Search

This paper describes a method to apply a generalized systematic approach, useful to identify the faults' effect on load points' reliability accounting for intentional islanding, with either random or sequential Monte Carlo simulation (RMCS, SMCS) in order to assess distribution system reliability in smart grids. Moreover, a simple RMCS based on an annual branch fault probability, which correlates with the branch fault frequency, is described as well. A study case is presented to validate the results (in terms of expected reliability indices) of the proposed method in comparison with the analytical one. Further, other useful information, such as the best and worst results as well as the probability distribution of load-point annual outages number and duration is presented too. Finally, the results show that islanding positively affects reliability and then it could became a standard practice provided that the main technical issues are addressed. [ABSTRACT FROM PUBLISHER]

Telecontrol of distribution switching devices is recognized as a major means for reducing interruption duration after a fault occurrence in modern distribution systems, since it allows one to isolate the faulted sections and to restore the healthy ones as quickly as possible. In order to reduce interruption frequency as well, it is necessary to increase the number of series automatic circuit breakers. Further benefits in terms of service continuity improvement can be obtained by allowing islanded operation of relatively small portions of distribution network (microgrids) in the presence of distributed energy resources in order to supply the local load autonomously during upstream faults. This paper aims to describe an innovative systematic method and its related analytical formulation to evaluate distribution system reliability indices accounting for advanced operation practices such as those based on telecontrol and islanding. [ABSTRACT FROM AUTHOR]

The possibility to operate in islanding mode some portions of a distribution network, after fault occurrence, helps to improve system reliability. In this perspective, it is crucial to estimate the ability of distributed generators (DGs) to meet the local load. A major issue in the adequacy assessment is to take into account the correlation existing among the power outputs of DGs based on the same renewable intermittent primary energy source (sun, wind). This paper presents a new modelling approach to provide the hourly generation models for each type of renewable DGs, by taking into account both power correlation and hardware availability. An interesting aspect of the proposed approach is that it encompasses such correlation, avoiding the analytical calculation of its value. An innovative method to obtain hourly load models is also presented. Finally, a method to evaluate analytically loss of load probability by using the proposed generation and load models is also described. Both the presented method and Monte Carlo simulations (MCS) are applied to the IEEE RBTS-BUS6. Applying the proposed models and analytical method actually enables obtaining benchmark results to test approximated models and/or MCS results. [ABSTRACT FROM AUTHOR]