Stochastic, resilience-oriented optimal sizing of off-grid microgrids considering EV-charging demand response: An efficiency comparison of state-of-the-art metaheuristics

Mohseni, Soheil; Khalid, Roomana; Brent, Alan C.

doi:10.1016/j.apenergy.2023.121007

Cited by 25 publications

(4 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Key findings include the importance of effective design and control strategies; the integration of renewable energy sources and energy storage systems; advanced control techniques and optimization algorithms; and the application of cutting-edge trends like artificial intelligence, data analysis, and blockchain. A novel MG sizing method is developed in [118] to incorporate metaheuristics into a particle swarm op-timization algorithm. The authors considered optimal demand response capacity from EVcharging loads, ensuring reliable electrical load supply in areas far from the grid.…”

Section: Role Of Electrical Vehicles In Storage Systemsmentioning

confidence: 99%

A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques

Khan,

Haider,

Malik

et al. 2024

Processes

View full text Add to dashboard Cite

The relentlessly depleting fossil-fuel-based energy resources worldwide have forbidden an imminent energy crisis that could severely impact the general population. This dire situation calls for the immediate exploitation of renewable energy resources to redress the balance between power consumption and generation. This manuscript confers about energy management tactics to optimize the methods of power production and consumption. Furthermore, this paper also discusses the solutions to enhance the reliability of the electrical power system. In order to elucidate the enhanced reliability of the electrical system, microgrids consisting of different energy resources, load types, and optimization techniques are comprehensively analyzed to explore the significance of energy management systems (EMSs) and demand response strategies. Subsequently, this paper discusses the role of EMS for the proper consumption of electrical power considering the advent of electric vehicles (EVs) in the energy market. The main reason to integrate EVs is the growing hazards of climate change due to carbon emissions. Moreover, this paper sheds light on the growing importance of artificial intelligence (AI) in the technological realm and its incorporation into electrical systems with the notion of strengthening existing smart grid technologies and to handle the uncertainties in load management. This paper also delineates the different methodologies to effectively mitigate the probability of facing cyber-attacks and to make the smart grids invulnerable.

show abstract

Section: Role Of Electrical Vehicles In Storage Systemsmentioning

confidence: 99%

A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques

Khan,

Haider,

Malik

et al. 2024

Processes

View full text Add to dashboard Cite

show abstract

“…Stochastic optimization further augments the realm of single-microgrid operations, as evident in Mohseni et al. 129 This technique harmoniously integrates diverse network constraints with spinning reserve necessities, offering a deterministic paradigm to the otherwise uncertain nature of microgrid operations. Furthermore, the above research probes into the interplay between demand response initiatives and distributed energy resources (DERs) scheduling amidst stochastic loads.…”

Section: Enhancing Resilience In Multi-microgridsmentioning

confidence: 99%

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Kumar,

Singh,

Raghav

et al. 2024

iScience

View full text Add to dashboard Cite

“…However, the selection of a suitable approach it is based on depends on the user's judgment and performing a high number of iterations to attain accurate results increases the complexity and computational time compared to conventional approaches. Various recent articles applied these approaches for estimating the DSF [103][104][105][106][107].…”

Section: Modified Approachesmentioning

confidence: 99%

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

Recently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of distributed energy resource‐rich systems can cause various power quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial to establish energy balance between generation and demand to improve power system's reliability and stability and to minimize energy costs without sacrificing customers’ comfort or utility. In this regard, power system flexibility concept is highlighted as a robust and cost‐effective energy management system, especially on the demand side, to provide consumers’ demands with an acceptable level of power quality. Accordingly, here, a comprehensive review of recent developments in the power system flexibility and demand‐side management strategies and demand response programs are provided to include mainly classifications, estimation methods, distributed energy resource modelling approaches, infrastructure requirements, and applications. In addition, current research topics for applying power system flexibility solutions and demand‐side management strategies based on modern power system operation are deliberated. Also, prominent challenges, research trends, and future perspectives are discussed. Finally, this review article aims to be an appropriate reference for comprehensive research trends in the power system flexibility concept in general and in demand‐side management strategies and demand response programs, specifically.

show abstract

Stochastic, resilience-oriented optimal sizing of off-grid microgrids considering EV-charging demand response: An efficiency comparison of state-of-the-art metaheuristics

Cited by 25 publications

References 75 publications

A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques

A Comprehensive Review of Microgrid Energy Management Strategies Considering Electric Vehicles, Energy Storage Systems, and AI Techniques

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Contact Info

Product

Resources

About