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A multi-objective optimization model for optimizing the capacity size of the solar and wind component in a large scale PV/wind system is presented in this research. Objectives considered in the optimization include minimizing the power generation cost, maximizing the power supply reliability, and maximizing the average power fill rate. Decision variables, the number of PV arrays and wind turbines...
A comparative analysis of neural networks and statistical time-series methods in the electricity price forecasting of the Iran power market is conducted. An error back propagation algorithm is applied to train neural networks. The time series methods discussed in previous research were considered as benchmarks in the comparison. Two case studies are investigated based on the proposed methods to examine...
DG (Distributed Generation) generally consists of electricity generation in place of consumption but sometimes it refers to technologies that use the renewable energies for power generation. What is generally accepted, is that the DGs, regardless of how they produce electricity, are relatively small and are directly connected to the distribution network. Today, the increase of electricity demand,...
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