Performance Analysis of Photovoltaic Systems with Energy Storage Systems

Elbaset, Adel A.; Abdelwahab, Saad A. Mohamed; Ibrahim, Hamed A.; Eid, Mohammed Abdelmowgoud Elsayed

doi:10.1007/978-3-030-20896-7

Cited by 20 publications

(10 citation statements)

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“…It then compares this value to the actual "incremental conductance" calculated from voltage and current changes. Figure 4 visualizes the process of adjusting voltage based on this comparison to continuously track the MPP (Elbaset et al, 2020).…”

Section: Incremental Conductance Methodsmentioning

confidence: 99%

A comparison of several maximum power point tracking algorithms for a photovoltaic power system

Aifan G. Alsulami,

Alhussainy,

Allehyani

et al. 2024

Front. Energy Res.

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This paper presents a comparative study between traditional and intelligent Maximum Power Point Tracking (MPPT) algorithms for Photovoltaic (PV) powered DC Shunt Motors. Given the nonlinearity of PV systems, they require nonstandard approaches to harness their full potential. Each PV module has a unique maximum power point on its IV curve due to its nonlinear characteristic nature. Power electronic converters are utilized to enable operation at that point. There are many different algorithms described in the introduction, each with its have their own advantages and drawbacks. Recognizing the potential enhancement of PV system efficiency through effective Maximum Power Point (MPP) tracking, this paper evaluates five MPPT methods under varying DC loads. The five algorithms will be as follows: Incremental Conductance and Perturb and Observe as traditional algorithms. Fuzzy Logic Control, Artificial Neural Networks, and Adaptive Neuro-Fuzzy Inference Systems as Intelligent Algorithms. While traditional algorithms generally produced acceptable results except for Perturb & Observe, intelligent algorithms performed well under rapidly changing solar radiation conditions. Due to inadequate data, intelligent algorithms relying on data training struggled to track the maximum power point when the temperature changed due to inadequate data used for the training. The analysis focuses on the time required by each method to reach peak power under different load conditions, solar irradiance, and temperature variations. The advantages and disadvantages of each MPPT with a shunt DC motor are detailed in the comparative study.

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Section: Incremental Conductance Methodsmentioning

confidence: 99%

A comparison of several maximum power point tracking algorithms for a photovoltaic power system

Aifan G. Alsulami,

Alhussainy,

Allehyani

et al. 2024

Front. Energy Res.

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“…where, E l is the average load demand, AD the autonomous days (approximately 3-5 days), DOD is depth of discharge allowed limit, Batt is the battery efficiency and inv is inverter efficiency. The values of DOD, Batt , and inv are 80%, 85%, and 95% respectively [32].…”

Section: Battery Modelmentioning

confidence: 99%

Optimal Economic and Environmental Indices for Hybrid PV/Wind-Based Battery Storage System

Elnozahy

Yousef

Ghoneim

et al. 2021

J. Electr. Eng. Technol.

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This paper shows an application of hybrid PV/wind energy and battery storage in the islanded area. This work's main target allows the distributed energy resources to contribute efficiently in the economic feasibility and enhance the environmental impact of the hybrid renewable energy source. Several factors such as levelized cost of energy (COE), greenhouse gas (GHG) emissions, and loss of power supply probability are studied. A combined solution is to compromise the economic and environmental aspects via the Utopia point approach is investigated. The optimal configuration of the hybrid PV/wind along with battery-storage and diesel engine as secondary source is obtained via meta-heuristic optimizers: Genetic Algorithm (GA) and Particle-Swarm Optimization (PSO) and impartial comparison of the results with HOMER software. The results of Utopia point solution show that the PV (about 46%) and wind turbine (about 13%) are shared significantly as primary renewable sources and battery storage (about 39%) as storage options. Meanwhile, the diesel engine (about 3%) has insignificant sharing in feeding the demand load. The optimal COE and GHG, which are achieved via GA and PSO optimization techniques are 0.182$/kWh and 12076 kg/year, agansit 0.343$/kWh and 17618 kg/year that are obtained via HOMER software, respectively. This corssponing to 47% and 31% reduction in COE and GHG, respectively. Sensitivity studies demonstrate that the variation of the wind energy sharing from 50 to 150% shows that the wind energy has a slight effect considering the GHG emissions. Contrarily, lower PV sharing ratios undesirably raises the levelized COE, however, reduces the GHG emissions. KeywordsPhotovoltaic (PV) • Hybrid renewable generations (HRGs) • GA • PSO • GHG • Cost of energy (COE) • Utopia point Abbreviations AD Autonomy days COE Cost of energy ($/kWh) DOD Depth of discharge (%) GHG Green-house gas HRGs Hybrid renewable energy system GA Genetic algorithm PSO Particle swarm optimization NOCT Normal operating cell temperature (°C) NPC Net present cost * Saad A.

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“…where V+, V−, and φ+, φ − represent the amplitude and phase of the negative and positive sequence voltages, respectively. [33] Which is solved for Voc:…”

Section: Photovoltaic Inverter Topology and Mathematical Designmentioning

confidence: 99%

Comparative Analysis of Three-Phase PV Grid Connected Inverter Current Control Schemes in Unbalanced Grid Conditions

et al. 2023

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Recently, the regulation of photovoltaic inverters, effectively under imbalanced voltages on the grid, has been crucial for the operation of grid-connected solar systems. In this regard, determining the output current reference is an integral aspect of managing a solar inverter with an unbalanced voltage. Based on evaluations of Instantaneous Active-reactive Control (IARC), Positive Negative Sequence Control (PNSC), Balanced Positive Sequence Control (BPSC), and Average Active-reactive Control (AARC), this paper proposes a novel variablecurrent-t-reference calculation method for minimizing power fluctuations and current harmonics. The controller is employed to regulate both constructive and destructive sequences inside a static framework, therefore enhancing dynamic performance and facilitating the selection of suitable controls in the presence of significant network defects. This study also suggests comparing the four MPPT methodologies examined (fuzzy logic, current only, Incremental Conductance, and Perturb & Observe) to maximize energy output. The simulation results efficiently validate the suggested computation approach that is presented in the current reference.INDEX TERMS Grid-connected PV system; output current reference; Dual controller; current harmonics; MPPT Techniques; and DC-DC Converter.

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Performance Analysis of Photovoltaic Systems with Energy Storage Systems

Cited by 20 publications

References 0 publications

A comparison of several maximum power point tracking algorithms for a photovoltaic power system

A comparison of several maximum power point tracking algorithms for a photovoltaic power system

Optimal Economic and Environmental Indices for Hybrid PV/Wind-Based Battery Storage System

Comparative Analysis of Three-Phase PV Grid Connected Inverter Current Control Schemes in Unbalanced Grid Conditions

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