Hybrid Renewable Energy Systems for Future Power Grids

Eager, Rebecca; Islam, Md. Rabiul

doi:10.1007/978-981-16-9856-9_3

Cited by 2 publications

(1 citation statement)

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“…In reference [34], an artificial intelligence approach was used to build a HESS. Up-to-date comprehensive reviews on various design methodologies for the HESS have been summarized in the studies [12,13,[35][36][37][38][39][40][41]. Despite the fact that different scholars have approached the design challenge in various ways, it remains a complex topic [25-28, 34, 42-44].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Optimal Design of Household-Based Hybrid Energy Supply Systems Using Sample Average Approximation

Abubakar

Borkor

Amoako-Yirenkyi

2022

Mathematical Problems in Engineering

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In terms of energy production, combining conventional and renewable energy sources prove to be more sustainable and cost-effective. Nevertheless, efficient planning and designing of such systems are extremely complex due to the intermittency of renewable sources. Many existing studies fail to capture the stochasticity and/or avoid detailed reliability analysis. This research proposes a practical stochastic multi-objective optimization tool for optimally laying out and sizing the components of a grid-linked system to optimize system power at a low cost. A comparative analysis of four state-of-the-art algorithms using the hypervolume measure, execution time, and nonparametric statistical analysis revealed that the nondominated sorting genetic algorithm III (NSGA-III) was more promising, despite its significantly longer execution time. According to the NSGA-III calculations, given solar irradiance and energy profiles, the household would need to install a 5.5 (kWh) solar panel tilted at 26.3° and orientated at 0.52° to produce 65.6 (kWh) of power. The best battery size needed to store enough excess power to improve reliability was 2.3 (kWh). The cost for the design was $73520. In comparison, the stochastic technique allows for the construction of a grid-linked system that is far more cost-effective and reliable.

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