SYNOPSIS
Course Objectives:
Applied Cyber Security in the Smart Grids
Hacking the Smart Grid: Attack vectors motive; Target identification; Vulnerability; Attack tools and methods; Privacy concerns; Personal data; Privacy risks associated with smart grids; Privacy impact assessment; Security models for SCADA, ICS and Smart Grid: NISTIR 7628, EU M/490, SGCG, IEEE 2030-2011, ISA-62443; Mapping security requirements to smart grid environments;
Securing the Smart Grid: Implementing security control within Smart Grid endpoints; Establishing strong boundaries and zone separation; Protecting data and applications; Situational awareness; Case study: defending against Shamoon; Securing the supply chain in Smart Grid; Future of cyber security considerations and countermeasures;
Integration, Interconnection and Interoperation in the Smart Grids
Interconnection and interoperability of distributed energy resources with associated electric power systems; IEEE 1547 Standard; Conformance test procedures;
Monitoring information exchange; Control of distributed energy resources; New requirements for ride-through; Interoperability requirements; Microgrids and islanding operations; Power quality requirements; Impact studies;
Sensing, Communications and Intelligence in the Smart Grids
Smart Grid communication; Power system information theory; Communication architecture; Wireless communication; Demand response; Advanced metering infrastructure; Smart power transmission system; Wide area monitoring; Networked control; Distribution automation – protection coordination, self-healing; Standards.
Machine intelligence in the Grid; Computing models for smart grid; Machine-to-machine communication; State estimation and stability; Distributed state estimation; Phasor measurement unit; Synchrophasor applications; Future of Smart Grid; Future microgrids and nanogrids; Emerging technologies;
Course Content:
This module aims to provide participants with applied knowledge and skills on the broad range of technologies and multi-disciplinary integrative strategies. This knowledge is necessary to implement more intelligent power systems of the near-future, which can be more resilient, energy-efficient, cyber-secure, interoperable and can accommodate higher penetration of renewables while enhancing the electrification experience of consumers.
The technologies include sensing & instrumentation, communications and machine intelligence, which are crucial to making power networks smart, regardless whether the power networks are large or small, grid-connected or standalone. Before the Smart Grid becomes ubiquitous, it is also important to understand cyber-security issues and implement processes to address them at the early stage.
Minimum Entry Requirement:
- Bachelor degree in Engineering
- At least one year of relevant working experience
