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- Title
基于改进灰狼算法的交直流混联电网 经济调度方法.
- Authors
袁泉; 周鑫; 周毓敏; 吴云亮; 张德亮; 郭少青
- Abstract
In order to improve the efficiency of economic dispatch in AC-DC hybrid power grid,a day-ahead dispatching method based on an improved gray wolf algorithm was proposed. There are great differences between DC and AC transmission lines in terms of network loss expression and transmission characteristics,which makes the economic dispatch model of AC-DC hybrid power grid more complex than that of traditional AC power grid. Because this problem involves a large number of mixed integer programming variables,the traditional intelligent algorithm is easy to fall into the local optimal solution and difficult to obtain the optimal solution that meets the requirements. An improved gray wolf algorithm was proposed by introducing initial opposition search and adaptive local search and it was applied to the day-ahead economic dispatch problem of AC-DC hybrid power grid with network loss. A case study based on IEEE RTS-96 three region buses system shows that compared with particle swarm optimization and moth flapping algorithm,the improved algorithm can guarantee similar solving efficiency with avoiding falling into local optimal solution,which has stronger searching ability.
- Subjects
AC DC transformers; ELECTRIC power distribution grids; ELECTRIC power distribution equipment; POWER distribution networks; ENERGY industries
- Publication
Electric Drive, 2022, Vol 52, Issue 6, p47
- ISSN
1001-2095
- Publication type
Article
- DOI
10.19457/j.1001-2095.dqcd22412