Fuzzy theory-based best generation mix considering renewable energy generators

This paper proposes a fuzzy linear programming (LP) based solution approach for the long term multistages best generation mix (BGM) problem considering wind turbine generators (WTG) and solar cell generators (SCG), and CO₂ emissions constraints. The proposed method uses fuzzy set theory to consider the uncertain circumstances ambiguities associated with budgets and reliability criterion level. The proposed approach provides a more flexible solution compared to a crisp robust plan. The effectiveness of the proposed approach is demonstrated by applying it to solve the multiyears best generation mix problem on the Korean power system, which contains nuclear, coal, LNG, oil, pumped storage hydro, and WTGs and SCGs.