A Vision for Co-optimized T&D System Interaction with Renewables and Demand Response
| dc.contributor.author | Anderson, Lindsay | |
| dc.contributor.author | Zephyr, Luckny | |
| dc.contributor.author | Cardell, Judy | |
| dc.date.accessioned | 2016-12-29T01:09:44Z | |
| dc.date.available | 2016-12-29T01:09:44Z | |
| dc.date.issued | 2017-01-04 | |
| dc.description.abstract | The evolution of the power system to the reliable, efficient and sustainable system of the future will involve development of both demand- and supply-side technology and operations. The use of demand response to counterbalance the intermittency of renewable generation brings the consumer into the spotlight. Though individual consumers are interconnected at the low-voltage distribution system, these resources are typically modeled as variables at the transmission network level. In this paper, a vision for co-optimized interaction of distribution systems, or microgrids, with the high-voltage transmission system is described. In this framework, microgrids encompass consumers, distributed renewables and storage. The energy management system of the microgrid can also sell (buy) excess (necessary) energy from the transmission system. Preliminary work explores price mechanisms to manage the microgrid and its interactions with the transmission system. | |
| dc.format.extent | 8 pages | |
| dc.identifier.doi | https://doi.org/10.24251/HICSS.2017.360 | |
| dc.identifier.isbn | 978-0-9981331-0-2 | |
| dc.identifier.uri | http://hdl.handle.net/10125/41517 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of the 50th Hawaii International Conference on System Sciences | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | renewable energy | |
| dc.subject | microgrid | |
| dc.subject | responsive demand | |
| dc.subject | stochastic optimization | |
| dc.title | A Vision for Co-optimized T&D System Interaction with Renewables and Demand Response | |
| dc.type | Conference Paper | |
| dc.type.dcmi | Text |
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