Journal of System Simulation
Abstract
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.
Recommended Citation
Miao, Yu; Shang, Weipeng; and Ning, Lu
(2020)
"Coordinated Control of Power System Based on Direct Neural Dynamic Programming Method,"
Journal of System Simulation: Vol. 29:
Iss.
4, Article 1.
DOI: 10.16182/j.issn1004731x.joss.201704001
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss4/1
First Page
699
Revised Date
2015-10-23
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201704001
Last Page
707
CLC
TM712
Recommended Citation
Yu Miao, Shang Weipeng, Lu Ning. Coordinated Control of Power System Based on Direct Neural Dynamic Programming Method[J]. Journal of System Simulation, 2017, 29(4): 699-707.
DOI
10.16182/j.issn1004731x.joss.201704001
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons