An Optimal Transmission Congestion Management in Open Power Markets
Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation ca...
| Main Authors: | , , |
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| Format: | Journal Article |
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Praise Worthy Prize
2010
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| Online Access: | http://www.praiseworthyprize.com/IREACO-latest/IREACO_vol_3_n_4.html http://hdl.handle.net/20.500.11937/18080 |
| _version_ | 1848749641762340864 |
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| author | Habavi, S. Masoum, Mohammad Sherkat Kazemi, A. |
| author_facet | Habavi, S. Masoum, Mohammad Sherkat Kazemi, A. |
| author_sort | Habavi, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generator at each bus. Simulation results based on the proposed GA and the Power World Simulator software are presented and compared for 3-bus and 5-bus test systems. |
| first_indexed | 2025-11-14T07:24:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-18080 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:24:10Z |
| publishDate | 2010 |
| publisher | Praise Worthy Prize |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-180802017-05-30T08:11:14Z An Optimal Transmission Congestion Management in Open Power Markets Habavi, S. Masoum, Mohammad Sherkat Kazemi, A. Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generator at each bus. Simulation results based on the proposed GA and the Power World Simulator software are presented and compared for 3-bus and 5-bus test systems. 2010 Journal Article http://hdl.handle.net/20.500.11937/18080 http://www.praiseworthyprize.com/IREACO-latest/IREACO_vol_3_n_4.html Praise Worthy Prize restricted |
| spellingShingle | Habavi, S. Masoum, Mohammad Sherkat Kazemi, A. An Optimal Transmission Congestion Management in Open Power Markets |
| title | An Optimal Transmission Congestion Management in Open Power Markets |
| title_full | An Optimal Transmission Congestion Management in Open Power Markets |
| title_fullStr | An Optimal Transmission Congestion Management in Open Power Markets |
| title_full_unstemmed | An Optimal Transmission Congestion Management in Open Power Markets |
| title_short | An Optimal Transmission Congestion Management in Open Power Markets |
| title_sort | optimal transmission congestion management in open power markets |
| url | http://www.praiseworthyprize.com/IREACO-latest/IREACO_vol_3_n_4.html http://hdl.handle.net/20.500.11937/18080 |