Multi-objective optimization of grid-connected PV-wind hybrid system considering reliability, cost, and environmental aspects

The performance evaluation of grid-connected hybrid systems mainly depends on the costs, reliability and GHG reduction of the system. Multi-Objective optimization of a grid-connected Hybrid PV/Wind Turbine (WT) based system was introduced to supply sufficient energy to a rural community in Ismailia Governorate, Egypt, considering the minimization of two objective functions namely Loss of Power Supply Probability (LPSP) and Cost of Energy (COE) while maximizing the Renewable Energy Fraction (REF) of the system as the third objective function, under different weather situations. Mathematical models were presented to estimate the output power of the hybrid system. The results showed the share of each component of the system in total energy supplying the electrical demand. In this paper, the interrelationship between the grid and the proposed hybrid system was studied in terms of the networks ability to sell or buy energy from the hybrid system, where three scenarios were proposed to study this relationship. The results of the MOPSO were classified into three perspectives, which are economically optimal solution (the lowest COE), renewable energy usage perspective (the highest REF) and environmentally optimal solution (the lowest GHG emission).