Analyzing the resilience and flexibility of power systems to future demand and supply scenarios

M. Panteli, A. I. Nikolaidis, C. A. Charalambous, Y. Zhou, F. R. Wood, S. Glynn, P. Mancarella

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A systematic resilience and flexibility analysis of future power systems to address the impacts of climate change and Renewable Energy penetration is becoming increasingly important, as it is expected to have a great effect on the demand and supply portfolios. Depending on the intrinsic characteristics of each power system, different aspects have to be considered in the analysis since this cannot be universal for all power systems. To highlight this, the paper presents two different case studies pertaining to the Great Britain and Cyprus networks respectively. Firstly, the resilience of the Great Britain transmission network to future demand and supply scenarios (2020, 2030 and 2050) is evaluated using a reduced version of the current Great Britain transmission network. Subsequently, the future flexibility requirements of the isolated network of Cyprus are appropriately benchmarked against future energy mix scenarios that involve conventional generation and renewable energy penetration.

Original languageEnglish
Title of host publicationProceedings of the 18th Mediterranean Electrotechnical Conference
Subtitle of host publicationIntelligent and Efficient Technologies and Services for the Citizen, MELECON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509000579
Publication statusPublished - 20 Jun 2016
Event18th Mediterranean Electrotechnical Conference, MELECON 2016 - Limassol, Cyprus
Duration: 18 Apr 201620 Apr 2016


Other18th Mediterranean Electrotechnical Conference, MELECON 2016


  • Demand Scenarios
  • Flexibility
  • Power System
  • Resilience
  • Supply Scenarios


Dive into the research topics of 'Analyzing the resilience and flexibility of power systems to future demand and supply scenarios'. Together they form a unique fingerprint.

Cite this