Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods
In a power system with high wind power penetration, reliability-based reserve expansion is a major problem of system planning and operation due to the uncertainty and fast fluctuation of wind speeds. This paper studied the impact of high wind power penetration on the system reserve and reliability f...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2011
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| Online Access: | https://hdl.handle.net/10356/94277 http://hdl.handle.net/10220/7180 |
| _version_ | 1826128641238499328 |
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| author | Ding, Yi Wang, Peng Goel, Lalit Loh, Poh Chiang Wu, Qiuwei |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Ding, Yi Wang, Peng Goel, Lalit Loh, Poh Chiang Wu, Qiuwei |
| author_sort | Ding, Yi |
| collection | NTU |
| description | In a power system with high wind power penetration, reliability-based reserve expansion is a major problem of system planning and operation due to the uncertainty and fast fluctuation of wind speeds. This paper studied the impact of high wind power penetration on the system reserve and reliability from long-term planning point of view utilizing universal generating function (UGF) methods. The reliability models of wind farms and conventional generators are represented as the corresponding UGFs, and the special operators for these UGFs are defined to evaluate the customer and the system reliabilities. The effect of transmission network on customer reliabilities is also considered in the system UGF. The power output models of wind turbine generators in a wind farm considering wind speed correlation and un-correlation are developed, respectively. A reliability-based reserve expansion method is proposed to determine the conventional reserve required for power systems with high wind power penetration. The IEEE-RTS has been modified to illustrate the applications of the proposed method. |
| first_indexed | 2024-10-01T07:28:15Z |
| format | Journal Article |
| id | ntu-10356/94277 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:28:15Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/942772019-12-06T18:53:38Z Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods Ding, Yi Wang, Peng Goel, Lalit Loh, Poh Chiang Wu, Qiuwei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution In a power system with high wind power penetration, reliability-based reserve expansion is a major problem of system planning and operation due to the uncertainty and fast fluctuation of wind speeds. This paper studied the impact of high wind power penetration on the system reserve and reliability from long-term planning point of view utilizing universal generating function (UGF) methods. The reliability models of wind farms and conventional generators are represented as the corresponding UGFs, and the special operators for these UGFs are defined to evaluate the customer and the system reliabilities. The effect of transmission network on customer reliabilities is also considered in the system UGF. The power output models of wind turbine generators in a wind farm considering wind speed correlation and un-correlation are developed, respectively. A reliability-based reserve expansion method is proposed to determine the conventional reserve required for power systems with high wind power penetration. The IEEE-RTS has been modified to illustrate the applications of the proposed method. Accepted version 2011-10-07T07:18:08Z 2019-12-06T18:53:38Z 2011-10-07T07:18:08Z 2019-12-06T18:53:38Z 2011 2011 Journal Article Ding, L., Wang, P., Goel, L., Loh, P. C., & Wu, Q. (2011). Long-Term Reserve Expansion of Power Systems With High Wind Power Penetration Using Universal Generating Function Methods. IEEE Transactions on Power Systems, 26(2), 766-774. 0885-8950 https://hdl.handle.net/10356/94277 http://hdl.handle.net/10220/7180 10.1109/TPWRS.2010.2054841 en IEEE transactions on power systems © 2011 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 published version is available at: 10.1109/TPWRS.2010.2054841. 9 p. |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Ding, Yi Wang, Peng Goel, Lalit Loh, Poh Chiang Wu, Qiuwei Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods |
| title | Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods |
| title_full | Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods |
| title_fullStr | Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods |
| title_full_unstemmed | Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods |
| title_short | Long-term reserve expansion of power systems with high wind power penetration using universal generating function methods |
| title_sort | long term reserve expansion of power systems with high wind power penetration using universal generating function methods |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution |
| url | https://hdl.handle.net/10356/94277 http://hdl.handle.net/10220/7180 |
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