A Stability Improvement Method of DC Microgrid System Using Passive Damping and Proportional-Resonance (PR) Control

: Sustainable energy, such as sunlight and wind energy, that comes from sources that do not need to be replenished has become important. Accordingly, the importance of the design and stable management of DC microgrids is also increasing. From this point of view, this paper analyzes the interaction between source and load converters constituting the DC microgrid using the derived mathematical input and output impedances models. This paper proposes a stability improvement method using the analyzed result. The method focuses on the presence or absence of input and output impedance overlap using Middlebrook’s stability criteria. To verify validity of the proposed method, a case study with three damping methods is conducted: (1) RC parallel damping with PR controller, (2) RL parallel damping with PR controller, and (3) RL series damping with PR controller. Additionally, the frequency domain characteristics and the Nyquist stability are analyzed using MATLAB, and simulation veriﬁcation is conducted using PSIM. Through the analysis and simulation results, we conﬁrm that the stability of the DC microgrid can be improved by applying the proposed method. The passive damping method analyzed in this paper is applied to an installed power converter, where it is possible to ensure the stability of the DC microgrid.


Introduction
Electrical energy is an essential resource for beings. However, gas emissions from power generation using fossil fuels causes global warming and environmental pollution problems that cannot be overlooked any more. To resolve this problem, the literature research on the production of electric energy using renewable energy sources such as solar and wind power with microgrids is being actively conducted [1][2][3]. Since a microgrid independently produces and supplies electrical energy using distributed energy sources, many studies on the management of microgrids have been conducted from the perspective of securing stability or improving effectiveness [4][5][6][7].
Microgrids can be classified into alternating current (AC) and direct current (DC) microgrids. DC microgrid systems can be designed with a simple power conversion step compared to AC microgrid systems. The simplified power conversion step operates with low power loss and is prone to control, as it does not require reactive power and frequency control [8,9]. In a DC microgrid system, as shown in Figure 1, several converters are connected into a common bus (CB). Each converter is individually designed to operate seamlessly. However, in a microgrid system in which several converters operate simultaneously, unexpected interactions between converters may occur, which adversely affect other converters connected to the common bus, resulting in instability of the entire system [10][11][12]. Therefore, there is a need for a method to prevent malfunctions between converters and improve the stability of the system. Various methods such as Middlebrook's stability criterion, Gain Margin Phase Margin (GMPM) stability criterion, the Opposing Argument Criterion (OAC), and Passivity-Based Stability Criterion (PBSC) have been proposed to determine stability of a microgrid system composed of several converters [13,14]. In these methods, the load converter is represented by the input impedance and the source converter is represented by the output impedance according to the direction of equalizing the converters constituting the system in the common bus. The stability of the system is determined using Middlebrook's stability criterion among the various methods mentioned above. This method has the advantage of being able to intuitively determine the stability through the presence or absence of overlapping of input impedance and output impedance on the Bode plot.
Several studies have been conducted to solve the system stability problem caused by the unexpected impedance overlap between converters, and there are active and passive methods [15][16][17][18]. The active method secures stability by adding only a controller to the conventional circuit without any auxiliary circuits or device additions on power flow [15,16]. This method has the advantage of no power loss, and it can simply correct the damping effect. However, this method has disadvantages: as control complexity increases, and an additional sensing circuit is required. The passive method applies the damping effect to the conventional circuit by adding a passive element on the power flow [17,18]. Although this method has the disadvantage of causing some power loss, it has the advantages of simple implementation and no need for additional sensing circuits or control loops.
While the stability due to impedance overlap should be considered internally in the DC microgrid system, the stability problem that occurs in connection with the AC grid should be considered externally. As shown in Figure 1, when the DC microgrid system is connected to the AC grid, the stability of the system becomes unstable due to the voltage and current distortion caused by the harmonics generated in the AC grid. Therefore, it is necessary to consider not only the unexpected interaction (impedance overlap) between converters, but also the effect of harmonics generated in the AC grid.
To solve stability issues, the proportional-resonance (PR) control method that reduces the harmonics effect from the AC grid is applied. In addition, passive damping methods such as resistor and inductor (RL) series, resistor and inductor (RL) parallel, and resistor and capacitor (RC) parallel are applied to reduce the malfunctioning interaction Various methods such as Middlebrook's stability criterion, Gain Margin Phase Margin (GMPM) stability criterion, the Opposing Argument Criterion (OAC), and Passivity-Based Stability Criterion (PBSC) have been proposed to determine stability of a microgrid system composed of several converters [13,14]. In these methods, the load converter is represented by the input impedance and the source converter is represented by the output impedance according to the direction of equalizing the converters constituting the system in the common bus. The stability of the system is determined using Middlebrook's stability criterion among the various methods mentioned above. This method has the advantage of being able to intuitively determine the stability through the presence or absence of overlapping of input impedance and output impedance on the Bode plot.
Several studies have been conducted to solve the system stability problem caused by the unexpected impedance overlap between converters, and there are active and passive methods [15][16][17][18]. The active method secures stability by adding only a controller to the conventional circuit without any auxiliary circuits or device additions on power flow [15,16]. This method has the advantage of no power loss, and it can simply correct the damping effect. However, this method has disadvantages: as control complexity increases, and an additional sensing circuit is required. The passive method applies the damping effect to the conventional circuit by adding a passive element on the power flow [17,18]. Although this method has the disadvantage of causing some power loss, it has the advantages of simple implementation and no need for additional sensing circuits or control loops.
While the stability due to impedance overlap should be considered internally in the DC microgrid system, the stability problem that occurs in connection with the AC grid should be considered externally. As shown in Figure 1, when the DC microgrid system is connected to the AC grid, the stability of the system becomes unstable due to the voltage and current distortion caused by the harmonics generated in the AC grid. Therefore, it is necessary to consider not only the unexpected interaction (impedance overlap) between converters, but also the effect of harmonics generated in the AC grid.
To solve stability issues, the proportional-resonance (PR) control method that reduces the harmonics effect from the AC grid is applied. In addition, passive damping methods such as resistor and inductor (RL) series, resistor and inductor (RL) parallel, and resistor and capacitor (RC) parallel are applied to reduce the malfunctioning interaction between converters. As mentioned above, the passive damping method has a disadvantage of increased loss compared to the active damping method; however, it has low control complexity and is relatively simple to apply to a pre-installed DC microgrid power converter. From this point of view, we performed a stability analysis based on passive damping. Each method was comparatively analyzed through a case study, and eventually, a method for selecting an appropriate passive damping was constructed.
For effective understanding, this paper is organized as follows: In Section 2, the output impedance of the source converter and the input impedance of the load converter are derived through impedance modeling of the converters. Section 3 includes the stability analysis and determination process of the system through impedance modeling. Section 4 presents a case study applying passive damping and a PR controller to improve system stability. Section 5 presents the simulation verification by using a simulation tool (PowerSim: PSIM), and Section 6 describes the conclusions of this paper.

