Improvement of techno-economic optimal sizing of a hybrid off-grid micro-grid system

Amara, Sihem; Toumi, Sana; Salah, Chokri Ben; Saidi, Abdelaziz Salah

doi:10.1016/j.energy.2021.121166

Cited by 51 publications

(18 citation statements)

References 66 publications

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“…According to the literature, the maximum value of the SOC that can be discharged from the energy storage unit (ESU) is about 30% to ensure battery life. There have been several research studies showing that the depth of discharge (DOD) value should not exceed 70% [40][41][42][43] of the maximum capacity of the battery to maintain its health condition.…”

Section: System Modelingmentioning

confidence: 99%

Photovoltaic Class‐E Inverter for Resonance Wireless Power Transfer for Electric Vehicle Charging Applications with Optimization Algorithms

et al. 2023

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A wireless power transfer (WPT) station supplied by an array of solar panels is presented, where solar energy comes from an array of panels with 120 V voltage and 3 A current. It is subjected to maximum power point tracking algorithm optimization on a boost converter, where the duty cycle of the converter is adjusted with an interval chosen between [0.2, 0.8], which is used to iteratively compare between the input and output signals in order to have a maximum power at the output. After regulating the panel array signal through the boost converter, the signal is transferred to an additional middle stage whose role is to raise the frequency until it reaches the resonance frequency of the WPT charger. The device responsible for this task is an inverter based on a class‐E inverter architecture and a GaN transistor technology. The inverter is controlled by a DSP card in a hard‐switch mode and delivers the output signal with a frequency of 10 Mhz, which is the resonance frequency of spiral coils of wireless chargers. Herein, the signal nature can be seen at the terminal of a fixed load with signal optimization through the MPPT algorithm and the HF inverter control mode.

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Section: System Modelingmentioning

confidence: 99%

Photovoltaic Class‐E Inverter for Resonance Wireless Power Transfer for Electric Vehicle Charging Applications with Optimization Algorithms

et al. 2023

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“… Refs. Year Location Microgrid System Techniques/Tool Objective Function Strength Weakness 25 2020 Aljouf, Saudi Arabia PV/WT/BESU/DG PV/BESU/DG WT/Battery/DG SSO, GWO, HHO, MVO, WOA and ALO COE A clear and detailed research with several results This study has limited constraints, and the suggested SSO could be explored more 27 2020 Yobe State, Nigeria PV/WT/BESU/DG PSO, CSA, GOA MOGOA COE COE/DPSP Application of single-objective and multi-objective methods (GOA and MOGOA) The proposed study doesn't analyze different architectures, and it doesn't compare MOGOA to other algorithms 28 2021 Dakhla, Morocco PV/WT/BESU/DG EO, HHO, GWO, AEFA, and STOA NPC Apply a novel meta-heuristic optimization algorithm with many constraints There weren't many different architectures or configurations analyzed 29 2021 Sousse, Tunisia PV/WT/BESU/DG RG TNPC/EC Real weather data are considered Algorithm comparison is needed to make sure that the RG algorithm can give the best results 30 2022 Yalova, Turkey PV/WT/BESU/DG HS, HOMER, ACO and Jaya ACS Simple and clear research The sensitivity analysis is not included …”

Section: Introductionmentioning

confidence: 99%

Techno-economic optimization for isolated hybrid PV/wind/battery/diesel generator microgrid using improved salp swarm algorithm

Belboul,

Toual,

Bensalem

et al. 2024

Sci Rep

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The main objective of this study is to develop a new method for solving the techno-economic optimization problem of an isolated microgrid powered by renewable energy sources like solar panels, wind turbines, batteries, and diesel generators while minimizing greenhouse gas emissions. An Improved Salp Swarm Algorithm (ISSA) with a position adaptation mechanism for the salp leader that involves a leader salp that moves about depending on both food availability and its previous position has been proposed to overcome the convergence problem. In the original SSA, as the approach converges, it can no longer find optimal solutions and becomes trapped in a local minimum. Three Microgrid System (MS) configurations are discussed: PV/WT/BESU/DG, PV/BESU/DG, and WT/BESU/DG. The proposed method seeks to find a middle ground between technical criteria and environmental concerns when deciding on PV, WT, BESU, and DG sizes. The findings indicate that the proposed ISSA approach gives superior results compared to other well-known algorithms like the original SSA, the Ant Lion Optimizer (ALO), the Dragonfly Approach (DA), and the Moth-Flame Optimization Algorithm (MFO), which, after significant investigation, has been proven to help determine the appropriate microgrid size. With PV sizes of 10, 9 WT, 24 BESU, and 3 DG, the PV/WT/BESU/DG configuration offers the highest level of cost-effectiveness with Cost of Energy (COE) of 0.2109 $/kWh, Net Present Cost (NPC) of 376,063.8 $, Loss of Power Supply Probability (LPSP) of 4%, Renewable Energy Fraction (REF) of 96%, and CO2 emission of 12.4457 tons/year. ISSA is brought up as a possible solution to both the problem of rising energy prices and the difficulties inherent in microgrid design.

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“…Within a comparative analysis, authors concluded that utilising dynamic and predictive modelling techniques would enable the model to be expandable, and simple to use while still maintaining its accuracy. Using an iterative approach based on a recursive algorithm, improvements were made to a techno-economic optimal sizing technique of a hybrid off-grid microgrid system in [6]. However, a new mutation adaptive differential evolu-tion (MADE) based on a multi-objective optimization algorithm is presented in [10] to optimise the configuration of the off-grid stand-alone photovoltaic systems.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Model for Household Off-Grid Simulation (Off-Grid System Sizing)

Groza

Gicevskis

Linkevičs

et al. 2022

Latvian Journal of Physics and Technical Sciences

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The paper presents the results of the research, which was initiated in our previous publication. The main goal of the research is to develop and validate our own multi-objective simulation tool for determination of optimal mix and sizing of off-grid and grid-connected microgrid systems. The first version of the developed model was tailored specifically for simulation of household off-grid system, which consisted of solar photovoltaics (PV), micro wind turbine, electric batteries, and backup power generator. Proposed algorithms are based on simulation of mentioned resources and hourly electric loads of off-grid system with the objective to reduce unsupplied energy volumes and total system costs. Several alternatives were considered with different configurations of the off-grid system and dispatching strategies of available resources. The developed model was validated with calculations of real off-grid system and results were compared to those, which were made in the previous publication, using Homer Pro software.

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Improvement of techno-economic optimal sizing of a hybrid off-grid micro-grid system

Cited by 51 publications

References 66 publications

Photovoltaic Class‐E Inverter for Resonance Wireless Power Transfer for Electric Vehicle Charging Applications with Optimization Algorithms

Photovoltaic Class‐E Inverter for Resonance Wireless Power Transfer for Electric Vehicle Charging Applications with Optimization Algorithms

Techno-economic optimization for isolated hybrid PV/wind/battery/diesel generator microgrid using improved salp swarm algorithm

Mathematical Model for Household Off-Grid Simulation (Off-Grid System Sizing)

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