Renewable Energy Generation System Expansion Planning

Abstract

This chapter titled “Renewable Energy Generation System Expansion Planning” proposes a new approach using linear programming to solve the long-term generation mix considering renewable energy resources generators namely; Wind Turbine Generators (WTGs) and Solar Cell Generator (SCGs) with multi-criteria considering CO2, SOx, and NOx emission constraints under the uncertain circumstances. The chapter focuses on the development of tools to analyze the effect of WTGs and SCGs on the best generation mix (BGM) using fuzzy set theory. The method accommodates sensitivity analysis of capacity factors of WTG and SCG. The effectiveness of the proposed approach is demonstrated by applying to solve the flexible generation mix problem on the Korean power system for a planning horizon up to the year 2030. The test system contains nuclear, coal, LNG, oil, pumped-storage hydro plant, WTG and SCG in multi-years period. The economic credits of renewable energy resource in best generation mix problem were proposed in view point of CF and CER of WTG and SCG. It is noted that the WTG and SCG are competitive generator types in the mix and the WTG and SCG can win the conventional generators mix from for various percentage mix of WTGs and SCGs in the Korean power system. The proposed model and method are useful tools for various economics evaluation in BGM considering renewable energy generators and emission constraints.