Abstract
Nowadays, the renewable
energy sources (RES) are widely utilized in micro-grids due to technical development
and emission increase, which make the planning the micro-grids integrated the RES
very important. To obtain the optimal planning strategy and evaluating efficiency
of the RES in micro-grids, a mixed integer programming (MIP) planning framework
for a grid-connected micro-grid is presented in this study. The understudy micro-grid
consists of the wind turbines and photo-voltaic systems, which are connected to utility
grid through the point of common coupling (PCC). The objective function is minimizing
the life cycle cost of object comprising of the investment and operation cost of
the RES, the energy purchased cost from the utility grid, the emission taxes cost
and the replacement cost or residual value of equipment at the end of the planning
period. The uncertainties of load, electrical price, wind speed and solar radiation
are taken into consideration and then a combinable model with the clustering technique
is utilized to integrate them. Finally, numerical simulations for a test grid-connected
micro-grid are made to validate the effectiveness of the proposed model and show
efficiency of the RES to can apply to practical micro-grids.