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This paper presents the use of Pareto optimization techniques that was previously analyzed with small scale power plant models where results could be verified analytically. Further research has been conducted into the use of applying these techniques to large scale models and analyzing performance. These approaches have been verified to scale well to larger applications. Through the use of multi-objective...
This paper describes secant method with particle swarm optimization (PSO) for solving the economic dispatch (ED) problem with valve point loading. The ED problem is solved in two stages. The range of output powers near the global optimal solution is determined by the secant method and then the final optimal solution is obtained by PSO. The proposed algorithm has been tested on 3-, 13- and 40-units...
This paper describes secant method combined with particle swarm optimization for solving economic dispatch (ED) problem with prohibited operating zones. Two stages are involved in the proposed approach to solve the ED problem with prohibited operating zones. First, the range of output powers near to the global optimal solution is determined by secant method without considering prohibited zones and...
An improved particle swarm optimization approach is introduced in this paper, the improvements involves the dasiaworstpsila particlepsilas impact on the particles in addition to that of the dasiabestpsila one. Meanwhile, a self-adaptive inertia weight is adopted to enhance the performance of the approach. With nonlinear constraints handled by a penalty function, the proposed approach is applied to...
This paper presents a novel modified bacterial foraging technique (BFT) to solve economic load dispatch (ELD) problems. BFT is already used for optimization problems, and performance of basic BFT for small problems with moderate dimension and searching space is satisfactory. Search space and complexity grow exponentially in scalable ELD problems, and the basic BFT is not suitable to solve the high...
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