Temporal wind energy consistency forecasting for sindh and its impacts

Abstract

The rapidly increasing contribution of wind energy in to electrical energy in the World has demanded the need to design more practical mythologies for estimating the actual benefits of introducing wind turbine to existing power generating system. The contribution of this thesis is to illustrate the Wind Power Impact on economy, society, environment and ecology. The research proposes a stochastic wind power model based on an autoregressive moving average ARMA process. The model takes in to account the non-stationary and physical limits of stochastic power generation model is planed based on wind speed measurement of four year of seven stations of Sindh province from Meteorological Department of Pakistan. The propose ARMA model characterizes the stochastic wind power generation by mean level temporal correlation. Thesis suggests policy recommendation for possible changes to be implemented in existing procedures for the planning and application of power systems so as to turn renewable energy generation into a reality in Pakistan.