Research On Beijing Energy Model Under Dual Uncertainty

Energy is necessary for the survival and development of any city including Beijing.The planning of Beijing energy management systems is confronting many challenges,especially a great deal of uncertainties in the processes of energy prices and technological development.To provide reliable decision support and policy analysis for Beijing energy planning,these uncertainties should be solved effectively.In this paper, Random Boundary Interval Linear Programming(RBILP) which is one of dual uncertain optimization methods is proposed and applied in the optimization of energy supply planning in Beijing.It is solved by integrating conventional Interval Linear Programming and Chance-constrained Programming techniques together.The result indicates that RBILP model is able to represent the dual uncertain information in the planning system,reflect the tradeoff between energy system cost and system reliability, and provide a variety of options corresponding to vary energy supply costs for decision makers to choose.