Robust optimal operation of energy hub incorporating integrated thermal and electrical demand response programs under various electric vehicle charging modes

Aslani, Mehrdad; Mashayekhi, Mehdi; Hashemi‐Dezaki, Hamed; Ketabi, Abbas

doi:10.1016/j.apenergy.2022.119344

Cited by 13 publications

(9 citation statements)

References 82 publications

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“…The goal was to measure the influence of DR and ESS on each EH's operating cost and emission for a risk-averse strategy. A comprehensive model of REH based on robust optimization is presented in [40], Where IDR for electrical and thermal loads in the presence of RE and EV is investigated. The results show the significant impacts of DR and EV charging modes on REH operating costs.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, the [43] considers EH and EVPL as an IES but does not consider the cooling loads and the thermodynamic model of thermal loads. In [40], the comprehensive modeling of EH with several devices is taken into account; still, the thermodynamic modeling of the building and the flexible cooling loads are not investigated. The CCHP in an industrial EH is investigated [44] in terms of economic and environmental goals, still the lack of uncertainty modeling and impact of EVPL is not studied.…”

Section: Literature Reviewmentioning

confidence: 99%

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Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads

et al. 2023

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads

et al. 2023

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“…As a result, there has been a growing deployment of renewable energies to address the challenges posed by the increase in energy demand and global warming concerns 4 . Additionally, new concepts and frameworks, such as multicarrier microgrids (MCMGs) and energy hubs, have been introduced to optimize solutions 5 . In conventional microgrids (MGs), only electricity and electrical loads are typically considered.…”

Section: Introductionmentioning

confidence: 99%

Optimal technoeconomic reliability‐oriented design of islanded multicarrier microgrids with electrical and hydrogen energy storage systems considering emission concerns

Imanloozadeh,

Nazififard,

Hashemi‐Dezaki

2024

Energy Science & Engineering

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Although several studies have been performed on energy systems, there is a gap in examining the impact of energy storage systems (ESSs) technologies on the technoeconomic design of optimal multicarrier microgrids (MCMGs), considering environmental concerns. This paper aims to address this research gap by developing an optimal technoeconomic reliability‐oriented design of MCMGs, specifically focusing on battery storage systems (BSSs) and hydrogen storage systems (HSSs). The study was applied to MCMG at an actual MCMG, using HOMER Pro software. Additionally, a reliability‐oriented sensitivity analysis is conducted to understand the effects of reliability constraints, such as desired maximum capacity shortage, on the performance of various ESS technologies. One of the main contributions is analyzing the HSS and BSS from different viewpoints, such as cost, emission, and other technical–economic features for MCMGs. The comparative test results show that if a highly reliable MCMG is desired, the BSS‐based MCMG is the more practical option in terms of technoeconomic indices. However, regardless of reliability constraints, the HSS‐based MCMGs offer better environmental conditions. The total net present cost of the HSS‐based MCMG is 1.68% higher than the BSS‐based one, while it has 17.99% less CO2 emissions, while the HSS one has 17.99% less CO2 emissions.

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“…The operation of EHs or energy networks has extensively been discussed in the literature. For instance, the authors in [6] considered the uncertain nature of renewable sources and the time-varying price of electrical energy by adopting a robust optimization technique. They also utilized Monte Carlo simulation to discriminate the coordinated/uncoordinated charging status of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Decision-Based Energy Management of Energy Grids with Hubs considering Participation of Hubs and Networks in the Energy Markets

Kohansal

Zadehbagheri

Kiani

et al. 2023

International Journal of Energy Research

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With the creation of competitive environments, such as electricity market, it is expected that energy networks and active consumers such as energy hubs participate in the market to promote their economic situation. So, the article proposes the optimal involvement of energy networks and hubs in energy markets in two wholesale and retail designs based on the energy management system at the same time. The proposed scheme is expressed as two-objective optimization. The first objective is to minimize the cost of different types of energy in electricity-gas-thermal networks. In another objective function, the cost of energy (which is the difference between the energy purchase cost and energy sale income) of energy hubs in the retail market is minimized. The scheme is bound to optimal power flow equations of the mentioned networks and operating model of power sources and active loads. Then, the Pareto optimization mixed with the sum of weighted functions helps extract an optimal compromise solution on the basis of fuzzy decision-making. Finally, the scheme is applied to a test system, and the obtained numerical results confirm that energy hubs are improved financially, and economic and operation conditions of the electricity-gas-thermal networks are enhanced simultaneously. So, significant profit can be achieved for EHs in the retail energy market. The economic situation of the networks enhances up to roughly 10% compared with that of power flow studies. Also, operating situation of the networks enhances by about 12% to 53% compared with a case without EHs.

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Robust optimal operation of energy hub incorporating integrated thermal and electrical demand response programs under various electric vehicle charging modes

Cited by 13 publications

References 82 publications

Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads

Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads

Optimal technoeconomic reliability‐oriented design of islanded multicarrier microgrids with electrical and hydrogen energy storage systems considering emission concerns

Fuzzy Decision-Based Energy Management of Energy Grids with Hubs considering Participation of Hubs and Networks in the Energy Markets

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