Improving of power generation method using a hybrid fuzzy rule-based system and mathematical programming

In this paper, a hybrid fuzzy rule-based system and a bi-objective linear programming model is proposed to solve the unit commitment problem in a power generation company. The mathematical model aims to minimize the total efficiency of active units and failure risk of units simultaneously whose objective function's coefficients are derived from a fuzzy rule-based system constructed by expert's subjective opinions and knowledge. A real case study is also presented to shoe the applicability of the proposed model in practice.