Efficiency evaluation of the microgrid for selection of common bus using copula function-based efficiency curves of the converters

Tahir, Hira; Lee, Jae‐Suk; Kim, Rae-Young

doi:10.1016/j.seta.2021.101621

Cited by 6 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, reliability has received attention [8]. Tahir et al [9] conducted a microgrid evaluation from the aspect of efficiency. Karimi et al [10], meanwhile, studied the demand-side flexibility of grid-connected multi-microgrid systems.…”

Section: Influencing Factorsmentioning

confidence: 99%

A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment

Lü

Li²

2023

Sustainability

View full text Add to dashboard Cite

Developing hydrogen-based multi-microgrid systems (HBMMSs) is vital to the low-carbon energy transition, which can promote the utilization of renewable energy and reduce carbon emissions. However, there have been no studies presenting a sustainability evaluation of HBMSSs. Multi-attribute decision-making (MADM) methods are widely used to perform a sustainability evaluation. This paper develops a triangular intuitionistic fuzzy framework to make a comprehensive evaluation of HBMMSs from the perspective of sustainability. Firstly, a sustainability evaluation criteria system including economic, social, environmental, technical, and coordination criteria is established. Secondly, the paper proposes a hybrid fuzzy decision-making method. A triangular intuitionistic fuzzy decision-making trial and evaluation laboratory technique is used to analyze the correlation between criteria and sub-criteria and provides a basis for determining their fuzzy densities. A ranking method combining the triangular intuitionistic fuzzy number, fuzzy measure, and Choquet integral is used to rank the alternatives and choose an optimal one. Moreover, a case study is performed to validate the practicability of the developed framework. Finally, sensitivity analysis, scenario analysis, and comparative analysis are conducted to verify the robustness and effectiveness of the framework. As such, this study provides a guide for evaluating the sustainability of HBMMSs.

show abstract

Section: Influencing Factorsmentioning

confidence: 99%

A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment

Lü

Li²

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The battle of currents between AC and DC dates back in the 19th century when the pioneers of electricity battled over their medium of power, with Tesla supporting AC and Edison supporting DC [1][2][3]. The first battle concluded in favor of Tesla, and AC began its rule over DC as medium of power transfer [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Considering the efficiency of the traditional low-frequency transformer (LFT), it is initiated from 97% and varies up to 98.5% for liquid-immersed LFTs. However, it is evident from the present body of knowledge that SSTs have reached an efficiency of 98.25% in LV distribution networks [3]. SSTs have significant potential to replace the LFTs, as they provide other benefits such as smaller size and advanced control features.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Efficiency-Based Optimal Load Distribution for Modular SSTs with Biologically Inspired Optimization Algorithms

et al. 2022

View full text Add to dashboard Cite

The battle of currents between AC and DC reignited as a result of the development in the field of power electronics. The efficiency of DC distribution systems is highly dependent on the efficiency of distribution converter, which calls for optimized schemes for the efficiency enhancement of distribution converters. Modular solid-state transformers (SSTs) play a vital role in DC distribution networks and renewable energy systems (RES). This paper deals with efficiency-based load distribution for solid-state transformers (SSTs) in DC distribution networks. The aim is to achieve a set of minimum inputs that are consistent with the output while considering the constraints and efficiency. As the main feature of modularity is associated with a three-stage structure of SSTs, this modular structure is optimized using ant lion optimizer (ALO) and validated by applying it to the EIA (Energy Information Agency) DC distribution network which contains SSTs. In the DC distribution grid, modular SSTs provide the promising conversion of DC power from medium voltage to lower DC range (400V). The proposed algorithm is simulated in MATLAB and also compared with two other metaheuristic algorithms. The obtained results prove that the proposed method can significantly reduce the input requirements for producing the same output while satisfying the specified constraints.

show abstract

“…The battle of currents between AC and DC dates back in the 19 th century when the pioneers of electricity battled over their medium of power with Tesla supporting AC and Edison supporting DC [1][2][3]. The first battle concluded in favor of Tesla and AC began its rule over DC as medium of power transfer [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Considering the efficiency of the traditional low-frequency transformer (LFT) which is greater than 97% and varies up to 98.5% for liquid immersed LFTs. However, it is evident from the literature that SSTs have reached an efficiency of 98.25% in LV distribution networks [3]. SSTs have significant potential to replace the LFTs as they provide other benefits such as smaller size and advanced control features.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Efficiency Based Optimal Load Distribution for Modular Ssts With Biologically Inspired Optimization Algorithms

Mughees¹,

Sadaf²,

Gelani³

et al. 2022

Preprint

View full text Add to dashboard Cite

The battle of currents between AC and DC reignited as a result of the development in the field of power electronics. The efficiency of DC distribution systems is highly dependent on the efficiency of distribution converter, which calls for optimized schemes for efficiency enhancement of distribution converters. Modular solid-state transformers play a vital role in DC Distribution Networks and Renewable Energy systems (RES).This paper deals with efficiency-based load distribution for Solid State Transformers (SSTs) in DC distribution networks. Aim is to achieve a set of minimum inputs that are consistent with output while considering constraints and efficiency. As the main feature of modularity is associated with a three-stage structure of SSTs. This modular structure has been optimized using Ant Lion Optimizer (ALO) and validated by applying it EIA (Energy Information Agency) DC Distribution Network which contains SSTs. In the DC distribution grid, modular SSTs provide promising conversion of DC power from medium voltage to lower DC range (400V). The proposed algorithm is simulated in MATLAB and also compared with two other metaheuristic algorithms. The obtained results prove that the proposed method can significantly reduce input requirements for producing the same output while satisfying the specified constraints.

show abstract

Efficiency evaluation of the microgrid for selection of common bus using copula function-based efficiency curves of the converters

Cited by 6 publications

References 39 publications

A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment

A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment

Comparison of Efficiency-Based Optimal Load Distribution for Modular SSTs with Biologically Inspired Optimization Algorithms

Comparison of Efficiency Based Optimal Load Distribution for Modular Ssts With Biologically Inspired Optimization Algorithms

Contact Info

Product

Resources

About