Open AccessModelling of a virtual power plant using hybrid automata
Author(s) -
Javaid Chaudhry Jibran,
Allahham Adib,
Giaouris Damian,
Blake Simon,
Taylor Phil
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8161
Subject(s) - computer science , automaton , virtual power plant , distributed computing , power station , power (physics) , control (management) , hybrid system , hybrid power , control engineering , distributed generation , engineering , theoretical computer science , artificial intelligence , physics , quantum mechanics , machine learning , electrical engineering
Virtual power plant (VPP) is a hybrid power system with a mesh of distributed resources, local loads and storage with both discrete and continuous variables involved. Control of such system requires advanced control schemes to make distributed assets act together to mimic an actual power plant. Previously, to study the behaviour of such systems, complex algorithms and modelling tools have been used but this paper proposes the use of Hybrid Automata (HA) as a convenient tool to model these systems. To demonstrate this, HA is used to model a VPP for a research farm owned by Newcastle University as a first step to design the control for the system.