Testing Smart Grid Scenarios with Small Volume Testbed and Flexible Power Inverter

Krysik, Miłosz; Piotrowski, Krzysztof; Turchan, Krzysztof

doi:10.3390/en15020428

Cited by 3 publications

(1 citation statement)

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“…Such testbeds have been developed previously (see, for example, [ 12 , 13 , 14 , 15 , 16 ]), but their focus is grid-scale analysis of their performance, which makes them expensive and not readily accessible. Recently, lab-scale testbeds were introduced [ 17 , 18 ]. Our group also presented a lab-scale hardware testbed, referred to as SmartGridLab [ 19 ], which provides a low-cost means to design heterogeneous grid infrastructure with solar panels, wind turbines, smart appliances, energy storage, and facilities to route energy to different grid sections [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Alternating-Current Microgrid Testbed Built with Low-Cost Modular Hardware

Haidekker

Liu

Song

2023

Sensors

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With the growing popularity of microgrids for alternative energy management, there is demand for tools that allow us to study the effect of microgrids in distributed power systems. Popular methods involve software simulation and prototype validation with physical hardware. Simulations often do not capture the complex interactions, and combinations of software simulations with hardware testbeds promise to give a more accurate picture. These testbeds, however, usually aim at the validation of hardware for industrial-scale use, which makes them expensive and not readily accessible. To fill the gap between full-scale hardware and software simulation, we propose a modular lab-scale grid model at a 1:100 power scale over residential single-phase networks with 12 V AC and 60 Hz grid voltage. We present different modules—power sources, inverters, demanders, grid monitors, and grid-to-grid bridges—that can be assembled into distributed grids of almost arbitrary complexity. The model voltage poses no electrical hazards, and microgrids can readily be assembled with an open power line model. Unlike a prior DC-based grid testbed, the proposed AC model allows us to examine additional aspects, such as frequency, phase, active and apparent power, and reactive loads. Grid metrics, including the discretely sampled voltage and current waveforms, can be collected and sent to higher-tier grid management systems. We integrated the modules with Beagle Bone micro-PCs, which in turn connect any such microgrid with an emulation platform built on CORE (Common Open Research Emulator) and the Gridlab-D power simulator, thereby allowing hybrid software/hardware simulations. Our grid modules were shown to fully operate in this environment. Through the CORE system, multitiered control and even remote grid management is possible. However, we also found that the AC waveform poses design challenges that require us to balance accurate emulation (most notably with respect to harmonic distortion) with per-module costs.

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