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Probabilistic Risk Assessment of an Active Distribution Network Using Monte Carlo Simulation Approach | IEEE Conference Publication | IEEE Xplore

Probabilistic Risk Assessment of an Active Distribution Network Using Monte Carlo Simulation Approach

Publisher: IEEE

Abstract:

With rapid advancements in distribution networks, renewable distributed generation (DG) sources, such as wind and photovoltaic generators (PVGs), have gradually become pr...View more

Abstract:

With rapid advancements in distribution networks, renewable distributed generation (DG) sources, such as wind and photovoltaic generators (PVGs), have gradually become prominent. The addition of such DGs, increases the amount of uncertainty in an already dynamic system with uncertain loads. Risk is inherently associated with uncertainty. To account for uncertainties, probabilistic approaches can provide a significant contribution. This paper deals with the evaluation of probabilistic line overload risk assessment of an active distribution network, considering load and DG uncertainties. The modified IEEE 13-bus test system was used to evaluate line overload risk indices (LORIs) using the numerical Monte Carlo (MC) simulation approach. The conventional (N-1) security criterion was used for assessing risk indices. The lines were quantified, based on computed risk indices; and, consequently, system risk was computed. DIgSILENT PowerFactory software was used to conduct the required simulations.
Date of Conference: 13-15 October 2019
Date Added to IEEE Xplore: 17 February 2020
ISBN Information:
Publisher: IEEE
Conference Location: Wichita, KS, USA

I. Introduction

With the advent of renewable energy resources, the trend of using distributed generation (DG) has substantially increased. The conventional distribution networks are gradually moving towards active distribution networks. These systems intrinsically have many uncertainties, including load, generation, and incidence of contingencies [1]–[2]. These uncertainties may introduce risks, thereby, impeding the safe operation of the network. The aim of risk assessment is to evaluate the probable consequence of the unwanted events on a pre-selected system index. This index can be line overload, low voltage, or any other suitable quantity which is affected by the undesirable event. This index is commonly known as a risk index or risk evaluation indicator [3]. In short, risk in a power system is comprised of the possibility and severity of unwanted events. This idea was first suggested by The International Council on Large Electric Systems (CIGRE) [4].

References

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