A generic benchmark for power market analysis from generation mix to end-users
This paper presents a benchmark to model power systems market mechanisms from the generation mix to the end-users. The objective is to develop a platform that can help solving long-term planning problems. The operation described here is the joined day-ahead (DA) clearing for the wholesale market and...
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sg-ntu-dr.10356-1445222020-11-11T02:01:17Z A generic benchmark for power market analysis from generation mix to end-users Rigo-Mariani, Remy Ling, Keck Voon Maciejowski, Jan School of Electrical and Electronic Engineering 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT) Engineering::Electrical and electronic engineering Energy Market Wholesale Market This paper presents a benchmark to model power systems market mechanisms from the generation mix to the end-users. The objective is to develop a platform that can help solving long-term planning problems. The operation described here is the joined day-ahead (DA) clearing for the wholesale market and the individual optimal scheduling of end-users equipped with distributed solar generation and storage. The implemented methods lie on linear programming whose fast computation allows to consider the decentralized control of an important number of end-users. Several scenarios are investigated with different retail prices and CO 2 mitigation policies as well as different sizes for the decentralized assets at the end-users' level. National Research Foundation (NRF) Accepted version The authors acknowledge the support by the Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) programme and its Energy NIC grant (NRF Award No.:NRF-ENIC-SERTD-SMES-NTUJTCI3C-2016). This research was also supported by the Cambridge Centre for Advanced Research in Energy Efficiency in Singapore Ltd (CARES). 2020-11-11T02:01:17Z 2020-11-11T02:01:17Z 2019 Conference Paper Rigo-Mariani, R., Ling, K. V., & Maciejowski, J. (2018). A generic benchmark for power market analysis from generation mix to end-users. Proceedings of the 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT). doi:10.1109/acept.2018.8610802 978-1-5386-8137-4 https://hdl.handle.net/10356/144522 10.1109/ACEPT.2018.8610802 en © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ACEPT.2018.8610802. application/pdf |
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Engineering::Electrical and electronic engineering Energy Market Wholesale Market Rigo-Mariani, Remy Ling, Keck Voon Maciejowski, Jan A generic benchmark for power market analysis from generation mix to end-users |
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This paper presents a benchmark to model power systems market mechanisms from the generation mix to the end-users. The objective is to develop a platform that can help solving long-term planning problems. The operation described here is the joined day-ahead (DA) clearing for the wholesale market and the individual optimal scheduling of end-users equipped with distributed solar generation and storage. The implemented methods lie on linear programming whose fast computation allows to consider the decentralized control of an important number of end-users. Several scenarios are investigated with different retail prices and CO 2 mitigation policies as well as different sizes for the decentralized assets at the end-users' level. |
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School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Rigo-Mariani, Remy Ling, Keck Voon Maciejowski, Jan |
format |
Conference or Workshop Item |
author |
Rigo-Mariani, Remy Ling, Keck Voon Maciejowski, Jan |
author_sort |
Rigo-Mariani, Remy |
title |
A generic benchmark for power market analysis from generation mix to end-users |
title_short |
A generic benchmark for power market analysis from generation mix to end-users |
title_full |
A generic benchmark for power market analysis from generation mix to end-users |
title_fullStr |
A generic benchmark for power market analysis from generation mix to end-users |
title_full_unstemmed |
A generic benchmark for power market analysis from generation mix to end-users |
title_sort |
generic benchmark for power market analysis from generation mix to end-users |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/144522 |
_version_ |
1688665660040675328 |