Automation of a distributed generation system

Dulău, Lucian Ioan; Abrudean, Mihail; Bică, Dorin

doi:10.1109/upec.2014.6934734

Cited by 12 publications

(3 citation statements)

References 8 publications

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“…1 The data for the loads, generators, and cost coefficients are formulated in [6,8,17]. The distributed generators power output is presented in The total load of the IEEE 30 bus test system is 283.4 MW.…”

Section: Distributed Generation System Datamentioning

confidence: 99%

Simulation of a Distributed Generation System

Dulău

2015

2015 20th International Conference on Control Systems and Computer Science

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This paper describes the simulation of a distributed generation system with storage technologies. The simulation is performed using a SCADA software for a distributed generation system, considering the generation cost, the daily load, the power losses and the availability of the system's generating units. Also, a storage unit is added to the system. The system's generating units cover demand in order of their generating cost coefficient, with the observation that if the distributed energy sources are ongrid, they have priority access to the system. This is because the power provided by the distributed generator is variable in timedue to the availability of their primary source. When the demand is higher than the generation output, the storage unit will be used to cover the necessary remaining power.

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Section: Distributed Generation System Datamentioning

confidence: 99%

Simulation of a Distributed Generation System

Dulău

2015

2015 20th International Conference on Control Systems and Computer Science

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“…The power electronics field is known for its extensive range of applications, e.g., from power converters, semiconductors, electric machines, and generation/storage systems to analog and digital circuits, ICs, and RF [1]. Most of these applications are currently in vogue, e.g., distributed generation with renewable energy sources and its control [2][3][4][5] and storage systems [6,7], since decreasing the CO 2 emissions generated by some of the centralized power plants is now required. Building Applied Photovoltaics (BAPV) and Building Integrated Photovoltaics (BIPV) and their connection to the system are the focus of much research currently.…”

Section: Introductionmentioning

confidence: 99%

Gallium-Nitride Semiconductor Technology and Its Practical Design Challenges in Power Electronics Applications: An Overview

et al. 2019

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This paper will revise, experimentally investigate, and discuss the main application challenges related to gallium nitride power semiconductors in switch-mode power converters. Gallium Nitride (GaN) devices are inherently gaining space in the market. Due to its high switching speed and operational switching frequency, challenges related to the circuit design procedure, passive component selection, thermal management, and experimental testing are currently faced by power electronics engineers. Therefore, the focus of this paper is on low-voltage (<650 V) devices that are used to assemble DC-DC and/or DC-AC converters to, for instance, interconnect PV generation systems in the DC and/or AC grids. The current subjects will be discussed herein: GaN device structure, the advantages and disadvantages of each lateral gallium nitride technology available, design challenges related to electrical layout and thermal management, overvoltages and its implications in the driver signal, and finally, a comprehensive comparison between GaN and Si technology considering the main parameters to increase the converters efficiency.

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“…It is noted that, the newly appeared distributions are no longer passive and now, they work as active distribution networks. [1][2][3] The viability of DG depends largely on regulations and [3] In Section II of this paper is presented the test system data and the optimization modeling.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a power system with distributed generation sources

Dulău

Bică

2015

2015 13th International Conference on Engineering of Modern Electric Systems (EMES)

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This paper describes the optimization of a power system with distributed generation (DG) sources. The optimization aims to minimize the electricity production costs ensuring that the load is served reliably and is conducted using the fmincon function in Matlab. The optimization is performed considering the power demand and the availability of the system's generating units, and equality restrictions. The optimization is performed first for steady-state condition, and second for the entire day. The optimization for the entire day is performed for two cases: when the DG sources are connected to the system and when the DG sources are not connected to the system. The test system comprises four generators and one load. Index Terms-distributed generation, distributed generation sources, fmincon function, optimization of a system with DG sources2015 13th International Conference on Engineering of Modern Electric Systems (EMES) 978-1-4799-7650-8/15/$31.00 ©2015 IEEE

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Automation of a distributed generation system

Cited by 12 publications

References 8 publications

Simulation of a Distributed Generation System

Simulation of a Distributed Generation System

Gallium-Nitride Semiconductor Technology and Its Practical Design Challenges in Power Electronics Applications: An Overview

Optimization of a power system with distributed generation sources

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