Abstract
This paper aims to realize sustainable grid planning in the medium and long term. For this purpose, the author reviewed the objectives of the energy, environment and economic policies on air environmental protection, discussed the impact of these policies on power system planning and management, and created a grid-air environment planning model considering environmental factors like polluting gas emissions and the AERs. Specifically, the purchase of SO2, NOX and CO2 emission quotas in the power industry was deliberated, the impact of uncertain power demand on grid planning was taken into account, and the grid planning model was established by two-stage mixed integer random programming. Then, the proposed model was applied to prepare the AER supply plan, power generation plan and power expansion plan of the grid in Jilin Province, China, considering different development speeds of clean energy generator sets. The case study reveals that the proposed grid-air environment planning method can satisfy the emission targets of polluting gases under the relevant constraints, and significantly enhance the environmental and economic benefits considering the quota trading. The research results shed new light on optimizing industrial structure and improving energy efficiency.
