# Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method

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## Abstract

**:**

## 1. Introduction

## 2. Modeling of a PHIL System

#### 2.1. PHIL System Model

_{s}(s) is placed in series with a grid impedance Z

_{s}(s) on the OPS side. The load Z

_{l}(s) is the equivalent load on the HUT side. To facilitate the simulation, a voltage amplifier reproduces the simulated voltage U

_{in}(s) as a physical voltage U

_{out}(s) and imposes it on the load resistor. The actual current i

_{out}(s) drawn by the resistor is measured, and the measured signal is fed back into the simulated circuit by a current source producing a current i

_{in}(s). The main procedures for a PHIL simulation is described as follows.

_{c}(s) based on the Proportion Integration (PI) controller is proposed. G

_{c}(s) can be formulated as

_{c}for the PA inverter is added to the system. The digital controller of the PA is subject to a computation delay, a pulse-width modulation (PWM) delay and other delay components, which can be represented by G

_{d}(s). K

_{PWM}represents the transfer function of the inverter. Thus, the transfer function of the PA can be formulated as

_{DA}(s) includes a small time delay T

_{d}, and it can be formulated as

_{IE}(s) represents the combination of G

_{DA}(s) and G

_{PA}(s):

_{in}(s) can be amplified into output voltage U

_{out}(s) through the IE. The output voltage U

_{out}(s) imposes on the HUT, which is formulated as

_{l}(s) can be converted into a combined impedance Z

_{lc}(s) that includes G

_{IE}(s). Thus, the impedance model illustrated in Figure 6 is obtained. The stability and accuracy analysis based on this model are described as followings.

#### 2.2. Stability Analysis

_{s}(s) and 1/Z

_{s}(s) are stable; therefore, the stability of the current depends on the stability of the second term on the right-hand side of Equation (10). The stability of the system can be estimated from the following equation:

_{lc}(s) and Z

_{s}(s) determine the stability of the PHIL system. According to [42], if the frequency responses of Z

_{s}(s) and Z

_{lc}(s) intersect at f

_{i}, then the phase margin (PM) must be positive (PM > 0°). Thus, PM is formulated as

_{lc}(s). To this end, the magnitude and phase margin of the combined impedance Z

_{lc}(s) are increased near the intersection frequency.

#### 2.3. Accuracy Evaluation

_{lc}(s) to the actual impedance Z

_{l}(s). Because most of the errors in such a system arise from the IE, the impedance error is calculated based on the HUT subsystem, where the combined impedance Z

_{lc}(s) is the most important component in terms of accuracy. The impedance error E(s) can be evaluated as follows:

## 3. Proposal to Improve the Stability and Accuracy of PHIL Simulations

_{lc}(s) can be shaped by means of the VI. Thus, the accuracy of a PHIL simulation can be enhanced by introducing a paralleling impedance to shape the combined impedance Z

_{lc}(s).

_{cp}(s).

_{eq}(s) becomes

_{lc}(s), it is necessary to make the impedance Z

_{eq}(s) equal to the impedance Z

_{l}(s). Thus, the impedance Z

_{cp}(s) can be derived as follows:

_{EP}(s) does not alter the PHIL system topology, it simply requires the insertion of a function block in the path of the feedback current signal to compensate for the error in the PHIL system. The equivalent transfer function can be calculated as follows:

_{cp}(s) may still intersect with impedance Z

_{s}(s) in the high-frequency range. Thus, an additional series virtual impedance is proposed. Figure 10 shows the structure of the PHIL system with the addition of a series impedance Z

_{cs}(s).

## 4. Experimental Verification

#### 4.1. Description of the PHIL Platform

_{o}= 0.2 mH and C

_{o}= 60 μF. A PI controller is used as the output voltage regulator, with parameters of K

_{P}= 6 and K

_{i}= 200, and the active damping regulator applies a damping factor of K

_{c}= 5. A total time delay of 100 μs is assumed for the IE. For further analysis and comparison, the voltages are represented as per-unit (p.u.) values.

**Stability Analysis:**The original circuit for the first scenario was simulated using the PHIL model as shown in Figure 14. It can be assumed that impedance Z

_{s}is a combination of inductor L

_{s}and resistor R

_{s}and that impedance Z

_{l}is a combination of inductor L

_{l}and resistor R

_{l}. The effects of different values of inductor L

_{s}and inductor L

_{l}on the simulation stability were investigated. Table 1 shows the simulation parameters used in the analysis.

