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In recent years, with the rapid development of wind power, wind power plays an important role in the integrated grid. Uncertain output from wind generators might cause the dispatch of power system difficult. In this case, we applied a fuzzy variable to describe wind power. Then, we constructed a mathematical model for daily dispatch of a power system with wind power units. Following, we used uncertain...
Wind power forecasting is one of the key technical issues for a power system integrated with a large amount of wind farms. Based on analysis of the variation characteristics of wind speed, we applied econometrics theory into the modeling of wind speed, since GARCH has an excellent performance to tracing the variation of those fluctuating sequences. Using the wind power curve, the power output of a...
Forecast of wind speed is very important for making out dispatch scheme of power system and operation in higher reliability, according to the forming mechanism of wind, its influencing factors and its inherent variation rule, one of pattern recognition called as adaptive neuron-fuzzy inference system, abbreviated as ANFIS is used in wind speed forecast. The hybrid algorithm is used to train the parameter...
An analytic approach using real option theory is proposed in this paper for evaluation of wind power generation asset investment in restructured electricity industry. The model for the mean reversion process with long-term periodic mean is employed to describe the special characteristics of electricity price such as fluctuation, uncertainty and periodicity. Analytic expressions for wind power generation...
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