Optimization of the Power Generation scheduling in Oil-Rig Platforms using Genetic Algorithm
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, SingaporeDOI: 10.1109/ISIE.2010.5637792 Conference: IEEE International Symposium on Industrial Electronics, ISIE-2010
Article: Genetic algorithms in search01/1989;
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ABSTRACT: The purpose of this work is to minimize off-grid Diesel generation costs by best choosing the number, size and dispatch schedule of the generators comprising the power plant. The mathematical formulation of the optimization problem takes into account: size- dependent full-and part-load fuel consumption; size dependent investment costs; size- and dispatch-dependent operational and maintenance costs. It is assumed that daily hourly demand is known. The objective function is the annual sum of the fuel, investment and operational and maintenance costs on an hourly basis. The decision variables are the hourly generator's load factors. In the optimization routine, the number of generators is prescribed. Generators are chosen within a prescribed power range from a data bank of industrial diesel gensets. All possible combinations of the generators are optimized. Possible combinations are the ones that meet the hourly demand and may include duplicated generators. The developed program lists the best five combinations. To solve the optimization problem we have used the available NCONF/IMSL subroutine, which is based on the successive quadratic programming method to solve general nonlinear optimization problems. The optimization problem was applied to three north-region Brazilian communities. For these sites, we have concluded that substantial reductions on generation costs can be accomplished through generators resizing and through appropriate maintenance.01/2005;
Conference Paper: Optimal Power Generation Scheduling of a Shipboard Power System[Show abstract] [Hide abstract]
ABSTRACT: This paper studies the optimal power generation scheduling for a shipboard power system. The problem is formulated as a discrete-time Markov decision process (MDP). The paper considers the shipboard power system both without any energy storage and with energy storage, and obtains an optimal power generation scheduling for each situation. For the non-storage system, the switch cost during the start-up process is considered. For the system with a storage, a fuel consumption comparison with different energy storage sizes is provided.Electric Ship Technologies Symposium, 2007. ESTS '07. IEEE; 06/2007
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