- Title
- Transmission network expansion planning with wind energy integration: a stochastic programming model
- Creator
- Chen, Guo; Dong, Zhao Yang; Hill, David J.
- Relation
- 2012 IEEE Power and Energy Society General Meeting (PES 2012). Proceedings of the 2012 IEEE Power and Energy Society General Meeting, PES 2012 (San Diego, CA 22-26 July, 2012)
- Publisher Link
- http://dx.doi.org/10.1109/PESGM.2012.6344752
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2012
- Description
- The growing penetration of wind energy has introduced increasing uncertainties to power grids. As a result, it is necessary to develop new models and algorithms in transmission network expansion planning (TNEP) so as to deal with the risks. In this paper a stochastic programming model is proposed to carry out the TNEP. Moreover, an effective hybrid algorithm, which is the combination of evolutionary algorithms (EA) and Benders’ Decomposition (BD) technique, is developed to solve the formed programming model. Theoretically, the EAs have the advantage of rapidly locating a high-quality region and the BD can accelerate the search to find the optimal solution within the region. In addition, the hybrid method is tested by the modified Garver’s system and the IEEE 14 bus system. Promising results are obtained to validate its effectiveness.
- Subject
- transmission network expansion planning; evolutionary computation; hybrid algorithm; wind power; stochastic programming
- Identifier
- http://hdl.handle.net/1959.13/1326483
- Identifier
- uon:25438
- Identifier
- ISBN:9781467327275
- Language
- eng
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