_{s}(s) and the impedance Z

_{l}(s) are set using the simulation parameters, which are shown in Table 1. The combined impedance Z

_{lc}(s) and the compensated impedance Z

_{lc}′(s) can be calculated using Equations (18) and (19):

_{s}(s), the impedance Z

_{l}(s), the combined impedance Z

_{lc}(s), and the compensated impedance Z

_{lc}′(s) are shown in Figure 15.

_{s}(s) and the uncompensated impedance Z

_{lc}(s) approaches 180° when inductor L

_{s}is greater than or equal to inductor L

_{l}, indicating that the PM is negative (PM < 0°). Thus, the PHIL simulation is unstable. By contrast, when inductor L

_{s}is smaller than inductor L

_{l}, the simulation is stable. Figure 15c shows that in Case 3, there is no frequency intersection in the high-frequency range, as estimated using the impedance model. It is found that the compensated impedance Z

_{lc}′(s) and impedance Z

_{s}(s) lead to critical stability. Thus, the stability of PHIL simulations can be improved using the VI method.

**Accuracy Analysis:**To describe the accuracy of the PHIL simulation without compensation, Equation (13) can be simplified to

#### 4.2. Experimental Results

#### **Scenario 1: Hardware with Linear Behavior**

_{l}and inductor L

_{s}, and the output voltage waveforms and simulation errors for two cases are shown in Figure 17 and Figure 18. Figure 17a and Figure 18a show that the uncompensated PHIL simulation is unstable when inductor L

_{s}≥ L

_{l}, whereas Figure 17b and Figure 18b show that the stability is significantly improved using the VI method.

#### **Scenario 2: Hardware with Nonlinear Behavior**

## 5. Conclusions

## Acknowledgments

## Author Contributions

## Conflicts of Interest

## References

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**Figure 7.**Equivalent circuit for the PHIL simulation system with a paralleling virtual impedance (VI).

**Figure 8.**Transfer function diagram of the PHIL system: (

**a**) s-domain model; (

**b**) equivalent transformation I; (

**c**) equivalent transformation II.

**Figure 14.**Topology used in the first PHIL simulation scenario, with a linear resistance/inductor (RL) load circuit.

**Figure 15.**Frequency responses of different impedances Z

_{s}(s) and Z

_{l}(s), the combined impedance Z

_{lc}(s), and the compensated impedance Z

_{lc}′(s): (

**a**) Case 1; (

**b**) Case 2; and (

**c**) Case 3.

**Figure 17.**Scenario 1 simulation with L

_{s}= 2 mH, R

_{s}= 2 Ω, L

_{l}= 2 mH, and R

_{l}= 2 Ω: (

**a**) uncompensated output voltage waveform and (

**b**) compensated output voltage waveform.

**Figure 18.**Scenario 1 simulation with L

_{s}= 4 mH, R

_{s}= 2 Ω, L

_{l}= 2 mH, and R

_{l}= 2 Ω: (

**a**) uncompensated output voltage waveform; (

**b**) compensated output voltage waveform.

**Figure 19.**Scenario 1 simulation with L

_{s}= 2 mH, R

_{s}= 2 Ω, L

_{l}= 4 mH, and R

_{l}= 2 Ω: (

**a**) uncompensated output voltage and error waveforms; (

**b**) compensated output voltage and error waveforms; (

**c**) magnified view of output voltage error waveforms.

**Figure 21.**Scenario 2 simulation with R

_{s}= 2Ω, L

_{l}= 1 mH, C

_{l}= 10 mF, and R

_{l}= 8 Ω: (

**a**) uncompensated output voltage and error waveforms; (

**b**) compensated output voltage and error waveforms; and (

**c**) view of output voltage error waveforms.

Parameter | Value | Parameter | Value |
---|---|---|---|

R_{s} | 2 Ω | R_{l} | 2 Ω |

L_{s} | Case (1): 2 mH | L_{l} | Case (1): 2 mH |

Case (2): 4 mH | Case (2): 2 mH | ||

Case (3): 2 mH | Case (3): 4 mH |

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**MDPI and ACS Style**

Zha, X.; Yin, C.; Sun, J.; Huang, M.; Li, Q. Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method. *Energies* **2016**, *9*, 974.
https://doi.org/10.3390/en9110974

**AMA Style**

Zha X, Yin C, Sun J, Huang M, Li Q. Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method. *Energies*. 2016; 9(11):974.
https://doi.org/10.3390/en9110974

**Chicago/Turabian Style**

Zha, Xiaoming, Chenxu Yin, Jianjun Sun, Meng Huang, and Qionglin Li. 2016. "Improving the Stability and Accuracy of Power Hardware-in-the-Loop Simulation Using Virtual Impedance Method" *Energies* 9, no. 11: 974.
https://doi.org/10.3390/en9110974