A storage degradation model of Li-ion batteries to integrate ageing effects in the optimal management and design of an isolated microgrid

Seger, Pedro V.H.; Rigo‐Mariani, Rémy; Thivel, Pierre-Xavier; Riu, Delphine

doi:10.1016/j.apenergy.2022.120584

Cited by 11 publications

(5 citation statements)

References 43 publications

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“…Battery aging paths are determined by nonlinear functions of the state of charge (SOC), depth of discharge (DOD), C-rate (defined as the charge or discharge current divided by the battery's capacity to store an electrical charge, with the unit h − 1), temperature, etc. Commonly, battery aging models adopted in microgrid assessment and control references are mainly simplified to be linearly related with DOD and cycle amounts [36]. In this paper, we have separately defined the lifetime and life cycles of the battery, representing the lifespan under standby conditions and its cycle lifespan, respectively.…”

Section: Resultsmentioning

confidence: 99%

Adaptive Design of Solar-Powered Energy Systems Based on Daily Clearness State Evolution

Liang,

Ma,

Wang

et al. 2024

Energies

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The optimal designing of the hybrid energy system (HES) is a challenging task due to the multiple objectives and various uncertainties. Especially for HES, primarily powered by solar energy, the reference solar radiation data directly impact the result of the optimization design. To incorporate the stochastic characteristics of solar radiation into the sizing process, a data-driven stochastic modeling method for solar radiation is proposed. The method involves two layers of stochastic processes that capture the intraday variation and daily evolution of solar radiation. First, the clearness index (CI) is introduced to describe the radiation intensity at different times. Then, the daily clearness state (DCS) is proposed, based on the statistical indicators of the intraday CI. The Markov model is used to describe the stochastic evolutionary characteristics between different DCSs. The probabilistic distribution of the CI under different DCS is obtained based on the diffusion kernel density estimation (DKDE), which is used for the stochastic generation of the CI at various times of the day. Finally, the radiation profile required for the optimal design is obtained by the stochastic generation of the DCS sequences and the intraday clearness index under corresponding states. A case study of an off-grid solar-powered HES is provided to illustrate this methodology.

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Section: Resultsmentioning

confidence: 99%

Adaptive Design of Solar-Powered Energy Systems Based on Daily Clearness State Evolution

Liang,

Ma,

Wang

et al. 2024

Energies

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“…Lithium‐ion batteries are mainly facilitating the integration of renewable energies in stationary applications. Segar et al 103 presented a framework for energy management problems and the integration of lithium‐ion battery aging in the microgrid design. At first, a reference model was simplified for the cyclic degradation of batteries.…”

Section: Impacts and Solutions For Degradation Modelsmentioning

confidence: 99%

Supply energy management methods for a direct current microgrid: A comprehensive review

Varshnry,

Lather,

Dahiya

2024

Energy Storage

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The revolution of microgrids (MGs) in the modern world has impacted the power systems to deal with the loads with optimal use of renewable energy resources (RERs). In the models consisting of energy management systems (EMS) and generation sources, there will be power fluctuations between the source and the load under certain conditions due to the unpredictable behavior of RERs. Therefore, a reliable scheme has to be implemented between the source and the load to ensure optimal performance of direct current (DC)‐MGs. This article has presented a review of the EMS models introduced by various researchers to enable optimal power supply and efficient operation of the DC‐MGs. A thorough illustration of the schemes adopted to provide efficient operations under grid‐connected and islanded mode of operations are provided. The effects and advantages of centralized and decentralized EMSs are discussed. The role of a battery energy storage system (BESS) in microgrid scheduling is presented and compared with a few other energy storage systems. The scheduling strategies implemented for optimal EMS using different algorithms and techniques are elaborated. In addition, the effects of battery degradation and the formulated solutions to improve the degraded models with improved battery life are also provided with cycle life and calendar life. Then, the lithium ion and lead acid BESS effect on microgrid EMS is presented. Finally, the energy management methods for DC‐MGs end with challenges, research gaps, and future direction.

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“…Especially, at the first order, aging is characterized by a loss of storage capacity over time that is dependent on the energy exchanged along the simulated horizon (i.e. the integration of charging/discharging power over time) [37]. Deriving from simple linear models, this subsection then introduces a degradation metric in terms of the 'number of equivalent cycles'i.e.…”

Section: Trade-off Between System Performances and Battery Usagementioning

confidence: 99%

Smart home energy management with mitigation of power profile uncertainties and model errors

Rigo‐Mariani

Ahmed²

2023

Energy and Buildings

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A storage degradation model of Li-ion batteries to integrate ageing effects in the optimal management and design of an isolated microgrid

Cited by 11 publications

References 43 publications

Adaptive Design of Solar-Powered Energy Systems Based on Daily Clearness State Evolution

Adaptive Design of Solar-Powered Energy Systems Based on Daily Clearness State Evolution

Supply energy management methods for a direct current microgrid: A comprehensive review

Smart home energy management with mitigation of power profile uncertainties and model errors

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