Multi-microgrid laboratory infrastructure for smart grid applications

Messinis, George M.; Kleftakis, Vasilis; Kouveliotis-Lysikatos, Iasonas; Rigas, A.; Vassilakis, Athanasios; Kotsampopoulos, Panos; Hatziargyriou, N.

doi:10.1049/cp.2014.1670

Cited by 14 publications

(27 citation statements)

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“…Note that the frequency remains at the desired value even during the phase synchronization from 3 s to 5 s. This is one of the main differences between the proposed synchronization method and the one described in [12]. Reference [12] deals with the transition of a laboratory microgrid from islanded to grid-connected mode.…”

Section: Hardware Setup and Resultsmentioning

confidence: 99%

Section: Hardware Setup and Resultsmentioning

confidence: 99%

“…Reference [12] deals with the transition of a laboratory microgrid from islanded to grid-connected mode. For purposes of qualitative comparison with the previous results, the transition process of [12] is repeated in the next figures. The voltage source unit (this is a battery inverter in the laboratory) monitors the grid voltage waveform and gradually lowers the microgrid frequency at 10 s, in order to reduce the phase difference.…”

Section: Hardware Setup and Resultsmentioning

confidence: 99%

“…Time (s) Fig. 16 Frequencies during transition according to [12] In [13], frequency and angle synchronization affect each other and during the breaker's closure, frequency or angle slightly deviates from their desired values. As a result, oscillations or non-desired spikes may happen.…”

Section: Hardware Setup and Resultsmentioning

confidence: 99%

“…The technique of [11] follows the same reasoning by implementing the synchronization algorithm in the secondary control level that affects the set points of the droop control loops. Reference [12] describes the transition process of a real microgrid between modes. The voltage source unit gradually lowers the microgrid frequency, in order to reduce the phase difference.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Control strategy for seamless transition from islanded to interconnected operation mode of microgrids

Papadimitriou

Kleftakis

Hatziargyriou

2016

J. Mod. Power Syst. Clean Energy

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Microgrids can operate either interconnected to the utility grid or disconnected forming an island. The transition between these modes can cause transient overcurrents or power oscillations jeopardizing the equipment safety or the system stability. This paper proposes a local multi agent control method for a seamless transfer between the islanded and interconnected modes of operation with agents implemented into the microgrid central switch (MCS) and into the microsources inverters. The MCS agent supervises the grid status and controls the switch for the transition of the microgrid through the different operation modes, while it communicates locally with the inverter agents of the microsources. The inverter agents undertake the synchronization process in case of reconnecting and change the inverter control mode depending on the grid status. Simulation and experimental results are presented to show the performance and feasibility of the proposed strategy.

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Section: Hardware Setup and Resultsmentioning

confidence: 99%

Section: Hardware Setup and Resultsmentioning

confidence: 99%

Section: Hardware Setup and Resultsmentioning

confidence: 99%

Section: Hardware Setup and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Control strategy for seamless transition from islanded to interconnected operation mode of microgrids

Papadimitriou

Kleftakis

Hatziargyriou

2016

J. Mod. Power Syst. Clean Energy

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State-of-the-art review on energy sharing and trading of resilient multi microgrids

Kumar,

Singh,

Raghav

et al. 2024

iScience

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A hierarchical distributed predictive control approach for microgrids energy management

Dao

Dehghani-Pilehvarani

Markou

et al. 2019

Sustainable Cities and Society

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This paper addresses the problem of management and coordination of energy resources in a typical microgrid, including smart buildings as flexible loads, energy storages and renewables. The overall goal is to provide a comprehensive and innovative framework to maximize the overall benefit, still accounting for possible requests to change the load profile coming from the grid and leaving every single building or user to balance between servicing those requests and satisfying his own comfort levels. The user involvement in the decision-making process is granted by a management and control solution exploiting an innovative distributed model predictive control approach with coordination. In addition, also a hierarchical structure is proposed, to integrate the distributed MPC user-side with the microgrid control, also implemented with an MPC technique. The proposed overall approach has been implemented and tested in several experiments in the laboratory facility for distributed energy systems (Smart RUE) at NTUA, Athens, Greece. Simulation analysis and results complement the testing, showing the accuracy and the potential of the method, also in the perspective of implementation. Index Terms-Energy Management, Distributed Control, Model Predictive Control, Microgrid(MPC), which is well suited to deal with a large amount of constraints of different types that have to be imposed in real time in microgrids. This technique has been exploited for example in [2,3,11,12] and [17][18][19][20][21][22][23]. In [2], [3] and [21] the flexible loads are modelled as a predefined range of possible load consumption and the microgrid controller can directly determine a load profile as long as it fulfils the range. This approach neglects the dynamic of load flexibility in the shiftable loads category (e.g., heating/cooling system, refrigerator, washing machine, etc.) since the size of the predefined range in one step of this load type can not be fixed in advance and it depends on the value of decision variable in the previous steps. On the other hand, in [17] and [23], the load side may reveal its model which later will be formulated in the optimization problem in a centralized controller.Concerning the control scheme, a centralized predictive scheme is considered in [2], [3], [12], [17] and [18]. However, it is well-known that this scheme presents issues of scalability, computational burden, failure of single unit, adaptability, etc. Recent works are putting more attention to the distributed MPC and hierarchical control schemes, such as [11], [19]. In particular, in [19], a two-layer control scheme based MPC operating at two different timescales has been studied. In the paper, some details on the markets (e.g., imbalance charge, difference in purchasing and selling tariffs) are neglected and the flexible load is not considered. On the other hand, the paper [11] employs a sequential distributed MPC on energy management problems in the microgrid; however, some details are missing, including the presence of RES (Renewable Energy Resource),...

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Multi-microgrid laboratory infrastructure for smart grid applications

Cited by 14 publications

References 0 publications

Control strategy for seamless transition from islanded to interconnected operation mode of microgrids

Control strategy for seamless transition from islanded to interconnected operation mode of microgrids

State-of-the-art review on energy sharing and trading of resilient multi microgrids

A hierarchical distributed predictive control approach for microgrids energy management

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