Impedance Modeling Using g-Parameter
A DC microgrid system consists of several converters, as shown in Figure 1. The converters constituting the system are designed to operate stably during independent operation. However, when a stably operating converter is operated in conjunction, the stability of the system may deteriorate due to the interaction between the converters. Therefore, it is necessary to analyze the cause of the stability issue of the system. In this paper, to analyze the stability, impedance modeling for the converter composing the system is conducted using g parameters. Through impedance modeling using g parameters, it can be represented as an equivalent circuit for the converter, as shown in Figure 2, where g 11 is the open circuit input admittance, g 12 is the short circuit current transfer function, g 21 is the open circuit voltage transfer function, and g 22 is the short circuit output impedance [19]. The input and output transfer functions are obtained as shown in Equation (1).
When the DC microgrid system is simplified to a source converter and a load converter and applied to a cascaded system, the input and output relationship is expressed as Equation (2), which is shown in Figure 3, where g s 21 is the open circuit transfer function of the source converter and g L 21 is the open circuit transfer function of the load converter, which do not affect the stability. The denominator composed of the input impedance and the output impedance contains the characteristic equation of the system. This term is defined as the minor loop gain, T MLG , which is used to analyze the stability of the system. between converters. As mentioned above, the passive damping method has a disadvantage of increased loss compared to the active damping method; however, it has low control complexity and is relatively simple to apply to a pre-installed DC microgrid power converter. From this point of view, we performed a stability analysis based on passive damping. Each method was comparatively analyzed through a case study, and eventually, a method for selecting an appropriate passive damping was constructed. For effective understanding, this paper is organized as follows: In Section 2, the output impedance of the source converter and the input impedance of the load converter are derived through impedance modeling of the converters. Section 3 includes the stability analysis and determination process of the system through impedance modeling. Section 4 presents a case study applying passive damping and a PR controller to improve system stability. Section 5 presents the simulation verification by using a simulation tool (Pow-erSim: PSIM), and Section 6 describes the conclusions of this paper.

