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This paper proposes a general procedure based on discrete event simulations in order to evaluate the impact on the electrical distribution system for a given commercial building when several charging points are installed. An operator policy is also implemented in some test cases. The results show a significant load increase in the daily load profile under a specific penetration percentage of Plug-in Electric Vehicles.

Power security planning becomes an important issue in the actual growth of power system due to the dependence of modern society to a reliable, secure and flexible network. Major blackouts are started by cascade failures which successively weaken the system and make further failures more likely. With the advance of utilization of distributed generation (DG), this is a feasible and cost-effective solution to mitigate cascading failures impacts. This paper presents a methodology based on the Manchester Model to evaluate the effectiveness of DG in the mitigation of impacts due to cascade failures. The expected value of energy not supplied (EENS), with and without DG, is computed as security index for comparisons. Then, a practical identification of strategic nodes for the installation of DG using distribution factors is presented.

One of the essential issues about operation of electric vehicles in transportation is to attend the demand of charging electric batteries with high reliability. This paper presents different connection schemes to feed the chargers from the distribution system, in three particular cases: private vehicle in residential garage, vehicles in shopping centers, and for bus parking chargers. For the two first cases a flow diagram of design is presented, as the procedure of design in particular cases. Also, a comparison in hours available and costs is made for the case of bus parking. The connection schemes selected are based on the Std. IEEE 493–2007.

When a power system is exposed to a major disturbance, the system exhibits a tendency towards poorly damped oscillations which may cause loss of synchronism; in consequence, control actions, which must deal with the presence of delays in monitoring and control signals, have to be performed to avoid an instability in the system. This paper presents the application of a nonlinear control strategy for the damping of oscillations in a delayed single-machine infinite-bus system. The damping of oscillations is achieved by acting over the mechanical power and tracking the electrical power reference at the infinite bus. Also, it is addressed the issue of time-delayed signals considering the electrical power at the infinite bus as a delayed remote signal. Results show that the proposed Smith predictor based backstepping control effectively resolves the time-delay problem, and its possible application to multi machine systems is promising.

Generally, stochastic point processes are employed in reliability analysis of repairable systems. However, when failures and reparations of these systems occur in a non-stationary trend over time, for example due to aging, it is required to use non-homogeneous Poisson process. In this paper, it is presented a general methodology for reliability assessment of repairable systems using non-homogeneous Poisson process. The methodology uses sequential Monte Carlo simulation and is applied to a power distribution test system affected by adverse weather conditions and aging of its components. As a conclusion, it was found non-homogeneous Poisson process is an excellent tool for modeling the reliability of repairable systems when it is required to consider realistic conditions in the analysis.