Abstract :
Distributed power generation provides electric power at a site closer to customers. This paper, formulates the problem of optimal utilization of renewable energy options to meet the peak load demand. A Monte Carlo apportioning technique of solar photovoltaic, co-generation, wind power, and small hydro, which considers specific techno-economic constraints, such as capital cost and generation cost constraints, and carbon dioxide emission factors, is described. The proposed method in a single study provides the proportion of the renewable energy sources for maximum generating capacity or lowest generation cost subject to lowest emission or to lowest capital cost.
Keywords :
Monte Carlo methods; distributed power generation; power generation economics; power generation planning; renewable energy sources; Monte Carlo planning technique; apportioning technique; carbon dioxide emission factors; co-generation; distributed power generation; electric power; generation cost constraints; peak load demand; renewable energy sources; solar photovoltaic system; techno-economic constraints; wind power; Costs; Distributed power generation; Monte Carlo methods; Photovoltaic systems; Power generation planning; Renewable energy resources; Solar power generation; Wind energy; Wind energy generation; Wind power generation; Linear programming; Operation strategies; Renewable energy technologies; Techno-economic constraints;