Impedance Modeling Using g-Parameter
A DC microgrid system consists of several converters, as shown in Figure 1. The converters constituting the system are designed to operate stably during independent operation. However, when a stably operating converter is operated in conjunction, the stability of the system may deteriorate due to the interaction between the converters. Therefore, it is necessary to analyze the cause of the stability issue of the system. In this paper, to analyze the stability, impedance modeling for the converter composing the system is conducted using g parameters. Through impedance modeling using g parameters, it can be represented as an equivalent circuit for the converter, as shown in Figure 2, where g11 is the open circuit input admittance, g12 is the short circuit current transfer function, g21 is the open circuit voltage transfer function, and g22 is the short circuit output impedance [19]. The input and output transfer functions are obtained as shown in Equation (1).
When the DC microgrid system is simplified to a source converter and a load converter and applied to a cascaded system, the input and output relationship is expressed as Equation (2), which is shown in Figure 3 do not affect the stability. The denominator composed of the input impedance and the output impedance contains the characteristic equation of the system. This term is defined as the minor loop gain, TMLG, which is used to analyze the stability of the system.

Modeling of Converter Input Impedance
The input impedance to the converter is obtained from the common bus in the direction facing the input terminal of the load converter, and this is the same direction as ZL_filter in Figure 3 [20]. The input impedance including the controller is as shown in Equation (3), and Zx_filter and Zy_filter constituting the input impedance are as shown in Equations (4) and (5), where, ZLf and ZCf are the impedances of the inductor and capacitor constituting the input filter, respectively; and Zx and Zy are the values composing the input impedance of the load converter without the input filter.
The loop gain TL is as shown in Equation (6), where Gid , L denotes the control to inductor current transfer function of the load converter [21].
In this paper, the buck converter is used as the load converter, and the input impedance for the buck converter, including the input filter, is obtained by substituting Equations (7) and (8)

Modeling of Converter Input Impedance
The input impedance to the converter is obtained from the common bus in the direction facing the input terminal of the load converter, and this is the same direction as Z L_filter in Figure 3 [20]. The input impedance including the controller is as shown in Equation (3), and Z x_filter and Z y_filter constituting the input impedance are as shown in Equations (4) and (5), where, Z Lf and Z Cf are the impedances of the inductor and capacitor constituting the input filter, respectively; and Z x and Z y are the values composing the input impedance of the load converter without the input filter.
The loop gain T L is as shown in Equation (6), where G id,L denotes the control to inductor current transfer function of the load converter [21].
In this paper, the buck converter is used as the load converter, and the input impedance for the buck converter, including the input filter, is obtained by substituting Equations (7) and (8) into Equation (3).

Modeling of Converter Output Impedance
The output impedance to the converter is obtained through the Thevenin equivalent circuit in the direction facing the output of the source converter from the common bus [22]. In this paper, the source converter is a buck converter, and the output impedance excluding the controller is The output impedance includes the controller (Equation (10)), where L s , C s , and R s represent the passive elements constituting the source converter. T s represents the loop gain of the source converter (Equation (11)), where G vd denotes control to output transfer function, C s (s) is the controller of the source converter, and G M is the pulse width modulation gain. Figure 4 shows the results of stability analysis using input impedance and output impedance. As can be seen from the figure, input and output impedance overlap does not occur in at 60% load, which means the system is stable according to Middlebrook's stability criterion in Equation (12) [23]. However, at a load of 80% or more, impedance overlap occurs, and the system becomes unstable. The impedance overlap is caused by the LC resonance of the converter, and an additional method for reducing it is required. (12) Sustainability 2021, 13, x FOR PEER REVIEW 6 of 17

Damping Method
The damping method is used to prevent ringing, oscillation, and divergence, which cause the system to become unstable. The damping method related to the phase margin and the gain margin is able to improve the stability of the system through appropriate

