Experimental validation and intelligent control of a stand-alone solar energy conversion system using dSPACE platform

Yahiaoui, Fatah; Chabour, Ferhat; Guenounou, Ouahib; Zaouche, Faika; Bajaj, Mohit; Bajaj, Mohit; Shouran, Mokhtar; Elgamli, Elmazeg; Kamel, Salah

doi:10.3389/fenrg.2022.971384

Cited by 10 publications

(8 citation statements)

References 28 publications

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“…These two factors specify the total variation in power of PV module, and it is critical for PV interconnected power system dispatchers to be capable of determining the PV output properly. Due to the influence of environmental conditions, developing an accurate PV‐panel design analytic models or numerical simulations is extremely challenging 21,30 . The PV system is portrayed in Figure 3.…”

Section: Modeling and Methodologymentioning

confidence: 99%

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Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Belkhier,

Oubelaid

2024

Energy Storage

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This paper proposes a comprehensive solution to the challenges of managing a hybrid microgrid that generates electricity from multiple sustainable energy sources by proposing a coordinated energy management strategy and storage system. As renewable energy generation becomes increasingly popular, it introduces greater intermittency and stochasticity in energy management. To address this issue, a coordinated energy management strategy and storage system is proposed, which includes a fuzzy logic modified super twisting algorithm (MSTA). The objectives are to optimize the design and operation of microgrid including electrical based energy conversion systems such as photovoltaic and wind turbines, fuel cells, tidal energy, electric vehicle charging stations, and main grid. The second objective is to develop an energy management system for hybrid energy storage systems (HESS) and renewable energy sources (RESs) to maximize power production and ensure service continuity and smooth output energy of the microgrid, while also providing optimal benefits. To maintain cost‐effectiveness, an On/Off maximum power point tracking (MPPT) algorithm is also proposed. The contribution of this paper is to provide a solution to the intermittent and stochastic nature of renewable energy management and to improve the efficiency and durability of the energy conversion systems. The proposed management unit provides consistent output power and long‐term service.

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Section: Modeling and Methodologymentioning

confidence: 99%

“…Due to the influence of environmental conditions, developing an accurate PVpanel design analytic models or numerical simulations is extremely challenging. 21,30 The PV system is portrayed in…”

Section: Pv Array Conversion System Structurementioning

confidence: 99%

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Belkhier,

Oubelaid

2024

Energy Storage

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“…The countries with the greatest scientific production for fuzzy-decision-making-solarenergy were China (160), Türkiye (40), Iran (35), India (28), Spain (6), the USA (6), Italy (5), Morocco (5), Thailand (5), and Australia (4). The countries that produced articles with the most citations for fuzzy-decision-making-solar-energy were China (1676 citations), Türkiye (1008), Iran (841), India (269), France (154), Spain (112), Australia (103), Denmark (88), Colombia (82), and Italy (66). Note that China leads by far in both groups, with 160 articles published and more than 1670 citations.…”

Section: Fuzzy Decision-making In the Solar Energy Sectormentioning

confidence: 99%

“…It is essential to mention that no substantial difference exists between the numbe publications in the journals shown in the ranking, with a three-way tie for second pla The countries with the greatest scientific production for fuzzy-decision-making-so energy were China (160), Türkiye (40), Iran (35), India (28), Spain (6), the USA (6), Italy Morocco (5), Thailand (5), and Australia (4). The countries that produced articles with most citations for fuzzy-decision-making-solar-energy were China (1676 citations), Türk (1008), Iran (841), India (269), France (154), Spain (112), Australia (103), Denmark ( Table 9 shows the five journals with the highest number of publications. The journal Renewable Energy published the most articles related to fuzzy-decision-making-solar-energy.…”

Section: Fuzzy Decision-making In the Solar Energy Sectormentioning

confidence: 99%

Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation

et al. 2023

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The application of fuzzy hybrid methods has significantly increased in recent years across various sectors. However, the application of fuzzy hybrid methods for modeling systems or processes, such as fuzzy machine learning, fuzzy simulation, and fuzzy decision-making, has been relatively limited in the energy sector. Moreover, compared to standard methods, the benefits of fuzzy-hybrid methods for capturing complex problems are not adequately explored for the solar energy sector, which is one of the most important renewable energy sources in electric grids. This paper investigates the application of fuzzy hybrid systems in the solar energy sector compared to other sectors through a systematic review of journal articles published from 2012 to 2022. Selection criteria for choosing an appropriate method in each investigated fuzzy hybrid method are also presented and discussed. This study contributes to the existing literature in the solar energy domain by providing a state-of-the-art review of existing fuzzy hybrid techniques to (1) demonstrate their capability for capturing complex problems while overcoming limitations inherent in standard modeling methods, (2) recommend criteria for selecting an appropriate fuzzy hybrid technique for applications in solar energy research, and (3) assess the applicability of fuzzy hybrid techniques for solving practical problems in the solar energy sector.

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“…For these reasons, maximum power point tracking (MPPT) algorithms are incorporated into PV systems to monitor the operating point and keep the power as high as possible under any conditions. Undeniably, conventional MPPT techniques like the perturb and observe (P&O) [1] and the incremental conductance (InC) [2,3] are the most widely investigated and employed [4]. Broadly speaking, these classical approaches are generally grounded on the hill-climbing concept, which is based on perturbing the system along the direction of increasing power.…”

Section: Introductionmentioning

confidence: 99%

A New Fast and Efficient MPPT Algorithm for Partially Shaded PV Systems Using a Hyperbolic Slime Mould Algorithm

Belmadani,

Bradai,

Kheldoun

et al. 2024

International Journal of Energy Research

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The design of new efficient maximum power point tracking (MPPT) techniques has become extremely important due to the rapid expansion of photovoltaic (PV) systems. Because under shading conditions the characteristics of PV devices become multimodal having several power peaks, traditional MPPT techniques provide crappy performance. In turn, metaheuristic algorithms have become massively employed as a typical substitute in maximum power point tracking. In this work, a new optimizer, which was named the hyperbolic slime mould algorithm (HSMA), is designed to be employed as an efficient MPPT algorithm. The hyperbolic tangent function is incorporated into the optimizer framework equations to scale down large perturbations in the tracking stage and boost its convergence trend. Moreover, to provide a strong exploration capability, a new mechanism has been developed in such a way the search process is carried out inside the best two power peak regions along the initial iterations. This region inspection mechanism is the prime hallmark of the designed optimizer in avoiding local power peaks and excessive global search operations. The developed algorithm was examined through diverse complicated partial shading conditions to challenge its global and local search abilities. A comparative analysis was carried out against the well-regarded PSO, GWO, and the standard slime mould algorithm. In overall, the designed optimizer defeated its contenders in all aspects offering higher efficiency, superior robustness, faster convergence, and fewer fluctuations to the operating point. An experimental setup that consists of the DSpace microcontroller and a PV emulator was employed to validate the algorithm overall performance. The recorded outcomes outline that the developed optimizer can achieve a tracking time of 0.6 seconds and 0.86 seconds on average, with 99.85% average efficiency under complex partial shading conditions.

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Experimental validation and intelligent control of a stand-alone solar energy conversion system using dSPACE platform

Cited by 10 publications

References 28 publications

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation

A New Fast and Efficient MPPT Algorithm for Partially Shaded PV Systems Using a Hyperbolic Slime Mould Algorithm

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