摘要
基于原始问题的扰动的Karush Kuhn Tucker条件,推导出一种求解水火电力系统最优潮流(HTOPF)问题的现代内点算法。沿着内点法的中心方向将该算法成功地扩展于求解次最优的HTOPF问题时(A-HTOPF)。与HTOPF相比,A-HTOPF不仅在求解大规模系统问题CPU时间下降1～2倍,而且在大多数情况下,可以保证所得最优目标值的精度高于99％。
An interior point nonlinear programming algorithm is presented for hydrothermal optimal power flow (HTOPF) problems. The algorithm is derived in a general formulation based on the perturbed Karush Kuhn Tucker (KKT) conditions of the primal problem. The algorithm is extended successfully to solve the approximate HTOPF (A-HTOPF) problems to find a suboptimal solution with less execution time by means of centering direction of the interior point method. In comparison with the HTOPF, the A-HTOPF can reduce CPU time by half and can guarantee more than 99% accuracy of optimal objective value in most cases for large-scale systems. The effectiveness of the proposed algorithm is verified by extensive numerical results.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2003年第4期5-8,共4页
Proceedings of the CSEE
基金
国家自然科学基金项目(59867001)
广西科技厅配套基金项目
广西十百千人才基金项目(桂人函[1998]354)
广西教育厅基金项目(桂教科研[1998]169)
关键词
水火电力系统
最优潮流
现代内点理论分析
计算方法
电力系统
Hydrothermal power system
Optimal power flow
Cascade hydro-plant
Interior point method
Centering direction
