Conceptual Study for Open Energy Systems: Distributed Energy Network Using Interconnected DC Nanogrids

Werth, Annette; Kitamura, Nobuyuki; Tanaka, Kenji

doi:10.1109/tsg.2015.2408603

Cited by 174 publications

(82 citation statements)

References 18 publications

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“…Considering that the energy efficiency of BESS in charging/discharging is less than 100%, when the BESS' scheduling power is x BS n , the actual charging power should be x BS n · η, whereas the actual discharging power should be x BS n /η. As shown in (1) and (8), the cost function of DG and BS is convex, which indicates that the cost function h n (x) is convex, as well.…”

Section: Optimal Scheduling Model Of Mgsmentioning

confidence: 93%

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A Privacy-Preserving Distributed Optimal Scheduling for Interconnected Microgrids

Liu¹,

Wang²,

Cheng³

et al. 2016

Energies

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With the development of microgrids (MGs), interconnected operation of multiple MGs is becoming a promising strategy for the smart grid. In this paper, a privacy-preserving distributed optimal scheduling method is proposed for the interconnected microgrids (IMG) with a battery energy storage system (BESS) and renewable energy resources (RESs). The optimal scheduling problem is modeled to minimize the coalitional operation cost of the IMG, including the fuel cost of conventional distributed generators and the life loss cost of BESSs. By using the framework of the alternating direction method of multipliers (ADMM), a distributed optimal scheduling model and an iteration solution algorithm for the IMG is introduced; only the expected exchanging power (EEP) of each MG is required during the iterations. Furthermore, a privacy-preserving strategy for the sharing of the EEP among MGs is designed to work with the mechanism of the distributed algorithm. According to the security analysis, the EEP can be delivered in a cooperative and privacy-preserving way. A case study and numerical results are given in terms of the convergence of the algorithm, the comparison of the costs and the implementation efficiency.

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Section: Optimal Scheduling Model Of Mgsmentioning

confidence: 93%

“…Considering the type of MGs, the interconnection among autonomous MGs can be realized via an AC [6,7], DC [8] or AC-DC hybrid architecture [9]. As a newly-emerging topic of the smart grid, there are still limited research works focused on the related problems of IMGs.…”

Section: Introductionmentioning

confidence: 99%

A Privacy-Preserving Distributed Optimal Scheduling for Interconnected Microgrids

Liu¹,

Wang²,

Cheng³

et al. 2016

Energies

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“…When combining these two approaches, one would naturally end up with a DC/DC converter at the entrance of every house [11]. The advantage of this system architecture is that the nano-and microgrid systems are electrically separated.…”

Section: No Converters At the Nanogrid's Interfacementioning

confidence: 99%

“…Most of the work on DC distribution grids assumes that converters are installed at each household, which connect the local DC or AC nanogrids [9][10][11]. These converters provide a convenient separation and could also be used for protection purposes [10].…”

Section: Introductionmentioning

confidence: 99%

Toward the Universal DC Distribution System

Mackay

Blij

Ramírez-Elizondo

et al. 2017

Electric Power Components and Systems

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“…1,2 Nanogrid is a power system architecture, where power generated through renewable sources are connected to the grid locally through power electronic converters. [3][4][5][6][7] Schematic of DC nanogrid where power is supplied primarily by PV panels is shown in Figure 1. It comprises of PV panel, battery bank, and various DC and AC loads.…”

Section: Introductionmentioning

confidence: 99%

Multicell multi‐output converter to counter unbalanced input sources in nanogrid applications

Pilli

Khan

Kumar

et al. 2019

Int Trans Electr Energ Syst

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Summary Nanogrid is an apt solution to encourage renewable power generation and counter the problem of global warming. It comprises of mostly the PV sources feeding both AC and DC loads. To meet out this scenario, a converter that can convert DC to both DC and AC is required. This paper proposes a hybrid converter providing both AC and DC output for DC input. The proposed converter is a derived form of Split‐Pi converter, known as hybrid Split‐Pi. It works in both boost and buck mode. Inherent shoot through problem of bridge circuit present in a Split‐Pi converter is eliminated as the shoot‐through period is utilized to charge the boost inductor of the proposed converter. Hence, enhanced output is obtained because of the absence of dead time operation. A hardware prototype is developed to validate the proposed converter. Proposed converter is tested for both buck and boost mode. Variation of AC and DC gain with change in duty ratio is observed. The output AC RMS and its THD is studied for different modulation index. Peak of output AC voltage is limited by the input DC voltage. To overcome this issue, the single cell proposed converter is extended to a multicell arrangement. Multicell arrangement integrates multiple input DC voltage sources having different voltage levels. It is simulated for different cases and outputs are discussed.

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Conceptual Study for Open Energy Systems: Distributed Energy Network Using Interconnected DC Nanogrids

Cited by 174 publications

References 18 publications

A Privacy-Preserving Distributed Optimal Scheduling for Interconnected Microgrids

A Privacy-Preserving Distributed Optimal Scheduling for Interconnected Microgrids

Toward the Universal DC Distribution System

Multicell multi‐output converter to counter unbalanced input sources in nanogrid applications

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