A Bi-Level Framework for Optimal Energy Management of Electrical Energy Storage Units in Power Systems

Nazari-Heris, Morteza; Mohammadi‐Ivatloo, Behnam; Anvari‐Moghaddam, Amjad; Razzaghi, Reza

doi:10.1109/access.2020.3038841

Cited by 6 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optimal energy management of electrical energy storage systems (ESSs) through a bi-level framework depends upon two factors, i.e., min-imizing the cost and maximizing the profit and the charge/discharge scheduling of ESSs. The model provides the optimal operation strategies for both the ESS and the power system [57].…”

Section: Microgrid Energy Storage Systemmentioning

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: Microgrid Energy Storage Systemmentioning

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

“…The results show how the degradation cost applied to the current price levels of the energy, produced by the wind farms, makes the use of secondlife batteries completely worthwhile. Nazari-Heris et al in [159], instead, account the degradation cost in a new model for the management of EESS within a distributed grid and investigate the relationship between the system operator and the owner of EESS and try to find an optimal operating point solving a bi-level optimization process. The system operator and the ESS owner are two distinct actors with their own objective functions to be optimized, the problem is therefore solved through a bi-level programming algorithm.…”

Section: Energy Storage Systemsmentioning

confidence: 99%

Progresses in Analytical Design of Distribution Grids and Energy Storage

et al. 2021

View full text Add to dashboard Cite

In the last years, a change in the power generation paradigm has been promoted by the increasing use of renewable energy sources combined with the need to reduce CO2 emissions. Small and distributed power generators are preferred to the classical centralized and sizeable ones. Accordingly, this fact led to a new way to think and design distributions grids. One of the challenges is to handle bidirectional power flow at the distribution substations transformer from and to the national transportation grid. The aim of this paper is to review and analyze the different mathematical methods to design the architecture of a distribution grid and the state of the art of the technologies used to produce and eventually store or convert, in different energy carriers, electricity produced by renewable energy sources, coping with the aleatory of these sources.

show abstract

“…Hou et al [3] propose to construct a multisource energy storage system in a microgrid and search for its optimal power allocation, to maximize the revenue of the energy storage system. Nazari-Heris, M., et al [4] propose a bi-level structure for energy management of energy storage units in power systems, which allows decision-makers to select energy sources from different types of energy storage units to participate in power system dispatching and maximize returns. All the literature mentioned aboveproposed energy economic dispatch based on energy storage systems, but none of them considered the changes in energy dispatch caused by load participation in demand response.…”

Section: Introductionmentioning

confidence: 99%

A hybrid energy storage power system dispatch strategy for demand response

Chen

Guo²,

Chen³

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

In recent years, with the deepening global energy crisis and greenhouse effect, the trend of the power industry towards low-carbon and clean development has gradually increased. This is manifested in the power supply side and the load side, i.e., the power imbalance brought about by the uncertainty and volatility of both. Therefore, based on the above background, this paper first proposes a new power system consisting of renewable energy, hybrid electric-hydrogen energy storage, and fuel cells. Secondly, this paper proposes a commercial load dispatching strategy with a time-of-use tariff, which is solved by complex optimization to verify its economic advantages and feasibility.

show abstract

A Bi-Level Framework for Optimal Energy Management of Electrical Energy Storage Units in Power Systems

Cited by 6 publications

References 35 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

Progresses in Analytical Design of Distribution Grids and Energy Storage

A hybrid energy storage power system dispatch strategy for demand response

Contact Info

Product

Resources

About