Andres Pavas

This article is focused on the estimation of reliability indices (SAIDI, SAIFI and ENS) in distribution systems with microgrids containing PV generation and energy storage implementing a Latin hypercube sampling (LHS) method integrated with a Monte Carlo (MC) simulation to combine the failure model of the distribution system and the failure model of the microgrid. The methodology takes into consideration the behavior of the PV generation and the energy storage inside the microgrid and its contributions to improving the reliability indices. The results indicate that the LHS method reduces the amount of replications needed for the convergence of the MC simulation, particularly when a low tolerance in the average value of the ENS is needed.

This paper explores the potential of some remarkable power theories derived from Fryze’s approach to assessing waveform distortion contributions. The analysis is limited to a simplified system composed of one load and one voltage source connected by a point of common coupling. Finally, some keys to assess are proposed for two types of systems: strong networks (traditional distribution systems) and weak networks (islanded microgrids).

Recently, the different citation databases have updated their citation and positioning results. On this occasion, we want to show the readers of the Ingeniería e Investigación journal how our indicators have evolved in three of them.

The aim of this paper is to present a simulation of distribution systems adding solar PV generation using Matlab and OpenDSS. A chronological Monte Carlo simulation was developed to determine the probabilistic three-phase power flow with statistical power demand and solar resource data. A probabilistic load model was also proposed to generate power samples using patterns from real measurements. The irradiance, temperature and load values for each time step are managed on Matlab and sent to OpenDSS for the calculation of three phase power flow. The model was tested with the Comprehensive Test Feeder (CTF) for different amount of realizations presenting convergent values after 2000 realizations. The circuit of the CTF was tested obtaining a voltage profile and three phase power flow with a maximum error of 2.78% compared with the original results. The CTF was modified adding 4 PV generation systems to low-voltage nodes with a 10.16% of rated power penetration with respect to the original load. The simulation allows to analyze the power flows of the feeder with PV generation and further variables by adding modules to the framework.

This paper presents the application of Demand Response (RD) to evaluate the flexibility of a customer group based on an aggregated stochastic demand model, whose behavior and decision making is based on recent statistical surveys. The sample of users is evaluated in two scenarios. First scenario applies a negative incentive on which 36% of the customers respond and overcome it. The second scenario uses a power peak tariff where customers voluntarily reduce the cost in their bill. About 5% of reduced peak demand is achieved with low effect on customer comfort.

Having decision criteria, such as the maintenance effect in electrical equipment or its level of aging after a certain number of years of use, allows for a greater number of scenarios on how the equipment should continue to be used. These scenarios may vary between forcing the equipment in the short term or reducing its level of effort to prolong its useful life. In this paper demand management is addressed as a process in which a demand profile is transformed to observe dry type transformer behaviour. This management implies that the habits of consumption of the user are modified and therefore the form and amount of energy that is being delivered and consumed in each moment is varied. The paper summarizes the expected effects of different demand management scenarios and highlights the better desirable actions depending on different asset management purposes.

This editorial note presents a brief review of the report by the 2019 Mission of Wise men. The note gathers the more general aspects and poses a discussion about the role that the Schools of Engineering can play in the framework of reference raised by the Mission.