姚海成, 张金龙, 鲍颜红, 徐泰山, 苏寅生, 苗本琳. 大规模电网月度方式变压器变比优化方法[J]. 现代电力, 2019, 36(4): 88-94.
引用本文: 姚海成, 张金龙, 鲍颜红, 徐泰山, 苏寅生, 苗本琳. 大规模电网月度方式变压器变比优化方法[J]. 现代电力, 2019, 36(4): 88-94.
YAO Haicheng, ZHANG Jinlong, BAO Yanhong, XU Taishan, SU Yinsheng, MIAO Benlin. Transformer Ratio Optimization Method for Large Scale Power Grid Monthly Operational Mode[J]. Modern Electric Power, 2019, 36(4): 88-94.
Citation: YAO Haicheng, ZHANG Jinlong, BAO Yanhong, XU Taishan, SU Yinsheng, MIAO Benlin. Transformer Ratio Optimization Method for Large Scale Power Grid Monthly Operational Mode[J]. Modern Electric Power, 2019, 36(4): 88-94.

大规模电网月度方式变压器变比优化方法

Transformer Ratio Optimization Method for Large Scale Power Grid Monthly Operational Mode

  • 摘要: 针对工程实践中面临的大规模电网月度方式变压器变比优化问题,提出了一种基于集群并行计算的枚举组合优化方法。采用确定变比上下界、相同电气分区组合和逐步寻优方法缩小最优变比搜索区间,在线性区间内再基于变比灵敏度通过线性规划求解,并通过内点法收敛性改进提高计算效率。上述方法可以有效避免“组合爆炸”问题。通过南方电网实际案例,验证了所提方法的有效性。

     

    Abstract: To solve transformer ratio optimization problem for large scale power grid monthly operational mode, a combinatorial optimization method based on cluster parallel computing is proposed in this paper.The searching range of optimal ratio is reduced through methods such as determining the upper and lower bound, ratio combination within electrical section, and step-by-step optimization, then the optimal tap position can be given out through linear programming in quasi-linear interval based on sensitivity. The computing efficiency is improved by enhancing the convergence of interior point algorithm. The method can effectively avoid the problem of ‘combination explosion’. The effectiveness is verified by a practical case of the China Southern Power Grid.

     

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