Journal of System Simulation ›› 2017, Vol. 29 ›› Issue (4): 699-707.doi: 10.16182/j.issn1004731x.joss.201704001

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Coordinated Control of Power System Based on Direct Neural Dynamic Programming Method

Yu Miao1,2, Shang Weipeng1,2, Lu Ning1,2   

  1. 1. School of Mechanical-electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture,Beijing 100044,China;
    2. Beijing Key Laboratory of Service Performance of Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture,Beijing 100044, China.
  • Received:2015-06-19 Revised:2015-10-23 Online:2017-04-08 Published:2020-06-03

Abstract: Inter-area low frequency oscillation with weak damping is a key issue affecting the security and stability operation of power grid. Currently, the implementation of wide-area DC and generator control has become one of the important means to improve inter-area low frequency oscillation damping. But the coordination among the controllers of generator, HVDC and FACTS needs to further studying. The application structure of direct neural dynamic programming method in power system stability control was proposed, and based on phase-shift neural network of general lead-lag link, the proposed method was embedded in the traditional power system stability controller. It was applied to a typical grid structure as well as in the South China power grid to achieve a coordinated controller design. Simulation results show that this method can realize the coordinated controller design, and the coordinated control effect is very good.

Key words: low frequency oscillation, direct neural dynamic programming, phase-shift neural network, coordinated control, power system stability

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