Microgrid Economic Viability Assessment: An introduction to MG-REVALUE

Khodaei, Amin; Bahramirad, Shay; Paaso, Esa Aleksi; Avendaño, Manuel

doi:10.1016/j.tej.2017.03.009

Cited by 6 publications

(2 citation statements)

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“…Microgrid robust economic viability assessment under lasting uncertainty enclosure (MG-REVALUE) [42] is a robust optimization tool capable of returning the optimal microgrid sizing and configuration for each unique microgrid deployment scenario. This tool provides a viable means of simulation and optimization for microgrid deployments based on selected user inputs which includes: DERs considered by the user, minimum and maximum load capacity, current and future energy consumption forecasts, desired reliability performance levels, budget constraints, and the uncertainty thresholds.…”

Section: Techno Economical Aspects Standards Of DC Microgridmentioning

confidence: 99%

Overview of microgrid systems

Saravanan

Venkatachalam

Arumugam

et al. 2021

IJAAS

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<span>This research paper discusses the different types of microgrids, their structural arrangements and the technology adopted for different power management projects. It also deals with various control strategies and security plans used for optimal performance. A detailed overview of the direct current (DC) microgrid system is discussed, outlining its configurations and technical-economic aspects. Performance evaluation of microgrid carried out through various reliability codes is also provided.</span>

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Section: Techno Economical Aspects Standards Of DC Microgridmentioning

confidence: 99%

Overview of microgrid systems

Saravanan

Venkatachalam

Arumugam

et al. 2021

IJAAS

View full text Add to dashboard Cite

show abstract

“…While examining the sustainability of a microgrid, it is best that all costs and benefits that microgrids incur and bring are considered [85]. It has been suggested that investment in a microgrid can result in manifold benefits, such as enhanced energy efficiency and integrated renewable power generation.…”

Section: Unaccounted Externalitiesmentioning

confidence: 99%

Renewable energy microgrids: Economic evaluation and decision making for government policies to contribute to affordable and clean energy

et al. 2020

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A novel similarity algorithm for triangular cloud models based on exponential closeness and cloud drop variance

Yang,

Han,

Wan

et al. 2024

Complex Intell. Syst.

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Cloud model similarity algorithm is an important part of cloud modelling theory. Most of the existing cloud model similarity algorithms suffer from poor discriminability, poor classification, unstable results, and low time efficiency. In this paper, a new similarity algorithm is proposed that considers the triangular cloud model distance and shape. First, according to the $${{D}}_{\text{T}}$$ D T distance formula, a new exponential closeness measure is defined, with which the distance similarity of cloud models is characterized. Then, the shape similarity is calculated according to the variance of the cloud model cloud drops. Finally, the two similarities are synthesized to define a similarity algorithm for determining the distance from the $${{D}}_{\text{T}}$$ D T distance formula and shape based on the triangular cloud model (DDTSTCM). In this paper, discriminability, stability, efficiency and theoretical interpretability are taken as the evaluation indices. Equipment security system capability evaluation experiment, cloud model differentiation simulation experiment and time series classification accuracy experiment are set up to verify the effectiveness of the algorithm in terms of the four above aspects. The experimental results show that DDTSTCM has good differentiation and excellent classification effects. In the classification experiment for the time series, the average classification accuracy of DDTSTCM reaches 91.78%, which is at least 2.78% higher than those of the other seven commonly used algorithms. The CPU running efficiency of DDTSTCM is also extremely high, and the average CPU running time of group training is always on the order of milliseconds, which effectively reduces the time cost. Finally, a case study is conducted to analyse a risk assessment problem for China’s island microgrid industry, and the evaluation results based on DDTSTCM are in line with human cognition and have good value for engineering applications. Graphical abstract

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Microgrid Economic Viability Assessment: An introduction to MG-REVALUE

Cited by 6 publications

References 0 publications

Overview of microgrid systems

Overview of microgrid systems

Renewable energy microgrids: Economic evaluation and decision making for government policies to contribute to affordable and clean energy

A novel similarity algorithm for triangular cloud models based on exponential closeness and cloud drop variance

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