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Stochastic Real-Time Scheduling of Wind-Thermal Generation Units in an Electric Utility
| Title: | Stochastic Real-Time Scheduling of Wind-Thermal Generation Units in an Electric Utility | Authors: | Soroudi, Alireza; Rabiee, Abbas; Keane, Andrew | Permanent link: | http://hdl.handle.net/10197/6301 | Date: | 5-Jan-2015 | Online since: | 2015-01-16T16:56:30Z | Abstract: | The objective of the dynamic economic dispatch (DED) problem is to find the optimal dispatch of generation units in a given operation horizon to supply a prespecified demand while satisfying a set of constraints. In this paper, an efficient method based on optimality-condition-decomposition technique is proposed to solve the DED problem in real-time environment while considering wind power generation and pool market. The uncertainties of wind power generation, as well as the electricity prices, are also taken into account. The aforementioned uncertainties are handled using a scenario-based approach. To illustrate the effectiveness of the proposed approach, it is applied on 40 and 54 thermal generation units and a large-scale practical system with 391 thermal generation units. The obtained results substantiate the applicability of the proposed method for solving the real-time DED problem with uncertain wind power generation. | Funding Details: | Science Foundation Ireland | Type of material: | Journal Article | Publisher: | Institute of Electrical and Electronics Engineers | Journal: | Systems Journal, IEEE | Volume: | PP | Issue: | 99 | Start page: | 1 | End page: | 10 | Copyright (published version): | 2014 Institute of Electrical and Electronics Engineers | Keywords: | Dynamic economic dispatch (DED); Optimality condition decomposition (OCD); Real time; Scenario-based uncertainty modeling; Wind power generation | DOI: | 10.1109/JSYST.2014.2370372 | Language: | en | Status of Item: | Peer reviewed | This item is made available under a Creative Commons License: | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ |
| Appears in Collections: | Electrical and Electronic Engineering Research Collection |
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