00000ctm a22000003a 4500 UP-99796217608823575 Buklod 20090511103820.0 m |o d | ta 090511s xx d r |||| u| (iLib)UPD-00086997224 DENGII eng LG 993.5 2009 E64 S67 Soriano, Rafael V. A solution to price-based unit commitment using Lagrange relaxation combined with particle swarm optimization Rafael V. Soriano. 2009. ix, 78 leaves ill. 1 computer laser optical disc (4 3/4 in.) Thesis (B.S. Electrical Engineering)--University of the Philippines, Diliman. This paper uses a new approach in solving the price-based unit commitment problem based on the Lagrange relaxation method combined with the particle swarm optimizations algorithm. In the case of a deregulated market system, a generating company's objective is to maximize its profit. The proposed method aids the generating company in arriving at an optimal solution that determines how much power and reserve are to be sold to the market and what generation schedule results in maximum profit. Simulated results are compared with published results obtained using other methods. The results show that solving the price-based unit commitment problem using Lagrangian relaxation combined with particle swarm optimization, successfully incorporates the constraints in the problem. The particle swarm optimization algorithm is able to optimized the economic dispatch and therefore reduces the cost of generation and maximizes profit for the generating company. Electric power systems Load dispatching. Particle swarm optimization. Price-based unit commitment. Lagrange relaxation. FI UP UPD DENG-II LG 993.5 2009 E64 S67 Thesis