Study of Communication Between Distributed Generation Devices in an Smart Grid Environment

Abstract

The increasing demand of electricity, due to population growth in recent years has resulted in a necessary expansion of the energy matrix through alternative sources including consumer's small power generators in low or medium voltage. Thus, studies have been conducted to enter the automation in the control of these systems but has not yet been established what will be controlled and how to get the data effectively. In this microgrid scenario, one of the challenges is the automation of network among different devices such as generator controllers, smart meters, etc., in order to facilitate the required exchange of information and enable networked control. Therefore, this paper presents a simulation of a microgrid (!") with a distributed generator (!") remotely controlled via a wireless communication. The methodology is presented through integrated simulation of smart grids, in which the electrical system was implemented using PLECS blockset, while the wireless network was designed using the TrueTime toolbox, both emulated in Matlab Simulink. In this !" application, the use of ZigBee and WLAN wireless networks to control the active power generation of the !" is evaluated under different network parameters such as loss probability and distance between the devices. Results show that the simulation provide a solution for wireless network analysis, !" control and electrical network modeling of the in smart !" scenarios presenting the efficient network solution for MG development.

Effects of Communication Signal Delay on the Power Grid: A Review

“…Because their stability index (W c ) is so large that their safety is lower than ours we have a small index in various parts that have been considered in the IEEJ WEST 10-machine model. Much of the work has been done in the past to illustrate the impact of communication delays [19][20][21], on the results obtained based on the impact on the feedback controller. Controllers need to be able to cope with communication delays, and how to reduce the risk of adverse effects should be addressed accordingly.…”

“…Security-related delayed system measurements between equipment and controller [14,18]. Heydari et al have shown that communication in delays affects microgrid island and continue with the second inspection that took place the survey was conducted with a small sample [19,20]. Some researchers showed one of the ways in which literature only assessed its power delayed check for the second check (e.g., [21]) and others (e.g., [22]) on the full line of the power of the system, both are small-scale signals.…”

Anomaly Inference Based on Heterogeneous Data Sources in an Electrical Distribution System

“…Once the future distribution grid has been deployed, it will incorporate numerous advanced technologies, such as real-time data exchange, data mining, and modeling, stable long-distance communication, cybersecurity, etc., to deal issues prevailing with conventional electric systems. The direct benefits of the future distribution system can be summarized as [17,18,19,20]: † The grid will be capable of accommodating wide various kinds of distributed generators safely and seamlessly as mentioned before. † Consumers can monitor and manage the "smart" devices, choose the working and service time, avoid the power usage peak time, and pay bills according to the dynamic price.…”