Novel Global-MPPT Control Strategy Considering the Variation in the Photovoltaic Module Output Power and Loads for Solar Power Systems

Abstract

This research proposed a novel global maximum power point tracking (global-MPPT) algorithm. The proposed algorithm eliminates the perturbation and observation (P&O) technique disturbance problem that the power point will be stuck at the local peak power point under a partial shading condition (PSC). The proposed global-MPPT algorithm detects the photovoltaic module (PV-M) environment irradiance level by the relationship between the output power and voltage of the PV-M. In the proposed algorithm, the important parameter w is determined by the PV-M output power and irradiance level, which is also the compensation parameter that corresponds to the relationship of temperature. The proposed global-MPPT algorithm is aimed to predict the best duty cycle of the global-MPPT based on the irradiance level, parameter w, PV-M output voltage, and load, and then achieve the maximum power point (MPP) quickly and accurately. The measurement results under UIC and PSC verify that the proposed global-MPPT technique performs better than the particle swarm optimization (PSO) and P&O techniques. This research contributes to the proposed method that can find the global-MPP in time based on the irradiance level, temperature, and load.

A Novel SLOPDM Solar Maximum Power Point Tracking Control Strategy for the Solar Photovoltaic Power System

“…This is because the actuating point of the P&O algorithm tracks the MPP with the perturbation character istic, which is suitable to operate on a Pspv−Vspv characteristic curve with only one MPP (as in the case of UIC). However, Pspv−Vspv characteristic curve has multiple peak power points under PSC, and the P&O algorithm actuating point will not be able to judge the MPP immediately and produce low power [22]. The above results are organized in Table 7, which shows the comparison of proposed SLOPDM, SAH, and P&O algorithms under PSC.…”

“…However, this SPMOPL MPPT control method needs huge data analysis (such as irradiance level, temperature, SPVM output voltage, etc. ), which will cause a system burden [22]. Jagadeesan et al proposed the right half−plane (RHP) MPPT control mechanism for tracking the MPP on the P spv −V spv curve of SPVM to improve the system efficiency.…”

“…Last, the MPP tracking speed of the proposed algorithm is superior to the P&O, SAH, SPMOPL, dual MPPT, and FSM MPPT algorithms. P&O algorithm [20] Low Medium Low SAH algorithm [21] Medium High Medium SPMOPL algorithm [22] Medium High Medium RHP MPPT algorithm [23] Low Medium High Dual MPPT algorithm [24] Medium High Medium Parabolic MPPT algorithm [25] Medium High High FSM MPPT algorithm [26] High High Medium VSSANN MPPT algorithm [27] Medium High High Proposed SLOPDM algorithm Low High High…”

Novel MPPT algorithm based on honey bees foraging characteristics for solar power generation systems

“…This method applies to UIC and PSC. However, massive data require estimation, which leads to system load [ 20 ]. Choi et al developed a two-dimensional (2-D) MPPT based on the hill climbing algorithm.…”

Reptile Search Algorithm (RSA)-Based Selective Harmonic Elimination Technique in Packed E-Cell (PEC-9) Inverter

“…The capacitor self-voltage regulation is a significant feature of a five-level PUC inverter; however, it is a major flaw in voltage balancing when the inverter is enlarged to generate additional step-voltage. Packed E-Cell (PEC), a new single-DC source, single-phase compact multilevel inverter topology that is more optimal than PUC, has recently been introduced [11,12]. The nine-level Packed E-Cell (PEC-9) is a single-phase, single-DC source with seven switches, one auxiliary DC-bus, and two extended horizontal DC capacitors.…”