Research on configuration strategy for regional energy storage system based on three typical filtering methods

Cao, Minjian; Xu, Qingshan; Bian, Haihong; Yuan, Xiaodong; Du, Pengwei

doi:10.1049/iet-gtd.2015.1096

Cited by 11 publications

(9 citation statements)

References 22 publications

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“…However, the DFT method has two disadvantages. It has inherent circular convolution problem [29] and is not suitable for practical control, for the ideal filter in the DFT method can't be achieved in practice.…”

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 this section, three different ESS sizing methods including the proposed method in this paper and two methods discussed in [10] are compared in the view of smoothing the output power of the WSS. Specifically, the other two sizing methods are based on the ideal low‐pass filtering method and the moving average filtering method.…”

Section: Comparison With Other Ess Sizing Methodsmentioning

confidence: 99%

Engineering energy storage sizing method considering the energy conversion loss on facilitating wind power integration

Cao

Nazaripouya

et al. 2019

IET Generation, Transmission & Distribution

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“…The energy of the wind power data P 0 , P 1 , namely E 0 and E 1 , is calculated based on Equation (6). Also, the energy of the wind power data P 0 is chosen as the standard energy.…”

Section: Methods Usedmentioning

confidence: 99%

“…However, a series of drawbacks, such as intermission randomness of renewable energy, must be considered with the promotion of new forms of generation [4,5]. Otherwise, stability and safety problems caused by renewable energy generation may become a serious problem in a modern power systems [6].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems

et al. 2016

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Abstract:In this paper, a novel method is proposed and applied to quickly calculate the capacity of energy storage for stand-alone and grid-connected wind energy systems, according to the discrete Fourier transform theory. Based on practical wind resource data and power data, which are derived from the American Wind Energy Technology Center and HOMER software separately, the energy storage capacity of a stand-alone wind energy system is investigated and calculated. Moreover, by applying the practical wind power data from a wind farm in Fujian Province, the energy storage capacity for a grid-connected wind system is discussed in this paper. This method can also be applied to determine the storage capacity of a stand-alone solar energy system with practical photovoltaic power data.

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Research on configuration strategy for regional energy storage system based on three typical filtering methods

Cited by 11 publications

References 22 publications

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

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

Engineering energy storage sizing method considering the energy conversion loss on facilitating wind power integration

A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems

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