A Review on different Parametric Aspects and Sizing Methodologies of Hybrid Renewable Energy System

Kumar, Sanjay; Sharma, Sumit; Sood, Yog Raj; Upadhyay, Subho; Kumar, Vineet

doi:10.1007/s40031-022-00738-2

Cited by 9 publications

(7 citation statements)

References 55 publications

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“…To model hybrid energy system , some parameters need to be taken into account. Parameter choice is the main phase in modeling hybrid energy system especially in rural areas, according to some criteria such as economic, technical, environmental and social [69].…”

Section: Figure 6 Global Diagram Of Hybrid Energy System [20]mentioning

confidence: 99%

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Saib,

Bayındır,

Vadi

2024

Gazi University Journal of Science

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Renewable energy systems are mostly used in the world due to their inexhaustible and non-polluting production. As a result of a large utilization of these energy sources in different areas, the electricity production rate is increasing every day. Previous studies clarified uses, modeling, configuration, energy management operation, and optimization objectives based on different energy sources. For this reason, this paper focuses on an overview of multi energy systems as renewable and conventional power sources with the integration of an energy storage system coupled to the on-off electrical network. Furthermore, a survey is done regarding global energy production, configuration energy systems, energy storage systems, power management strategies, and optimization methods based on different hybrid energy systems. Multiple optimization approaches have been implemented to reach the global best solution for the hybrid power systems. To ensure the best optimization result, it is preferable to take hybrid optimization methods into consideration. These methods have been invented recently and have proved their efficacy and performance mainly in power systems.

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Section: Figure 6 Global Diagram Of Hybrid Energy System [20]mentioning

confidence: 99%

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Saib,

Bayındır,

Vadi

2024

Gazi University Journal of Science

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“…Therefore, RET is the vital, and best choice for electricity at hilly telecom tower location instead of DG. There are many software tools available for the designing and modeling of hybrid energy system (Kumar et al, 2022; Sharma and Sood, 2022a) but from the recent study concluded HOMER is the most efficient, and reliable tool for the cost minimization (Sharma and Sood, 2022b; Sharma et al, 2022b), environmental emission minimization (Sharma and Sood, 2022b; Sharma et al, 2022b) and sensitivity analysis (Sharma and Sood, 2021) for the multiple varying factors in hybrid energy system. The main contributions of the author in this research paper are as follow:…”

Section: Introductionmentioning

confidence: 99%

Renewable based techno-economic analysis for telecommunication system: A case study of western Himalaya

et al. 2023

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This research article presents a technoeconomic analysis of an RET-based model for powering a hilly remote area telecom tower in Chamba district of Himachal Pradesh, India. Using the HOMER software tool with various evolutionary algorithms, the study found that the most feasible configuration was 30 kW of SP panels, 10 kW of DG units, 20 batteries, and 10 units of converter with a minimum energy cost value of 0.256 $/kWh. The energy cost values from various evolutionary techniques such as HHO, WOA, PSO, and GA were also observed to be competitive. After policy intervention and government subsidies, the cost of energy reduced to 0.167 $/kWh, which is significantly less compared to the diesel-powered system. Furthermore, sensitivity analysis was carried out for changes in solar radiations, ambient temperature, and diesel fuel prices to determine the best optimal configuration for the study.

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“…Another recent study by [39] performed a detailed power quality assessment of Karabuk University's grid-connected microgrid under high penetration of SPV generation and proposed optimal strategies to mitigate its effect on the grid. The studies [17,[40][41][42][43][44][45] provided detailed insight of the current development of optimization and control strategies for gridconnected systems.…”

Section: Introductionmentioning

confidence: 99%

“…In other words, they tackled the problem either at the generation (optimize production), transmission (sizing inverters), or distribution stage (dealing with technical connection challenges) [19]. Thus, a robust and complete optimal design strategy that addresses the problem at all stages does not exist [44]. This design approach holistically selects key variables required to optimize both cost and penetration level at each part of the HESS.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Optimal Selection and Analysis of Allowable Photovoltaic Penetration Level for Grid-Connected Systems Using a Hybrid NSGAII-MOPSO and Monte Carlo Method

Abubakar

Borkor

Amoako-Yirenkyi

2023

International Journal of Photoenergy

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Generally, the main focus of the grid-linked photovoltaic systems is to scale up the photovoltaic penetration level to ensure full electricity consumption coverage. However, due to the stochasticity and nondispatchable nature of its generation, significant adverse impacts such as power overloading, voltage, harmonics, current, and frequency instabilities on the utility grid arise. These impacts vary in severity as a function of the degree of penetration level of the photovoltaic system. Thus, the design problem involves optimizing the two conflicting objectives in the presence of uncertainty without violating the grid’s operational limitations. Nevertheless, existing studies avoid the technical impact and scalarize the conflicting stochastic objectives into a single stochastic objective to lessen the degree of complexity of the problem. This study proposes a stochastic multiobjective methodology to decide on the optimum allowable photovoltaic penetration level for an electricity grid system at an optimum cost without violating the system’s operational constraints. Five cutting-edge multiobjective optimization algorithms were implemented and compared using hypervolume metric, execution time, and nonparametric statistical analysis to obtain a quality solution. The results indicated that a Hybrid NSGAII-MOPSO had better convergence, diversity, and execution time capacity to handle the complex problem. The analysis of the obtained optimal solution shows that a practical design methodology could accurately decide the maximum allowable photovoltaic penetration level to match up the energy demand of any grid-linked system at a minimum cost without collapsing the grid’s operational limitations even under fluctuating weather conditions. Comparatively, the stochastic approach enables the development of a more sustainable and affordable grid-connected system.

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A Review on different Parametric Aspects and Sizing Methodologies of Hybrid Renewable Energy System

Cited by 9 publications

References 55 publications

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Renewable based techno-economic analysis for telecommunication system: A case study of western Himalaya

Stochastic Optimal Selection and Analysis of Allowable Photovoltaic Penetration Level for Grid-Connected Systems Using a Hybrid NSGAII-MOPSO and Monte Carlo Method

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