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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dinghuan Zhu Hug-Glanzmann, G. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Dinghuan Zhu; Hug-Glanzmann, G.) |
| Abstract | This paper investigates decomposition methods in stochastic optimization to facilitate parallel computing for the security constrained economic dispatch (SCED) problem in power systems with renewable energy and storage devices. A two-stage stochastic version of SCED based on stochastic model predictive control is formulated. The objective is to supply the demand under uncertainties in the most economic and safe manner, achieving optimal coordination between energy storage and dispatchable generators with respect to real power balancing. The uncertainties correspond to the power output of renewable generators and the demand at load buses. A dual decomposition scheme based on optimality condition decomposition (OCD) is applied to the considered stochastic SCED problem and compared with the Benders decomposition algorithm. The effectiveness of the OCD algorithm is demonstrated through the comparison between the OCD and Benders decomposition on a modified WECC 9-bus test system. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 394106 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479964154 |
| DOI | 10.1109/PESGM.2014.6939490 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Generators Optimization Silicon Economics Linear programming Power systems stochastic model predictive control Benders decomposition economic dispatch energy storage optimality condition decomposition |
| Content Type | Text |
| Resource Type | Article |
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