Optimal Generation Structure within Sustainable Energy Communities Demand

2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2023) 2023
Yurii Veremiichuk, Olena Yarmoliuk, Ivan Prytyskach, Vitalii Opryshko, Anatolijs Mahņitko, Tatjana Lomane

This work aims to develop an efficient method for aggregating electricity consumers within renewable energy communities. We assessed its efficacy using statistical data on renewable energy source performance and various consumer electrical loads. Primary focus was crafting a tool to optimize energy community network operations, considering ecological, technical, and economic criteria to achieve optimal outcomes. The proposed methodology offers a valuable framework for sustainable energy community management, contributing to the broader goal of promoting renewable energy adoption and enhancing the reliability of our energy systems.

Keywords
integrated power distribution systems, distributed generation, renewable energy sources, low power sources, energy community, multicriteria optimization.
DOI
10.1109/RTUCON60080.2023.10413185
Hyperlink
https://ieeexplore.ieee.org/document/10413185

Veremiichuk, Y., Yarmoliuk, O., Prytyskach, I., Opryshko, V., Mahņitko, A., Lomane, T. Optimal Generation Structure within Sustainable Energy Communities Demand. In: 2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2023), Latvia, Riga, 9-11 October, 2023. Piscataway: IEEE, 2023, pp.1-6. ISBN 979-8-3503-1774-9. e-ISBN 979-8-3503-1773-2. Available from: doi:10.1109/RTUCON60080.2023.10413185

Publication language
English (en)