Emissions constrained multi-criteria-best generation mix using fuzzy dynamic programming

Abstract

This paper proposes a new approach for solving long-term best generation mix problem considering air pollution constraints (SOx, NOx and CO2) and multi-criteria under uncertain circumstances by using fuzzy dynamic programming. A characteristic feature of the proposed approach can handle not only fuzziness in fuel and construction cost, load growth, reliability and air pollution but also considering many constraints of best generation mix problems. This approach can accommodate an arbitrary shape of a membership function and the pumped-storage hydro generator operation. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the KEPCO-system which contains nuclear, coal, LNG, oil and pumped-storage hydro, power plants in Korea.