# High frequency input impedance modeling of low-voltage residential installations - influence on lightning overvoltage simulations results

- Welson Bassi
^{1}Email author

**Received: **30 July 2014

**Accepted: **17 November 2014

**Published: **25 November 2014

## Abstract

The overvoltage level of a system is strongly dependent on the connected loads and with more precise models, better and more reliable simulation results are obtained. This paper presents the input impedance characteristics, measured over a wide range of frequencies, of various actual low-voltage residential installations. The measured frequency responses were fitted by effective RLC models and a general model was also developed. The range of frequencies considered in the study, nearly d.c. up to 5 MHz, allows the use of these models for lightning or switching studies. It is also presented overvoltage simulations, using different residential installations models presented in the paper, of a distribution network subjected to lightning surges on the medium voltage circuit.

## Keywords

## Background

Surges caused by lightning or switching events can cause upset or damage on electrical and electronic equipment inside low-voltage installations. The increasing utilization of sensitive equipment enhanced the problem over the last recent years and, as a consequence, more relevance is being given to the actions involving protection of such equipment.

Digital simulation using transient computational software is a powerful tool for evaluation of the transient levels of a certain system or network and alternatives for overvoltage mitigation. However, the simulations demand for using models to adequately represent all the components of the system under observation.

The actual behavior of the overvoltages in a system or installation is strongly dependent on the connected loads and with more precise models, more realistic and reliable simulation results are obtained.

Overvoltage studies can present a considerable variety of possibilities of modeling of low-voltage power installations (LVPI) in distribution systems, either in laboratory experimental setups or in digital simulations. In (Mcmillen et al. 1988; Dugan and Smith 1988; Smith and Puri 1988; Goedde et al. 1992; Hosfet et al. 1992; Standler 1992 and Mirra et al. 1997) the consumers are represented by lumped resistances or capacitances or simple association of them. In (Borghetti et al. 2005) it was used the matching impedance of the low-voltage line for representing the consumers. In (Sekioka et al. 2010a, Sekioka et al. 2010b) the home installations were represented by the surge protective devices (SPD) in them. A model based on real measurements of a sole installation was used when simulating the induced voltages on low-voltage networks in (Hoidalen 1998).

The representation of the consumer installations connected to the secondary distribution networks really presents difficulties that make virtually impossible to draw up absolute models perfectly fitted to the conditions found in reality. However, it is possible to obtain simple models adjusted to an overall behavior observed in tests and measurements.

This paper aims to present the models development and a sensitive evaluation of overvoltage at LVPI entrances, in the case of a direct lightning strike to the medium voltage (MV) network, depending upon the adopted model for the low-voltage consumer installations.

## Methods

The installation under test was disconnected from the a.c. utility power system remaining all the fixed appliances (e.g. TV, refrigerator, stereo, desktop computer etc.) connected to the internal outlets. This powered off condition of the house equipment represents just some slight variations on their input impedance for frequencies up to 10 MHz (Chen et al. 2011).

Five low-voltage installations, with essentially the same constructive arrangement, 2.5 mm^{2} to 4 mm^{2} PVC insulated conductors through conduits inside brick walls, were tested:

Installation #1, apartment with approximately 90 m^{2}, with the following equipment connected: refrigerator, microwave oven, dish washer machine, washer machine, wireless telephone, TV set 29”, TV set 14”, desktop computer, stereo and DVD player;

Installation #2, house with approximately 120 m^{2}, with the following equipment connected: refrigerator, microwave oven, washer machine, TV set 20”, stereo and DVD player;

Installation #3, apartment with approximately 60 m^{2}, with the following equipment connected: refrigerator, microwave oven and TV set 20”;

Installation #4, house with approximately 150 m^{2}, with the following equipment connected: refrigerator, freezer, microwave oven, dish washer machine, washer, wireless telephone, TV set 29”, TV set 20”, desktop computer, stereo and DVD player;

Installation #5, apartment with approximately 75 m^{2}, with the following equipment connected: refrigerator, microwave oven, TV set 20” and washer.

## Results

### Input impedance measurement and models

The models were developed observing the break frequencies on the impedance frequency curves and adjusting them accordingly using RLC elements or groups for reproducing those frequencies.

