Levelized Cost of Energy Calculations for Microgrid-Integrated Solar-Storage Technology

Hosseini, Zohreh S.; Khodaei, Amin; Bahramirad, Shay; Zhang, Liuxi; Paaso, Aleksi; Lelic, Muhidin; Flinn, D.G.

doi:10.1109/td39804.2020.9300022

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…In this context, it would be appropriate to focus on research and development studies for these projects for sustainable development. Hosseini et al [48] and Zayed et al [49] also identified that with the help of the recent technological improvements, solar energy is an optimal choice to manage levelized energy costs more appropriately.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Yüksel

Dınçer

et al. 2022

IEEE Access

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Energy costs are the key factors regarding the selection of appropriate renewable energy (RWG) alternatives. All costs of a power plant, such as investment, operation, maintenance, and repair are considered in the scope of levelized costs. Therefore, for the effective determination of the selling price of the energy, levelized cost has a guiding role. Because the levelized costs of RWG alternatives develop the sustainable production and energy consumption for the long term, the leading indicators of these costs should be analyzed significantly. Accordingly, in this study, it is aimed to investigate the levelized cost of RWG alternatives by using bipolar q-rung orthopair fuzzy (q-ROF) hybrid decision-making approach. The novelty of this study is to recommend an integrated decision-making model based on bipolar and q-ROFSs with golden cut. At the first stage, bipolar q-ROF multi stepwise weight assessment ratio analysis (M-SWARA) is employed for weighting the selected criteria of levelized costs of RWG alternatives. At the following stage, bipolar q-ROF technique for order preference by similarity to ideal solution (TOPSIS) is considered to rank the alternatives in terms of the levelized cost performance. On the other side, vise kriterijumska optimizacija i kompromisno resenje (VIKOR) model is also considered to rank the alternatives. In addition to this issue, the sensitivity analysis is also performed with four cases comparatively. Hence, consistency, reliability and coherency of the proposed model can be measured. It is identified that capacity loss has the greatest importance regarding the levelized cost of RWG projects. Solar is found as the best clean energy type with respect to the levelized cost management performance. In this context, it would be appropriate for investors to design projects close to the center. This will contribute to increasing the efficiency and productivity of these projects.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Yüksel

Dınçer

et al. 2022

IEEE Access

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Multi‐objective optimisation framework for standalone DC‐microgrids with direct load control in demand‐side management

Jayasinghe,

Gunawardane,

Zamora

2024

Electronics Letters

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Renewable energy‐powered DC microgrids have emerged as a sustainable alternative for standalone power systems in remote locations, which were traditionally reliant on diesel generators (DIG) only. To ensure power quality and reliability, energy storage systems (ESS) and demand‐side management (DSM) techniques are employed, addressing the intermittent nature of renewable energy sources (RES). This manuscript presents a novel multi‐objective optimisation framework to determine the equipment sizing, depth of discharge (DoD) of ESS, and share of controllable loads contributing to DSM in a standalone DC microgrid incorporated with RES as a primary energy source and a backup DIG. The proposed optimisation strategy utilises genetic algorithm with the objectives of minimizing lifecycle cost and carbon footprint. A novel battery energy storage system (BESS) management criterion is introduced, which accounts for battery degradation in the lifecycle cost calculation. The minimum allowable DoD of the BESS is considered a decision variable in the optimisation problem to assess the impact of higher DoD on lifecycle cost improvement. MATLAB simulation results demonstrate that the proposed optimisation model significantly reduces the levelized cost of electricity and per unit carbon footprint compared to previous models. Additionally, it identifies an optimal range of DoD for the BESS to enhance the lifecycle cost of a standalone DC microgrid.

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An adaptive power point tracker in wind photovoltaic system using an optimized deep learning framework

Baseer

Almunif

Alsaduni

et al. 2022

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Levelized Cost of Energy Calculations for Microgrid-Integrated Solar-Storage Technology

Cited by 5 publications

References 18 publications

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Multi‐objective optimisation framework for standalone DC‐microgrids with direct load control in demand‐side management

An adaptive power point tracker in wind photovoltaic system using an optimized deep learning framework

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