基于半动态拓扑优化的电网运行方式辅助决策
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TM732

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中国南方电网有限责任公司科技项目(ZBKJXM20180608)


Auxiliary decision-making of power system operation mode based on semi-dynamic topology optimization
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Science and Technology Foundation of China Southern Power Grid Company Limited (No ZBKJXM20180608)

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    摘要:

    网络拓扑优化作为一种新技术,通过在电网运行过程中改变网络结构来改善系统潮流分布,提升系统运行安全经济性。文中针对现有静态与动态网络拓扑优化方法分别存在的灵活性差与计算效率低的问题,提出了一种折中的半动态拓扑优化方法,进而基于该方法进行电力系统运行方式的辅助决策。首先,介绍了当前静态与动态两类网络拓扑优化方法的优缺点,进而提出了半动态网络拓扑优化方法;其次,基于静态、动态与半动态3类网络拓扑优化方法,构建了一般形式的电网运行方式辅助决策模型,进而运用线性化技术,将所提模型转化为混合整数线性规划问题;最后,对IEEE 14节点及IEEE 118节点系统进行计算分析,说明了所提半动态网络拓扑优化方法能够兼顾系统运行灵活性与模型解算效率。

    Abstract:

    Network topology optimization which is a new technology improves the distribution of system power flow and system safety and economy by changing the network topology dynamically during the power system operation. Aiming at the problems of poor flexibility and low computation efficiency in the existing static and dynamic network topology optimization methods, a semi-dynamic network topology optimization method is proposed in this paper. Based on this method, the auxiliary optimization of power system operation mode is carried out. Firstly, the advantages and disadvantages of current static and dynamic network topology optimization methods are described, and then a semi-dynamic network topology optimization method is proposed. Secondly, on the basis of static, dynamic, and semi-dynamic network topology optimization methods, a general form of auxiliary optimization model of day-ahead power system operation is constructed. By using linearization technology, the proposed dynamic economic dispatch model is transformed into a mixed integer linear programming problem. Finally, test results of the IEEE 14 bus system and IEEE 118 bus system demonstrate that the proposed method achieves the coordination both the power system operation flexibility and computation efficiency.

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翁毅选,马伟哲,史军,何晓峰,翟鹤峰,赵利刚.基于半动态拓扑优化的电网运行方式辅助决策[J].电力工程技术,2021,40(4):115-122

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  • 收稿日期:2021-02-13
  • 最后修改日期:2021-04-05
  • 录用日期:2020-09-21
  • 在线发布日期: 2021-08-11
  • 出版日期: 2021-07-28
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