Turkish Journal of Electrical Engineering and Computer Sciences




This paper presents a new multiobjective optimization method that can be used for generation rescheduling in power systems. Generation rescheduling in restructured power systems is performed by the system operator for different operations like congestion management, day-ahead scheduling, and preventive maintenance. The nonlinear nature of the equations involved and the constraints on decision variables pose a challenge to find the global optimum. In order to find the global optimum using a genetic algorithm, a bilevel optimization method is proposed. In the proposed multiobjective optimization method, the objectives are classified as primary and secondary based on their relative importance. The best solution is found using the secondary objective from the acceptable solutions of the Pareto-optimal front in the primary objective plane. As the financial feasibility and adherence to emission limits are of higher importance, the primary objectives considered are minimization of generation cost and emission. The secondary objective considered is reliability, to find the most reliable solution from the set satisfying the primary objectives. The proposed technique is validated on the IEEE 30-bus system and the results are presented.


Generation rescheduling, multiobjective optimization, power system reliability, genetic algorithm

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