A study on optimum capacity of battery energy storage system for wind farm operation with wind power forecast data

Ogimi, Kazuki; Yoza, Akihiro; Yona, Atsushi; Senjyu, Tomonobu; Funabashi, Toshihisa

doi:10.1109/ichqp.2012.6381230

Cited by 21 publications

(8 citation statements)

References 16 publications

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“…For ESS sizing algorithms there are a few choices, these include the power margin compensation method, the frequency domain analysis method, and the economic optimization method. Of these three algorithms, power margin compensation uses probability and statistics theory to determine the ESS capacity [24][25][26]; frequency domain analysis method deals with the microgrid power fluctuation with low-pass filter (LPF) or discrete Fourier transform (DFT) [12,26,27]; and economic optimization method solves the optimization problem based on economic objectives and constraints [28]. When the microgrids absorb active power from the DC bus, the DC voltage is inclined to drop, and as a result of the control the ESS starts to inject current to charge the DC capacitor and try to keep the DC voltage from decreasing.…”

Section: Ess Sizing Methodsmentioning

confidence: 99%

Design and Analysis of Flexible Multi-Microgrid Interconnection Scheme for Mitigating Power Fluctuation and Optimizing Storage Capacity

et al. 2019

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With the rapid increase of renewable energy integration, more serious power fluctuations are introduced in distribution systems. To mitigate power fluctuations caused by renewables, a microgrid with energy storage systems (ESSs) is an attractive solution. However, existing solutions are still not sufficiently cost-effective for compensating enormous power fluctuations considering the high unit cost of ESS. This paper proposes a new flexible multi-microgrid interconnection scheme to address this problem while optimizing the utilization of ESSs as well. The basic structure and functions of the proposed scheme are illustrated first. With the suitable power allocation method in place to realize fluctuation sharing among microgrids, the effectiveness of this scheme in power smoothing is analyzed mathematically. The corresponding power control strategies of multiple converters integrated into the DC common bus are designed, and the power fluctuation sharing could be achieved by all AC microgrids and DC-side ESS. In addition, a novel ESS sizing method which can deal with discrete data set is introduced. The proposed interconnection scheme is compared with a conventional independent microgrid scheme through real-world case studies. The results demonstrate the effectiveness of the interconnected microgrid scheme in mitigating power fluctuation and optimizing storage capacity, while at the expense of slightly increased capacity requirement for the AC/DC converters and construction cost for DC lines. According to the economic analysis, the proposed scheme is most suitable for areas where the distances between microgrids are short.

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Section: Ess Sizing Methodsmentioning

confidence: 99%

Design and Analysis of Flexible Multi-Microgrid Interconnection Scheme for Mitigating Power Fluctuation and Optimizing Storage Capacity

et al. 2019

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“…In order to solve problems of global warming and depletion of energy resources, the world has been turning to alternatives of fossil fuels. Wind energy is one of the most rapidly growing renewable power source and wind power penetrations have been increasingly demanded [1]. The most significant characteristic of power generated from wind turbine is fluctuation due to variation of wind speed.…”

Section: Introductionmentioning

confidence: 99%

A MILP Approach to Accommodate More Wind Generation in Distribution Networks

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Wang²,

Xu³

et al. 2017

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“…Reference [9] presents an overview of battery ESSs and their impacts on various aspects of a power system, such as economics, stability and reliability. An optimisation method is presented in [10] that utilises battery ESS to smooth out the wind power fluctuation and thereby maximise the benefit of a windfarm.…”

Section: Introductionmentioning

confidence: 99%