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Short term wind power prediction is one of the effective ways to cope with the operational problems caused by the variability of the wind energy resource when a large penetration of wind power is integrated into electric power systems. In this paper, a model combining a Genetic Algorithm with a Piecewise Support Vector Machine (GA-PSVM) is developed that improves the precision of short term wind power...
Renewable energy is increasingly being treated as a promising solution to the global warming and other environment issues. Due to the intermittent nature of these energy resources, energy storage is required to provide certain wind generation capacity. An analytical procedure is presented in this paper to analyze the impacts of energy storage on reliability of power systems with wind turbine generators...
Addition of Renewable resources in a power system will have significant impact on power generation. Generation Companies (GenCos) characteristics will change according to the availability of new resources. Wind power as a representative and the most common-used renewable energy resource is studied in this paper. Although wind speed is simplified and represented by multistate models, load point reliability...
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