Reactive power reserve optimization method for AC/DC hybrid receiving network based on multi-order trajectory sensitivity

Authors

Zijie QI, College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090 , China
Tianhua CHEN, NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 210006 , China ；NARI Technology Co.Ltd., Nanjing 211106 , China ；State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106 , China
Bin WANG, Department of Electrical Engineering, Tsinghua University, Beijing 100084 , China
Huaichang GE, Department of Electrical Engineering, Tsinghua University, Beijing 100084 , China
Jianhua CHEN, NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 210006 , China ；NARI Technology Co.Ltd., Nanjing 211106 , China ；State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106 , China
Lufei XU, NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 210006 , China ；NARI Technology Co.Ltd., Nanjing 211106 , China ；State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106 , China

Keywords

AC-DC hybrid power grid, commutation failure, algebraic differential equation, trajectory sensitivity, dynamic reactive reserve

Abstract

During the process of the commutation failure in power grid, a large amount of dynamic reactive power are consumed. Once a commutation failure occurs, it affects the safe operation of the grideasily. Under the background, anreservereactive poweroptimization for AC-DC hybrid power gridsisproposed to reduce the risk of accidental DC commutation failure propagation. Firstly, a differential algebraic equation for the AC / DC hybrid system is established. The multi-order trajectory sensitivity of the system is obtainedon the basis of the first-order trajectory sensitivity. According to the current operating conditions of the power system, a dynamic reactive power reserve optimization model including a generator and a reactor is then established, and the optimal solution of the dynamic reactive power reserve optimization is solved. Finally, a practical system ismodeledto verify the feasibility and effectiveness of the method.

DOI

10.19781/j.issn.1673-9140.2022.01.009

First Page

74

Last Page

81

Recommended Citation

QI, Zijie; CHEN, Tianhua; WANG, Bin; GE, Huaichang; CHEN, Jianhua; and XU, Lufei (2022) "Reactive power reserve optimization method for AC/DC hybrid receiving network based on multi-order trajectory sensitivity," Journal of Electric Power Science and Technology: Vol. 37: Iss. 1, Article 9.
DOI: 10.19781/j.issn.1673-9140.2022.01.009
Available at: https://jepst.researchcommons.org/journal/vol37/iss1/9