Life prediction of batteries for selecting the technically most suitable and cost effective battery

Wenzl, Heinz; Baring-Gould, Ian; Kaiser, Rudi; Liaw, Bor Yann; Lundsager, P.; Manwell, James F.; Ruddell, A.; Svoboda, V.

doi:10.1016/j.jpowsour.2004.11.045

Cited by 162 publications

(81 citation statements)

References 7 publications

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“…During night and early morning (when the PV power is zero), the difference between the converter and battery powers represents the losses of the converter. According to Figure 10b, the diesel generator operates when there is a shortage in the renewable powers (hours 1, 3, and [18][19][20][21][22][23]. Using the battery is preferred to the diesel generator during hours 7-9, 15, and 17, when the battery is more economical than the generator.…”

Section: Configurationmentioning

confidence: 99%

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Ghazvini¹,

Abbaspour-Tehrani-fard²,

Fotuhi‐Firuzabad³

2015

Turk J Elec Eng & Comp Sci

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Abstract:As a cost-effective and reliable alternative to supply remote areas, standalone hybrid energy systems (HESs) are recently under investigation to address various concerns associated with technical, financial, and environmental issues. This paper presents a comprehensive algorithm that can simultaneously optimize the component size, operation strategy, and slope of the photovoltaic panels of a standalone HES using an improved variant of particle swarm optimization (PSO), designated as the passive congregation PSO. A new operation strategy is proposed based on the set points of the control system. The optimization algorithm determines the optimal values of the set points to efficiently optimize the HES operation. The applicability and effectiveness of the proposed method are investigated through some numerical analyses performed on a practical remote area in Iran. In doing so, the proposed method is applied to various HES configurations and the results are compared with those obtained using the existing methods. Several load growth and wind speed scenarios are considered, and their impacts on the optimization results are examined.

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Section: Configurationmentioning

confidence: 99%

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Ghazvini¹,

Abbaspour-Tehrani-fard²,

Fotuhi‐Firuzabad³

2015

Turk J Elec Eng & Comp Sci

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“…Indeed, the operating condition of BES in renewable energy system is characterized by (i) partial state of charge (SoC), (ii) incomplete or rare full of charge, and (iii) wide range of ambient temperature [17]. In [18] and [19], six important stress factors are defined which link the operating condition to the lifetime of battery bank, such as charge factor, Ah-throughput, time between full charge, time at low SoC, and temperature. It is worth noting that these stress factors can physically increase the rate of one aging process and reduce the rate of another.…”

Section: Operating Condition Stress Factor and Lifetime Modelmentioning

confidence: 99%

A New Battery Approach to Wind Generation System in Frequency Control Market

Nguyen

Yoon³

2013

Journal of Electrical Engineering and Technology

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-Wind power producers face many regulation costs in deregulated environment, which remarkably lowers the value of wind power in comparison with conventional sources. One of these costs is associated with the real-time variation of power output and being paid in frequency control market according to the variation band. This paper presents a new approach to coordination of battery energy storage in wind generation system for reducing the payment in frequency control market. The approach depends on the statistic data of wind generation and the prediction of frequency control market price to determine the optimal variation band which is then kept by the real-time charging and discharging of batteries, ultimately the minimum cost of frequency regulation can be obtained. The optimization problem is formulated as trade-off between the decrease in the regulation payment and the increase in the cost of using battery, and vice versus. The approach is applied to a study case and the results of simulation show its effectiveness.

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“…In order to evaluate the battery lifetime, three different approaches are presented in [16][17][18]. The first approach, called performance-based model, is based on the simulation of each aging process as a function of operating conditions and the change of performance values of the battery while the various aging processes take place.…”

Section: Battery Wear Cost and Lifetime Modelmentioning

confidence: 99%

A New Battery Energy Storage Charging/Discharging Scheme for Wind Power Producers in Real-Time Markets

Nguyen

Yoon

2012

Energies

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Under a deregulated environment, wind power producers are subject to many regulation costs due to the intermittence of natural resources and the accuracy limits of existing prediction tools. This paper addresses the operation (charging/discharging) problem of battery energy storage installed in a wind generation system in order to improve the value of wind power in the real-time market. Depending on the prediction of market prices and the probabilistic information of wind generation, wind power producers can schedule the battery energy storage for the next day in order to maximize the profit. In addition, by taking into account the expenses of using batteries, the proposed charging/discharging scheme is able to avoid the detrimental operation of battery energy storage which can lead to a significant reduction of battery lifetime, i.e., uneconomical operation. The problem is formulated in a dynamic programming framework and solved by a dynamic programming backward algorithm. The proposed scheme is then applied to the study cases, and the results of simulation show its effectiveness.

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Life prediction of batteries for selecting the technically most suitable and cost effective battery

Cited by 162 publications

References 7 publications

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

A New Battery Approach to Wind Generation System in Frequency Control Market

A New Battery Energy Storage Charging/Discharging Scheme for Wind Power Producers in Real-Time Markets

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