Internet-of-Things Hardware-in-the-Loop Simulation Architecture for Providing Frequency Regulation With Demand Response

Thornton, Matsu; Motalleb, Mahdi; Smidt, Holm; Branigan, John; Siano, Pierluigi; Ghorbani, Reza

doi:10.1109/tii.2017.2782885

Cited by 21 publications

(12 citation statements)

References 30 publications

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“…T HE increase in the penetration of distributed energy resources (DERs) has heightened the need for an energy management system focused on the intermittency of renewable generation and the application of demand-side management [1]. Demand response (DR) programs, as one of the most effective demand side management techniques, maintain demand and supply in balance [2], increase operational reliability [3] and provide other ancillary services [4].…”

Section: Setsmentioning

confidence: 99%

“…Equation ( 2) is approximated as a piecewise linear function similar to [31]. The third term shows the cost of trading energy with the main grid and is calculated by (4). The last term represents the dissatisfaction caused to the customers due to DR programs in the format of a financial loss and is calculated by (5) which consists of dissatisfaction caused due to the shifting of loads and dissatisfaction due to the scheduling of HVAC systems.…”

Section: A Ems Formulationmentioning

confidence: 99%

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Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids

Gholizadeh

Abedi

Nafisi

et al. 2022

IEEE Systems Journal

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Section: Setsmentioning

confidence: 99%

Section: A Ems Formulationmentioning

confidence: 99%

Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids

Gholizadeh

Abedi

Nafisi

et al. 2022

IEEE Systems Journal

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“…Testbed efforts in [12,20,[26][27][28][29][30][31] implement cyber intrusions such as MiTM. MiTM attacks can be performed in different ways such as address resolution protocol (ARP) cache poisoning, Internet protocol (IP) spoofing, or hypertext transfer protocol (HTTP) session hijacking, but this is not always presented.…”

Section: Testbeds and Platformsmentioning

confidence: 99%

Design and evaluation of a cyber‐physical testbed for improving attack resilience of power systems

Sahu

Wlazlo

Mao

et al. 2021

IET Cyber-Phy Sys Theory & Ap

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A power system is a complex cyber-physical system whose security is critical to its function. A major challenge is to model, analyse and visualise the communication backbone of the power systems concerning cyber threats. To achieve this, the design and evaluation of a cyber-physical power system (CPPS) testbed called Resilient Energy Systems Lab (RESLab) are presented to capture realistic cyber, physical, and protection system features. RESLab is architected to be a fundamental platform for studying and improving the resilience of complex CPPS to cyber threats. The cyber network is emulated using Common Open Research Emulator (CORE), which acts as a gateway for the physical and protection devices to communicate. The physical grid is simulated in the dynamic time frame using Power World Dynamic Studio (PWDS). The protection components are modelled with both PWDS and physical devices including the SEL Real-Time Automation Controller (RTAC). Distributed Network Protocol 3 (DNP3) is used to monitor and control the grid. Then, the design is exemplified and the tools are validated. This work presents four case studies on cyberattack and defence using RESLab, where we demonstrate false data and command injection using Man-in-the-Middle and Denial of Service attacks and validate them on a large-scale synthetic electric grid.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…This approach is attractive because a test system developed on a HIL-based platform allows actual controllers and devices to be tested with appropriate communication links in real-time. Thornton M et al [1] used internet-of-things and HIL simulation to construct a load node to represent part of the simulated system. Kim Y J et al [2] developed a power HIL testbed to analyze the effects of direct load control on real-time grid frequency regulation, where actual heat pumps and energy storage systems are used to mitigate load variations.…”

Section: Introductionmentioning

confidence: 99%

Networked HIL Simulation System for Modeling Large-scale Power Systems

Xie

McEntee

Zhang

et al. 2021

2020 52nd North American Power Symposium (NAPS)

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This paper presents a network hardware-in-theloop (HIL) simulation system for modeling large-scale power systems. Researchers have developed many HIL test systems for power systems in recent years. Those test systems can model both microsecond-level dynamic responses of power electronic systems and millisecond-level transients of transmission and distribution grids. By integrating individual HIL test systems into a network of HIL test systems, we can create large-scale power grid digital twins with flexible structures at required modeling resolution that fits for a wide range of system operating conditions. This will not only significantly reduce the need for field tests when developing new technologies but also greatly shorten the model development cycle. In this paper, we present a networked OPAL-RT based HIL test system for developing transmission-distribution coordinative Volt-VAR regulation technologies as an example to illustrate system setups, communication requirements among different HIL simulation systems, and system connection mechanisms. Impacts of communication delays, information exchange cycles, and computing delays are illustrated. Simulation results show that the performance of a networked HIL test system is satisfactory.

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Internet-of-Things Hardware-in-the-Loop Simulation Architecture for Providing Frequency Regulation With Demand Response

Cited by 21 publications

References 30 publications

Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids

Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids

Design and evaluation of a cyber‐physical testbed for improving attack resilience of power systems

Networked HIL Simulation System for Modeling Large-scale Power Systems

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