Analysis and comparison of battery energy storage technologies for grid applications

Saez-de-Ibarra, Andoni; Milo, Aitor; Gaztañaga, Haizea; Etxeberria-Otadui, I.; Rodriguez, P.; Bacha, Seddik; Debusschere, Vincent

doi:10.1109/ptc.2013.6652509

Cited by 25 publications

(32 citation statements)

References 13 publications

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“…Section 3.2.1). In fact, use cases and grid integration of non-LIB storage technologies (e.g., redox flow batteries, compressed air energy storage) are described in various other contributions [6,[121][122][123]. …”

Section: Grid-applications For Bessmentioning

confidence: 99%

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

et al. 2017

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Battery energy storage systems have gained increasing interest for serving grid support in various application tasks. In particular, systems based on lithium-ion batteries have evolved rapidly with a wide range of cell technologies and system architectures available on the market. On the application side, different tasks for storage deployment demand distinct properties of the storage system. This review aims to serve as a guideline for best choice of battery technology, system design and operation for lithium-ion based storage systems to match a specific system application. Starting with an overview to lithium-ion battery technologies and their characteristics with respect to performance and aging, the storage system design is analyzed in detail based on an evaluation of real-world projects. Typical storage system applications are grouped and classified with respect to the challenges posed to the battery system. Publicly available modeling tools for technical and economic analysis are presented. A brief analysis of optimization approaches aims to point out challenges and potential solution techniques for system sizing, positioning and dispatch operation. For all areas reviewed herein, expected improvements and possible future developments are highlighted. In order to extract the full potential of stationary battery storage systems and to enable increased profitability of systems, future research should aim to a holistic system level approach combining not only performance tuning on a battery cell level and careful analysis of the application requirements, but also consider a proper selection of storage sub-components as well as an optimized system operation strategy.

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Section: Grid-applications For Bessmentioning

confidence: 99%

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

et al. 2017

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“…For example, during a sudden passage of dark clouds, ESS can support PV crops to restore voltage dip, resulting in a smooth output of [48,49]. Other ESS applications include improving power quality [50,51], emergency operating reserves [52,53], decreasing the likelihood of power blackouts [54], supply and demand matching [55], load shifting [56], transmission and distribution deferral upgrade [57], grid black start [58], energy arbitration [59], voltage support [60], frequency balancing [61,62] and conventional generation reduction during peak hours [63]. In addition, as shown in this paper, one of the most significant applications is to reduce operation and maintenance costs.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

2019

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In this paper, based on stochastic optimization methods, a technique for optimal sizing of battery energy storage systems (BESSs) under wind uncertainties is provided. Due to considerably greater penetration of renewable energy sources, BESSs are becoming vital elements in microgrids. Integrating renewable energy sources in a power system together with a BESS enhances the efficiency of the power system by enhancing its accessibility and decreasing its operating and maintenance costs. Furthermore, the microgrid-connected BESS should be optimally sized to provide the required energy and minimize total investment and operation expenses. A constrained optimization problem is solved using an optimization technique to optimize a storage system. This problem of optimization may be deterministic or probabilistic. In case of optimizing the size of a BESS connected to a system containing renewable energy sources, solving a probabilistic optimization problem is more effective because it is not possible to accurately determine the forecast of their output power. In this paper, using the stochastic programming technique to discover the optimum size of a BESS to connect to a grid-connected microgrid comprising wind power generation, a probabilistic optimization problem is solved. A comparison is then produced to demonstrate that solving the problem using stochastic programming provides better outcomes and to demonstrate that the reliability of the microgrid improves after it is connected to a storage system. The simulation findings demonstrate the efficacy of the optimum sizing methodology proposed.

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“…There is a growing interest in the role of ESSs integrated into the electricity grid due to a number of different drivers, such as improvements in power electronics and storage technologies, more stringent operational requirements of the electricity grid (e.g., in terms of power quality), deregulation of the electricity market, continuous load growth leading to higher regional power transfers, variability in load profiles and most importantly the rapid growth of distributed RESs [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Aggregated applications and benefits of energy storage systems with application-specific control methods: A review

Katsanevakis

Stewart

2017

Renewable and Sustainable Energy Reviews

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Distributed energy storage systems (ESSs) are becoming essential components for the operation of the increasingly complex electricity grid, where dispersed generation is causing powerflows occurring both top-down and bottom-up. Specifically, the combination of ESSs coupled with application-specific control methods can achieve the interdependent objectives of system stakeholders such as the system operator, electrical utilities, retailers, equipment vendors, the government and the electricity customers. The necessity for an accelerated rate of transition to a multi-directional grid arrangement has been exacerbated by the rapid proliferation of distributed renewable energy sources (RESs) that are now price comparable to traditional supply sources. While there are review articles covering ESS technologies and applications as well as the plethora of future advanced grid arrangements that may eventuate, there is none which comprehensively covers individual and aggregated ESS applications and the corresponding benefits, comparing different technology selection methods and providing application-specific controls. Both operational and monetary benefits are identified and critically reviewed from the perspective of the aforementioned stakeholders. Wholesale and retail energy market regimes are also considered for monetisation of the benefits. The control methods that are provided cover both balanced and unbalanced grid conditions. This comprehensive review paper will be of immense value to researchers and practitioners seeking to understand and unpack the aggregated benefits of ESS in the electricity grid.

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Analysis and comparison of battery energy storage technologies for grid applications

Cited by 25 publications

References 13 publications

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

Optimal Sizing of Battery Energy Storage for a Grid-Connected Microgrid Subjected to Wind Uncertainties

Aggregated applications and benefits of energy storage systems with application-specific control methods: A review

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