Power Hardware-in-the-Loop: Response of Power Components in Real-Time Grid Simulation Environment

Muhammad, Moiz; Behrends, Holger; Geißendörfer, Stefan; Maydell, Karsten von; Agert, Carsten

doi:10.3390/en14030593

Cited by 13 publications

(3 citation statements)

References 28 publications

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“…The new grid planning model requires detailed simulation of energy technologies in the whole process of energy production, processing and transformation, transportation and consumption, and studies the impact of technological substitution and technological progress on the resource consumption, emission and cost of the energy system, and requires that its planning results can reduce the total cost and achieve the optimal allocation of resources [20][21]. Its mathematical optimization model can be expressed as:…”

Section: New Grid Planning Modelsmentioning

confidence: 99%

Refined Urban Grid Simulation Planning Based on Low Carbon Goal Achievement

Tong,

Zhang,

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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In this paper, a new grid planning combined with low-carbon operation simulation is proposed, a new grid planning and low-carbon operation simulation model is proposed, and the new grid planning model is investigated and illustrated from the four dimensions of constraints. For the new grid simulation planning model, the solution efficiency of the new grid planning model combined with low-carbon operation simulation is improved by the time series clustering method and the extreme scenario identification method based on the amount of lost load. Starting from the low-carbon benefit dynamics of the generation side and the consumption side, a refined urban new grid low-carbon benefit dynamic evaluation model is constructed, while the model parameters and table functions are set, and the low-carbon urban grid simulation planning based on low-carbon simulation is empirically analyzed by means of simulation analysis. The results show that in grid planning, when the carbon emission intensity is 1000gCO2/kWh, the S4 scenario only needs to add an extreme scenario in the iterative process to achieve a relative error accuracy of 0.1%, and the method of using the new grid planning and the low-carbon operation simulation model is sufficient to achieve the target of the loss of load rate and carbon emission intensity. In the evaluation of the low-carbon effect, with the increase in investment amount, the installed capacity of clean energy and the total CO2 emission reduction of the refined urban grid will show two relatively obvious upward trends.

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Section: New Grid Planning Modelsmentioning

confidence: 99%

Refined Urban Grid Simulation Planning Based on Low Carbon Goal Achievement

Tong,

Zhang,

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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“…The amplifier controls the voltage applied, as decided by the voltage regulation model. Focusing on distribution grid stability, in [19], an innovative bench focusing on dynamic behavior simulation was presented. An extensive study was provided on the inaccuracies between the real devices and the virtual model.…”

Section: Related Literaturementioning

confidence: 99%

Realistic Load Modeling for Efficient Consumption Management Using Real-Time Simulation and Power Hardware-in-the-Loop

Faria

Vale

2022

Energies

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By empowering consumers and enabling them as active players in the power and energy sector, demand flexibility requires more precise and sophisticated load modeling. In this paper, a laboratory testbed was designed and implemented for surveying the behavior of laboratory loads in different network conditions by using real-time simulation. Power hardware-in-the-loop was used to validate the load models by testing various technical network conditions. Then, in the emulation phase, the real-time simulator controlled a power amplifier and different laboratory equipment to provide a realistic testbed for validating the load models under different voltage and frequency conditions. In the case study, the power amplifier was utilized to supply a resistive load to emulate several consumer load modeling. Through the obtained results, the errors for each load level and the set of all load levels were calculated and compared. Furthermore, a fixed consumption level was considered. The frequency was changed to survey the behavior of the load during the grid’s instabilities. In the end, a set of mathematical equations were proposed to calculate power consumption with respect to the actual voltage and frequency variations.

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“…Device under Test (DuT) [8,21], Equipment under Test (EuT) [20] or Physical Power System (PPS) [18] are seldom used. In contrast, Hardware under Test (HuT), is most common [6,[13][14][15][16]20,[22][23][24][25], therefore this abbreviation will be used in this paper. The virtual part of the system which has to be modeled and simulated in real time will be referred to as Real Time Simulation (RTS) in the following.…”

Section: Power Hardware-in-the-loop Simulation Of Electrical Energy S...mentioning

confidence: 99%

Stability Analysis of Power Hardware-in-the-Loop Simulations for Grid Applications

et al. 2021

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Power Hardware-in-the-Loop (PHiL) simulation is an emerging testing methodology of real hardware equipment within an emulated virtual environment. The closed loop interfacing between the Hardware under Test (HuT) and the Real Time Simulation (RTS) enables a realistic simulation but can also result in an unstable system. In addition to fundamentals in PHiL simulation and interfacing, this paper therefore provides a consistent and comprehensive study of PHiL stability. An analytic analysis is compared with a simulative approach and is supplemented by practical validations of the stability limits in PHiL simulation. Special focus is given on the differences between a switching and a linear amplifier as power interface (PI). Stability limits and the respective factors of influence (e.g., Feedback Current Filtering) are elaborated with a minimal example circuit with voltage-type Ideal Transformer Model (ITM) PHiL interface algorithm (IA). Finally, the findings are transferred to a real low-voltage grid PHiL application with residential load and photovoltaic system.

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Power Hardware-in-the-Loop: Response of Power Components in Real-Time Grid Simulation Environment

Cited by 13 publications

References 28 publications

Refined Urban Grid Simulation Planning Based on Low Carbon Goal Achievement

Refined Urban Grid Simulation Planning Based on Low Carbon Goal Achievement

Realistic Load Modeling for Efficient Consumption Management Using Real-Time Simulation and Power Hardware-in-the-Loop

Stability Analysis of Power Hardware-in-the-Loop Simulations for Grid Applications

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