Research on Automatic Power Flow Convergence Adjustment Method Based on Modified DC Power Flow Algorithm

被引:0
|
作者
Zhang S. [1 ]
Zhang D. [1 ]
Huang Y. [1 ]
Li W. [1 ]
Chen X. [1 ]
Tang Y. [1 ]
机构
[1] State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing
来源
基金
中国国家自然科学基金;
关键词
Intelligent optimization algorithms; Modified DC power flow; Power flow adjustment; Power flow convergence; Power system; Reinforcement learning;
D O I
10.13335/j.1000-3673.pst.2019.1969
中图分类号
学科分类号
摘要
To get convergence solution for power flow calculation, the traditional method is to manually changing the presuppositions again and again. With the increase of scale and complication of power system, it is more difficult for dispatchers and planners to get convergent power flow calculation results, which makes it necessary to implement an automatic power flow convergence adjustment method. In this paper, an automatic power flow convergence adjustment method is proposed based on modified DC power flow algorithm. Due to the weak coupling characteristics in power flow calculation of high-voltage grid, the active and the reactive power were adjusted separately. For adjusting the active power, an index of fractional active power balance was proposed based on modified DC power flow algorithm. For the adjustment of the reactive power, a virtual reactive power grid and an index of fractional reactive power balance were proposed. Both the active and reactive power were adjusted using intelligent optimization algorithm or reinforcement learning for the power flow convergence restoration. Simulations in the IEEE 118-bus system and the real power system have proved the feasibility and effectiveness of the proposed method. © 2021, Power System Technology Press. All right reserved.
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页码:86 / 97
页数:11
相关论文
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