Original scientific paper

https://doi.org/10.17559/TV-20160110060449

A fast multi-step prediction and rolling optimization excitation control method for multi-machine power system

Hongshan Zhao orcid.org/0000-0001-7370-5480 ; North China Electric Power University, Baoding, Hebei 071003 China
Xiaoming Lan orcid.org/0000-0001-7370-5480 ; North China Electric Power University, Baoding, Hebei 071003 China
Zengqiang Mi ; North China Electric Power University, Baoding, Hebei 071003 China

Abstract

A fast excitation predictive control method for multi-machine power system is presented. The multi-step prediction technique is realized via system dynamic model. Some inequality constraints on states, inputs and outputs are considered in rolling optimization. The Gramian balanced reduction technique and the improved optimization algorithm are used in order to save the time of open-loop optimization in model predictive control. A 50-machine power system is used to verify the effectiveness of this approach. Compared with simulated results under different controllers, this method can greatly reduce the calculating-time. The voltages of generator terminals are maintained within the set points. The stability of power system is improved.

Keywords

balanced reduction; excitation control; multi-machine power system; predictive control

Hrčak ID:

190162

URI

https://hrcak.srce.hr/190162

Publication date:

3.12.2017.

Article data in other languages: croatian

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