@inproceedings{cebd95693454490b8bfa746f11b7b63a,
title = "Evolutionary Algorithms for Planning Remote Electricity Distribution Networks Considering Isolated Microgrids and Geographical Constraints",
abstract = "In this study we propose obstacle-aware evolution-ary algorithms to identify optimised network topologies for electricity distribution networks including isolated microgrids or stand-alone power systems. We outline the extension of two evo-lutionary algorithms that are modified to consider different types of geographically constrained areas in electricity distribution planning. These areas are represented as polygonal obstacles that either cannot be traversed or cause a higher weight factor when traversing. Both proposed evolutionary algorithms are extended such that they find optimised network solutions that avoid solid obstacles and consider the increased cost of traversing soft obstacles. The algorithms are tested and compared on different types of problem instances with solid and soft obstacles and the problem-specific evolutionary algorithm can be shown to successfully find low cost network topologies on a range of different test instances.",
keywords = "distributed network topology, Electricity network planning with obstacles, evo-lutionary algorithms, isolated microgrids, polygonal constraints",
author = "Manou Rosenberg and Mark Reynolds and Tim French and Lyndon While",
note = "Funding Information: Manou Rosenberg would like to thank the Forrest Research Foundation for their funding and support through the Forrest Research scholarship and the University of Western Australia for the support through an Ad Hoc Postgraduate Scholarship. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Congress on Evolutionary Computation, CEC 2022 ; Conference date: 18-07-2022 Through 23-07-2022",
year = "2022",
doi = "10.1109/CEC55065.2022.9870233",
language = "English",
series = "2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
booktitle = "2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings",
address = "United States",
}