Development of a single-level optimization model for energy planning - A case study of Shanxi, China

Energy planning plays an important role for national and/or regional sustainable development, it can help to tackle with problems such as electricity demand, air-pollution control and various uncertain factor interrelationships in the process. In this paper, a single-level optimization program (SLOM) integrating regional energy planning and air pollution control is developed. SLOM is a combined simulation model incorporating ordered weighted averaging operator (IOWA) and interval linear programming (ILP). The proposed approach can deal with the uncertain information expressed as intervals. Meanwhile, a single-objective program (SOOM) will be employed to analyze the performance of SLOM. The result shows that SLOM can better balance the contradiction between the system cost and the pollutant emission problems at the same time, moreover, the most reasonable solutions are obtained under scenario SLOM rather than SOOM. The above SLOM was tested with regional scale in Shanxi Province, the numerical studies show the effectiveness of the proposed model.