phase voltage signals in three axes, which are separated from each other by 120 $^{\circ} $. Thus, the resultant rotating vector, namely, the three-phase...
Nowadays, integration of small-scale electricity generators, known as Distributed Generation (DG), into distribution networks has become increasingly popular. This tendency together with the falling price of DG units has a great potential in giving the DG a better chance to participate in voltage regulation process, in parallel with other regulating devices already available in the distribution systems...
This paper presents an algorithm for detection, classification and characterization of voltage sags and swells in electricity networks, using three-phase voltage ellipse parameters. The proposed method employs the instantaneous magnitude of three-phase voltage signals in three axes, which are separated from each other by 120°. Thus, resultant rotating vector, namely, three-phase voltage vector, traces...
Short term load forecasting is critically important in modern electricity networks since it helps provide supportive information for reliable power system operation in competitive electricity market environment. In this paper, the wavelet analysis based neural network model is employed to forecast the electricity demand in short-term period. The wavelet analysis helps to decompose the electricity...
By considering the presence of distributed generations, traditional distribution load flow methods have to be modified. Distributed generations as PQ or PV buses are modeled in load flow calculations. In this paper, a method for distribution networks load flow solution with radial and weakly meshed structure including DGs is presented. A method is presented for modeling the DGs in their PV bus operation...
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