Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/144522
Title: | A generic benchmark for power market analysis from generation mix to end-users | Authors: | Rigo-Mariani, Remy Ling, Keck Voon Maciejowski, Jan |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2019 | Source: | 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 | metadata.dc.contributor.conference: | 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT) | Abstract: | 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. | URI: | https://hdl.handle.net/10356/144522 | ISBN: | 978-1-5386-8137-4 | DOI: | 10.1109/ACEPT.2018.8610802 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 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. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Conference Papers |
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