Energy Storage Systems in Solar-Wind Hybrid Renewable Systems

Awasthi, Abhishek; Karthikeyan, V.; Das, Vipin; Rajasekar, S.; Singh, Asheesh Kumar

doi:10.1007/978-3-319-50197-0_7

Cited by 11 publications

(11 citation statements)

References 41 publications

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“…When the μ grid is working as a standalone system, the main roles of an ESS are ensuring a continuous energy supply as well as stabling the DC bus voltage. When connected to the grid, the ESS (especially the battery) works in coordination with the other elements of the μ grid to meet its objectives as well be defined in Section 5.1. e authors in [46] give a comprehensive overview of different ESSs and their roles when integrated in μ grids.…”

Section: Energy Storage System (Ess)mentioning

confidence: 99%

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Essayeh

Fenni

Dahmouni

et al. 2021

Journal of Electrical and Computer Engineering

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Having neither precise definition nor a commonly accepted scope, the term “MicroGrid” tends to be used differently across researchers and practitioners alike. The management of energy usage within a microgrid is one of the topics that was handled from numerous perspectives. This study presents systematic literature review (SLR) of research on architectures and energy management techniques for microgrids, providing an aggregated up-to-date catalogue of solutions suggested by the scientific community. The SLR incorporated 45 papers selected according to inclusion/exclusion criteria and defined a priori. The selection process was based on an automated search and covered three known digital libraries. The extraction process covers three main questions. (i) The architectures of microgrids including their components, their bus configuration, and the adopted utility grid policy. (ii) The employed methods to ensure an optimal usage of energy under uncertainty. (iii) The confronted challenges and constraints of the suggested strategies. The findings of this SLR indicate a great diversity of methods and a rich background. Finally, the SLR suggests that future research should take into account the uncertainty aspect relating to energy management rather than the direct use of historical data as it is commonly done in most research papers. A sensitivity analysis should be provided in the latter case.

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Section: Energy Storage System (Ess)mentioning

confidence: 99%

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Essayeh

Fenni

Dahmouni

et al. 2021

Journal of Electrical and Computer Engineering

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“…[1][2][3][4] Among different energy storage systems, battery energy storage systems (BESSs) have received greater attention at present due to their high reliability, possibility of implementing in medium scale-units, dynamic local voltage support, low environmental impact and many other factors. 5 But the implementation and operation of BESS are surrounded by several challenges, such as unbalanced loading and single-phase distributed-generating units, short term loading by EV (electric vehicles) charges, load dynamics due to intermittency of renewable power sources, inherent thermal build up in BESS, possibility of wide range fluctuation of battery state of charge (SOC) level, variation of battery performance with battery temperature, and so forth. 6 Therefore, in order to investigate the influence of all such issues on BESS, an accurate model is required for the battery itself and the microgrid as a whole.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive electro‐thermal battery‐model for Li‐ion batteries in microgrid applications

2021

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Battery energy storage systems (BESSs) are frequently used to buffer the difference between intermittent renewable generations and energy demand in microgrids. The operation of BESS is affected by dynamics of charging/discharging current, internal temperature build up, extreme reaches of state of charge level, and so forth. This article presents a comprehensive electrothermal model for Li-ion batteries that can be used to investigate dynamic and static performances of a microgrid under real time operating conditions. The battery-model has the ability to self-update its parameters with the variation of core-temperature, and also to accommodate inherent hysteresis present on

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“…Moreover, fluctuations associated with both the plug-in electric vehicles consumption profiles, and the electricity price, bring new challenges to the power engineers aiming to achieve demandsupply balance 7 . In the meantime, rapid fluctuations should be minimized, as may lead to load imbalance, instability, and damages to the system components 8 . Utilities have to address these issues by ensuring that the generation fleet is able to meet seamlessly the load requirements at all times 9 .…”

Section: Introductionmentioning

confidence: 99%

“…7 In the meantime, rapid fluctuations should be minimized, as may lead to load imbalance, instability, and damages to the system components. 8 Utilities have to address these issues by ensuring that the generation fleet is able to meet seamlessly the load requirements at all times. 9 Traditionally, utilities meet these challenges through the formation and solution of a scheduling problem known as economic dispatch (ED).…”

Section: Introductionmentioning

confidence: 99%

Energy management and techno‐economic assessment of a predictive battery storage system applying a load levelling operational strategy in island systems

et al. 2020

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In the present study, a predictive battery energy storage system (BESS) for application in geographical non-interconnected islands with high renewable energy penetration is proposed, capable of performing load levelling. The system under consideration is composed of diesel and heavy oil generators, a photovoltaic farm and a small wind turbine. The proposed solution integrates machine learning (ML) methods for the forecasting of load and intermittent solar and wind power productions, alongside a custom scheduling algorithm, which calculates the necessary BESS setpoints that accomplish the desired levelling effect. An important feature of the scheduling algorithm is that the charge and discharge energy amounts of each day are by design equal and independent of the forecasts' accuracy. This aspect enables economic investigations to identify the appropriate BESS capacity for the particular system, taking also into account the battery's capacity degradation. The overall system is modelled and simulated utilizing the open-source languages Python and Modelica. Simulations presented a 9.8% peak-to-mean ratio (PMR) reduction of the thermal plant's load. Furthermore, economic investigations estimated a marginal BESS cost of 287.1 €/kWh revealing the financial viability of the proposed integrated system, in at least the case of geographical islands.

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Energy Storage Systems in Solar-Wind Hybrid Renewable Systems

Cited by 11 publications

References 41 publications

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Comprehensive electro‐thermal battery‐model for Li‐ion batteries in microgrid applications

Energy management and techno‐economic assessment of a predictive battery storage system applying a load levelling operational strategy in island systems

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