Real-Time Testing Approaches for Microgrids

Vijay, A. S.; Doolla, Suryanarayana; Chandorkar, Mukul C.

doi:10.1109/jestpe.2017.2695486

Cited by 83 publications

(43 citation statements)

References 116 publications

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“…Usually, all researchers use off‐line (non‐real‐time) simulations for the early stage of their work because of low cost, ease of implementation, and safety of this method of simulations. However, because experimentation on a real laboratory scale hardware platform is not possible for microgrids with a high penetration level of RES and ever‐increasing complex systems with conflicting objectives, RT simulations would be the only option left for the next step studies . Different RT simulator technologies are discussed in Vijay et al and Dufour and Bélanger …”

Section: Real‐time Modeling and Simulationmentioning

confidence: 99%

“…However, because experimentation on a real laboratory scale hardware platform is not possible for microgrids with a high penetration level of RES and everincreasing complex systems with conflicting objectives, RT simulations would be the only option left for the next step studies. 79,80 Different RT simulator technologies are discussed in Vijay et al and Dufour and Bélanger. 80,81 Any models used for RT application must include two main capabilities including dynamic behavior evaluation and lower simulation time of given interval time than duration in the real world.…”

Section: A Real-time Modelingmentioning

confidence: 99%

“…79,80 Different RT simulator technologies are discussed in Vijay et al and Dufour and Bélanger. 80,81 Any models used for RT application must include two main capabilities including dynamic behavior evaluation and lower simulation time of given interval time than duration in the real world. Hence, a trade-off between the accuracy of the model and enough simplicity to have the capability to run RT must be taken into consideration in RT modeling of the microgrids.…”

Section: A Real-time Modelingmentioning

confidence: 99%

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A review on real‐time simulation and analysis methods of microgrids

Ahmadiahangar

Rosin

Niaki

et al. 2019

Int Trans Electr Energ Syst

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Summary Microgrid is a recently developed concept for future power systems. The main characteristics of the microgrid are the capability of integration of renewable energy sources and the ability to operate in two grid‐connected and islanded modes. A significant challenge of microgrid implementation is developing comprehensive control methods to ensure efficient, stable, and reliable operation. Real‐time studies are a promising approach in this case. In this paper, various real‐time energy management approaches have been thoroughly explained following a new categorization of them. A significant literature review of real‐time simulation and modeling methods has also been presented. A review of different applications of hardware‐in‐the‐loop testing of the microgrid is included in the present study. Finally, a discussion on demand for further research has been made. The presented work is organized to allow a reader to understand the importance of real‐time studies of microgrids and highlight trends in literary works without delving deeply into each one.

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Section: Real‐time Modeling and Simulationmentioning

confidence: 99%

Section: A Real-time Modelingmentioning

confidence: 99%

Section: A Real-time Modelingmentioning

confidence: 99%

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A review on real‐time simulation and analysis methods of microgrids

Ahmadiahangar

Rosin

Niaki

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

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“…In order to be able to work with these, different debugging techniques have emerged [1][2][3]. One of the most important is hardware-in-the-loop (HIL), which allows debugging part of the system, such as the power converters, accurately emulating the behavior of the final real system and saving time, money, and effort during the design process [4][5][6][7][8][9][10]. Recently, given the progress in digital electronics, the maximum switching frequencies that can be emulated in HIL have increased from tens to hundreds of kilohertz.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Resolution in Feedback Signals for Hardware-in-the-Loop Models of Power Converters

et al. 2019

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One of the main techniques for debugging power converters is hardware-in-the-loop (HIL), which is used for real-time emulation. Field programmable gate arrays (FPGA) are the most common design platforms due to their acceleration capability. In this case, the widths of the signals have to be carefully chosen to optimize the area and speed. For this purpose, fixed-point arithmetic is one of the best options because although the design time is high, it allows the personalization of the number of bits in every signal. The representation of state variables in power converters has been previously studied, however other signals, such as feedback signals, can also have a big influence because they transmit the value of one state variable to the rest, and vice versa. This paper presents an analysis of the number of bits in the feedback signals of a boost converter, but the conclusions can be extended to other power converters. The purpose of this work is to study how many bits are necessary in order to avoid the loss of information, but also without wasting bits. Errors of the state variables are obtained with different sizes of feedback signals. These show that the errors in each state variable have similar patterns. When the number of bits increases, the error decreases down to a certain number of bits, where an almost constant error appears. However, when the bits decrease, the error increases linearly. Furthermore, the results show that there is a direct relation between the number of bits in feedback signals and the inputs of the converter in the global error. Finally, a design criterion is given to choose the optimum width for each feedback signal, without wasting bits.

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“…As an advanced simulation technology, the PHIL method has been applied in many aspects. Due to the flexibility to provide various testing environment with low cost and risk, some PHIL platforms are specially designed for the control validation and testing of grid-connected inverters [4,5], motor drives [6,7], distributed energy resources (DERs) [8,9], and microgrids [10,11], etc. Based on the PHIL concept, many different kinds of converter-based emulators whose electrical behaviours are controlled to represent those of the models have been developed for the realistic and flexible testing, such as synchronous generator emulator [12], load emulator [13], induction motor load emulator [14], variable-speed wind turbine emulator [15], photovoltaic emulator [16], and energy storage emulator [17], etc.…”

Section: Introductionmentioning

confidence: 99%

Applications of Digital-Physical Hybrid Real-Time Simulation Platform in Power Systems

et al. 2018

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Digital-physical hybrid real-time simulation (hybrid simulation) platform integrates the advantages of both digital simulation and physical simulation by combining the physical simulation laboratory and the real-time digital simulator. Based on a 400 V/50 kVA hybrid simulation platform with 500 kVA short-circuit capacity, the hybrid simulation methodology and a Hausdorff distance based accuracy evaluation method are proposed. The case validation of power system fault recurrence is performed through this platform, and the stability and accuracy are further validated by comparing the hybrid simulation waveform and field-recorded waveform and by evaluating the accuracy with the proposed error index. Two typical application scenarios in power systems are studied subsequently. The static var generator testing shows the hybrid simulation platform can provide system-level testing conditions for power electronics equipment conveniently. The low-voltage ride through standard testing of a photovoltaic inverter indicates that the hybrid simulation platform can be also used for voltage standard testing for various power system apparatus with low cost. With this hybrid simulation platform, the power system simulation and equipment testing can be implemented with many advantages, such as short period of modelling, flexible modification of parameter and network, low cost, and low risk. Based on this powerful tool platform, there will be more application scenarios in future power systems.

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Real-Time Testing Approaches for Microgrids

Cited by 83 publications

References 116 publications

A review on real‐time simulation and analysis methods of microgrids

A review on real‐time simulation and analysis methods of microgrids

Analysis of Resolution in Feedback Signals for Hardware-in-the-Loop Models of Power Converters

Applications of Digital-Physical Hybrid Real-Time Simulation Platform in Power Systems

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