Efficient Energy Management in Smart Micro-Grids: ZERO Grid Impact Buildings

Abstract:The AC and DC power system structures need to be modernized to meet consumer demands. DC microgrids are suitably admired due to their high efficiency, consistency, reliability, and load sharing performance, when interconnected to DC renewable and storage sources. The main control objective for any DC microgrid is providing proper load-power balancing based on the Distributed Generator (DG) sources. Due to the intermittent nature of renewable energy sources, batteries play an important role in load-power balancing in a DC microgrid. The existing energy management strategy may be able to meet the load demand. However, that technique is not suitable forrural communities' power system structure. This research offers an energy management strategy (EMS) for a DC microgrid to supply power to rural communities with solar, wind, fuel cell, and batteries as input sources. The proposed EMS performs the load-power balancing between each source (renewable and storage) in a DC microgrid for dynamic load variation. Here, the EMS handles two battery sources (one is used to deliver power to the priority load, and the other is utilized in the common DC bus) to meet the required demand. The proposed EMS is capable of handling load-power balancing using renewable energy sources with less consumption of non-conventional energy sources (such as a diesel generator). The performance of the system is analyzed based on different operating conditions of the input sources. The MATLAB/Simulink simulation model for the proposed DC microgrid with their EMS control system is developed and investigated, and their results are tabulated under different input and load conditions. The proposed EMS is verified through a laboratory real-time DC microgrid experimental setup, and the results are discussed.

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“…The wind model consists of variation of wind velocity with gust and wind speed [30][31][32][33][34][35][36].…”

Section: Mathematical Modeling Of Wind Powermentioning

confidence: 99%

Energy Management Strategy for Rural Communities’ DC Micro Grid Power System Structure with Maximum Penetration of Renewable Energy Sources

et al. 2018

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“…Then using the expression (7) it obtains the phase to neutral voltages in all buildings. With these voltages and assuming as known variable the apparent power consumed by all buildings it calculates the phase current in all buildings using the expression (8). With the currents consumed by all buildings in all phases the neutral currents of the whole grid can be calculated using eq.…”

Section: Pf Solvermentioning

confidence: 99%

“…The second one is a DC level and it is connected to the first one through an AC/DC converter. In [8] a hybrid scheme is implemented. In this particular case the conventional AC system inside a building coexists with a DC bus where the distributed generators and the storage systems are connected.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical coordination of a hybrid AC/DC smartgrid with central/distributed energy storage

Arboleya

Garcia

et al. 2016

2016 IEEE Energy Conversion Congress and Exposition (ECCE)

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Abstract-This work describes a hybrid AC/DC Smart Grid distribution scheme installed at LEMUR microgrid laboratory. The control of the microgrid is carried out according to a hierarchical coordination considering the high level control. The configuration includes a microgrid (µG) connected to the main utility grid (MUG) by means of a solid state transformer (STT). The µG is formed by several nanogrids (nGs). All (nGs) are based on four wire configurations, as they are usually employed in AC distribution systems. However, the scheme is considered as a hybrid Smart Grid because the connection among different nanogrids and with the SST are DC connections. The SST is also equipped with a third port connected to a central energy storage system (CESS). The coordination between the different involved in the systems: the installed dispersed generators at nanogrid level, the nanogrids, the SST and the CESS has been implemented using a bottom-up hierarchical approach. Several configurations at nanogrid and microgrid levels are shown and analyzed. For making the coordination of the different elements of the microgrid, a fast power flow alorithm for estimating the state of the microgrid in real time was developed. In this paper the proposed structure is described paying special attention to the power flow algorithm. The results obtained with the power flow algorithm in simulations were validated at laboratory level.

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“…Energy has been increasingly generated or collected by different entities on the power grid (e.g., universities, hospitals and householdes) via solar panels, wind turbines or local generators in the past decade. With local energy, such electricity consumers can be considered as "microgrids" which can simulataneously generate and consume energy [20,1]. More recently, the research on cooperation among entities on the power grid (e.g., microgrids) has attracted great interests in both industry and academia [20].…”

Section: Introductionmentioning

confidence: 99%

Privacy Preserving and Collusion Resistant Energy Sharing

Yuan

Wang

Xie

et al. 2018

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Energy has been increasingly generated or collected by different entities on the power grid (e.g., universities, hospitals and householdes) via solar panels, wind turbines or local generators in the past decade. With local energy, such electricity consumers can be considered as "microgrids" which can simulataneously generate and consume energy. Some microgrids may have excessive energy that can be shared to other power consumers on the grid. To this end, all the entities have to share their local private information (e.g., their local demand, local supply and power quality data) to each other or a third-party to find and implement the optimal energy sharing solution. However, such process is constrained by privacy concerns raised by the microgrids. In this paper, we propose a privacy preserving scheme for all the microgrids which can securely implement their energy sharing against both semihonest and colluding adversaries. The proposed approach includes two secure communication protocols that can ensure quantified privacy leakage and handle collusions.

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Efficient Energy Management in Smart Micro-Grids: ZERO Grid Impact Buildings

Cited by 68 publications

References 12 publications

Energy Management Strategy for Rural Communities’ DC Micro Grid Power System Structure with Maximum Penetration of Renewable Energy Sources

Energy Management Strategy for Rural Communities’ DC Micro Grid Power System Structure with Maximum Penetration of Renewable Energy Sources

Hierarchical coordination of a hybrid AC/DC smartgrid with central/distributed energy storage

Privacy Preserving and Collusion Resistant Energy Sharing

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