Fuzzy predictive control of a solar power plant

Abstract

Abstract-This paper 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 multi-objective satisfaction problems. This approach enhances model based predictive control (MBPC) allowing the specification of more complex requirements. A brief description of the solar power plant and its simulator is given. Basic concepts of predictive control and fuzzy predictive control are introduced. Two fuzzy predictive controllers using different membership functions are designed for a solar power plant, and they are compared with a classical predictive controller. The simulation results show that the fuzzy MBPC formulation, based on a well proven successful algorithm, gives a greater flexibility to characterize the goals and constraints than classical control.

Solar Energy Collector Systems

“…Other approaches include fuzzy logic based control (Rubio et al 1995;Cardoso et al 1999;Flores et al 2005;Pereira and Dourado 2002) and control based on neural network models (Arahal et al 1998).…”

Fuzzy universal model approximator for distributed solar collector field control

“…The proposed models are usually either a black box representation or a semi-discretized model approximation. The former takes advantage of experts' experience proposing a certain lumped model structure that will be used as a basis for control design [3], [7], [8]. Whereas, the latter spatially discretizes the PDE leading to a set of ordinary differential equations for finite dimensional controller design [12].…”

Application of intelligence-based predictive scheme to load-frequency control in a two-area interconnected power system

“…Due to the fact that this model is unspecified, in-depth analysis of the chosen model is needed to evaluate its response. Nowadays, LFC implementation has been considered by several researchers to improve the performance of multi-area interconnected power systems in line with intelligence-based techniques [1][2][3][4][5][6][7][8][9][10][11][12][13]. In these research works, LFC could be implemented using both traditional and intelligent techniques.…”