Damping Method
The damping method is used to prevent ringing, oscillation, and divergence, which cause the system to become unstable. The damping method related to the phase margin and the gain margin is able to improve the stability of the system through appropriate parameter tuning. To reduce the unexpected impedance overlap that causes the unstable condition between converters due to the LC of the converter, in this paper, a passive damping method, which is simple to design and implement, is applied [17]. The passive damping method is used for reshaping output impedance of the source converter, and the circuit diagram is as shown in Figure 5. When passive damping method is applied, the formula of output impedance is modified by the added passive elements. As shown in Figure 5a, when RC parallel damping is applied, the output impedance changed such as in Equation (13); when RL parallel damping is applied as shown in Figure 5b, the output impedance is changed such as in Equation (14); and when RL series damping is applied as in Figure 5c, the output impedance is changed as shown in Equation (15).
The modified output impedance with RC parallel, RL parallel, and RL series damping is obtained by substituting Equations (13)-(15) into Equation (10). In addition, PR control is adopted to reduce the harmonics generated when the AC grid is interlinked. PR control is added to the existing source converter controller as shown in Figure 6. The PR controller is expressed as Equation (16), and by setting the resonance frequency with ω n , and setting ζ p and ζ z , the magnitude at the resonance point can be varied, where ζ p and ζ z indicate a damping factor of the PR controller. The loop gain of the source converter to which the PR controller is added is denoted as Equation (17).

Case Analysis
By using the output impedance derived in the previous section, a case study was conducted on ways to improve the stability of the system by reducing the unexpected impedance overlap between converters and the effect of harmonics generated from AC grid. The adopted passive damping method is shown in Figure 5, and the PR controller added to the existing controller is shown in Figure 6.

RC Parallel Damping with PR Controller
Eigenvalue analysis was performed as shown in Figure 7 to select the resistor and capacitor values for proper RC parallel damping. Figure 7a shows the waveform when the resistance is fixed at 0.01 ohm and the capacitor is changed from 1 to 50 uF. Figure 7b shows the waveform when the capacitor is fixed at 300 uF and the resistance is changed from 0.01 to 50 ohm. As can be seen from the waveform, the pole becomes closer to the origin as the capacitor value increases. As the pole moves to the LHP, it has a higher damping effect, so a value farther from the origin should be selected. In addition, since the magnitude and loss of the passive element value are correlated, an appropriate value must be selected. Therefore, in this method, the resistor is 2 ohm and the capacitor is 300 uF. the waveform when the capacitor is fixed at 300 uF and the resistance is changed from 0.01 to 50 ohm. As can be seen from the waveform, the pole becomes closer to the origin as the capacitor value increases. As the pole moves to the LHP, it has a higher damping effect, so a value farther from the origin should be selected. In addition, since the magnitude and loss of the passive element value are correlated, an appropriate value must be selected. Therefore, in this method, the resistor is 2 ohm and the capacitor is 300 uF. The stability analysis result is shown in Figure 8. The impedance overlap is removed by the effect of RC parallel damping, and the gain is increased at a specific frequency by the effect of PR control. Therefore, the stability of the system is improved. In addition, in Figure 9, the stability of the system is analyzed through Nyquist stability analysis. The stability is determined according to whether the Nyquist contour wraps around (−1, 0) or not. Analyzing the Nyquist waveform in Figure 9, without the RC parallel circuit, the system is unstable because the Nyquist contour wraps around (−1, 0), whereas by applying RC parallel, the system does not wrap around (−1, 0), which means it is stable. The stability analysis result is shown in Figure 8. The impedance overlap is removed by the effect of RC parallel damping, and the gain is increased at a specific frequency by the effect of PR control. Therefore, the stability of the system is improved. In addition, in Figure 9, the stability of the system is analyzed through Nyquist stability analysis. The stability is determined according to whether the Nyquist contour wraps around (−1, 0) or not. Analyzing the Nyquist waveform in Figure 9, without the RC parallel circuit, the system is unstable because the Nyquist contour wraps around (−1, 0), whereas by applying RC parallel, the system does not wrap around (−1, 0), which means it is stable.

RL Parallel Damping with PR Controller
As shown in Figure 10, resistance and inductance values for proper RL parallel damping were selected through eigenvalue analysis. Figure 10a shows the waveform when the resistance is fixed at 0.01 ohm and the inductance is changed from 1 uH to 10 mH. Figure  10b shows the waveform when the inductance is fixed at 0.1 mH and the resistance is changed from 0.01 to 50 ohm. As can be seen from the waveform, the pole becomes closer to the origin as the values of inductance and resistance increase. As mentioned earlier, the damping effect is lower when the pole is closer to the origin, so to have a high damping effect, it is necessary to appropriately select a value far from the origin in consideration of the size and loss of the passive element. Therefore, the resistance value was selected to be 3 ohms and the inductance value to be 0.1 mH.

