Multi-layered simulation platform for future worlds distribution system scenarios

Research output: Contribution to conferencePaperpeer-review

35 Downloads (Pure)


With the current Distribution System Operator (DSO) transition, DSOs are looking for novel cost-effective solutions to manage distribution networks. To avoid operational failures these solutions must be evaluated in a realistic end to end test environment prior to deployment. To meet this requirement PNDC is presently developing a platform that integrates solutions for power system analysis, market modelling, and real-time simulation. This multi-layered simulation platform will be used to investigate the impact of different DSO operational scenarios (e.g. flexibility procurement, communication interfaces, and vendor provided solutions). To develop the case study presented in this paper aspects of the Open Networks ‘Future Worlds’ were utilised. The ‘Future Worlds’ were developed by the UK Energy Networks Association and represent potential scenarios for the UK future electricity industry structure.
This paper presents a case study using the PNDC platform. This case study reflects ‘Future World’ A and simulates an enforced power exchange profile at a grid supply point. In the case study a controllable demand is simulated in real-time and interfaces with power flow analysis and an optimal flexibility procurement algorithm. The case study demonstrates the capability of the multi-layered platform to manage network limitations by procuring flexibility services within a simulated distribution network.
Original languageEnglish
Number of pages4
Publication statusPublished - 22 Sep 2020
EventCIRED Workshop 2020 - Berlin, Germany
Duration: 22 Sep 202023 Sep 2020


ConferenceCIRED Workshop 2020
Internet address


  • DSO
  • distribution flexibility resources
  • flexibility procurement and dispatch
  • DSO scenarios
  • power network demonstration centre
  • PNDC


Dive into the research topics of 'Multi-layered simulation platform for future worlds distribution system scenarios'. Together they form a unique fingerprint.

Cite this