Remote Laboratory Testing Demonstration

Pellegrino, L.; Sandroni, Claudio; Bionda, Enea; Pala, Daniele; Lagos, Dimitris T.; Hatziargyriou, Nikos D.; Akroud, N.

doi:10.3390/en13092283

Cited by 16 publications

(16 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…1) Control Signals Coupling: When control signals are exchanged between the RIs, the coupling is referred to as control signals coupling. This type of coupling was referred to as signal coupling in [4], and examples of such coupling are reported in [23]- [26]. When two different domains are interconnected, such as the thermoelectric coupling presented in [5], [6], no natural coupling exists and the coupling is only a control signals coupling.…”

Section: A Couplingmentioning

confidence: 99%

“…This platform was designed for asynchronous couplings and was not made available openly. In [26], an open source orchestrator referred to as Joint Test Facility for Smart Energy Networks with Distributed Energy Resources (JaNDER), was proposed. The incorporation of the orchestrator although facilitated the interconnection of RIs, the delays introduced were in order of seconds and thereby limiting its application to asynchronous AC couplings for steady-state and slower dynamics studies [29].…”

Section: Communicationsmentioning

confidence: 99%

“…A slight increase in latency due to the use of VPN has been reported in [19]. Some other implementations, such as [9], [25], [26], [29], rely on the encryption offered by the underlying software libraries utilised.…”

Section: Communicationsmentioning

confidence: 99%

See 2 more Smart Citations

Real-Time Coupling of Geographically Distributed Research Infrastructures: Taxonomy, Overview, and Real-World Smart Grid Applications

Syed

Guillo-Sansano

Wang

et al. 2021

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

Novel concepts enabling a resilient future power system and their subsequent experimental evaluation are experiencing a steadily growing challenge: large scale complexity and questionable scalability. The requirements on a research infrastructure (RI) to cope with the trends of such a dynamic system therefore grow in size, diversity and costs, making the feasibility of rigorous advancements questionable by a single RI. Analysis of large scale system complexity has been made possible by the real-time coupling of geographically separated RIs undertaking geographically distributed simulations (GDS), the concept of which brings the equipment, models and expertise of independent RIs, in combination, to optimally address the challenge. This paper presents the outputs of IEEE PES Task Force on Interfacing Techniques for Simulation Tools towards standardization of GDS as a concept. First, the taxonomy for setups utilized for GDS is established followed by a comprehensive overview of the advancements in real-time couplings reported in literature. The overview encompasses fundamental technological design considerations for GDS. The paper further presents four application oriented case studies (real-world implementations) where GDS setups have been utilized, demonstrating their practicality and potential in enabling the analysis of future complex power systems. Rob Hovsapian received the M.S. degree in controls and the Ph.D. degree in energy systems from the

show abstract

Section: A Couplingmentioning

confidence: 99%

Section: Communicationsmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Coupling of Geographically Distributed Research Infrastructures: Taxonomy, Overview, and Real-World Smart Grid Applications

Syed

Guillo-Sansano

Wang

et al. 2021

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

show abstract

“…While conventional PHiL setups pose high challenges to be implemented in GD-PHiL manner as instantaneous values of waveforms must be exchanged between simulator and power amplifier, QsPHiL setups are suitable to be considered for GD-PHiL application [7]. A remote control hardware in the loop test, which remotely couples a distribution system simulated in RTDS located in Greece with an actual On-Load-Tap-Changer (OLTC) controller in Spain, is implemented in [18]. This test uses a virtual platform called JaNDER for data exchanging in real-time between two laboratories with the latency lower than 300 ms. A trans-pacific quasi-static closed-loop system test is conducted for a GD-PHiL setup, as presented in [13].…”

Section: Reduced-fidelity Phil In the Literaturementioning

confidence: 99%

Distributed Power Hardware-in-the-Loop Testing Using a Grid-Forming Converter as Power Interface

et al. 2020

View full text Add to dashboard Cite

This paper presents an approach to extend the capabilities of smart grid laboratories through the concept of Power Hardware-in-the-Loop (PHiL) testing by re-purposing existing grid-forming converters. A simple and cost-effective power interface, paired with a remotely located Digital Real-time Simulator (DRTS), facilitates Geographically Distributed Power Hardware Loop (GD-PHiL) in a quasi-static operating regime. In this study, a DRTS simulator was interfaced via the public internet with a grid-forming ship-to-shore converter located in a smart-grid testing laboratory, approximately 40 km away from the simulator. A case study based on the IEEE 13-bus distribution network, an on-load-tap-changer (OLTC) controller and a controllable load in the laboratory demonstrated the feasibility of such a setup. A simple compensation method applicable to this multi-rate setup is proposed and evaluated. Experimental results indicate that this compensation method significantly enhances the voltage response, whereas the conservation of energy at the coupling point still poses a challenge. Findings also show that, due to inherent limitations of the converter’s Modbus interface, a separate measurement setup is preferable. This can help achieve higher measurement fidelity, while simultaneously increasing the loop rate of the PHiL setup.

show abstract

“…The simulation tool can be executed on a conventional computer or a Real-Time Control System (RTCS) [5][6][7][8][9]. A step forward on the technology validation consists of applying CHIL [10][11][12][13]. In this case, all of the power components (power system and power components of the device) are still simulated in a RTCS, but the device control algorithm is embedded into a physical controller, e.g., a digital signal processor, with the objective of its real-time testing.…”

Section: Introductionmentioning

confidence: 99%

Power System Hardware in the Loop (PSHIL): A Holistic Testing Approach for Smart Grid Technologies

et al. 2020

View full text Add to dashboard Cite

The smart-grid era is characterized by a progressive penetration of distributed energy resources into the power systems. To ensure the safe operation of the system, it is necessary to evaluate the interactions that those devices and their associated control algorithms have between themselves and the pre-existing network. In this regard, Hardware-in-the-Loop (HIL) testing approaches are a necessary step before integrating new devices into the actual network. However, HIL is a device-oriented testing approach with some limitations, particularly considering the possible impact that the device under test may have in the power system. This paper proposes the Power System Hardware-in-the-Loop (PSHIL) concept, which widens the focus from a device- to a system-oriented testing approach. Under this perspective, it is possible to evaluate holistically the impact of a given technology over the power system, considering all of its power and control components. This paper describes in detail the PSHIL architecture and its main hardware and software components. Three application examples, using the infrastructure available in the electrical engineering laboratory of the University of Sevilla, are included, remarking the new possibilities and benefits of using PSHIL with respect to previous approaches.

show abstract

Remote Laboratory Testing Demonstration

Cited by 16 publications

References 11 publications

Real-Time Coupling of Geographically Distributed Research Infrastructures: Taxonomy, Overview, and Real-World Smart Grid Applications

Real-Time Coupling of Geographically Distributed Research Infrastructures: Taxonomy, Overview, and Real-World Smart Grid Applications

Distributed Power Hardware-in-the-Loop Testing Using a Grid-Forming Converter as Power Interface

Power System Hardware in the Loop (PSHIL): A Holistic Testing Approach for Smart Grid Technologies

Contact Info

Product

Resources

About