RL Parallel Damping with PR Controller
As shown in Figure 10, resistance and inductance values for proper RL parallel damping were selected through eigenvalue analysis. Figure 10a shows the waveform when the resistance is fixed at 0.01 ohm and the inductance is changed from 1 uH to 10 mH. Figure 10b shows the waveform when the inductance is fixed at 0.1 mH and the resistance is changed from 0.01 to 50 ohm. As can be seen from the waveform, the pole becomes closer to the origin as the values of inductance and resistance increase. As mentioned earlier, the damping effect is lower when the pole is closer to the origin, so to have a high damping effect, it is necessary to appropriately select a value far from the origin in consideration of the size and loss of the passive element. Therefore, the resistance value was selected to be 3 ohms and the inductance value to be 0.1 mH.
Sustainability 2021, 13, x FOR PEER REVIEW 10 of 17 Figure 11 shows the stability analysis by applying the previously selected RL parallel damping value. Due to passive damping and the PR controller, the impedance overlapping phenomenon is removed and the stability of the system is improved.   Figure 11 shows the stability analysis by applying the previously selected RL parallel damping value. Due to passive damping and the PR controller, the impedance overlapping phenomenon is removed and the stability of the system is improved.  From the figure, it is clearly seen that the input and output impedance overlapping phenomenon is removed. In addition, the stability of the system was checked through Nyquist stability analysis, as shown in Figure 12. As can be seen from the figure, when RL parallel damping is applied, since the Nyquist contour does not wrap (−1, 0), the system is stable. From the figure, it is clearly seen that the input and output impedance overlapping phenomenon is removed. In addition, the stability of the system was checked through Nyquist stability analysis, as shown in Figure 12. As can be seen from the figure, when RL parallel damping is applied, since the Nyquist contour does not wrap (−1, 0), the system is stable.

RL Series Damping with PR Controller
As with the previous methods, an appropriate damping value was selected through eigenvalue analysis, as shown in Figure 13. Figure 13a shows the waveform when the resistance is fixed at 0.01 ohm and the inductance is changed from 1 uH to 5 mH. Figure  13b shows the waveform when the inductance is fixed at 1 mH and the resistance is changed from 0.01 ohm to 5 ohm. As with the previously selected method, the value was selected to have an appropriate damping effect. Therefore, the resistance was selected as 1 ohm and the inductance was selected as 1 mH.

RL Series Damping with PR Controller
As with the previous methods, an appropriate damping value was selected through eigenvalue analysis, as shown in Figure 13. Figure 13a shows the waveform when the resistance is fixed at 0.01 ohm and the inductance is changed from 1 uH to 5 mH. Figure 13b shows the waveform when the inductance is fixed at 1 mH and the resistance is changed from 0.01 ohm to 5 ohm. As with the previously selected method, the value was selected to have an appropriate damping effect. Therefore, the resistance was selected as 1 ohm and the inductance was selected as 1 mH. eigenvalue analysis, as shown in Figure 13. Figure 13a shows the waveform when the resistance is fixed at 0.01 ohm and the inductance is changed from 1 uH to 5 mH. Figure  13b shows the waveform when the inductance is fixed at 1 mH and the resistance is changed from 0.01 ohm to 5 ohm. As with the previously selected method, the value was selected to have an appropriate damping effect. Therefore, the resistance was selected as 1 ohm and the inductance was selected as 1 mH.  Figure 14 shows the stability analysis by applying the selected RL series damping value. As can be seen from the figure, the impedance overlapping phenomenon is removed by the damping effect, and the gain is increased at a specific frequency by adopting the PR controller. Therefore, the stability of the system is improved. In the same manner  Figure 14 shows the stability analysis by applying the selected RL series damping value. As can be seen from the figure, the impedance overlapping phenomenon is removed by the damping effect, and the gain is increased at a specific frequency by adopting the PR controller. Therefore, the stability of the system is improved. In the same manner as previously described, Nyquist stability analysis was performed as shown in Figure 15, which shows the stability of the system is improved.
Sustainability 2021, 13, x FOR PEER REVIEW 12 of 17 as previously described, Nyquist stability analysis was performed as shown in Figure 15, which shows the stability of the system is improved.

