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Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We report the application of the Model-based Predictive Control (MPC) to improve the performance of the start-up of a 150-175 MW combined cycle power plant whose gas turbine is fueled by natural gas. In concrete the ...
Pareto-based modulated model predictive control strategy for power converter applications
(Elsevier Ltd, 2019)
Modulated model predictive control (M 2 PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using ...
Fuzzy predictive control of a solar power plant
(2005)
This work presents the application of fuzzy predictive control to a solar power plant. The proposed predictive controller uses fuzzy characterization of goals and constraints, based on the fuzzy optimization framework for ...
Predictive control with fuzzy characterization of percentage of solids, particle size and power demand for minerals grinding
(IEEE, 2001)
The application of fuzzy predictive control to solve the regulatory problem in mineral grinding plants is considered. The controlled variables are percentage of solids, particle sizes and power demand and the manipulated ...
Prediction of water chemical properties in the cycle of a coal power plant using artificial neural networks
(IEEE, 1998)
Describes a systematic methodology based on artificial neural networks for model identification and its application to the prediction of water chemical properties under normal operation conditions in a power plant. The ...
An active power filter using single-phase NPC converters and predictive control for medium voltage distribution systems
(IEEE, 2013)
An active power filter implemented with three single-phase Neutral Point Clamped (NPC) converters is presented and analyzed. The proposed active power filter is aimed to compensate current harmonics and reactive power in ...
Reliability assessment of energy limited systems using sequential montecarlo simulation
(2006-12-01)
This paper explains why the reliability assessment of energy limited systems requires more detailed models for primary generating resources availability, internal and external generating dispatch and customer demand than ...
Reliability assessment of energy limited systems using sequential montecarlo simulation
(2006-12-01)
This paper explains why the reliability assessment of energy limited systems requires more detailed models for primary generating resources availability, internal and external generating dispatch and customer demand than ...
Simulation of the model predictive control applied to a combined cycle plant
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We present the simulation of the application of the Model-based Predictive Control (MPC) of the drum level in a Combined Cycle Plant in order to minimize the time for reaching the highest capacity of plant, around 225 MW. ...
On predicting wind power series by using Bayesian Enhanced modified based-neural network
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this paper, wind power series prediction using BEA modified (BEAmod.) neural networks-based approach is presented. Wind power forecasting is a complex, multidimensional, and highly non-linear system. Neural network is ...