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Authors:
Lasse Hammer
Eric Veith
Keywords: HRES; optimization; resilience; robustness; ARL
Abstract:
This paper reviews existing literature that focuses on optimizing Hybrid Renewable Energy System (HRES) regarding their incorporation of resilience and robustness properties and gives an overview of commonly used techniques in the field. HRES are energy systems consisting of renewable energy sources, as well as traditional fuel based generators as backup. In the current transformation phase of energy generation, it is important to size those systems large enough but as small as possible. Today, a plethora of optimization goals and techniques, as well as approaches to model and simulate the systems are known to researchers. Since no common definition of resilience and robustness exists for cyber-physical systems like HRES, different definitions are compared and explained. The review shows that a research gap exists in taking resilience and robustness into account when optimizing HRES. An outlook on how to address this research gap using Adversarial Resilience Learning (ARL) is also given.
Pages: 38 to 47
Copyright: Copyright (c) IARIA, 2021
Publication date: May 30, 2021
Published in: conference
ISSN: 2308-412X
ISBN: 978-1-61208-855-6
Location: Valencia, Spain
Dates: from May 30, 2021 to June 3, 2021