Methods of effective use of solar power system

Обухов, С. Г.; Plotnikov, I. A.; Sheryazov, S. K.

doi:10.1109/icieam.2016.7911015

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…Several conventional MPPT techniques have been proposed and there has been considerable research on them [8] [9]. Among the conventional techniques mentioned in these publications are perturbation and observation (P&O) [10], [11], hill climbing (HC) algorithm [12], fractional open circuit voltage and short circuit current methods [13], switching ripple correlation [14], sliding mode control [15], incremental conductance (IC) [16] [17], constant voltage [18] and some other techniques [19]. Amongst the conventional MPPT techniques, the P&O and HC algorithms are considered the most popular ones due to their ease of implementation [20].…”

Section: Conventional Mppt Techniquesmentioning

confidence: 99%

A critical evaluation of maximum power point tracking techniques for PV systems working under partial shading conditions

Omar

PAMUK

Kulaksız

2023

Turkish Journal of Engineering

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Photovoltaic systemMaximum power point tracking Partial shading conditions Global tracking Artificial intelligence Photovoltaic (PV) energy is a promising source of renewable energy which is sturdy and environmentally friendly. PV generation systems, once installed, produce electricity from solar irradiance without emitting greenhouse gases. To maximize the output power of PV systems, the maximum power point tracking system has been employed (MPPT). The MPPT constitutes a fundamental part of PV systems. In recent years, a large number of MPPT techniques have been proposed. This paper is set up to critically review some of the proposed maximum power point tracking (MPPT) techniques to handle the emergence of multiple MPPs in PV panel characteristics due to the partial shading conditions (PSCs). To define the working principle and the pros and cons of the different proposed techniques clearly and sequentially, they are divided into three groups as follows: conventional MPPT techniques, improved MPPT techniques and artificial intelligence-based MPPT techniques to deal with PSCs. The paper also critically summarizes the findings in terms of their performance in capturing the global maximum power point (GMPP) for PV systems operating under PSCs.

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Section: Conventional Mppt Techniquesmentioning

confidence: 99%

A critical evaluation of maximum power point tracking techniques for PV systems working under partial shading conditions

Omar

PAMUK

Kulaksız

2023

Turkish Journal of Engineering

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“…A PV array can be represented by the single-diode model shown in Fig. 2 [7]. The mathematical equation that expresses the output current of the PV cell is given as follows [16]: Normally, a PV array comprises N P parallel branches, each with N S solar cells in series.…”

Section: Mathematical Models Of the Components Of A Photovoltaic System A Modeling Of A Pv Cellmentioning

confidence: 99%

“…The mathematical equation that expresses the output current of the PV cell is given as follows [16]: Normally, a PV array comprises N P parallel branches, each with N S solar cells in series. The total current from these modules can be described as [7]:…”

Section: Mathematical Models Of the Components Of A Photovoltaic System A Modeling Of A Pv Cellmentioning

confidence: 99%

“…A variety of conventional techniques such as perturb and observe (P&O) [5], incremental conductance [6], constant voltage [7] and some others [8] have been introduced to extract the MPP of the solar array under uniform solar irradiance of the PV system. Although these approaches show good performance in detecting this maxima, they failed to catch the global maximum power point (GMPP) under partial shading conditions (PSC) of the PV panels.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers for Stand-Alone PV System Under Partial Shading Conditions

et al. 2020

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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.

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“…In order to achieve an optimal power transfer, from the generator to load, it is imperative to maintain both the PV and wind generators and the load at their respective optimum operating conditions (i.e., maximum power point tracking (MPPT) operations) [29,30]. Therefore, it should be observed that for ensuring the energy balance in the system, the amount of power generated P WT and P PV are considered unmanaged variables.…”

Section: Description Of the Proposed Architecture Of Construction Andmentioning

confidence: 99%

Power Balance Management of an Autonomous Hybrid Energy System Based on the Dual-Energy Storage

et al. 2019

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The urgent task of modern energy is to ensure reliable and efficient power supply to consumers, even those located in remote, far end places. A hybrid energy system with renewable energy sources is a promising way to ensure such a process. A characteristic feature of the modes of such systems, especially with high penetration levels of renewable energy sources, is the presence of ripples in the charge–discharge currents of the batteries used as energy storage devices. Batteries operation with such current fluctuations leads to rapid degradation of its characteristics as well as a reduction in its lifetime. Furthermore, it leads to a decrease in the reliability of the power supply system and an increase in the cost of generated electricity. A significant drawback of hybrid systems built according to well-known standard schemes is the inefficient use of the primary renewable energy, which is especially critical for energy systems located geographically in areas with severe climatic conditions. This article proposes a new construction method and an algorithm for controlling the modes of hybrid energy systems based on a dual-circuit energy storage device, which increases their reliability and energy efficiency. The prominent outcomes of operating modes of a hybrid power plant with a high penetration of renewable sources are presented, which proves that the proposed method of construction and the proposed control algorithm provide reliable and efficient control of the power balance of the hybrid power system in all possible operating conditions. In addition, the overall efficiency of the proposed renewable energy system is increased from 28% to 60% compared to standard hybrid power plants.

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Methods of effective use of solar power system

Cited by 11 publications

References 14 publications

A critical evaluation of maximum power point tracking techniques for PV systems working under partial shading conditions

A critical evaluation of maximum power point tracking techniques for PV systems working under partial shading conditions

Optimal Performance of Dynamic Particle Swarm Optimization Based Maximum Power Trackers for Stand-Alone PV System Under Partial Shading Conditions

Power Balance Management of an Autonomous Hybrid Energy System Based on the Dual-Energy Storage

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