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http://hdl.handle.net/10397/89965
Title: | Data-driven look-ahead unit commitment considering forbidden zones and dynamic ramping rates | Authors: | Jin, Z Pan, K Fan, L Ding, T |
Issue Date: | Jun-2019 | Source: | IEEE transactions on industrial informatics, June 2019, v. 15, no. 6, 8493336, p. 3267-3276 | Abstract: | Look-ahead unit commitment (LAUC) is recently introduced among independent system operators (ISOs) in the U.S. to increase generation capacity by committing more generators after day-ahead unit commitment when facing various uncertainties in the power system operations. However, as the share of intermittent renewable energy increases significantly in the power generation portfolio, the load continues to fluctuate, and unexpected events and market behaviors happen nowadays, the ISOs are facing new critical challenges to maintain the reliability of power system. To systematically manage these uncertainties and corresponding challenges, new advanced approaches are urgently required to improve current LAUC models and solution methods. Therefore, in this paper, we first propose a new formulation to represent forbidden zones and dynamic ramping rate limits, which help capture the system operation status more accurately and hedge against the uncertainties more effectively, and then correspondingly propose a data-driven risk-averse LAUC model. Our computational experiments show how the size of data influences operational decisions and how the inclusion of forbidden zones and dynamic ramping provide better decisions. | Keywords: | Data driven Dynamic ramping rates Forbidden zones Unit commitment (UC) |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on industrial informatics | ISSN: | 1551-3203 | EISSN: | 1941-0050 | DOI: | 10.1109/TII.2018.2876316 | 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 following publication Z. Jin, K. Pan, L. Fan and T. Ding, "Data-Driven Look-Ahead Unit Commitment Considering Forbidden Zones and Dynamic Ramping Rates," in IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pp. 3267-3276, June 2019 is available at https://doi.org/10.1109/TII.2018.2876316. |
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