Simulation Analysis
To verify the proposed method mentioned in the previous section, the same circuit as in Figure 3 was configured and simulation was performed. The parameters of the system are shown in Tables 1 and 2. Simulations were conducted for 60% load, 80% load, and

Simulation Analysis
To verify the proposed method mentioned in the previous section, the same circuit as in Figure 3 was configured and simulation was performed. The parameters of the system are shown in Tables 1 and 2. Simulations were conducted for 60% load, 80% load, and 100% load conditions. The simulation waveform without passive damping and PR control is shown in Figure 16. Referring to Figure 16, it operates stably under 60% load condition; however, it operates unstably under 80% and 100% load condition. To remove this unstable situation, passive damping and a PR controller were added, and Figure 17 shows the result. Figure 17a shows the waveforms when the PR controller and RC parallel damping were applied, Figure 17b shows the waveforms when the PR controller and RL parallel damping were applied, and Figure 17c shows the waveforms when the PR controller and RL series damping were applied.   In the cases of RC parallel and RL series damping shown in Figure 17a,c, it is seen that the input and output impedance overlapping phenomenon is removed, so voltage and current ripples are remarkably reduced, and harmonics are drastically reduced because of the PR controller. In the case shown in Figure 17b, the current ripple is significantly reduced compared to the load of 80% or more in Figure 16; however, the voltage ripple is almost the same.
From the FFT analysis results in Table 3, it is seen there is a large harmonics reduction in decreasing order of RL parallel damping, RL series damping, and RC parallel damping. Through the FFT analysis, the harmonic attenuation rate of each damping method was compared to the conventional method. The harmonics decreased by 85.3% when RC parallel damping was applied, 93.3% when RL parallel damping was applied, and 85.6% when RL series damping was applied. The stability of the system was analyzed using T MLG , which is the ratio of input and output impedances in a Bode plot [12,13]. As can be seen from the waveform, without applying the damping method in Figure 18, the gain margin exceeds 0 dB. This means that the system is unstable because it corresponds to the unstable condition of Middlebrook's stability criterion in Equation (12). On the other hand, when RC parallel, RL series, and RL parallel damping methods were applied, the gain margin was below 0 dB at the same point, which means the system was stable. Through this waveform, it can be confirmed RL parallel damping has relatively higher stability than when RC parallel and RL series damping are applied.    Table 4 summarizes each damping effect through the simulation results. In short, by adopting the passive damping, the stability of the system is improved. Based on the results analyzed in this paper, if the passive damping method is applied to pre-installed microgrid power converters, it is possible to ensure the stability of the entire system according to the increase in the load and the facilities. In addition, if the active damping method described in the previous studies [12,15,16] is applied to newly installed power converters, a synergy effect in terms of securing stability can be achieved and loss problem will also be alleviated.

Conclusions
This paper analyzed the situation in which the system becomes unstable due to the unexpected impedance overlap between the converters constituting the DC microgrid system and the harmonics generated from AC grid. In addition, with the analysis, this paper presented a methodology to improve the system stability. To analyze the system, the stability of the system was determined by applying Middlebrook's stability criterion and Nyquist analysis in the frequency domain. As a result of the analysis, we confirmed that there is no abnormality in the stability of the system under light load conditions, whereas when the load increases, the system becomes unstable due to impedance overlap.
In order to improve the stability of the system, RC parallel, RL parallel, and RL series passive damping methods were adopted to remove impedance overlap, and PR control was also adopted for reducing the effect of harmonics from the AC grid. The difference of each damping method was analyzed by performing a case study. In the case studies, the eigenvalue was used when selecting damping parameters taking into account the stability and loss of the system. The performance of each damping method was compared using simulation. It was confirmed that the performance of RL parallel damping was good in the case of harmonic and current ripple reduction, and the performance of RC parallel and RL series was good in voltage ripple reduction. The harmonics decreased by 85.3% when RC parallel damping was applied, 93.3% when RL parallel damping was applied, and 85.6% when RL series damping was applied.
In short, passive damping mentioned in this paper is an effective method for improving the stability of grid-tied power supplies. Though this method has disadvantages including cost and loss, it has the advantage of simple implementation, having no need for additional sensing circuits or control loops, and can be applied to pre-installed power converters. The passive damping method analyzed in this paper was applied to an installed power converter, and it was possible to secure the stability of the microgrid, which is gradually expanding in scale.