DC-DC Boost Converter Design for Fast and Accurate MPPT Algorithms in Stand-Alone Photovoltaic System

Abstract

<span>The main components of a Stand-Alone Photovoltaic (SAPV) system consists of PV array, DC-DC converter, load and the maximum power point tracking (MPPT) control algorithm. MPPT algorithm was used for extracting maximum available power from PV module under a particular environmental condition by controlling the duty ratio of DC-DC converter. Based on maximum power transfer theorem, by changing the duty cycle, the load resistance as seen by the source is varied and matched with the internal resistance of PV module at maximum power point (MPP) so as to transfer the maximum power. Under sudden changes in solar irradiance, the selection of MPPT algorithm’s sampling time (T<sub>S_MPPT</sub>) is very much depends on two main components of the converter circuit namely; inductor and capacitor. As the value of these components increases, the settling time of the transient response for PV voltage and current will also increase linearly. Consequently, T<sub>S_MPPT </sub>needs to be increased for accurate MPPT and therefore reduce the tracking speed. This work presents a design considerations of DC-DC Boost Converter used in SAPV system for fast and accurate MPPT algorithm. The conventional Hill Climbing (HC) algorithm has been applied to track the MPP when subjected to sudden changes in solar irradiance. By selecting the optimum value of the converter circuit components, a fast and accurate MPPT especially during sudden changes in irradiance has been realized.</span>

Modeling and simulation of solar PV module for comparison of two MPPT algorithms (P&O & INC) in MATLAB/Simulink

“…The DC-DC boost converter circuit shown in Figure 10, the circuit consists of DC input source voltage Vin to represent the PV output voltage, L is boost inductor, boost controlled switch IGBT, C2 is boost filter capacitor, boost diode D and R is load resistance [13][14]. Vout is the voltage output from the boost converter, Vin is the voltage input to the boost converter from the PV array and (d) is the duty-cycle generated from MPPT controller either by P&O or INC to boost the input voltage using pulse width modulation (PWM) technique as shown in Figure 11 [15].…”

“…There is a comparison between these two algorithms for the different parameters are given in Table 3. The output current can be determined by (14). The results obtained in this paper from 60-watt solar panels can be compared to the results obtained from 60watt and 70-watt solar panels in [25][26].…”

“…The results obtained in this paper from 60-watt solar panels can be compared to the results obtained from 60watt and 70-watt solar panels in [25][26]. (14)…”

A maximum power point tracking based on levy flight optimization

“…This phenomenon is inevitable and unpredictable which cause partial shading condition (PSC) to occur [16]. Soft computing methods are considered as the most potential candidates to mitigate the [17]. Nowadays, soft computing methods such as artificial intelligent network (ANN) [15,16], Fuzzy Logic Control (FLC) [16,18,19] and Particle Swarm Optimization (PSO) are most preferable among researchers [22].…”

Controlador MPPT baseado em Lógica Fuzzy Aplicado a um Sistema Fotovoltaico Conectado à uma Rede

“…Algortimos de MPPT utilizam a tensão e a corrente geradas pelo sistema fotovoltaico para regular o ciclo de trabalho (do inglês, duty cycle) do sinal de Pulse Width Modulation -PWM aplicado no chaveamento do conversor CC/CC presente no sistema, consequentemente fazendo com que o sistema opere no ponto de máxima transferência de potência -PMP (Hashim et al, 2018) (representado pelo ponto "A" na Figura 1). Atualmente existem diferentes metodologias de implementação de algoritmos MPPT, destacando-se a Perturbe e Observe (P & O) e a Condutância Incremental, que são algoritmos que se baseiam nas medições de tensão e corrente dos painéis para realizar a tomada de decisão sobre o aumento ou diminuição da variável sendo controlada (Soulatiantork et al, 2018…”