| As more and more issues about energy system, traffic system and emissionsof them, new thinking of energysystem planningand traffic system planningis being focused on by people. Studies of overseas and domestic mostly focused on scenario analysis, policy analysis, energy system and traffic system separately; few studies involved in city systemcoupling system planning. In addition, in energy system and traffic system planning management, many factorsshould be considered, such as energy supply capacity, energy buyingamount, road bearing capacity,pollutant emissions amount, etc. The effects of the factors and their uncertainty should be considered by policy-makers.Furthermore, in this study, considering uncertain conditions, an interval energy-traffic coupling management bi-level programming model was built, and a case study for Urumqi were used to analyze the Urumqi energy system, traffic systems and their environmental influence changes under differentplanning periodquantitatively. Thereby, reasonable planning of Urumqi for energy allocation, energy production, energy transformation, energy processing, electricity distribution, power supply technology, heat distribution,heat supply technology, energypollution control, traffic distribution and traffic pollution control were obtained and the development trend of planning along with the demand were analyzed through the case study. The results show the interval energy-traffic coupling management bi-level programming model can deal withregional energy-traffic system planning with ten types of energy which is coal, oil, natural gas, coke, gasoline, diesel oil, kerosene, fuel oil, electric power and heating power. In this paper, by using different solve methods to themodel;solutions which can meet different levels of satisfaction and achieve the effective cutting emissions were obtained. Finally, the interval energy-traffic coupling management bi-level programming model can work out optimal energy-traffic system planning which can satisfyboth energy-traffic system demand and emission reduction target. |
