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Wind power is one of the most rapidly growing renewable energies for power generation nowadays. However, operation of power systems becomes challenging due to intermittent characteristics from wind energies. Consequently, effective wind power forecasting is crucial because of the economic consideration and operation. This paper presents a novel technique for short-term wind power and wind speed forecasting...
An agent-based model is applied to model the German electricity wholesale market with its four major German utility companies. The model is utilized to assess base and peak power spot prices for scenarios implying doubling or tripling wind generation capacity in Germany. Furthermore, the effect of 8 million Plug-In Hybrid Electric Vehicles (PHEVs), incorporating different charging/discharging patterns,...
This article describes the use of intelligent-agent technology to aggregate wind-energy generation installed at numerous households and battery storage. This scenario creates a "virtual generator" that can be dispatched on the electricity grid in a manner similar to centralized generation. The purpose of aggregation is to sell renewable generation to the electricity network and market at...
This paper presents a dynamic multistage programming model for the cost-optimal generation for a recent hydrothermaleolic power system implemented in Brazil. Historic outflows are selected with cluster analysis technique adjusted for short-term planning horizon. The impact of wind power plants is analyzed to the Brazilian northeast subsystem considering the observed negative correlation between wind...
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