Application of Microgrids in Supporting Distribution Grid Flexibility

Majzoobi, Alireza; Khodaei, Amin

doi:10.1109/tpwrs.2016.2635024

Cited by 126 publications

(90 citation statements)

References 33 publications

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“…DSOs may also benefit from flexibility services provided by MGs connected to the distribution grids. Reference [56] illustrated how MGs could control their local resources to provide the grid with flexibility/ancillary services. However, the results of [56] advocate that MGs should deviate from their optimal profits in order to provide the distribution grid with the desired ramping needs.…”

Section: Flexible Resources At Dso Levelmentioning

confidence: 99%

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

et al. 2019

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The serious problem of climate change has led the energy sector to modify its generation resources from fuel-based power plants to environmentally friendly renewable resources. However, these green resources are highly intermittent due to weather dependency and they produce increased risks of stability issues in power systems. The deployment of different flexible resources can help the system to become more resilient and secure against uncertainties caused by renewables. Flexible resources can be located at different levels in power systems like, for example, at the transmission-level (TSO), distribution-level (DSO) and customer-level. Each of these levels may have different structures of flexibility trading as well. This paper conducts a comprehensive review from the recent research related to flexible resources at various system levels in smart grids and assesses the trading structures of these resources. Finally, it analyzes the application of a newly emerged ICT technology, blockchain, in the context of flexibility trading.

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Section: Flexible Resources At Dso Levelmentioning

confidence: 99%

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

et al. 2019

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“…This power is limited to the capacity of the line/substation connecting the microgrid to the utility grid (18). Dispatchable units are subject to capacity limits (19) and ramping limits (20)- (21). The energy storage power in charging and discharging modes is limited by respective limits (22)- (23).…”

Section: B Subproblem (Optimal Operation)mentioning

confidence: 99%

Capturing distribution grid-integrated solar variability and uncertainty using microgrids

Majzoobi

Khodaei

Bahramirad³

2017

2017 IEEE Power &Amp; Energy Society General Meeting

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The variable nature of the solar generation and the inherent uncertainty in solar generation forecasts are two challenging issues for utility grids, especially as the distribution grid integrated solar generation proliferates. This paper offers to utilize microgrids as local solutions for mitigating these negative drawbacks and helping the utility grid in hosting a higher penetration of solar generation. A microgrid optimal scheduling model based on robust optimization is developed to capture solar generation variability and uncertainty. Numerical simulations on a test feeder indicate the effectiveness of the proposed model.

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“…The variety applications of microgrids along with the many promising benefits, such as energy efficiency, improved reliability and power quality, and facilitated integration of renewable resources, have resulted in considering this technology as a main constituent of future power systems [1][2][3][4][5]. Most microgrids are designed to be AC, similar to the traditional approach to develop and expand power systems.…”

Section: Setsmentioning

confidence: 99%