A Stable and Fast-Transient Performance Switched-Mode Power Amplifier for a Power Hardware in the Loop (PHIL) System

Sun, Jianjun; Yin, Chengliang; Gong, Jinwu; Chen, Yewei; Liao, Zhiqiang; Zha, Xiaoming

doi:10.3390/en10101569

Cited by 4 publications

(6 citation statements)

References 32 publications

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“…The power amplifiers (PA) can be realized using switchedmode amplifiers, linear amplifiers, and generators. Switched mode amplifiers are commonly used for PHIL applications ranging from small-scale up to mega watts range [1], [16], [17]. Linear amplifier has higher bandwidth as compared to switched mode PA.…”

Section: Itm Interfacementioning

confidence: 99%

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New Power Interface Based on Multi-Dimensional Golden Section Search Algorithm for Power-Hardware-in-the-Loop Applications

Constantine,

Lian,

Fan

et al. 2024

IEEE Access

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Power-Hardware-in-the-Loop (PHIL) is a kind of real-time simulation, capable of exchanging not just low-voltage, low current signals, but the power required by the power device under test (PDuT). PHIL requires a PDuT to be connected to a real-time digital power network simulator via a power interface (PI). There have been quite a few PIs proposed in the past. Among them, ideal transformer model (ITM) is the most commonly used due to its ease of implementation. Other PIs such as partial circuit duplication and damping impedance can be considered as an extended version of ITM. These PIs need to follow a strict impedance ratio between PDuT and the rest of the system prior to the PHIL implementation, which could be a tedious and difficult task. This paper proposed a new PI for PHIL based on multi-dimensional golden section search algorithm, which can eliminate such a constraint. The proposed method has been shown to have wider stability regions when PDuT is a passive device or active one such as an inverter based resource. Moreover, dynamic responses of the proposed method are similar to those of the ITM under stable conditions. The validity of the proposed method has been justified with offline simulation and experimental PHIL setups.INDEX TERMS Real-Time Simulation, Power Hardware-in-the-Loop (PHIL), Golden Section Search (GSS), Gauss-Seidel, Power Amplifier.

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Section: Itm Interfacementioning

confidence: 99%

“…Figs. 16 shows the PHIL results based on offline simulation for ITM and proposed method when R S = 15 Ω and R L = 10 Ω. The initial conditions setting for the ITM and the proposed method are as follows: For the ITM, I…”

Section: A Case 1: Ls >Llmentioning

confidence: 99%

New Power Interface Based on Multi-Dimensional Golden Section Search Algorithm for Power-Hardware-in-the-Loop Applications

Constantine,

Lian,

Fan

et al. 2024

IEEE Access

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show abstract

“…• Linear Amplifier: Furthermore, several research papers of new types of PA for PHIL purposes can be found in [96,98,[109][110][111][112][113]. Usually, these new systems are switched amplifier instead of linear amplifier, due to the fact that it is a more efficient technology and the specific and density power is clearly higher.…”

Section: Power Amplifiermentioning

confidence: 99%

A Review of PHIL Testing for Smart Grids—Selection Guide, Classification and Online Database Analysis

et al. 2020

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The Smart Grid is one of the most important solutions to boost electricity sharing from renewable energy sources. Its implementation adds new functionalities to power systems, which increases the electric grid complexity. To ensure grid stability and security, systems need flexible methods in order to be tested in a safe and economical way. A promising test technique is Power Hardware-In-the-Loop (PHIL), which combines the flexibility of Hardware-In-the-Loop (HIL) technique with power exchange. However, the acquisition of PHIL components usually represents a great expense for laboratories and, therefore, the setting up of the experiment involves making hard decisions. This paper provides a complete guideline and useful new tools for laboratories in order to set PHIL facilities up efficiently. First, a PHIL system selection guide is presented, which describes the selection process steps and the main system characteristics needed to perform a PHIL test. Furthermore, a classification proposal containing the desirable information to be obtained from a PHIL test paper for reproducibility purposes is given. Finally, this classification was used to develop a PHIL test online database, which was analysed, and the main gathered information with some use cases and conclusions are shown.

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“…In the electrical power sector, applications of HiL for testing and validating are growing. Sun et al [21] used a HiL system to study the dynamic performance of a switch-mode power amplifier. In [22] a power HiL system was introduced and used to evaluate a case study of a Great Britain network.…”

Section: Introductionmentioning

confidence: 99%

Hardware in the Loop Real-Time Simulation for Heating Systems: Model Validation and Dynamics Analysis

et al. 2018

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Heating systems such as heat pumps and combined heat and power cycle systems (CHP) represent a key component in the future smart grid. Their capability to couple the electricity and heat sector promises a massive contribution to the energy transition. Hence, these systems are continuously studied numerically and experimentally to quantify their potential and develop optimal control methods. Although numerical simulations provide time and cost-effective solutions for system development and optimization, they are exposed to several uncertainties. Hardware in the loop (HiL) approaches enable system validation and evaluation under different real-life dynamic constraints and boundary conditions. In this paper, a HiL system of a heat pump testbed is presented. It is used to present two case studies. In the first case, the conventional heat pump testbed operation method is compared to the HiL operation method. Energetic and dynamic analyses are performed to quantify the added value of the HiL and its necessity for dynamics analysis. In the second case, the HiL testbed is used to validate a model of a single family house with a heat pump participating in a local energy market. The energetic analysis indicates a deviation of 2% and 5% for heat generation and electricity consumption of the heat pump model, respectively. The model dynamics emphasized its capability to present the dynamics of a real system with a temporal distortion of 3%.

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A Stable and Fast-Transient Performance Switched-Mode Power Amplifier for a Power Hardware in the Loop (PHIL) System

Cited by 4 publications

References 32 publications

New Power Interface Based on Multi-Dimensional Golden Section Search Algorithm for Power-Hardware-in-the-Loop Applications

New Power Interface Based on Multi-Dimensional Golden Section Search Algorithm for Power-Hardware-in-the-Loop Applications

A Review of PHIL Testing for Smart Grids—Selection Guide, Classification and Online Database Analysis

Hardware in the Loop Real-Time Simulation for Heating Systems: Model Validation and Dynamics Analysis

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