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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mengshi Li Tianyao Ji Qinghua Wu Wu, P. |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Electr. Power Eng., South China Univ. of Technol., Guangzhou, China (Mengshi Li; Tianyao Ji; Qinghua Wu) || Shenzhen Inst. of Adv. Technol. (SIAT), Paul C. Lauterbur Res. Center for Biomed. Imaging, Shenzhen, China (Wu, P.) |
| Abstract | This paper aims to solve an economic dispatch problem concerning wind power using a Bacterial Swarm Algorithm (BSA). The massive installation of the wind turbines in power system presents a challenge for the conventional economic dispatch. With increasing wind power penetration, the ramp capability of wind farms correlates with the uncertain wind speed rather than a fix ratio as conventional generators. Therefore, the ramp constraints of the economic dispatch can be extended to a probability which is related to the wind speed. In order to solve the constrained optimization problem, this paper employs the BSA to reduce the fuel cost by selecting suitable control variables governing the power systems. The proposed method has been evaluated using an IEEE 30-bus test system. Simulation results indicate that the proposed method significantly reduces the fuel cost and satisfies the ramp constraints. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 378085 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479964154 |
| DOI | 10.1109/PESGM.2014.6939404 |
| 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 | Generators Wind speed Wind power generation Fuels Wind turbines Economics Linear programming bacteria swarm optimizer wind power economic dispatch ramp constraints |
| Content Type | Text |
| Resource Type | Article |
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