Transport sector electrification represents an increase in the number of electric vehicles (EV), producing significant variations in the distribution network dynamics. As a result, bidirectional power flow, overload and load unbalances are caused at the low voltage level due to unexpected increased load peaks. Non-intrusive load monitoring (NILM) methods have been developed as a strategy for energy management systems, applied to the customer side producing energy savings. This research presents a NILM methodology based on a low complexity conventional supervised machine learning pipeline. Our approach uses Principal Component Analysis (PCA) and Random Forest (RF) to detect the presence of a charging electric vehicle on the electricity network. By processing low sampling rate active power data, this approach provides a simple but feasible method that can be applied to smart meters. This provides useful data analysis for distribution network operators (DNO) to effectively deal with variability caused by these low carbon loads in the distribution grid. Achieving an overall efficacy of 92.68%, the proposed method can be compared with other state of the art methods developed under higher complexity techniques.

A major hindrance in industry modernization is the interoperability issues between existing legacy and new systems. Legacy systems normally have security vulnerabilities and are cost prohibitive to upgrade/replace. Thus, a feasible solution is needed to equip legacy systems with secure emerging technologies. This paper presents a low-cost ARM processor based Inter-Technology Bridging Gateway (ITBG). Its modular design makes it easily customizable for any industrial application. As a use case, this paper presents design, implementation, compliance testing and validation of ITBG for synchrophasor technology in smart grid. It bridges technological gap between legacy and new phasor devices by supporting two-way protocol translation between IEEE C37.118.2 and IEC 61850-90-5 standards. Further, it ensures system security by using IEC recommended GDOI security mechanism. Experiments in a laboratory based physical testbed successfully validated ITBG for different time-critical synchrophasor applications.

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Synchrophasor measurements continue to show great potential for innovative protection, control and analytical functions in the emerging Smart Grid. Commercially available Phasor Measurement Units (PMU) are generally produced and sold in a manner that makes their internal workings unavailable, or closed, to the end user. With this in mind, the authors have pursued the goal of producing an open source PMU, the OpenPMU.This paper describes how the functions of the OpenPMU have been separated into distinct modules. This is a significant change in design, and has been done so with the intention of reducing the effort required for persons with interest in PMU technology to adopt OpenPMU components in their designs.Using the design described in this paper, in particular the open data exchange schema, it is possible to interchange modules with ease. For example, one may change the phasor estimation algorithm, without affecting signal acquisition or communication. The modular design also simplifies the use of OpenPMU components in popular simulation environments.