Due to the variety of internal configurations there are dissimilarities on the measured input impedance among the several installations. However, a similar overall behavior of the curves is observed: in the range of lower frequencies the input impedance has predominantly a capacitive characteristic and for higher frequencies the impedance presents an inductive behavior.

This aspect of the input impedance over the range of frequencies up to 5 MHz can be taken into consideration for proposing an approximate and simple general model for the installations, to be used in the computational simulations.

*H*of

*n*positive real numbers

*x*

_{ 1 }

*, x*

_{ 2 }

*, …, x*

_{ n }is defined:

### Application

In order to evaluate the influence of the consumer’s representation, computational simulations were performed with different models for representing the consumer’s installations of a low-voltage distribution system. The overvoltages caused by direct impact of lightning on the medium voltage circuit were calculated, using the ATP – Alternative Transient Program.

**Simulated cases**

Simulation case | Consumers installation model |
---|---|

#1 | installation #1 as per Figure 3 |

#2 | installation #2 as per Figure 4 |

#3 | installation #3 as per Figure 5 |

#4 | installation #4 as per Figure 6 |

#5 | installation #5 as per Figure 7 |

#6 | general model as per Figure 9 |

#7 | TN model |

#8 | resistance of 100 Ω |

#9 | capacitance of 4 nF |

#10 | inductance of 5 μH |

**Frequency distribution of the number of overvoltage observations where the indicated values are exceeded**

Simulation case | 90% | 50% | 10% |
---|---|---|---|

#1 | 4 kV | 6 kV | 10 kV |

#2 | 2 kV | 6 kV | 10 kV |

#3 | 4 kV | 6 kV | 10 kV |

#4 | 4 kV | 6 kV | 10 kV |

#5 | 4 kV | 10 kV | 20 kV |

#6 | 4 kV | 6 kV | 10 kV |

#7 | 1 kV | 1 kV | 6 kV |

#8 | 2 kV | 10 kV | 20 kV |

#9 | 6 kV | 20 kV | 20 kV |

#10 | 1 kV | 2 kV | 6 kV |

Despite the differences in the waveforms, the frequencies of occurrence of the overvoltage peak values for cases #1 to #6 are similar. Thus, the general model used in case #6 can be considered as representative of the particular group of measured installations of cases #1 to #5.

One can observe the oscillatory behavior in the calculated overvoltages of cases #1 to #6, with the dominant characteristics regarding the first rise time and range of frequency quite similar to the damped oscillatory ring wave test waveform defined in (IEEE The Institute of Electrical and Electronics Engineers 2002) which was prescribed after evaluating extensive data collection of real surge recordings during several years in many installations. This similarity leads to presume a realistic scenario for the calculated results using models based on measurements.

For the resistive model of case #8 (Figure 18), the calculated overvoltages do not present significant oscillations, given the dissipative character of the loads. The model of case #7 (Figure 17) and the lumped inductance of 5 μH of case #10 (Figure 20) leads to smaller peak values, and, on the contrary, for the model of case #9 (Figure 19) the overvoltages present high values and oscillations of elevated frequency, with a significantly different behavior from that of the other models.

If parallel buildings are supplied by the same supply transformer this will decrease the overall earthing impedance of the low voltage supply system. A lower earthing impedance of the low voltage supply system could results in higher impulse currents flowing on it.

## Conclusions

Models for representing residential low-voltage installations were developed. These models can be used in transient simulations software to evaluate switching and lightning overvoltages in distribution systems.

A particular or individual installation can be modelled with good matching with the measurements. Modelling all individual installation will not be feasible, but general simple RLC models for groups or installations categories would be reasonable to be developed, as the presented general proposed model.

It must be emphasized that modelling of consumer’s installations is not a simple task and involves difficulties: the large variety of configurations and equipment and the dynamic behavior of the loads intraday and due to seasonality.

The results presented in this study, in some cases, show a remarkable variation of peak values and the resulting waveforms for different models affecting the overvoltage evaluation of the system under observation. This aspect justifies the importance of utilization of models based on real measurements which tends to lead more realistic results and increases the reliability of the simulation processes.

## Declarations

## Authors’ Affiliations

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