Overview of different topologies and control strategies for DC micro grids

Wunder, Bernd; Ott, Leopold; Kaiser, Julian; Han, Yunchao; Fersterra, Fabian; März, Martin

doi:10.1109/icdcm.2015.7152067

Cited by 31 publications

(11 citation statements)

References 3 publications

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“…In recent years, to reduce fossil energy consumption, the development of environmentally friendly dc-microgrid technologies have gradually received attention [1][2][3][4][5][6][7]. As shown in Figure 1, a typical dc-microgrid structure includes a lot of power electronics interfaces such as bidirectional grid-connected converters (GCCs), PV/wind distributed generations (DGs), battery energy systems (BES), electric vehicles (EVs), and so on [4].…”

Section: Introductionmentioning

confidence: 99%

Development of a Novel Bidirectional DC/DC Converter Topology with High Voltage Conversion Ratio for Electric Vehicles and DC-Microgrids

Lai

2016

Energies

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Abstract:The main objective of this paper was to study a bidirectional direct current to direct current converter (BDC) topology with a high voltage conversion ratio for electric vehicle (EV) batteries connected to a dc-microgrid system. In this study, an unregulated level converter (ULC) cascaded with a two-phase interleaved buck-boost charge-pump converter (IBCPC) is introduced to achieve a high conversion ratio with a simpler control circuit. In discharge state, the topology acts as a two-stage voltage-doubler boost converter to achieve high step-up conversion ratio (48 V to 385 V). In charge state, the converter acts as two cascaded voltage-divider buck converters to achieve high voltage step-down conversion ratio (385 V to 48 V). The features, operation principles, steady-state analysis, simulation and experimental results are made to verify the performance of the studied novel BDC. Finally, a 500 W rating prototype system is constructed for verifying the validity of the operation principle. Experimental results show that highest efficiencies of 96% and 95% can be achieved, respectively, in charge and discharge states.

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Section: Introductionmentioning

confidence: 99%

Development of a Novel Bidirectional DC/DC Converter Topology with High Voltage Conversion Ratio for Electric Vehicles and DC-Microgrids

Lai

2016

Energies

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“…The most commonly employed architecture for rural electrification is the central generation and central storage architecture (CGCSA), which is structurally less complex in comparison to the other architectures. Due to centralized nature, it offers simplified controllability, enhanced reliability, and easy maintenance [32]. The schematic diagram of a village having N-number of houses electrified through CGCSA of PV DC microgrid is shown in Figure 1.…”

Section: Central Generation and Central Storage Architecturementioning

confidence: 99%

Sustainable Rural Electrification Through Solar PV DC Microgrids—An Architecture-Based Assessment

et al. 2020

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Solar photovoltaic (PV) direct current (DC) microgrids have gained significant popularity during the last decade for low cost and sustainable rural electrification. Various system architectures have been practically deployed, however, their assessment concerning system sizing, losses, and operational efficiency is not readily available in the literature. Therefore, in this research work, a mathematical framework for the comparative analysis of various architectures of solar photovoltaic-based DC microgrids for rural applications is presented. The compared architectures mainly include (a) central generation and central storage architecture, (b) central generation and distributed storage architecture, (c) distributed generation and central storage architecture, and (d) distributed generation and distributed storage architecture. Each architecture is evaluated for losses, including distribution losses and power electronic conversion losses, for typical power delivery from source end to the load end in the custom village settings. Newton–Raphson method modified for DC power flow was used for distribution loss analysis, while power electronic converter loss modeling along with the Matlab curve-fitting tool was used for the evaluation of power electronic losses. Based upon the loss analysis, a framework for DC microgrid components (PV and battery) sizing was presented and also applied to the various architectures under consideration. The case study results show that distributed generation and distributed storage architecture with typical usage diversity of 40% is the most feasible architecture from both system sizing and operational cost perspectives and is 13% more efficient from central generation and central storage architecture for a typical village of 40 houses. The presented framework and the analysis results will be useful in selecting an optimal DC microgrid architecture for future rural electrification implementations.

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“…The different number of participants can result in a wide range of workload situations for the DC microgrid. For this reason, many works [3], [4], [11], [12], propose adaptive droop curve controls with an additional communication link to a superior control unit like a PLC. Even though, this approach requires additional cabling effort and increases complexity due to additional hard-and software, many works use adaptive droop control due to its flexibility [10], [13]- [16].…”

Section: B Control Of DC Microgridsmentioning

confidence: 99%

“…In the last few years there has been a growing interest in industrial direct current (DC) microgrids as a new approach for more energy efficient production processes [1]. DC microgrids have been already applied in DC-powered ships or server data centers [2], [3]. In industrial context DC microgrids are supposed to increase the usage of recuperation energy and to reduce conversion losses.…”

Section: Introduction and State Of The Artmentioning

confidence: 99%

Load Profile Cycle Recognition for Industrial DC Microgrids with Energy Storage Systems

Mannel

Müller

Knochelmann

et al. 2020

2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

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Many consumers in production plants like industrial robots or tool machines perform repetitive movements, which lead to a cyclic load demand. However, these load profiles can usually only be roughly estimated at the planning stage. Hence, a subsequent online adaptation of the energy distribution is useful for cases, such as balancing between the charging and discharging amount of energy storage systems to improve those lifetime and usage. This paper presents a novel method of online adaptation for the load distribution of production processes within industrial direct current (DC) microgrids. The online load profile cycle recognition was used to adapt the energy distribution among the sources and loads in the DC microgrid. These sources can be inverters, rectifiers, energy storage systems or decentralized power supply units, such as photo voltaic systems. The approach consists of three major points, the load profile cycle recognition, the load profile analysis and the online adaptation of the energy distribution. This solution was tested in simulation and in experiment with a test rig, that contains an inverter and an energy storage system. The results show, that the load profile will be recognized latest from the third cycle and that the imbalance between charging and discharging amounts of the energy storage is less than 0.6% for each cycle after adaptation.

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Overview of different topologies and control strategies for DC micro grids

Cited by 31 publications

References 3 publications

Development of a Novel Bidirectional DC/DC Converter Topology with High Voltage Conversion Ratio for Electric Vehicles and DC-Microgrids

Development of a Novel Bidirectional DC/DC Converter Topology with High Voltage Conversion Ratio for Electric Vehicles and DC-Microgrids

Sustainable Rural Electrification Through Solar PV DC Microgrids—An Architecture-Based Assessment

Load Profile Cycle Recognition for Industrial DC Microgrids with Energy Storage Systems

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