Abstract
One of the important tasks for increasing the efficiency of photovoltaic (PV) system is the development and improvement of the maximum power point tracking algorithms (MPPT). These MPPT algorithms lead to the ability to catch efficiently the global maximum power point of the partially shaded PV array. One of these trackers is the particle swarm optimization (PSO) algorithm which is one of the Soft computing techniques. The conventional PSO based trackers have many advantages such as the simplicity of hardware implementation and independence from the installed system. The actual problem of the practical application of PSO is the determination of its parameters to ensure high effectiveness of extracting the global MPP. Analysis of scientific papers devoted to the PSO algorithm has shown that there is currently no methodology for the optimal parameters’ selection of PSO algorithm based maximum power trackers for the PV system. This paper aims to create a convenient and reasonable method for choosing the optimal parameters of the PSO algorithm, taking into account the topology and parameters of the DC-DC converter and the configuration of solar panels. A new method for selecting the parameters of a buck converter connected to a battery has been presented. The optimal value of the sampling time for the digital MPP controllers, providing their maximum performance; has been determined based on a new methodology. Matlab/Simulink software package is used as the main research tool. The prominent outcomes identify that the modified PSO and its designed parameters best meet the requirements of the MPPT controller for the PV system.
Highlights
The priority of the development of modern energy is the use of renewable energy sources (RES)
SIMULATION RESULTS This section aims to validate the correctness of the proposed methodology, which has been utilized to select the parameters defined in sections 3, 4 and 5 of the VARIABLE COEFFICIENTS PSO (VCPSO) based controller
The paper presents an original methodology for selecting the parameters of the main components of an autonomous PV system with an maximum power point tracking algorithms (MPPT) controller, which ensures the most efficient use of the available solar energy
Summary
The priority of the development of modern energy is the use of renewable energy sources (RES). There are several merits for RES, for instance, availability, environmental friendliness, and low maintenance. Among the resources of renewable energy, the photovoltaic (PV) modules are one of the most distinguished systems in the world because it has a longer lifespan (Typically more than 20 years), and many. Solar energy is rapidly developing in many countries of the world, with PV power generation that is showing the greatest dynamics development compared with the other types of RES. In 2017, solar energy attracted 58% of all new investments in renewable energy of 161 billion US dollars [2]. The major challenge when using PV energy is its strong dependence
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