Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (4): 102-107.doi: 10.3969/j.issn.1008-0198.2023.04.015

• Experience and Discussion • Previous Articles     Next Articles

Multi-Section Active Power Flow Control Algorithm Based on Multiple Regression Analysis and Iterative Linear Plan

YI Min, ZHAO Miao, ZHOU Hengyi   

  1. State Grid Hunan Electric Power Company Limited Power Research Institute, Changsha 410208, China
  • Received:2023-02-01 Revised:2023-05-26 Online:2023-08-25 Published:2023-09-07

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Abstract: A control algorithm based on multiple regression for multi-section active power flow is proposed in the paper.Firstly, the feature quantities with strong correlation with cross-section power flow are extracted.The Pearson correlation coefficient is used to calculate the correlation coefficient between the extracted feature quantity and the power flow of each section.According to the correlation coefficient, the extracted feature quantity is screened and multiple regression analysis is performed.Then, a multi-section power flow optimal control solution model is proposed.The model is used to calculate the adjustment amount of generator output for a given cross-sectional power flow adjustment.Finally, the proposed algorithm is verified using IEEE39 bus system, and the results show that the algorithm can not only accurately control the active power flow of multiple sections, but also calculate quickly.

Key words: multi-section flow control, correlation, multiple regression, feature extraction, iterative multi-section flow control

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