Security Constrained Unit Commitment Using Genetic Algorithm Based on Priority List Method with Fuel Constraint Consideration

This paper presents genetic algorithm (GA) method development in solving security constrained unit commitment (SCUC). A complex problem occurs when network security constraint and fuel constraint are considered. A proper scheduling plan between unconstrained and constrained units is a must. SCUS problem solving is divided into two steps: unit commitment (UC) and optimal power flow (OPF). UC problem is solved by genetic algorithm based on priority list method. The solution produced from the UC then becomes the initial solution for OPF. Real coded genetic algorithm is used in solving OPF problem with generator status repair and dynamic modeling of fuel constraint. The proposed algorithm is applied on a modified IEEE 118-bus - gas power data system. The final solution of SCUC produced $10,514,820.64 or increased by 8.44% from UC. A dynamic modeling for fuel constraint could maintain fuel consumption while accommodating the constraint.