Sample Pages to Be Followed Exactly in Preparing Scripts Multiobjective Optimal Power Plant Operation Using Particle Swarm Optimization Technique
نویسندگان
چکیده
Multiobjective optimal power plant operation requires an optimal mapping between unit load demand and pressure set-point in a Fossil Fuel Power Unit (FFPU). In general, the optimization problem with varying unit load demand cannot be solved using a fixed nonlinear mapping. This paper presents a modern heuristic method, Particle Swarm Optimization (PSO), to realize the optimal mapping by searching the best solution to the multiobjective optimization problem, where the objective functions are given with preferences. This optimization procedure is used to design the reference governor for the control system. The approach provides the means to specify optimal set-points for controllers under a diversity of operating scenarios. Moreover, the PSO makes it possible for the optimization process to be implemented on-line in the operation of the FFPU. Copyright © 2005 IFAC
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