Modeling of a Reciprocating Engine-Generator Set for Controller-Hardware-in-the-Loop Testing of Island Microgrid Control Systems

Westman, Jan; Hadidi, Ramtin; Fox, J. Curtiss; Leonard, Jesse

doi:10.1109/tia.2021.3067853

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…2 based on Refs. [16–18]. The transfer functions for the control system and the actuator are as follows:

G_{1} false(s false) = \frac{- false(0.2 s + 1 false)}{0.0002 s^{2} + 0.01 s + 1}

G_{2} false(s false) = \frac{0.25 s + 1}{0.0003456 s^{2} + 0.0474 s + 1}

…”

Section: Microgrid Modelmentioning

confidence: 99%

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A Coordinated Frequency Control in Microgrid Based on Asymmetric Synthetic Inertia Considering Rotational Speed of Wind Turbine

Tsuji

2023

IEEJ Transactions Elec Engng

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Frequency regulation is an important issue in isolated microgrids with inertia‐less variable renewable energy sources such as wind turbines (WTs) or photovoltaics (PVs) due to the small inertia of the overall system. Synthetic inertia control (SI) using the kinetic energy of WT can provide the microgrid with virtual inertia to mitigate frequency fluctuations. In order to improve the performance of SI, the authors have proposed an asymmetric synthetic inertia control (ASI) in which the virtual moment of inertia is alternating depending on the system frequency and the rate of change of frequency. By increasing the control gain only when the system frequency is moving away from the nominal value, it is expected that ASI contributes to the faster convergence of frequency control. However, another issue is interference between ASI and the rotational speed control for maximum power point tracking of WT. Hence, in this study, a coordinated frequency and rotational speed control strategy was proposed. The rotational speed control can be activated based on a mode‐switching logic when the interference does not occur. The effectiveness of the proposed control strategy was verified by numerical simulations using a microgrid model consisting of diesel engine generators, WTs, a photovoltaic, and a load. © 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…2 based on Refs. [16–18]. The transfer functions for the control system and the actuator are as follows:

G_{1} false(s false) = \frac{- false(0.2 s + 1 false)}{0.0002 s^{2} + 0.01 s + 1}

G_{2} false(s false) = \frac{0.25 s + 1}{0.0003456 s^{2} + 0.0474 s + 1}

…”

Section: Microgrid Modelmentioning

confidence: 99%

“…2 based on Refs. [16][17][18]. The transfer functions for the control system and the actuator are as follows:…”

Section: Diesel Engine Generator De Belongs To the Class Ofmentioning

confidence: 99%

A Coordinated Frequency Control in Microgrid Based on Asymmetric Synthetic Inertia Considering Rotational Speed of Wind Turbine

Tsuji

2023

IEEJ Transactions Elec Engng

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“…The simulation results showed that the proposed method can effectively improve the frequency stability of the power system, and the virtual synchronous generator control technology given the genetic algorithm is highly effective. Westman et al 7 conducted in the loop testing of controller hardware for microgrid control systems, built models based on real engine generator sets from manufacturer data, and verified the developed models. They found that on the basis of integrated controller hardware, unnecessary time spent on generator set frequencies and other costs can be avoided, which is beneficial to saving the processing power of the simulator.…”

Section: Introductionmentioning

confidence: 99%

Early warning of the abnormal response of the generator set electrical control based on SIP concept

Li¹

2023

Adv Control Appl

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An early warning method based on Session Initiation Protocol (SIP) concept for generator set electrical control abnormal response is proposed. The first is to clean the electrical data of the generator set by SIP. Using Supervisory Control and Data Acquisition (SCADA) and Generalized Linear Models (GLM) algorithm, a linear model is constructed to analyze the electrical control of generating units. Using the Autoregressive Integrated Moving Average Model (ARIMA), an abnormal response early warning model for electrical control of generating units is established. BP neural network is used to train the abnormal response data of the generator set electrical control. According to the current response data, the model prediction is realized, and the early warning of the abnormal response of the generator set electrical control is effectively realized. The simulation results show that the proposed method can effectively reduce the early‐warning error, false alarm rate, and early‐warning delay of generator electrical control abnormal response.

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“…[89] proposed an innovative primary frequency control method for regulating the frequency of an islanded microgrid in the context of smart grids. [90] demonstrated the modeling of a real engine-generator set for use in CHiL testing of microgrid control systems. [91] presented an architecture that integrates iterative optimization processes with real-time modeling for HiL validation.…”

Section: Related Workmentioning

confidence: 99%

Cyber resilience enhancement for microgrid digitalization

Dai

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First and foremost, profound gratitude is directed to Prof. Xu Yan for his unwavering support, constant encouragement, and invaluable guidance. Prof. Xu's passion and wisdom have not only instilled in me a genuine curiosity about our field but have also provided invaluable insights into the essence of research.His meticulous feedback on papers and detailed guidance on research methodologies have been instrumental.My appreciation extends to the School of EEE at Nanyang Technological University for the generous PhD offer, cutting-edge research facilities, and abundant opportunities. Collaborations with esteemed institutions such as Rolls-

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Modeling of a Reciprocating Engine-Generator Set for Controller-Hardware-in-the-Loop Testing of Island Microgrid Control Systems

Cited by 8 publications

References 8 publications

A Coordinated Frequency Control in Microgrid Based on Asymmetric Synthetic Inertia Considering Rotational Speed of Wind Turbine

A Coordinated Frequency Control in Microgrid Based on Asymmetric Synthetic Inertia Considering Rotational Speed of Wind Turbine

Early warning of the abnormal response of the generator set electrical control based on SIP concept

Cyber resilience enhancement for microgrid digitalization

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