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Comparison of the Behavior Tree Concept with other Control Concepts used for Decentralized Energy Systems

Urban, Piet (2024) Comparison of the Behavior Tree Concept with other Control Concepts used for Decentralized Energy Systems. Master's, Carl von Ossietzky Universität Oldenburg.

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Abstract

Behavior trees are a proven concept in the creation of complex task-switching control for robotic systems and non-player characters in the computer games industry. Requirements such as flexibility, maintainability, reusability of functionalities or expandability also apply to the control of decentralised energy systems. Despite this, there is a noticeable research gap regarding the application of behavior trees in that sector, which motivates the explorations of their potential within the scope of this work. Based on the definition and modelling of three exemplary concise energy systems, general behavior tree structures are created; implementation is carried out using the Python library py_trees. The advantage of modularity compared to the development of finite state machines known from robotics is verified for these systems. With a view to minimising annual operational performance indicators such as electricity price and emissions, we conclude that behavior trees have no fundamental advantages over other methods of decision making, such as decision trees, and that the comparison group of linear optimisations performed with the oemof-solph package can only be partially approximated. It is shown that the proposed basic structures allow specific relevant use cases, such as component blocking or peak reduction, to be realised.

Item URL in elib:https://elib.dlr.de/204137/
Document Type:Thesis (Master's)
Title:Comparison of the Behavior Tree Concept with other Control Concepts used for Decentralized Energy Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Urban, PietUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2024
Open Access:Yes
Number of Pages:95
Status:Published
Keywords:Behavior Tree, Decision Tree, Finite State Machine, Model based optimisation, oemof-solph, Decentralized Energy Systems, Control Systems, Graphs
Institution:Carl von Ossietzky Universität Oldenburg
Department:Fakultät V - Mathematik und Naturwissenschaften
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy System Technology
Deposited By: Urban, Piet
Deposited On:14 May 2024 09:26
Last Modified:14 May 2024 09:26

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