Integrating renewable energy technologies into distributed energy systems maintaining system flexibility
Perera, A. T.D. ; Wickramasinghe, P. U. ; Scartezzini, Jean Louis and Nik, Vahid M. LU
(2019)
5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
- Abstract
Flexibility of the energy system plays a vital role when integrating non-dispatchable renewable energy technologies. However, flexibility of the energy system has been often discussed only focusing on the operation of the energy system. This study extends the flexibility concept considering both design and operation of the energy system. In order to achieve this, pseudo chronological scenarios used for stochastic optimization is used to define system flexibility. Multiple criterions are considered when evaluating the flexibility of the system and fuzzy logic is used to consider the ambiguity in the assessment process when localizing into a specific application. Subsequently, multi objective optimization is conducted to design a... (More)
Flexibility of the energy system plays a vital role when integrating non-dispatchable renewable energy technologies. However, flexibility of the energy system has been often discussed only focusing on the operation of the energy system. This study extends the flexibility concept considering both design and operation of the energy system. In order to achieve this, pseudo chronological scenarios used for stochastic optimization is used to define system flexibility. Multiple criterions are considered when evaluating the flexibility of the system and fuzzy logic is used to consider the ambiguity in the assessment process when localizing into a specific application. Subsequently, multi objective optimization is conducted to design a multi-energy hub considering net present value (NPV), system flexibility and renewable energy generation. GPU-accelerated computing is introduced to speed up the computing when evaluating the objective functions for number of scenarios. Results of the study show that poor system flexibility can leads to poor utilization of renewable energy generated. More importantly, penetration levels of non-dispatchable renewable energy technologies notably reduce by 20-30% when considering the flexibility of the energy system which guarantees robust operation.
(Less)
- author
- Perera, A. T.D.
; Wickramasinghe, P. U.
; Scartezzini, Jean Louis
and Nik, Vahid M.
LU
- organization
- publishing date
- 2019-01-21
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Electrical Hub, Flexibility, Stochastic Pareto optimization
- host publication
- Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
- editor
- Santini, Ezio ; Di Gennaro, Stefano and Bruzzese, Claudio
- article number
- 8617046
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018
- conference location
- Rome, Italy
- conference dates
- 2018-09-24 - 2018-09-26
- external identifiers
-
- scopus:85062302231
- ISBN
- 9781538655177
- DOI
- 10.1109/EFEA.2018.8617046
- language
- English
- LU publication?
- yes
- id
- 4682fd37-53af-4a15-8d7c-df837d4e07d2
- date added to LUP
- 2019-03-13 14:41:14
- date last changed
- 2022-04-25 21:37:09
@inproceedings{4682fd37-53af-4a15-8d7c-df837d4e07d2,
abstract = {{<p>Flexibility of the energy system plays a vital role when integrating non-dispatchable renewable energy technologies. However, flexibility of the energy system has been often discussed only focusing on the operation of the energy system. This study extends the flexibility concept considering both design and operation of the energy system. In order to achieve this, pseudo chronological scenarios used for stochastic optimization is used to define system flexibility. Multiple criterions are considered when evaluating the flexibility of the system and fuzzy logic is used to consider the ambiguity in the assessment process when localizing into a specific application. Subsequently, multi objective optimization is conducted to design a multi-energy hub considering net present value (NPV), system flexibility and renewable energy generation. GPU-accelerated computing is introduced to speed up the computing when evaluating the objective functions for number of scenarios. Results of the study show that poor system flexibility can leads to poor utilization of renewable energy generated. More importantly, penetration levels of non-dispatchable renewable energy technologies notably reduce by 20-30% when considering the flexibility of the energy system which guarantees robust operation.</p>}},
author = {{Perera, A. T.D. and Wickramasinghe, P. U. and Scartezzini, Jean Louis and Nik, Vahid M.}},
booktitle = {{Proceedings of the 2018 5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018}},
editor = {{Santini, Ezio and Di Gennaro, Stefano and Bruzzese, Claudio}},
isbn = {{9781538655177}},
keywords = {{Electrical Hub; Flexibility; Stochastic Pareto optimization}},
language = {{eng}},
month = {{01}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Integrating renewable energy technologies into distributed energy systems maintaining system flexibility}},
url = {{http://dx.doi.org/10.1109/EFEA.2018.8617046}},
doi = {{10.1109/EFEA.2018.8617046}},
year = {{2019}},
}