Improving the dynamic performances of an MPPT controller for a Photovoltaic system using fuzzy logic

Abstract

This paper deals with analysis, modeling, and simulation of a Photovoltaic (PV) system with an intelligent Maximum Power Point Tracking (MPPT) controller based on fuzzy logic and to compare the dynamic performances: rapidity and stability of a fuzzy controller with the traditional controller based on the “Perturb and Observe” algorithm (P&O). The system is simulated under Simulink/Matlab environment. The simulation results show that the fuzzy MPPT controller is faster and more stable during abrupt changes in irradiation values.

Indirect power control of grid-connected photovoltaic system using fuzzy control with a three-level inverter

“…To set up the GPV model, we must first establish the electrical circuit equivalent. For several years great effort has been devoted to the study of mathematical models [9], [19]- [21]. For simplicity, the singlediode model as shown in Figure 2, is used in this paper.…”

“…For simplicity, the singlediode model as shown in Figure 2, is used in this paper. This model offers a good compromise in terms of ease and exactitude [9].…”

“…where: 𝐼 𝑝𝑣 : PV generator current supplied (A), 𝐼 𝑝ℎ is the photocurrent that mostly depends on the solar irradiance and cell's temperature, 𝐼 0 is the diode current (A) and 𝐼 𝑝 is the current leak in a parallel resistor (A). The V pv -I pv characteristic of the PV array can be computed by the following (2) [9]:…”

“…As can be seen from Figure 4, the proposed FLC has two inputs, the error (E) and the change of error (CE) with the output ΔD which is used to vary the duty cycle D of the boost converter. The (E), (CE), and (ΔD) can be computed at sample times k by the following equations [9], [26], [27]:…”

“…Some researchers have tried to develop these methods by varying the step size [5]- [8]. Artificial intelligence techniques are introduced to optimize the dynamics of the PPM search such as a fuzzy logic Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  controller (FLC) [9], [10] and artificial neural networks (ANN) presented in [11], [12], these advanced methods have demonstrated better performance. The power injection is controlled by the grid-connected inverter.…”