Methods and Concepts for Designing and Validating Smart Grid Systems

Edited by
November 2019
408 pages
  • ISBN978-3-03921-648-2 (Paperback)
  • ISBN978-3-03921-649-9 (PDF)

This book is a reprint of the Special Issue Methods and Concepts for Designing and Validating Smart Grid Systems that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
Physical Sciences

Energy efficiency and low-carbon technologies are key contributors to curtailing the emission of greenhouse gases that continue to cause global warming. The efforts to reduce greenhouse gas emissions also strongly affect electrical power systems. Renewable sources, storage systems, and flexible loads provide new system controls, but power system operators and utilities have to deal with their fluctuating nature, limited storage capabilities, and typically higher infrastructure complexity with a growing number of heterogeneous components. In addition to the technological change of new components, the liberalization of energy markets and new regulatory rules bring contextual change that necessitates the restructuring of the design and operation of future energy systems. Sophisticated component design methods, intelligent information and communication architectures, automation and control concepts, new and advanced markets, as well as proper standards are necessary in order to manage the higher complexity of such intelligent power systems that form smart grids.


Due to the considerably higher complexity of such cyber-physical energy systems, constituting the power system, automation, protection, information and communication technology (ICT), and system services, it is expected that the design and validation of smart-grid configurations will play a major role in future technology and system developments. However, an integrated approach for the design and evaluation of smart-grid configurations incorporating these diverse constituent parts remains evasive. The currently available validation approaches focus mainly on component-oriented methods. In order to guarantee a sustainable, affordable, and secure supply of electricity through the transition to a future smart grid with considerably higher complexity and innovation, new design, validation, and testing methods appropriate for cyber-physical systems are required. Therefore, this book summarizes recent research results and developments related to the design and validation of smart grid systems.

  • Paperback
License and Copyright
© 2020 by the authors; CC BY license
adaptive control; fuzzy logic; cell; frequency containment control (FCC); power frequency characteristic; droop control; smart grids; substation automation system (SAS); high-availability seamless redundancy (HSR); seamless communications; traffic reduction technique; Power Hardware-in-the-Loop (PHIL); interface algorithm (IA); operational range of PHIL; linear/switching amplifier; cyber-physical energy system; co-simulation; conceptual structuration; coupling method; linear decision rules; optimal reserve allocation; robust optimization; web of cells; demand response; real-time balancing market; elastic demand bids; shiftable loads; market design; market design elements; Web-of-Cells; procurement scheme; remuneration scheme; pricing scheme; cascading procurement; real-time simulation; hardware-in-the-Loop; synchrophasors; micro-synchrophasors; distribution phasor measurement units; distribution grid; time synchronization; PHIL (power hardware in the loop); simulation initialization; synchronization; time delay; synchronous power system; stability; accuracy; peer-to-peer; distributed control; device-to-device communication; voltage control; experimentation; smart grid; cyber physical co-simulation; information and communication technology; 4G Long Term Evolution—LTE; network reconfiguration; fault management; power loss allocation; plug-in electric vehicle; smart grid; locational marginal prices; microgrid; resilience; investment; underground cabling; network outage; battery energy storage system (BESS); micro combined heat and power (micro-CHP); electricity distribution; solar photovoltaics (PV); islanded operation; distributed control; microgrid; hardware-in-the-loop; average consensus; multi-agent system; active distribution network; laboratory testbed; renewable energy sources; DC link; centralised control; interoperability; smart energy systems; use cases; IEC 62559; SGAM; TOGAF; integration profiles; IHE; testing; gazelle; connectathon; Hardware-in-the-Loop; Software-in-the-Loop; Power-Hardware-in-the-Loop; Quasi-Dynamic Power-Hardware-in-the-Loop; smart grids; real-time simulation; validation and testing; decentralised energy system; smart grids control strategies; smart grid; wind power; synchronized measurements; PMU; data mining; Architecture; Development; Enterprise Architecture Management; Model-Based Software Engineering; Smart Grid; Smart Grid Architecture Model; System-of-Systems; Validation; design, development and implementation methods for smart grid technologies; modelling and simulation of smart grid systems; co-simulation-based assessment methods; validation techniques for innovative smart grid solutions; real-time simulation and hardware-in-the-loop experiments