CO₂, so_x and NO_x emissions constrained multi-criteria-best generation mix using fuzzy set theory

A new approach considering CO₂ air pollution constraints in the long-term generation mix is proposed under uncertain circumstances. CO ₂ emission of electricity system industry has over thirty percent of total emission quantity in the world. The CO₂ emission in coal power plant competitive with nuclear power plant is very severe. The air pollution in coal is requiring LNG or new environmental type generation system (wind power, solar power tidal power et al.) instead of coal power plant, despite the new generation systems ask for very high construction cost. A characteristic feature of the presented approach in this paper is what effects give the air pollution constraints in long term best generation mix. Best generation mix problem is formulated by linear programming with fuel and construction cost minimization with load growth, reliability (reserve margin rate) and air pollution constraints. The proposed method accommodates the operation of pumped-storage generator. It was assumed in this study that the construction planning of the hydro power plants is given separately from the other generation plans. The effectiveness of the proposed approach is demonstrated by applying to the best generation mix problem of KEPCO-system, which contains nuclear, coal, LNG, oil and pumped-storage hydro plant in multi-years.