Applications Of Optimization Methods Under Uncertainty To The Province Of Fujian, China

Rapid development of economy and society has obviously improved the life quality of people in the province of Fujian, while resulting in large consumption of energy resources and high emission of greenhouse gas. It is now a tough question that how to keep the balance between economic and environmental benefits in Fujian, both of which cannot be fully acquired at the same time. Thus, a reliable, rational, and reasonable energy system programming is needed for decision makers to manage the supply of energy resources, production of electric power, capacity expansion of power generating devices, and exploitation of clean energy resources.In this study, methods of dynamic interval fractional programming and mixed interval linear programming are respectfully applied to development of scenario models targeting environmental and economic benefits for long-term (25 years totally) energy system programming in the province of Fujian. In scenario 1, objective function of IMIFP model require higher investment in clean energy exploitation and lesser supply of fossil energy resources, which means environmental benefit is most considered. On the contrary, economic benefit is the priority for IMILP model in scenario 2, as total system cost is the objection. The method of interval mathematic programming is applied to deal with the uncertainties in the energy system of Fujian.Useful results and analysis come out at the end of this study, which can efficiently help authorities to make decision about energy supply, electric power production, capacity expansion of electric device, and exploitation of clean energy resources, in relevant energy system management in Fujian province, by providing two different solutions to the long-term planning of energy system.