Environmental considerations, prospects of exhaustion of traditional energy sources and increasing prices in the generation of electric power have provoked in recent years considerable interest in the production of electric energy from renewable power sources. Furthermore, difficult global economic and political conditions are tending to make countries depend more on their own resources and rely less on imported resources.

Lebanon is considered as a country where renewable energy is abundant. So far, the renewable energy participation in Lebanese electricity generation is still insignificant. It is true that renewable generation is more costly that the conventional generation, but other factors such as emissions and efficiency are taken into consideration in addition to cost in modern distribution. These factors greatly favor the use of renewable energy.

This thesis will shed light on the effect of optimizing and redesigning an existing Lebanese distribution network when upgraded with renewable energies and where part of its current load is met by other forms of energy technologies (wood, natural gas, diesel oil, etc...). The optimizing technique will be based on fuzzy multiobjective programming. A Sensitivity analysis will be conducted to account for assumptions made and uncertain data. Load flow simulation will try to assess voltage drop and losses due to renewable integration. Finally, the thesis will conclude on the results and present some recommendations for future work.