Please use this identifier to cite or link to this item:
http://hdl.handle.net/10125/71012
Direct Policy Search for Multiobjective Optimization of the Sizing and Operation of Citizen Energy Communities
Item Summary
Title: | Direct Policy Search for Multiobjective Optimization of the Sizing and Operation of Citizen Energy Communities |
Authors: | Golla, Armin Meinke, Robin-Joshua Liu, Mengwei Staudt, Philipp Anderson, C. Lindsay show 1 moreWeinhardt, Christof show less |
Keywords: | Policy, Markets and Analytics direct policy search local energy communities multiobjective optimization sector coupling |
Date Issued: | 05 Jan 2021 |
Abstract: | Citizen Energy Communities (CECs) are increasingly promoted in the European Union and beyond as a form of locally operated microgrids. While traditional microgrid research is often focused on an optimized operation, individual preferences regarding conflicting objectives are becoming more important in such communities. In this study, we present an evolutionary algorithm that has previously been used for a multiobjective operation of microgrids and include the perspective of heat consumption and initial sizing decisions using direct policy search. This way, the developed tool can be used by CEC planners to integrate conflicting objectives of residents in the installation phase. We introduce the algorithm formulation and demonstrate its functionality on a case study for different ambient conditions. The results show the opportunities to size and operate CECs through the presented algorithm. |
Pages/Duration: | 10 pages |
URI: | http://hdl.handle.net/10125/71012 |
ISBN: | 978-0-9981331-4-0 |
DOI: | 10.24251/HICSS.2021.397 |
Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Appears in Collections: |
Policy, Markets and Analytics |
Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.
This item is licensed under a Creative Commons License