An Improved Incremental Conductance-Maximum Power Point Tracking Algorithm Based on Fuzzy Logic for Photovoltaic Systems

Abstract

: This paper presents an improved Incremental Conductance -Maximum Power Point Tracking (INC-MPPT) algorithm based on fuzzy logic for photovoltaic (PV) systems. The demonstrative PV system consists of the solar array with a nominal power of 320W, a non-inverting buck-boost converter, and a resistive load. The PV system's objective is to seek efficiently the maximum power point (MPP) of the solar array in varying weather conditions. To do this, the proposed fuzzy-based INC-MPPT algorithm is designed with two sub-controllers. Wherein, in the first one, a novel fuzzy logic controller (FLC) is proposed to enhance the effectiveness of the conventional INC-MPPT. Its aim is determining rapidly and accurately the optimal voltage, where the solar array operates at the MPP. The other is a PI anti-windup controller, and it regulates the operating PV array's voltage to the optimal voltage computed in advance. Simulations show that the suggested algorithm fulfills well the listed goal even when the solar irradiance and temperature change suddenly. Furthermore, comparisons of simulation results, obtained from the presented algorithm, the conventional INC, and an existing fuzzy-based INC-MPPT, illustrate advantages of the proposed algorithm in terms of fast response speed, high accuracy, and small oscillation. The feasibility and efficacy of the suggested algorithm are also verified by experiments.

Linear Quadratic Regulator and Fuzzy Control for Grid-Connected Photovoltaic Systems

“…In addition, the fuzzy-based INC-MPPT controller (see Figures 3-7 and Table 4) in this paper is improved from our past method [33], with significant modifications in the pre-scaling module G p (k) for increasing the sensitivity of the slope S p (k), in the fuzzy association rules for boosting the speed of searching the MPP, and in the control parameter values, which are designed and tuned to be more suitable for grid-connected PV systems with the LCL output filter. The detailed analysis and evaluation of the effectiveness of the prior related MPPT method for a small stand-alone PV system in various simulations and experiments can be referred to in Sections 4 and 5 of our past work [33], in which cases of partial shadow on the PV array were also investigated in experiments. Moreover, the influence of the module temperature on the performance of the stand-alone PV system and MPPT controller can be found in Sections 2.2 and 4.3 of the prior study [33].…”

“…The detailed analysis and evaluation of the effectiveness of the prior related MPPT method for a small stand-alone PV system in various simulations and experiments can be referred to in Sections 4 and 5 of our past work [33], in which cases of partial shadow on the PV array were also investigated in experiments. Moreover, the influence of the module temperature on the performance of the stand-alone PV system and MPPT controller can be found in Sections 2.2 and 4.3 of the prior study [33]. In fact, our present paper proposes a complete control solution for grid-connected single-phase PV systems including the LCL output filter based on fuzzy control and LQR techniques with multiple objectives as described in Sections 1 and 3 above; thus, it is noted that the separate assessment of the MPPT controller compared to other MPPT systems is out the scope of this study.…”

A Novel Approach for Improving the PQ in SPIM

“…The complete power, required by Single Phase Induction Motor¸is supplied by the AC link with parallel LC resonant circuit. In the beginning, as the machine draws heavy current, the AC link voltage falls to the least value and reaches as low as 180 V [17][18][19][20]. Further, due to increasing torque at the beginning, the speed also increases.…”