Raul Garduno-Ramirez

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—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(More)
This paper presents an overall control scheme for wide-range multiobjective-optimal operation of a fossil-fuel power unit. The scheme provides the means to accommodate operating scenarios characterized by multiple operating requirements, and to attain optimal operation along any arbitrary unit load-demand pattern. The proposed strategy builds upon current(More)
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(More)
A gain-scheduling control scheme produces a nonlinear global controller from a series of local controllers tuned at specific operation points. A major problem on the design of gain scheduling controllers is the design and implementation of the switching logic to have a smooth plant response all over the operation range. This point is solved with the(More)
Development of control systems for power plants must demonstrate satisfactory real-time performance in both, the development and the target platforms, before going into actual operation. This paper presents the tuning procedure of a four-loop cascaded control scheme for a gas-turbine driven electric generator, and the real-time performance evaluation,(More)
This paper presents two realizations a 2-DOF PI fuzzy gain-scheduling controller for wide-range speed control of combustion turbogenerators. The 2-DOF scheme allows independent tuning of the reference tracking and the disturbance rejection characteristics for the controlled system. Then, the fuzzy approach extends these characteristics all over the(More)
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