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.
