Simulative Analysis of a Flexible, Robust and Sustainable Energy Supply through Industrial Smart-DC-Grid with Distributed Grid Management

Schaab, Darian Andreas; Weckmann, Sebastian; Kuhlmann, Timm; Sauer, Alexander

doi:10.1016/j.procir.2017.11.037

Cited by 26 publications

(7 citation statements)

References 7 publications

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“…Furthermore, the control is simplified compared to AC grids, since the provision of reactive power is no longer necessary [11,12]. Due to the increasing share of renewable energies in the overall energy mix, as well as through material reduction, the CO 2 footprint is significantly reduced [4,13,14].…”

Section: Motivation Of DC Grids Branches For Production Plantsmentioning

confidence: 99%

Simulation-Based Efficiency Comparison of Different Mains Configurations for DC Grid Branches for Supplying Production Plants Based on a Rule-Compliant Design

Gutwald

Ndjiemeni

Barth

et al. 2023

Lecture Notes in Mechanical Engineering

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Numerous research projects are investigating direct current (DC) grids for supplying energy to production plants. The motivation is the higher efficiency and lower material requirements compared to conventional grid structures, as fewer electrical conversion processes occur, regenerative energies can be coupled in more efficiently and recuperation energy can be stored better. The grid form and the associated earthing concept require different protective devices. The publication simulates two possible grid forms and compares the efficiency with an approximated power curve of a production cell. The publication gives researchers and plant planners an impression of how such a network is designed and which components influence the efficiency. It serves as a decision-making aid for the selection of the grid form and helps with the design of the electrical components.

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Section: Motivation Of DC Grids Branches For Production Plantsmentioning

confidence: 99%

Simulation-Based Efficiency Comparison of Different Mains Configurations for DC Grid Branches for Supplying Production Plants Based on a Rule-Compliant Design

Gutwald

Ndjiemeni

Barth

et al. 2023

Lecture Notes in Mechanical Engineering

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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%

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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“…In this section the optimization of the controller's behavior is addressed. For this purpose the adaptive droop voltage control approach, previously proposed by [15], is extended by an additional dimension. The grid points of the characteristic diagram are then optimized using a monetary cost function.…”

Section: Optimizationmentioning

confidence: 99%

Cost-Optimized Control of DC Microgrids based on Characteristic Diagrams

Knochelmann

Tappe

Ortmaier

et al. 2019

2019 IEEE International Conference on Industrial Technology (ICIT)

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This paper presents a novel approach for an energy control of a DC microgrid. It combines decentralized grid management and energy management. For this purpose, the conventional voltage droop curves are extended to a characteristic diagram with electricity costs as a further dimension. The support points of these characteristic diagrams are then optimized with a particle swarm optimizer. The target criterion of this optimization is a monetary cost function, that takes several effects, such as depth of discharge, on the operating costs into account. The optimized characteristic diagrams are designed more robust by a sensitivity analysis. The proposed method has been tested successfully in simulations and experiment and was always more cost-efficient than the initial characteristics diagram. Index Terms-energy control, DC microgrid, characteristic diagrams, voltage droop control This is the author's version of an article that has been published in the ICIT 2019 proceedings.

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Simulative Analysis of a Flexible, Robust and Sustainable Energy Supply through Industrial Smart-DC-Grid with Distributed Grid Management

Cited by 26 publications

References 7 publications

Simulation-Based Efficiency Comparison of Different Mains Configurations for DC Grid Branches for Supplying Production Plants Based on a Rule-Compliant Design

Simulation-Based Efficiency Comparison of Different Mains Configurations for DC Grid Branches for Supplying Production Plants Based on a Rule-Compliant Design

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

Cost-Optimized Control of DC Microgrids based on Characteristic Diagrams

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