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Australian Journal of Electrical and Electronics Engineering Volume 1, 2004 - Issue 1
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Technical Paper

Real-time optimal excitation controller using system identification

Fan ShuDepartment of Electrical Engineering, Huazhong University of Science and Technology, Wuhan, P.R.ChinaView further author information
,
Mao ChengxiongDepartment of Electrical Engineering, Huazhong University of Science and Technology, Wuhan, P.R.ChinaView further author information
,
Lu JimingDepartment of Electrical Engineering, Huazhong University of Science and Technology, Wuhan, P.R.ChinaView further author information
&
O.P. MalikDepartment of Electrical and Computer Engineering, University of Calgary, CanadaView further author information
Pages 7-13 | Received 11 Dec 2002, Accepted 11 Nov 2003, Published online: 22 Sep 2015

References

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  • Lu Q, Wang ZH, Han YD. Optimal control in electric power transmission system. Peking: Scientific Press, 1984.
  • Mao CX, Fan J, Malik OP, Hope GS. Studies of real-time adaptive optimal excitation controller and adaptive optimal power system stabilizer. IEEE Trans. on Energy Conversion, 1992;7(3):598–605.
  • Mahran AR, Hogg BW, Sharaf SM, Serag AM. Integrated control scheme for generators and VAr compensators in power systems. International Conference on Advances in Power System Control, Operation and Management, 1991.
  • Soos A, Malik OP. An H2 optimal adaptive power system stabilizer. IEEE Trans. on Energy Conversion 2002;17(1):143–149.
  • Fan S, Mao CX, Lu JM. Optimal excitation controller based on BP neural network. Automation of Electric Power Systems, 2000;24(8):29-32.
  • Jiang TZ, Zheng FS. Improvement on the convergence and multi-solution of the identified synchronous machine’s parameters by least square method. Journal of Electric Machines and Control, 1999;3(4):203–206.
  • Benchluch SM, Chow JH. A trajectory sensitivity method for the identification of nonlinear excitation system models. IEEE Trans. on Energy Conversion 1993;8(2):159–164.

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