Charging Management of Chemical Lithium Nickel Cobalt Aluminum Oxide (LiNiCoAlO2) Batteries, Considering Battery Degradation Effects under Uncertain Operation in Multi-energy Systems

Aghamohamadi, Maral; Abdar, Abbas

doi:10.1109/pedes49360.2020.9379578

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…The worst-case realization of the uncertainty of real-time electricity market prices was modeled in the second stage of an ARO in [1]. Finally, [94], [98] are the papers in this second category that use C&CG to deal with the uncertainties.…”

Section: ) Adaptive Robust Optimizationmentioning

confidence: 99%

Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches

et al. 2023

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Co-designing energy systems across multiple energy carriers is increasingly attracting attention of researchers and policy makers, since it is a prominent means of increasing the overall efficiency of the energy sector. Special attention is attributed to the so-called energy hubs, i.e., clusters of energy communities featuring electricity, gas, heat, hydrogen, and also water generation and consumption facilities. Managing an energy hub entails dealing with multiple sources of uncertainty, such as renewable generation, energy demands, wholesale market prices, etc. Such uncertainties call for sophisticated decision-making techniques, with mathematical optimization being the predominant family of decision-making methods proposed in the literature of recent years. In this paper, we summarize, review, and categorize research studies that have applied mathematical optimization approaches towards making operational and planning decisions for energy hubs. Relevant methods include robust optimization, information gap decision theory, stochastic programming, and chance-constrained optimization. The results of the review indicate the increasing adoption of robust and, more recently, hybrid methods to deal with the multi-dimensional uncertainties of energy hubs.

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Section: ) Adaptive Robust Optimizationmentioning

confidence: 99%

Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches

et al. 2023

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“…It is important to acknowledge that uncertainties related to variables like renewable energy generation, load, and energy prices can significantly impact the optimal operation of BESSs. In response to this challenge, the authors in [23] introduce an adaptive robust optimization approach. This approach aims to effectively address degradation in the management of BESS charging and discharging, even in the presence of uncertainties.…”

Section: Literature Reviewmentioning

confidence: 99%

“…2020 [22] Charging Management of Chemical Lithium Nickel Cobalt Aluminum Oxide (LiNiCoAlO 2 ) Batteries, Considering Battery Degradation Effects under Uncertain Operation in Multi-energy Systems. 2020 [23] A novel hybrid optimization framework for sizing renewable energy systems integrated with energy storage systems with solar photovoltaics, wind, battery and electrolyzer-fuel cell.…”

Section: Bmsmentioning

confidence: 99%

Battery Electric Storage Systems: Advances, Challenges, and Market Trends

Saldarini,

Longo,

Brenna

et al. 2023

Energies

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The increasing integration of renewable energy sources (RESs) and the growing demand for sustainable power solutions have necessitated the widespread deployment of energy storage systems. Among these systems, battery energy storage systems (BESSs) have emerged as a promising technology due to their flexibility, scalability, and cost-effectiveness. This paper aims to provide a comprehensive review of the diffusion and deployment of BESSs across various applications, analyzing their impact on grid stability, renewable energy integration, and the overall energy transition. The paper examines the key drivers and challenges associated with BESS adoption, as well as market trends influencing their proliferation. Through an analysis of empirical data, this study aims to shed light on the current state of BESS diffusion. Finally, this research contributes to the knowledge base surrounding battery storage technology and provides insights into its role in achieving a sustainable and reliable energy future.

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Charging Management of Chemical Lithium Nickel Cobalt Aluminum Oxide (LiNiCoAlO2) Batteries, Considering Battery Degradation Effects under Uncertain Operation in Multi-energy Systems

Cited by 2 publications

References 11 publications

Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches

Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches

Battery Electric Storage Systems: Advances, Challenges, and Market Trends

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