Fuzzy Control of Solar Power Plant
Abstract
Introduction: A solar battery is one of the main tools for the creation of renewable energy sources. Nonlinear characteristics of a solar battery as a control object require the improvement of control algorithms for the efficient generation of energy in a changing environment. Purpose: Our goal is to develop a simulation model of a solar battery for the synthesis and study of a fuzzy algorithm for the control of the maximum power point. Results: Some options have been considered for modeling a solar battery using a physical modeling library in Simscape, and using graphical programming in Simulink. These models were used in the synthesis of a system for the control of the maximum power point of a solar module. Two control options were studied: perturb and observe algorithm, and fuzzy logic control. It is shown that the nonlinear control law provided by the fuzzy controller allows you to reduce the time of the transient process by eliminating the oscillations of the output power. Practical relevance: The application of fuzzy control can be useful in the design of control systems for a wide range of solar energy facilities.Published
2017-10-20
How to Cite
Burakov, M., & Shishlakov, V. (2017). Fuzzy Control of Solar Power Plant. Information and Control Systems, (5), 62-70. https://doi.org/10.15217/issn1684-8853.2017.5.62
Issue
Section
Information and control systems