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Distributed generator (DG), with its flexible power generation, environment-friendly advantages has been more widely used in distribution system, which has brought some influence to the traditional distribution network reliability evaluation. In this paper, two different models for conventional DG and wind turbine generator (WTG) are established for reliability evaluation, based on different energy...
With the capacity increasing of single wind turbine and the size of wind farm, the generation reliability issues of wind farms become increasingly prominent. Compared with conventional power supply, wind power has strong stochastic volatility. Then the reliability evaluation indices for conventional supply are not suit for wind power. So it is more and more important to research and development the...
As wind power penetrations increase dramatically, wind power forecasting is increasingly becoming one of the fundamental strategies in hybrid power systems. In order to obtain higher accuracy, a new method-genetic algorithm neural network based on rough set theory is proposed in the paper. Considering many factors that influence wind speed forecasting, reduction algorithm of rough set theory is introduced...
DG based on wind energy system (WES) has the probabilistic output power relied on natural conditions, the traditional deterministic load flow is not a suitable tool for the analyzing and maintaining distribution system. Aiming at this problem, this paper applies a probabilistic power flow (PLF) method to evaluate the influence of distributed generation with WES. Firstly, the probabilistic model of...
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