A Connectivity Strategy for the Evaluation of Smart Grid Models Based on the Ethernet Technology

Authors

Keywords:

Distributed Generation, Embedded Systems, Ethernet, Lightweight TCP/IP Stack, Smart Grid, Hardware-in-the-loop

Abstract

A simulation strategy that enables data transmission between the modeled components of a Smart Grid is proposed in this paper. The proposed simulation strategy, referred to as the connectivity strategy, enables the integration of a physical communication network into Smart Grids simulations. The connectivity strategy comprises three steps: selection of Smart Grids functionality, data transmission over a TCP/IP network, and connectivity strategy evaluation. Each step is described to ensure transparency and reproducibility in Smart Grid simulations, addressing the limitations associated with the lack of specifications when a communication network is implemented into power systems simulations. Furthermore, a Hardware-in-the-loop (HIL) approach is presented for developing and evaluating the proposed connectivity strategy using the HIL technique. Through this approach, the strategy is validated by establishing the communication between simulation and embedded systems via a physical Ethernet network. In a case study, the use of the connectivity strategy to simulate a distribution system automation (DA) functionality is demonstrated. This simulation allows the evaluation of protection schemes in a Smart Grid using MATLAB/Simulink and a Texas Instruments development kit. Results show that the proposed connectivity strategy could estimate the communication delays for different simulation scenarios.

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Author Biographies

ANA ISABEL NARVAEZ VILLOTA, Universidad Nacional de Colombia

Ana Isabel Narváez Villota was born in Pasto, Colombia in 1994. She received the Bachelor’s degrees in Electronic Engineering in 2017 and Electrical Engineering in 2018, and a Master’s degree in Electrical Engineering in 2021 from the Universidad Nacional de Colombia, Manizales Campus. Her research interests include Smart Grids, Communications Networks, and Protection Coordination.

ARMANDO JAIME USTARIZ FARFAN, Universidad Nacional de Colombia

Armando J. Ustariz Farfán was born in Urumita (Colombia) in 1973. He received a bachelor’s degree in Electrical Engineer in 1997, and a Master’s in Electric Power in 2000 from the Universidad Industrial de Santander. He received the Ph.D. degree in Electrical Engineering at the Universidad Nacional de Colombia, in 2011. He is a researcher and associated professor with the Electrical, Electronic and Computer Engineering Department, at Universidad Nacional de Colombia, Manizales Branch. His research interests include Power Definitions Under Non-Sinusoidal Conditions, Smart Grids, Power Quality, and Power Electronic. He is the current director of the Power Quality and Power Electronics Research Group – GICEP.

LUIS FERNANDO DIAZ CADAVID, Universidad Nacional de Colombia

Luis Fernando Díaz Cadavid, is a Telecommunications Engineer with a Master of Science in Telecommunications Engineering degree from The Bonch-Bruevich Saint-Petersburg State University of Telecommunications- Russia, specialized in "Computing and Computation" at the University of Cantabria – Spain. He received the Doctorate degree in Engineering in 2015 from Universidad Nacional de Colombia. He is a researcher and associated professor with the Electrical, Electronic and Computer Engineering Department, at Universidad Nacional de Colombia, Manizales Branch. His research interests include Electromagnetic compatibility and Telecommunications networks. He is the current director of the Telematics and Telecommunications Research Group – GTT.

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Published

2024-06-16

How to Cite

NARVAEZ VILLOTA, A. I., USTARIZ FARFAN, A. J., & DIAZ CADAVID, L. F. (2024). A Connectivity Strategy for the Evaluation of Smart Grid Models Based on the Ethernet Technology. IEEE Latin America Transactions, 22(7), 581–590. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8657

Issue

Vol. 22 No. 7 (2024): Ordinary Issue

Section

Electric Energy

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